Results: Modeling and Forecasting

The UCM Procedure

Input Data Set

Input Data Set
Name WORK.PREPROCESSEDDATA
Time ID Variable Date_of_death

County=Clark

Series Span Summary

Estimation Span

County=Clark

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.40678 1.30620

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.40678 1.30620

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.35915
Level Error Variance 0.50968
Season Error Variance 1.78570

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -395
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 796.06
BIC (smaller is better) 806.29
AICC (smaller is better) 796.17
HQIC (smaller is better) 800.19
CAIC (smaller is better) 809.29
Likelihood Optimization Algorithm Converged in 15 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 1.63668 0.15598 10.49 <.0001
Level Error Variance 0.00097308 0.0011333 0.86 0.3905
Season Error Variance 1.851008E-7 0.0001057 0.00 0.9986

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 1.99422
Root Mean Squared Error 1.41217
Mean Absolute Percentage Error 76.15010
Maximum Percent Error 75.24209
R-Square -0.19127
Adjusted R-Square -0.20205
Random Walk R-Square 0.32623
Amemiya's Adjusted R-Square -0.22361

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 7.70 0.0055
Level 1 109.66 <.0001
Season 11 13.62 0.2550

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.080551539 0.1986823

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 1.851008E-7

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error		 Chi-Square DF Pr > ChiSq
193 FEB2016 Additive Outlier 2.63569 1.3192695 3.99 1 0.0457

Residual Diagnostics Panel

Prediction Error = 4.6579 Percent = 0.0176 Prediction Error = 4.6108 Percent = 0.0215 Prediction Error = 4.6108 Percent = 0.0215 Prediction Error = 4.5637 Percent = 0.026 Prediction Error = 4.5637 Percent = 0.026 Prediction Error = 4.5166 Percent = 0.0314 Prediction Error = 4.5166 Percent = 0.0314 Prediction Error = 4.4695 Percent = 0.0377 Prediction Error = 4.4695 Percent = 0.0377 Prediction Error = 4.4224 Percent = 0.0451 Prediction Error = 4.4224 Percent = 0.0451 Prediction Error = 4.3753 Percent = 0.0537 Prediction Error = 4.3753 Percent = 0.0537 Prediction Error = 4.3282 Percent = 0.0637 Prediction Error = 4.3282 Percent = 0.0637 Prediction Error = 4.2811 Percent = 0.0753 Prediction Error = 4.2811 Percent = 0.0753 Prediction Error = 4.2341 Percent = 0.0886 Prediction Error = 4.2341 Percent = 0.0886 Prediction Error = 4.187 Percent = 0.1039 Prediction Error = 4.187 Percent = 0.1039 Prediction Error = 4.1399 Percent = 0.1213 Prediction Error = 4.1399 Percent = 0.1213 Prediction Error = 4.0928 Percent = 0.1412 Prediction Error = 4.0928 Percent = 0.1412 Prediction Error = 4.0457 Percent = 0.1637 Prediction Error = 4.0457 Percent = 0.1637 Prediction Error = 3.9986 Percent = 0.1891 Prediction Error = 3.9986 Percent = 0.1891 Prediction Error = 3.9515 Percent = 0.2177 Prediction Error = 3.9515 Percent = 0.2177 Prediction Error = 3.9044 Percent = 0.2498 Prediction Error = 3.9044 Percent = 0.2498 Prediction Error = 3.8573 Percent = 0.2858 Prediction Error = 3.8573 Percent = 0.2858 Prediction Error = 3.8102 Percent = 0.3259 Prediction Error = 3.8102 Percent = 0.3259 Prediction Error = 3.7631 Percent = 0.3706 Prediction Error = 3.7631 Percent = 0.3706 Prediction Error = 3.7161 Percent = 0.4201 Prediction Error = 3.7161 Percent = 0.4201 Prediction Error = 3.669 Percent = 0.475 Prediction Error = 3.669 Percent = 0.475 Prediction Error = 3.6219 Percent = 0.5355 Prediction Error = 3.6219 Percent = 0.5355 Prediction Error = 3.5748 Percent = 0.6023 Prediction Error = 3.5748 Percent = 0.6023 Prediction Error = 3.5277 Percent = 0.6756 Prediction Error = 3.5277 Percent = 0.6756 Prediction Error = 3.4806 Percent = 0.756 Prediction Error = 3.4806 Percent = 0.756 Prediction Error = 3.4335 Percent = 0.844 Prediction Error = 3.4335 Percent = 0.844 Prediction Error = 3.3864 Percent = 0.9401 Prediction Error = 3.3864 Percent = 0.9401 Prediction Error = 3.3393 Percent = 1.0448 Prediction Error = 3.3393 Percent = 1.0448 Prediction Error = 3.2922 Percent = 1.1587 Prediction Error = 3.2922 Percent = 1.1587 Prediction Error = 3.2451 Percent = 1.2822 Prediction Error = 3.2451 Percent = 1.2822 Prediction Error = 3.198 Percent = 1.4159 Prediction Error = 3.198 Percent = 1.4159 Prediction Error = 3.151 Percent = 1.5603 Prediction Error = 3.151 Percent = 1.5603 Prediction Error = 3.1039 Percent = 1.7158 Prediction Error = 3.1039 Percent = 1.7158 Prediction Error = 3.0568 Percent = 1.883 Prediction Error = 3.0568 Percent = 1.883 Prediction Error = 3.0097 Percent = 2.0621 Prediction Error = 3.0097 Percent = 2.0621 Prediction Error = 2.9626 Percent = 2.2535 Prediction Error = 2.9626 Percent = 2.2535 Prediction Error = 2.9155 Percent = 2.4575 Prediction Error = 2.9155 Percent = 2.4575 Prediction Error = 2.8684 Percent = 2.6741 Prediction Error = 2.8684 Percent = 2.6741 Prediction Error = 2.8213 Percent = 2.9034 Prediction Error = 2.8213 Percent = 2.9034 Prediction Error = 2.7742 Percent = 3.1453 Prediction Error = 2.7742 Percent = 3.1453 Prediction Error = 2.7271 Percent = 3.3995 Prediction Error = 2.7271 Percent = 3.3995 Prediction Error = 2.68 Percent = 3.6657 Prediction Error = 2.68 Percent = 3.6657 Prediction Error = 2.633 Percent = 3.9433 Prediction Error = 2.633 Percent = 3.9433 Prediction Error = 2.5859 Percent = 4.2316 Prediction Error = 2.5859 Percent = 4.2316 Prediction Error = 2.5388 Percent = 4.5297 Prediction Error = 2.5388 Percent = 4.5297 Prediction Error = 2.4446 Percent = 5.1507 Prediction Error = 2.4446 Percent = 5.1507 Prediction Error = 2.2562 Percent = 6.4517 Prediction Error = 2.2562 Percent = 6.4517 Prediction Error = 2.115 Percent = 7.4234 Prediction Error = 2.115 Percent = 7.4234 Prediction Error = 2.0208 Percent = 8.04 Prediction Error = 2.0208 Percent = 8.04 Prediction Error = 1.9737 Percent = 8.3332 Prediction Error = 1.9737 Percent = 8.3332 Prediction Error = 1.9266 Percent = 8.6138 Prediction Error = 1.9266 Percent = 8.6138 Prediction Error = 1.8795 Percent = 8.8804 Prediction Error = 1.8795 Percent = 8.8804 Prediction Error = 1.8324 Percent = 9.1314 Prediction Error = 1.8324 Percent = 9.1314 Prediction Error = 1.7853 Percent = 9.3657 Prediction Error = 1.7853 Percent = 9.3657 Prediction Error = 1.7382 Percent = 9.5822 Prediction Error = 1.7382 Percent = 9.5822 Prediction Error = 1.6911 Percent = 9.7802 Prediction Error = 1.6911 Percent = 9.7802 Prediction Error = 1.644 Percent = 9.9592 Prediction Error = 1.644 Percent = 9.9592 Prediction Error = 1.5969 Percent = 10.119 Prediction Error = 1.5969 Percent = 10.119 Prediction Error = 1.5499 Percent = 10.26 Prediction Error = 1.5499 Percent = 10.26 Prediction Error = 1.5028 Percent = 10.382 Prediction Error = 1.5028 Percent = 10.382 Prediction Error = 1.4557 Percent = 10.486 Prediction Error = 1.4557 Percent = 10.486 Prediction Error = 1.4086 Percent = 10.572 Prediction Error = 1.4086 Percent = 10.572 Prediction Error = 1.3615 Percent = 10.642 Prediction Error = 1.3615 Percent = 10.642 Prediction Error = 1.3144 Percent = 10.697 Prediction Error = 1.3144 Percent = 10.697 Prediction Error = 1.2673 Percent = 10.739 Prediction Error = 1.2673 Percent = 10.739 Prediction Error = 1.2202 Percent = 10.768 Prediction Error = 1.2202 Percent = 10.768 Prediction Error = 1.1731 Percent = 10.787 Prediction Error = 1.1731 Percent = 10.787 Prediction Error = 1.126 Percent = 10.797 Prediction Error = 1.126 Percent = 10.797 Prediction Error = 1.0789 Percent = 10.8 Prediction Error = 1.0789 Percent = 10.8 Prediction Error = 1.0319 Percent = 10.798 Prediction Error = 1.0319 Percent = 10.798 Prediction Error = 0.9848 Percent = 10.792 Prediction Error = 0.9848 Percent = 10.792 Prediction Error = 0.9377 Percent = 10.784 Prediction Error = 0.9377 Percent = 10.784 Prediction Error = 0.8906 Percent = 10.776 Prediction Error = 0.8906 Percent = 10.776 Prediction Error = 0.8435 Percent = 10.769 Prediction Error = 0.8435 Percent = 10.769 Prediction Error = 0.7964 Percent = 10.764 Prediction Error = 0.7964 Percent = 10.764 Prediction Error = 0.7493 Percent = 10.763 Prediction Error = 0.7493 Percent = 10.763 Prediction Error = 0.7022 Percent = 10.767 Prediction Error = 0.7022 Percent = 10.767 Prediction Error = 0.6551 Percent = 10.776 Prediction Error = 0.6551 Percent = 10.776 Prediction Error = 0.608 Percent = 10.791 Prediction Error = 0.608 Percent = 10.791 Prediction Error = 0.5609 Percent = 10.813 Prediction Error = 0.5609 Percent = 10.813 Prediction Error = 0.5138 Percent = 10.843 Prediction Error = 0.5138 Percent = 10.843 Prediction Error = 0.4668 Percent = 10.88 Prediction Error = 0.4668 Percent = 10.88 Prediction Error = 0.4197 Percent = 10.926 Prediction Error = 0.4197 Percent = 10.926 Prediction Error = 0.3726 Percent = 10.98 Prediction Error = 0.3726 Percent = 10.98 Prediction Error = 0.3255 Percent = 11.042 Prediction Error = 0.3255 Percent = 11.042 Prediction Error = 0.2784 Percent = 11.113 Prediction Error = 0.2784 Percent = 11.113 Prediction Error = 0.2313 Percent = 11.192 Prediction Error = 0.2313 Percent = 11.192 Prediction Error = 0.1842 Percent = 11.279 Prediction Error = 0.1842 Percent = 11.279 Prediction Error = 0.1371 Percent = 11.375 Prediction Error = 0.1371 Percent = 11.375 Prediction Error = 0.09 Percent = 11.478 Prediction Error = 0.09 Percent = 11.478 Prediction Error = 0.0429 Percent = 11.59 Prediction Error = 0.0429 Percent = 11.59 Prediction Error = -0.004 Percent = 11.708 Prediction Error = -0.004 Percent = 11.708 Prediction Error = -0.051 Percent = 11.834 Prediction Error = -0.051 Percent = 11.834 Prediction Error = -0.098 Percent = 11.966 Prediction Error = -0.098 Percent = 11.966 Prediction Error = -0.145 Percent = 12.104 Prediction Error = -0.145 Percent = 12.104 Prediction Error = -0.193 Percent = 12.248 Prediction Error = -0.193 Percent = 12.248 Prediction Error = -0.24 Percent = 12.397 Prediction Error = -0.24 Percent = 12.397 Prediction Error = -0.522 Percent = 13.346 Prediction Error = -0.522 Percent = 13.346 Prediction Error = -0.616 Percent = 13.656 Prediction Error = -0.616 Percent = 13.656 Prediction Error = -0.663 Percent = 13.804 Prediction Error = -0.663 Percent = 13.804 Prediction Error = -0.711 Percent = 13.945 Prediction Error = -0.711 Percent = 13.945 Prediction Error = -0.758 Percent = 14.076 Prediction Error = -0.758 Percent = 14.076 Prediction Error = -0.805 Percent = 14.197 Prediction Error = -0.805 Percent = 14.197 Prediction Error = -0.852 Percent = 14.304 Prediction Error = -0.852 Percent = 14.304 Prediction Error = -0.899 Percent = 14.397 Prediction Error = -0.899 Percent = 14.397 Prediction Error = -0.946 Percent = 14.473 Prediction Error = -0.946 Percent = 14.473 Prediction Error = -0.993 Percent = 14.531 Prediction Error = -0.993 Percent = 14.531 Prediction Error = -1.04 Percent = 14.568 Prediction Error = -1.04 Percent = 14.568 Prediction Error = -1.087 Percent = 14.583 Prediction Error = -1.087 Percent = 14.583 Prediction Error = -1.134 Percent = 14.575 Prediction Error = -1.134 Percent = 14.575 Prediction Error = -1.181 Percent = 14.541 Prediction Error = -1.181 Percent = 14.541 Prediction Error = -1.229 Percent = 14.482 Prediction Error = -1.229 Percent = 14.482 Prediction Error = -1.276 Percent = 14.395 Prediction Error = -1.276 Percent = 14.395 Prediction Error = -1.323 Percent = 14.281 Prediction Error = -1.323 Percent = 14.281 Prediction Error = -1.37 Percent = 14.138 Prediction Error = -1.37 Percent = 14.138 Prediction Error = -1.417 Percent = 13.967 Prediction Error = -1.417 Percent = 13.967 Prediction Error = -1.464 Percent = 13.768 Prediction Error = -1.464 Percent = 13.768 Prediction Error = -1.511 Percent = 13.541 Prediction Error = -1.511 Percent = 13.541 Prediction Error = -1.558 Percent = 13.287 Prediction Error = -1.558 Percent = 13.287 Prediction Error = -1.605 Percent = 13.007 Prediction Error = -1.605 Percent = 13.007 Prediction Error = -1.652 Percent = 12.703 Prediction Error = -1.652 Percent = 12.703 Prediction Error = -1.699 Percent = 12.375 Prediction Error = -1.699 Percent = 12.375 Prediction Error = -1.747 Percent = 12.027 Prediction Error = -1.747 Percent = 12.027 Prediction Error = -1.794 Percent = 11.659 Prediction Error = -1.794 Percent = 11.659 Prediction Error = -1.841 Percent = 11.274 Prediction Error = -1.841 Percent = 11.274 Prediction Error = -1.935 Percent = 10.462 Prediction Error = -1.935 Percent = 10.462 Prediction Error = -2.17 Percent = 8.3085 Prediction Error = -2.17 Percent = 8.3085 Prediction Error = -2.312 Percent = 7.028 Prediction Error = -2.312 Percent = 7.028 Prediction Error = -2.406 Percent = 6.2142 Prediction Error = -2.406 Percent = 6.2142 Prediction Error = -2.453 Percent = 5.8243 Prediction Error = -2.453 Percent = 5.8243 Prediction Error = -2.5 Percent = 5.4473 Prediction Error = -2.5 Percent = 5.4473 Prediction Error = -2.547 Percent = 5.0843 Prediction Error = -2.547 Percent = 5.0843 Prediction Error = -2.594 Percent = 4.736 Prediction Error = -2.594 Percent = 4.736 Prediction Error = -2.641 Percent = 4.4031 Prediction Error = -2.641 Percent = 4.4031 Prediction Error = -2.688 Percent = 4.0859 Prediction Error = -2.688 Percent = 4.0859 Prediction Error = -2.735 Percent = 3.7847 Prediction Error = -2.735 Percent = 3.7847 Prediction Error = -2.783 Percent = 3.4996 Prediction Error = -2.783 Percent = 3.4996 Prediction Error = -2.83 Percent = 3.2304 Prediction Error = -2.83 Percent = 3.2304 Prediction Error = -2.877 Percent = 2.9769 Prediction Error = -2.877 Percent = 2.9769 Prediction Error = -2.924 Percent = 2.7388 Prediction Error = -2.924 Percent = 2.7388 Prediction Error = -2.971 Percent = 2.5157 Prediction Error = -2.971 Percent = 2.5157 Prediction Error = -3.018 Percent = 2.3071 Prediction Error = -3.018 Percent = 2.3071 Prediction Error = -3.065 Percent = 2.1123 Prediction Error = -3.065 Percent = 2.1123 Prediction Error = -3.112 Percent = 1.9309 Prediction Error = -3.112 Percent = 1.9309 Prediction Error = -3.159 Percent = 1.7622 Prediction Error = -3.159 Percent = 1.7622 Prediction Error = -3.206 Percent = 1.6055 Prediction Error = -3.206 Percent = 1.6055 Prediction Error = -3.253 Percent = 1.4602 Prediction Error = -3.253 Percent = 1.4602 Prediction Error = -3.301 Percent = 1.3257 Prediction Error = -3.301 Percent = 1.3257 Prediction Error = -3.348 Percent = 1.2014 Prediction Error = -3.348 Percent = 1.2014 Prediction Error = -3.395 Percent = 1.0866 Prediction Error = -3.395 Percent = 1.0866 Prediction Error = -3.442 Percent = 0.9808 Prediction Error = -3.442 Percent = 0.9808 Prediction Error = -3.489 Percent = 0.8834 Prediction Error = -3.489 Percent = 0.8834 Prediction Error = -3.536 Percent = 0.7939 Prediction Error = -3.536 Percent = 0.7939 Prediction Error = -3.583 Percent = 0.7118 Prediction Error = -3.583 Percent = 0.7118 Prediction Error = -3.63 Percent = 0.6366 Prediction Error = -3.63 Percent = 0.6366 Prediction Error = -3.677 Percent = 0.5679 Prediction Error = -3.677 Percent = 0.5679 Prediction Error = -3.724 Percent = 0.5052 Prediction Error = -3.724 Percent = 0.5052 Prediction Error = -3.771 Percent = 0.4481 Prediction Error = -3.771 Percent = 0.4481 Prediction Error = -3.819 Percent = 0.3964 Prediction Error = -3.819 Percent = 0.3964 Prediction Error = -3.866 Percent = 0.3495 Prediction Error = -3.866 Percent = 0.3495 Prediction Error = -3.913 Percent = 0.3072 Prediction Error = -3.913 Percent = 0.3072 Prediction Error = -3.96 Percent = 0.2691 Prediction Error = -3.96 Percent = 0.2691 Prediction Error = -4.007 Percent = 0.2349 Prediction Error = -4.007 Percent = 0.2349 Prediction Error = -4.054 Percent = 0.2044 Prediction Error = -4.054 Percent = 0.2044 Prediction Error = -4.101 Percent = 0.1771 Prediction Error = -4.101 Percent = 0.1771 Prediction Error = -4.148 Percent = 0.1529 Prediction Error = -4.148 Percent = 0.1529 Prediction Error = -4.195 Percent = 0.1316 Prediction Error = -4.195 Percent = 0.1316 Prediction Error = -4.242 Percent = 0.1127 Prediction Error = -4.242 Percent = 0.1127 Prediction Error = -4.289 Percent = 0.0962 Prediction Error = -4.289 Percent = 0.0962 Prediction Error = -4.337 Percent = 0.0817 Prediction Error = -4.337 Percent = 0.0817 Prediction Error = -4.384 Percent = 0.0692 Prediction Error = -4.384 Percent = 0.0692 Prediction Error = -4.431 Percent = 0.0583 Prediction Error = -4.431 Percent = 0.0583 Prediction Error = -4.478 Percent = 0.0489 Prediction Error = -4.478 Percent = 0.0489 Prediction Error = -4.525 Percent = 0.0409 Prediction Error = -4.525 Percent = 0.0409 Prediction Error = -4.572 Percent = 0.034 Prediction Error = -4.572 Percent = 0.034 Prediction Error = -4.619 Percent = 0.0281 Prediction Error = -4.619 Percent = 0.0281 Prediction Error = -4.666 Percent = 0.0232 Prediction Error = 4.0889 Percent = 0.1888 Prediction Error = 4.0462 Percent = 0.2066 Prediction Error = 4.0462 Percent = 0.2066 Prediction Error = 4.0035 Percent = 0.226 Prediction Error = 4.0035 Percent = 0.226 Prediction Error = 3.9608 Percent = 0.2469 Prediction Error = 3.9608 Percent = 0.2469 Prediction Error = 3.9181 Percent = 0.2696 Prediction Error = 3.9181 Percent = 0.2696 Prediction Error = 3.8754 Percent = 0.294 Prediction Error = 3.8754 Percent = 0.294 Prediction Error = 3.8327 Percent = 0.3204 Prediction Error = 3.8327 Percent = 0.3204 Prediction Error = 3.7901 Percent = 0.3488 Prediction Error = 3.7901 Percent = 0.3488 Prediction Error = 3.7474 Percent = 0.3793 Prediction Error = 3.7474 Percent = 0.3793 Prediction Error = 3.7047 Percent = 0.4122 Prediction Error = 3.7047 Percent = 0.4122 Prediction Error = 3.662 Percent = 0.4475 Prediction Error = 3.662 Percent = 0.4475 Prediction Error = 3.6193 Percent = 0.4854 Prediction Error = 3.6193 Percent = 0.4854 Prediction Error = 3.5766 Percent = 0.526 Prediction Error = 3.5766 Percent = 0.526 Prediction Error = 3.5339 Percent = 0.5695 Prediction Error = 3.5339 Percent = 0.5695 Prediction Error = 3.4913 Percent = 0.616 Prediction Error = 3.4913 Percent = 0.616 Prediction Error = 3.4486 Percent = 0.6657 Prediction Error = 3.4486 Percent = 0.6657 Prediction Error = 3.4059 Percent = 0.7188 Prediction Error = 3.4059 Percent = 0.7188 Prediction Error = 3.3632 Percent = 0.7753 Prediction Error = 3.3632 Percent = 0.7753 Prediction Error = 3.3205 Percent = 0.8356 Prediction Error = 3.3205 Percent = 0.8356 Prediction Error = 3.2778 Percent = 0.8997 Prediction Error = 3.2778 Percent = 0.8997 Prediction Error = 3.2351 Percent = 0.9678 Prediction Error = 3.2351 Percent = 0.9678 Prediction Error = 3.1924 Percent = 1.0402 Prediction Error = 3.1924 Percent = 1.0402 Prediction Error = 3.1498 Percent = 1.1169 Prediction Error = 3.1498 Percent = 1.1169 Prediction Error = 3.1071 Percent = 1.1982 Prediction Error = 3.1071 Percent = 1.1982 Prediction Error = 3.0644 Percent = 1.2842 Prediction Error = 3.0644 Percent = 1.2842 Prediction Error = 3.0217 Percent = 1.3751 Prediction Error = 3.0217 Percent = 1.3751 Prediction Error = 2.979 Percent = 1.4711 Prediction Error = 2.979 Percent = 1.4711 Prediction Error = 2.9363 Percent = 1.5724 Prediction Error = 2.9363 Percent = 1.5724 Prediction Error = 2.8936 Percent = 1.6791 Prediction Error = 2.8936 Percent = 1.6791 Prediction Error = 2.851 Percent = 1.7914 Prediction Error = 2.851 Percent = 1.7914 Prediction Error = 2.8083 Percent = 1.9095 Prediction Error = 2.8083 Percent = 1.9095 Prediction Error = 2.7656 Percent = 2.0334 Prediction Error = 2.7656 Percent = 2.0334 Prediction Error = 2.7229 Percent = 2.1635 Prediction Error = 2.7229 Percent = 2.1635 Prediction Error = 2.6802 Percent = 2.2997 Prediction Error = 2.6802 Percent = 2.2997 Prediction Error = 2.6375 Percent = 2.4423 Prediction Error = 2.6375 Percent = 2.4423 Prediction Error = 2.5948 Percent = 2.5913 Prediction Error = 2.5948 Percent = 2.5913 Prediction Error = 2.5522 Percent = 2.7469 Prediction Error = 2.5522 Percent = 2.7469 Prediction Error = 2.5095 Percent = 2.9091 Prediction Error = 2.5095 Percent = 2.9091 Prediction Error = 2.4668 Percent = 3.0782 Prediction Error = 2.4668 Percent = 3.0782 Prediction Error = 2.4241 Percent = 3.254 Prediction Error = 2.4241 Percent = 3.254 Prediction Error = 2.3814 Percent = 3.4367 Prediction Error = 2.3814 Percent = 3.4367 Prediction Error = 2.3387 Percent = 3.6264 Prediction Error = 2.3387 Percent = 3.6264 Prediction Error = 2.296 Percent = 3.823 Prediction Error = 2.296 Percent = 3.823 Prediction Error = 2.2534 Percent = 4.0266 Prediction Error = 2.2534 Percent = 4.0266 Prediction Error = 2.2107 Percent = 4.2371 Prediction Error = 2.2107 Percent = 4.2371 Prediction Error = 2.168 Percent = 4.4546 Prediction Error = 2.168 Percent = 4.4546 Prediction Error = 2.0826 Percent = 4.91 Prediction Error = 2.0826 Percent = 4.91 Prediction Error = 1.9972 Percent = 5.3921 Prediction Error = 1.9972 Percent = 5.3921 Prediction Error = 1.9119 Percent = 5.8998 Prediction Error = 1.9119 Percent = 5.8998 Prediction Error = 1.8265 Percent = 6.4317 Prediction Error = 1.8265 Percent = 6.4317 Prediction Error = 1.7411 Percent = 6.9859 Prediction Error = 1.7411 Percent = 6.9859 Prediction Error = 1.1008 Percent = 11.55 Prediction Error = 1.1008 Percent = 11.55 Prediction Error = 0.9728 Percent = 12.458 Prediction Error = 0.9728 Percent = 12.458 Prediction Error = 0.8874 Percent = 13.044 Prediction Error = 0.8874 Percent = 13.044 Prediction Error = 0.802 Percent = 13.607 Prediction Error = 0.802 Percent = 13.607 Prediction Error = 0.7166 Percent = 14.142 Prediction Error = 0.7166 Percent = 14.142 Prediction Error = 0.674 Percent = 14.397 Prediction Error = 0.674 Percent = 14.397 Prediction Error = 0.6313 Percent = 14.644 Prediction Error = 0.6313 Percent = 14.644 Prediction Error = 0.5886 Percent = 14.881 Prediction Error = 0.5886 Percent = 14.881 Prediction Error = 0.5459 Percent = 15.108 Prediction Error = 0.5459 Percent = 15.108 Prediction Error = 0.5032 Percent = 15.325 Prediction Error = 0.5032 Percent = 15.325 Prediction Error = 0.4605 Percent = 15.53 Prediction Error = 0.4605 Percent = 15.53 Prediction Error = 0.4178 Percent = 15.724 Prediction Error = 0.4178 Percent = 15.724 Prediction Error = 0.3752 Percent = 15.905 Prediction Error = 0.3752 Percent = 15.905 Prediction Error = 0.3325 Percent = 16.074 Prediction Error = 0.3325 Percent = 16.074 Prediction Error = 0.2898 Percent = 16.23 Prediction Error = 0.2898 Percent = 16.23 Prediction Error = 0.2471 Percent = 16.372 Prediction Error = 0.2471 Percent = 16.372 Prediction Error = 0.2044 Percent = 16.501 Prediction Error = 0.2044 Percent = 16.501 Prediction Error = 0.1617 Percent = 16.615 Prediction Error = 0.1617 Percent = 16.615 Prediction Error = 0.119 Percent = 16.714 Prediction Error = 0.119 Percent = 16.714 Prediction Error = 0.0764 Percent = 16.799 Prediction Error = 0.0764 Percent = 16.799 Prediction Error = 0.0337 Percent = 16.868 Prediction Error = 0.0337 Percent = 16.868 Prediction Error = -0.009 Percent = 16.923 Prediction Error = -0.009 Percent = 16.923 Prediction Error = -0.052 Percent = 16.961 Prediction Error = -0.052 Percent = 16.961 Prediction Error = -0.094 Percent = 16.985 Prediction Error = -0.094 Percent = 16.985 Prediction Error = -0.137 Percent = 16.993 Prediction Error = -0.137 Percent = 16.993 Prediction Error = -0.18 Percent = 16.985 Prediction Error = -0.18 Percent = 16.985 Prediction Error = -0.222 Percent = 16.961 Prediction Error = -0.222 Percent = 16.961 Prediction Error = -0.265 Percent = 16.923 Prediction Error = -0.265 Percent = 16.923 Prediction Error = -0.308 Percent = 16.868 Prediction Error = -0.308 Percent = 16.868 Prediction Error = -0.351 Percent = 16.799 Prediction Error = -0.351 Percent = 16.799 Prediction Error = -0.393 Percent = 16.714 Prediction Error = -0.393 Percent = 16.714 Prediction Error = -0.436 Percent = 16.615 Prediction Error = -0.436 Percent = 16.615 Prediction Error = -0.479 Percent = 16.501 Prediction Error = -0.479 Percent = 16.501 Prediction Error = -0.521 Percent = 16.372 Prediction Error = -0.521 Percent = 16.372 Prediction Error = -0.564 Percent = 16.23 Prediction Error = -0.564 Percent = 16.23 Prediction Error = -0.607 Percent = 16.074 Prediction Error = -0.607 Percent = 16.074 Prediction Error = -0.649 Percent = 15.905 Prediction Error = -0.649 Percent = 15.905 Prediction Error = -0.692 Percent = 15.724 Prediction Error = -0.692 Percent = 15.724 Prediction Error = -0.735 Percent = 15.53 Prediction Error = -0.735 Percent = 15.53 Prediction Error = -0.777 Percent = 15.325 Prediction Error = -0.777 Percent = 15.325 Prediction Error = -0.82 Percent = 15.108 Prediction Error = -0.82 Percent = 15.108 Prediction Error = -0.863 Percent = 14.881 Prediction Error = -0.863 Percent = 14.881 Prediction Error = -0.905 Percent = 14.644 Prediction Error = -0.905 Percent = 14.644 Prediction Error = -0.948 Percent = 14.397 Prediction Error = -0.948 Percent = 14.397 Prediction Error = -0.991 Percent = 14.142 Prediction Error = -0.991 Percent = 14.142 Prediction Error = -1.076 Percent = 13.607 Prediction Error = -1.076 Percent = 13.607 Prediction Error = -1.162 Percent = 13.044 Prediction Error = -1.162 Percent = 13.044 Prediction Error = -1.674 Percent = 9.3721 Prediction Error = -1.674 Percent = 9.3721 Prediction Error = -1.845 Percent = 8.1511 Prediction Error = -1.845 Percent = 8.1511 Prediction Error = -1.973 Percent = 7.2706 Prediction Error = -1.973 Percent = 7.2706 Prediction Error = -2.058 Percent = 6.7061 Prediction Error = -2.058 Percent = 6.7061 Prediction Error = -2.143 Percent = 6.1629 Prediction Error = -2.143 Percent = 6.1629 Prediction Error = -2.229 Percent = 5.6429 Prediction Error = -2.229 Percent = 5.6429 Prediction Error = -2.314 Percent = 5.1478 Prediction Error = -2.314 Percent = 5.1478 Prediction Error = -2.399 Percent = 4.6789 Prediction Error = -2.399 Percent = 4.6789 Prediction Error = -2.442 Percent = 4.4546 Prediction Error = -2.442 Percent = 4.4546 Prediction Error = -2.485 Percent = 4.2371 Prediction Error = -2.485 Percent = 4.2371 Prediction Error = -2.528 Percent = 4.0266 Prediction Error = -2.528 Percent = 4.0266 Prediction Error = -2.57 Percent = 3.823 Prediction Error = -2.57 Percent = 3.823 Prediction Error = -2.613 Percent = 3.6264 Prediction Error = -2.613 Percent = 3.6264 Prediction Error = -2.656 Percent = 3.4367 Prediction Error = -2.656 Percent = 3.4367 Prediction Error = -2.698 Percent = 3.254 Prediction Error = -2.698 Percent = 3.254 Prediction Error = -2.741 Percent = 3.0782 Prediction Error = -2.741 Percent = 3.0782 Prediction Error = -2.784 Percent = 2.9091 Prediction Error = -2.784 Percent = 2.9091 Prediction Error = -2.826 Percent = 2.7469 Prediction Error = -2.826 Percent = 2.7469 Prediction Error = -2.869 Percent = 2.5913 Prediction Error = -2.869 Percent = 2.5913 Prediction Error = -2.912 Percent = 2.4423 Prediction Error = -2.912 Percent = 2.4423 Prediction Error = -2.954 Percent = 2.2997 Prediction Error = -2.954 Percent = 2.2997 Prediction Error = -2.997 Percent = 2.1635 Prediction Error = -2.997 Percent = 2.1635 Prediction Error = -3.04 Percent = 2.0334 Prediction Error = -3.04 Percent = 2.0334 Prediction Error = -3.082 Percent = 1.9095 Prediction Error = -3.082 Percent = 1.9095 Prediction Error = -3.125 Percent = 1.7914 Prediction Error = -3.125 Percent = 1.7914 Prediction Error = -3.168 Percent = 1.6791 Prediction Error = -3.168 Percent = 1.6791 Prediction Error = -3.21 Percent = 1.5724 Prediction Error = -3.21 Percent = 1.5724 Prediction Error = -3.253 Percent = 1.4711 Prediction Error = -3.253 Percent = 1.4711 Prediction Error = -3.296 Percent = 1.3751 Prediction Error = -3.296 Percent = 1.3751 Prediction Error = -3.339 Percent = 1.2842 Prediction Error = -3.339 Percent = 1.2842 Prediction Error = -3.381 Percent = 1.1982 Prediction Error = -3.381 Percent = 1.1982 Prediction Error = -3.424 Percent = 1.1169 Prediction Error = -3.424 Percent = 1.1169 Prediction Error = -3.467 Percent = 1.0402 Prediction Error = -3.467 Percent = 1.0402 Prediction Error = -3.509 Percent = 0.9678 Prediction Error = -3.509 Percent = 0.9678 Prediction Error = -3.552 Percent = 0.8997 Prediction Error = -3.552 Percent = 0.8997 Prediction Error = -3.595 Percent = 0.8356 Prediction Error = -3.595 Percent = 0.8356 Prediction Error = -3.637 Percent = 0.7753 Prediction Error = -3.637 Percent = 0.7753 Prediction Error = -3.68 Percent = 0.7188 Prediction Error = -3.68 Percent = 0.7188 Prediction Error = -3.723 Percent = 0.6657 Prediction Error = -3.723 Percent = 0.6657 Prediction Error = -3.765 Percent = 0.616 Prediction Error = -3.765 Percent = 0.616 Prediction Error = -3.808 Percent = 0.5695 Prediction Error = -3.808 Percent = 0.5695 Prediction Error = -3.851 Percent = 0.526 Prediction Error = -3.851 Percent = 0.526 Prediction Error = -3.893 Percent = 0.4854 Prediction Error = -3.893 Percent = 0.4854 Prediction Error = -3.936 Percent = 0.4475 Prediction Error = -3.936 Percent = 0.4475 Prediction Error = -3.979 Percent = 0.4122 Prediction Error = -3.979 Percent = 0.4122 Prediction Error = -4.022 Percent = 0.3793 Prediction Error = -4.022 Percent = 0.3793 Prediction Error = -4.064 Percent = 0.3488 Prediction Error = -4.064 Percent = 0.3488 Prediction Error = -4.107 Percent = 0.3204 Prediction Error = -4.107 Percent = 0.3204 Prediction Error = -4.15 Percent = 0.294 Prediction Error = -4.15 Percent = 0.294 Prediction Error = -4.192 Percent = 0.2696 Prediction Error = -4.192 Percent = 0.2696 Prediction Error = -4.235 Percent = 0.2469 Prediction Error = -4.235 Percent = 0.2469 Prediction Error = -4.278 Percent = 0.226 Prediction Error = -4.278 Percent = 0.226 Prediction Error = -4.32 Percent = 0.2066 Prediction Error = -4.32 Percent = 0.2066 Prediction Error = -4.363 Percent = 0.1888 Prediction Error = 3 Percent = 1.3393 Prediction Error = 3 Percent = 1.3393 Prediction Error = 2.4 Percent = 3.125 Prediction Error = 2.4 Percent = 3.125 Prediction Error = 1.8 Percent = 13.839 Prediction Error = 1.8 Percent = 13.839 Prediction Error = 1.2 Percent = 11.161 Prediction Error = 1.2 Percent = 11.161 Prediction Error = 0.6 Percent = 9.8214 Prediction Error = 0.6 Percent = 9.8214 Prediction Error = 0 Percent = 9.8214 Prediction Error = 0 Percent = 9.8214 Prediction Error = -0.6 Percent = 12.054 Prediction Error = -0.6 Percent = 12.054 Prediction Error = -1.2 Percent = 20.089 Prediction Error = -1.2 Percent = 20.089 Prediction Error = -1.8 Percent = 13.393 Prediction Error = -1.8 Percent = 13.393 Prediction Error = -2.4 Percent = 4.0179 Prediction Error = -2.4 Percent = 4.0179 Prediction Error = -3 Percent = 1.3393 Prediction Error = -3 Percent = 1.3393 Quantile = 2.7718 Residual = 3.0097 Quantile = 2.4448 Residual = 2.9991 Quantile = 2.2667 Residual = 2.767 Quantile = 2.1403 Residual = 2.5067 Quantile = 2.041 Residual = 2.5024 Quantile = 1.9585 Residual = 2.2831 Quantile = 1.8876 Residual = 2.2405 Quantile = 1.825 Residual = 2.2046 Quantile = 1.7688 Residual = 2.1616 Quantile = 1.7178 Residual = 2.1409 Quantile = 1.6708 Residual = 2.0624 Quantile = 1.6273 Residual = 2.0088 Quantile = 1.5866 Residual = 1.9597 Quantile = 1.5484 Residual = 1.9583 Quantile = 1.5124 Residual = 1.9392 Quantile = 1.4782 Residual = 1.9229 Quantile = 1.4457 Residual = 1.9213 Quantile = 1.4146 Residual = 1.9203 Quantile = 1.3848 Residual = 1.9016 Quantile = 1.3562 Residual = 1.8699 Quantile = 1.3287 Residual = 1.807 Quantile = 1.3022 Residual = 1.8055 Quantile = 1.2765 Residual = 1.7951 Quantile = 1.2516 Residual = 1.7937 Quantile = 1.2275 Residual = 1.7506 Quantile = 1.2041 Residual = 1.7326 Quantile = 1.1814 Residual = 1.7185 Quantile = 1.1592 Residual = 1.7154 Quantile = 1.1376 Residual = 1.7025 Quantile = 1.1165 Residual = 1.6775 Quantile = 1.0959 Residual = 1.6139 Quantile = 1.0757 Residual = 1.611 Quantile = 1.056 Residual = 1.5925 Quantile = 1.0367 Residual = 1.582 Quantile = 1.0177 Residual = 1.5578 Quantile = 0.9991 Residual = 1.5558 Quantile = 0.9809 Residual = 1.5549 Quantile = 0.963 Residual = 1.5219 Quantile = 0.9453 Residual = 1.514 Quantile = 0.928 Residual = 1.5049 Quantile = 0.911 Residual = 1.5036 Quantile = 0.8942 Residual = 1.4829 Quantile = 0.8776 Residual = 1.4677 Quantile = 0.8613 Residual = 1.448 Quantile = 0.8452 Residual = 1.4237 Quantile = 0.8293 Residual = 1.4187 Quantile = 0.8137 Residual = 1.4181 Quantile = 0.7982 Residual = 1.4153 Quantile = 0.7829 Residual = 1.3946 Quantile = 0.7678 Residual = 1.3843 Quantile = 0.7529 Residual = 1.2918 Quantile = 0.7381 Residual = 1.291 Quantile = 0.7235 Residual = 1.2442 Quantile = 0.7091 Residual = 1.2068 Quantile = 0.6948 Residual = 1.2009 Quantile = 0.6806 Residual = 1.144 Quantile = 0.6666 Residual = 1.0669 Quantile = 0.6527 Residual = 1.0594 Quantile = 0.639 Residual = 1.0557 Quantile = 0.6253 Residual = 1.0446 Quantile = 0.6118 Residual = 1.0276 Quantile = 0.5983 Residual = 1.0218 Quantile = 0.585 Residual = 1.0125 Quantile = 0.5718 Residual = 1.0018 Quantile = 0.5587 Residual = 1 Quantile = 0.5457 Residual = 0.9044 Quantile = 0.5328 Residual = 0.814 Quantile = 0.5199 Residual = 0.7762 Quantile = 0.5072 Residual = 0.7344 Quantile = 0.4945 Residual = 0.6976 Quantile = 0.4819 Residual = 0.6834 Quantile = 0.4694 Residual = 0.6569 Quantile = 0.4569 Residual = 0.6256 Quantile = 0.4446 Residual = 0.5741 Quantile = 0.4323 Residual = 0.5616 Quantile = 0.42 Residual = 0.5527 Quantile = 0.4078 Residual = 0.5477 Quantile = 0.3957 Residual = 0.5435 Quantile = 0.3837 Residual = 0.4957 Quantile = 0.3717 Residual = 0.4836 Quantile = 0.3597 Residual = 0.4723 Quantile = 0.3478 Residual = 0.465 Quantile = 0.336 Residual = 0.4156 Quantile = 0.3242 Residual = 0.3416 Quantile = 0.3124 Residual = 0.335 Quantile = 0.3007 Residual = 0.332 Quantile = 0.289 Residual = 0.3192 Quantile = 0.2774 Residual = 0.3103 Quantile = 0.2658 Residual = 0.2881 Quantile = 0.2542 Residual = 0.2396 Quantile = 0.2427 Residual = 0.2365 Quantile = 0.2312 Residual = 0.0649 Quantile = 0.2197 Residual = 0.0618 Quantile = 0.2083 Residual = 0.034 Quantile = 0.1969 Residual = 0.0097 Quantile = 0.1855 Residual = 0.0075 Quantile = 0.1741 Residual = 0.0059 Quantile = 0.1628 Residual = 0.0038 Quantile = 0.1515 Residual = -.0009 Quantile = 0.1402 Residual = -0.002 Quantile = 0.1289 Residual = -0.003 Quantile = 0.1176 Residual = -0.012 Quantile = 0.1064 Residual = -0.022 Quantile = 0.0952 Residual = -0.032 Quantile = 0.0839 Residual = -0.13 Quantile = 0.0727 Residual = -0.136 Quantile = 0.0615 Residual = -0.152 Quantile = 0.0503 Residual = -0.187 Quantile = 0.0391 Residual = -0.204 Quantile = 0.0279 Residual = -0.225 Quantile = 0.0168 Residual = -0.303 Quantile = 0.0056 Residual = -0.311 Quantile = -0.006 Residual = -0.331 Quantile = -0.017 Residual = -0.333 Quantile = -0.028 Residual = -0.336 Quantile = -0.039 Residual = -0.413 Quantile = -0.05 Residual = -0.465 Quantile = -0.062 Residual = -0.474 Quantile = -0.073 Residual = -0.49 Quantile = -0.084 Residual = -0.5 Quantile = -0.095 Residual = -0.513 Quantile = -0.106 Residual = -0.553 Quantile = -0.118 Residual = -0.566 Quantile = -0.129 Residual = -0.586 Quantile = -0.14 Residual = -0.587 Quantile = -0.151 Residual = -0.594 Quantile = -0.163 Residual = -0.613 Quantile = -0.174 Residual = -0.614 Quantile = -0.185 Residual = -0.653 Quantile = -0.197 Residual = -0.678 Quantile = -0.208 Residual = -0.725 Quantile = -0.22 Residual = -0.759 Quantile = -0.231 Residual = -0.768 Quantile = -0.243 Residual = -0.792 Quantile = -0.254 Residual = -0.803 Quantile = -0.266 Residual = -0.831 Quantile = -0.277 Residual = -0.86 Quantile = -0.289 Residual = -0.905 Quantile = -0.301 Residual = -0.908 Quantile = -0.312 Residual = -0.922 Quantile = -0.324 Residual = -0.946 Quantile = -0.336 Residual = -0.951 Quantile = -0.348 Residual = -0.967 Quantile = -0.36 Residual = -0.979 Quantile = -0.372 Residual = -0.984 Quantile = -0.384 Residual = -0.985 Quantile = -0.396 Residual = -0.989 Quantile = -0.408 Residual = -0.997 Quantile = -0.42 Residual = -1 Quantile = -0.432 Residual = -1.001 Quantile = -0.445 Residual = -1.004 Quantile = -0.457 Residual = -1.021 Quantile = -0.469 Residual = -1.072 Quantile = -0.482 Residual = -1.092 Quantile = -0.494 Residual = -1.107 Quantile = -0.507 Residual = -1.133 Quantile = -0.52 Residual = -1.136 Quantile = -0.533 Residual = -1.176 Quantile = -0.546 Residual = -1.22 Quantile = -0.559 Residual = -1.22 Quantile = -0.572 Residual = -1.24 Quantile = -0.585 Residual = -1.248 Quantile = -0.598 Residual = -1.248 Quantile = -0.612 Residual = -1.259 Quantile = -0.625 Residual = -1.263 Quantile = -0.639 Residual = -1.312 Quantile = -0.653 Residual = -1.326 Quantile = -0.667 Residual = -1.332 Quantile = -0.681 Residual = -1.336 Quantile = -0.695 Residual = -1.353 Quantile = -0.709 Residual = -1.381 Quantile = -0.724 Residual = -1.397 Quantile = -0.738 Residual = -1.411 Quantile = -0.753 Residual = -1.418 Quantile = -0.768 Residual = -1.431 Quantile = -0.783 Residual = -1.439 Quantile = -0.798 Residual = -1.439 Quantile = -0.814 Residual = -1.464 Quantile = -0.829 Residual = -1.468 Quantile = -0.845 Residual = -1.48 Quantile = -0.861 Residual = -1.486 Quantile = -0.878 Residual = -1.494 Quantile = -0.894 Residual = -1.511 Quantile = -0.911 Residual = -1.53 Quantile = -0.928 Residual = -1.533 Quantile = -0.945 Residual = -1.558 Quantile = -0.963 Residual = -1.57 Quantile = -0.981 Residual = -1.571 Quantile = -0.999 Residual = -1.592 Quantile = -1.018 Residual = -1.615 Quantile = -1.037 Residual = -1.65 Quantile = -1.056 Residual = -1.662 Quantile = -1.076 Residual = -1.665 Quantile = -1.096 Residual = -1.682 Quantile = -1.116 Residual = -1.684 Quantile = -1.138 Residual = -1.692 Quantile = -1.159 Residual = -1.696 Quantile = -1.181 Residual = -1.699 Quantile = -1.204 Residual = -1.707 Quantile = -1.228 Residual = -1.714 Quantile = -1.252 Residual = -1.728 Quantile = -1.276 Residual = -1.762 Quantile = -1.302 Residual = -1.772 Quantile = -1.329 Residual = -1.843 Quantile = -1.356 Residual = -1.85 Quantile = -1.385 Residual = -1.988 Quantile = -1.415 Residual = -1.993 Quantile = -1.446 Residual = -1.996 Quantile = -1.478 Residual = -1.999 Quantile = -1.512 Residual = -2.003 Quantile = -1.548 Residual = -2.011 Quantile = -1.587 Residual = -2.021 Quantile = -1.627 Residual = -2.118 Quantile = -1.671 Residual = -2.123 Quantile = -1.718 Residual = -2.146 Quantile = -1.769 Residual = -2.216 Quantile = -1.825 Residual = -2.295 Quantile = -1.888 Residual = -2.301 Quantile = -1.959 Residual = -2.396 Quantile = -2.041 Residual = -2.64 Quantile = -2.14 Residual = -2.653 Quantile = -2.267 Residual = -3 Quantile = -2.445 Residual = -3.011 Quantile = -2.772 Residual = -3.018 Slope = 1.4086 Y = -0.137 Lag = 24 ACF = -0.003 Lag = 23 ACF = -0.06 Lag = 22 ACF = 0.0149 Lag = 21 ACF = -0.141 Lag = 20 ACF = 0.0739 Lag = 19 ACF = -0.13 Lag = 18 ACF = -0.065 Lag = 17 ACF = 0.1386 Lag = 16 ACF = 0.1786 Lag = 15 ACF = 0.0319 Lag = 14 ACF = -0.099 Lag = 13 ACF = 0.0106 Lag = 12 ACF = -0.072 Lag = 11 ACF = -0.123 Lag = 10 ACF = 0.0773 Lag = 9 ACF = -0.05 Lag = 8 ACF = -0.017 Lag = 7 ACF = 0.0544 Lag = 6 ACF = -0.007 Lag = 5 ACF = -0.126 Lag = 4 ACF = -0.081 Lag = 3 ACF = -0.174 Lag = 2 ACF = 0.0208 Lag = 1 ACF = 0.0859 Lag = 0 ACF = 1 Lag = 24 Lower = -0.159 Upper = 0.1587 Lag = 23 Lower = -0.158 Upper = 0.1583 Lag = 23 Lower = -0.158 Upper = 0.1583 Lag = 22 Lower = -0.158 Upper = 0.1583 Lag = 22 Lower = -0.158 Upper = 0.1583 Lag = 21 Lower = -0.156 Upper = 0.156 Lag = 21 Lower = -0.156 Upper = 0.156 Lag = 20 Lower = -0.155 Upper = 0.1554 Lag = 20 Lower = -0.155 Upper = 0.1554 Lag = 19 Lower = -0.153 Upper = 0.1534 Lag = 19 Lower = -0.153 Upper = 0.1534 Lag = 18 Lower = -0.153 Upper = 0.1529 Lag = 18 Lower = -0.153 Upper = 0.1529 Lag = 17 Lower = -0.151 Upper = 0.1506 Lag = 17 Lower = -0.151 Upper = 0.1506 Lag = 16 Lower = -0.147 Upper = 0.1468 Lag = 16 Lower = -0.147 Upper = 0.1468 Lag = 15 Lower = -0.147 Upper = 0.1467 Lag = 15 Lower = -0.147 Upper = 0.1467 Lag = 14 Lower = -0.146 Upper = 0.1455 Lag = 14 Lower = -0.146 Upper = 0.1455 Lag = 13 Lower = -0.145 Upper = 0.1455 Lag = 13 Lower = -0.145 Upper = 0.1455 Lag = 12 Lower = -0.145 Upper = 0.1449 Lag = 12 Lower = -0.145 Upper = 0.1449 Lag = 11 Lower = -0.143 Upper = 0.143 Lag = 11 Lower = -0.143 Upper = 0.143 Lag = 10 Lower = -0.142 Upper = 0.1422 Lag = 10 Lower = -0.142 Upper = 0.1422 Lag = 9 Lower = -0.142 Upper = 0.1419 Lag = 9 Lower = -0.142 Upper = 0.1419 Lag = 8 Lower = -0.142 Upper = 0.1419 Lag = 8 Lower = -0.142 Upper = 0.1419 Lag = 7 Lower = -0.142 Upper = 0.1415 Lag = 7 Lower = -0.142 Upper = 0.1415 Lag = 6 Lower = -0.142 Upper = 0.1415 Lag = 6 Lower = -0.142 Upper = 0.1415 Lag = 5 Lower = -0.139 Upper = 0.1395 Lag = 5 Lower = -0.139 Upper = 0.1395 Lag = 4 Lower = -0.139 Upper = 0.1386 Lag = 4 Lower = -0.139 Upper = 0.1386 Lag = 3 Lower = -0.135 Upper = 0.1347 Lag = 3 Lower = -0.135 Upper = 0.1347 Lag = 2 Lower = -0.135 Upper = 0.1346 Lag = 2 Lower = -0.135 Upper = 0.1346 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = -0.02 Lag = 23 PACF = -0.104 Lag = 22 PACF = -0.01 Lag = 21 PACF = -0.117 Lag = 20 PACF = 0.1206 Lag = 19 PACF = -0.083 Lag = 18 PACF = -0.076 Lag = 17 PACF = 0.0154 Lag = 16 PACF = 0.1806 Lag = 15 PACF = 0.0381 Lag = 14 PACF = -0.177 Lag = 13 PACF = 0.0459 Lag = 12 PACF = -0.075 Lag = 11 PACF = -0.157 Lag = 10 PACF = 0.0935 Lag = 9 PACF = -0.068 Lag = 8 PACF = -0.072 Lag = 7 PACF = 0.0402 Lag = 6 PACF = -0.017 Lag = 5 PACF = -0.111 Lag = 4 PACF = -0.054 Lag = 3 PACF = -0.179 Lag = 2 PACF = 0.0135 Lag = 1 PACF = 0.0859 Lag = 24 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Sep2019 Loess Fit = -0.232 Date_of_death = Jul2019 Loess Fit = -0.231 Date_of_death = Jul2019 Loess Fit = -0.231 Date_of_death = Jun2019 Loess Fit = -0.23 Date_of_death = Jun2019 Loess Fit = -0.23 Date_of_death = May2019 Loess Fit = -0.228 Date_of_death = May2019 Loess Fit = -0.228 Date_of_death = Apr2019 Loess Fit = -0.227 Date_of_death = Apr2019 Loess Fit = -0.227 Date_of_death = Mar2019 Loess Fit = -0.226 Date_of_death = Mar2019 Loess Fit = -0.226 Date_of_death = Feb2019 Loess Fit = -0.225 Date_of_death = Feb2019 Loess Fit = -0.225 Date_of_death = Jan2019 Loess Fit = -0.223 Date_of_death = Jan2019 Loess Fit = -0.223 Date_of_death = Dec2018 Loess Fit = -0.222 Date_of_death = Dec2018 Loess Fit = -0.222 Date_of_death = Oct2018 Loess Fit = -0.221 Date_of_death = Oct2018 Loess Fit = -0.221 Date_of_death = Sep2018 Loess Fit = -0.219 Date_of_death = Sep2018 Loess Fit = -0.219 Date_of_death = Aug2018 Loess Fit = -0.218 Date_of_death = Aug2018 Loess Fit = -0.218 Date_of_death = Jul2018 Loess Fit = -0.217 Date_of_death = Jul2018 Loess Fit = -0.217 Date_of_death = Jun2018 Loess Fit = -0.216 Date_of_death = Jun2018 Loess Fit = -0.216 Date_of_death = May2018 Loess Fit = -0.214 Date_of_death = May2018 Loess Fit = -0.214 Date_of_death = Apr2018 Loess Fit = -0.213 Date_of_death = Apr2018 Loess Fit = -0.213 Date_of_death = Mar2018 Loess Fit = -0.212 Date_of_death = Mar2018 Loess Fit = -0.212 Date_of_death = Feb2018 Loess Fit = -0.21 Date_of_death = Feb2018 Loess Fit = -0.21 Date_of_death = Dec2017 Loess Fit = -0.209 Date_of_death = Dec2017 Loess Fit = -0.209 Date_of_death = Nov2017 Loess Fit = -0.208 Date_of_death = Nov2017 Loess Fit = -0.208 Date_of_death = Oct2017 Loess Fit = -0.207 Date_of_death = Oct2017 Loess Fit = -0.207 Date_of_death = Sep2017 Loess Fit = -0.205 Date_of_death = Sep2017 Loess Fit = -0.205 Date_of_death = Aug2017 Loess Fit = -0.204 Date_of_death = Aug2017 Loess Fit = -0.204 Date_of_death = Jul2017 Loess Fit = -0.203 Date_of_death = Jul2017 Loess Fit = -0.203 Date_of_death = Jun2017 Loess Fit = -0.201 Date_of_death = Jun2017 Loess Fit = -0.201 Date_of_death = May2017 Loess Fit = -0.2 Date_of_death = May2017 Loess Fit = -0.2 Date_of_death = Apr2017 Loess Fit = -0.199 Date_of_death = Apr2017 Loess Fit = -0.199 Date_of_death = Feb2017 Loess Fit = -0.198 Date_of_death = Feb2017 Loess Fit = -0.198 Date_of_death = Jan2017 Loess Fit = -0.197 Date_of_death = Jan2017 Loess Fit = -0.197 Date_of_death = Dec2016 Loess Fit = -0.196 Date_of_death = Dec2016 Loess Fit = -0.196 Date_of_death = Nov2016 Loess Fit = -0.194 Date_of_death = Nov2016 Loess Fit = -0.194 Date_of_death = Oct2016 Loess Fit = -0.193 Date_of_death = Oct2016 Loess Fit = -0.193 Date_of_death = Sep2016 Loess Fit = -0.192 Date_of_death = Sep2016 Loess Fit = -0.192 Date_of_death = Aug2016 Loess Fit = -0.191 Date_of_death = Aug2016 Loess Fit = -0.191 Date_of_death = Jul2016 Loess Fit = -0.19 Date_of_death = Jul2016 Loess Fit = -0.19 Date_of_death = May2016 Loess Fit = -0.189 Date_of_death = May2016 Loess Fit = -0.189 Date_of_death = Apr2016 Loess Fit = -0.188 Date_of_death = Apr2016 Loess Fit = -0.188 Date_of_death = Mar2016 Loess Fit = -0.187 Date_of_death = Mar2016 Loess Fit = -0.187 Date_of_death = Feb2016 Loess Fit = -0.185 Date_of_death = Feb2016 Loess Fit = -0.185 Date_of_death = Jan2016 Loess Fit = -0.184 Date_of_death = Jan2016 Loess Fit = -0.184 Date_of_death = Dec2015 Loess Fit = -0.183 Date_of_death = Dec2015 Loess Fit = -0.183 Date_of_death = Nov2015 Loess Fit = -0.182 Date_of_death = Nov2015 Loess Fit = -0.182 Date_of_death = Oct2015 Loess Fit = -0.181 Date_of_death = Oct2015 Loess Fit = -0.181 Date_of_death = Sep2015 Loess Fit = -0.18 Date_of_death = Sep2015 Loess Fit = -0.18 Date_of_death = Jul2015 Loess Fit = -0.179 Date_of_death = Jul2015 Loess Fit = -0.179 Date_of_death = Jun2015 Loess Fit = -0.177 Date_of_death = Jun2015 Loess Fit = -0.177 Date_of_death = May2015 Loess Fit = -0.176 Date_of_death = May2015 Loess Fit = -0.176 Date_of_death = Apr2015 Loess Fit = -0.175 Date_of_death = Apr2015 Loess Fit = -0.175 Date_of_death = Mar2015 Loess Fit = -0.174 Date_of_death = Mar2015 Loess Fit = -0.174 Date_of_death = Feb2015 Loess Fit = -0.173 Date_of_death = Feb2015 Loess Fit = -0.173 Date_of_death = Jan2015 Loess Fit = -0.172 Date_of_death = Jan2015 Loess Fit = -0.172 Date_of_death = Dec2014 Loess Fit = -0.171 Date_of_death = Dec2014 Loess Fit = -0.171 Date_of_death = Nov2014 Loess Fit = -0.169 Date_of_death = Nov2014 Loess Fit = -0.169 Date_of_death = Sep2014 Loess Fit = -0.168 Date_of_death = Sep2014 Loess Fit = -0.168 Date_of_death = Aug2014 Loess Fit = -0.167 Date_of_death = Aug2014 Loess Fit = -0.167 Date_of_death = Jul2014 Loess Fit = -0.165 Date_of_death = Jul2014 Loess Fit = -0.165 Date_of_death = Jun2014 Loess Fit = -0.164 Date_of_death = Jun2014 Loess Fit = -0.164 Date_of_death = May2014 Loess Fit = -0.163 Date_of_death = May2014 Loess Fit = -0.163 Date_of_death = Apr2014 Loess Fit = -0.161 Date_of_death = Apr2014 Loess Fit = -0.161 Date_of_death = Mar2014 Loess Fit = -0.16 Date_of_death = Mar2014 Loess Fit = -0.16 Date_of_death = Feb2014 Loess Fit = -0.159 Date_of_death = Feb2014 Loess Fit = -0.159 Date_of_death = Dec2013 Loess Fit = -0.157 Date_of_death = Dec2013 Loess Fit = -0.157 Date_of_death = Nov2013 Loess Fit = -0.156 Date_of_death = Nov2013 Loess Fit = -0.156 Date_of_death = Oct2013 Loess Fit = -0.155 Date_of_death = Oct2013 Loess Fit = -0.155 Date_of_death = Sep2013 Loess Fit = -0.154 Date_of_death = Sep2013 Loess Fit = -0.154 Date_of_death = Aug2013 Loess Fit = -0.152 Date_of_death = Aug2013 Loess Fit = -0.152 Date_of_death = Jul2013 Loess Fit = -0.151 Date_of_death = Jul2013 Loess Fit = -0.151 Date_of_death = Jun2013 Loess Fit = -0.15 Date_of_death = Jun2013 Loess Fit = -0.15 Date_of_death = May2013 Loess Fit = -0.148 Date_of_death = May2013 Loess Fit = -0.148 Date_of_death = Apr2013 Loess Fit = -0.147 Date_of_death = Apr2013 Loess Fit = -0.147 Date_of_death = Feb2013 Loess Fit = -0.146 Date_of_death = Feb2013 Loess Fit = -0.146 Date_of_death = Jan2013 Loess Fit = -0.144 Date_of_death = Jan2013 Loess Fit = -0.144 Date_of_death = Dec2012 Loess Fit = -0.143 Date_of_death = Dec2012 Loess Fit = -0.143 Date_of_death = Nov2012 Loess Fit = -0.142 Date_of_death = Nov2012 Loess Fit = -0.142 Date_of_death = Oct2012 Loess Fit = -0.14 Date_of_death = Oct2012 Loess Fit = -0.14 Date_of_death = Sep2012 Loess Fit = -0.139 Date_of_death = Sep2012 Loess Fit = -0.139 Date_of_death = Aug2012 Loess Fit = -0.138 Date_of_death = Aug2012 Loess Fit = -0.138 Date_of_death = Jul2012 Loess Fit = -0.137 Date_of_death = Jul2012 Loess Fit = -0.137 Date_of_death = Jun2012 Loess Fit = -0.137 Date_of_death = Jun2012 Loess Fit = -0.137 Date_of_death = Apr2012 Loess Fit = -0.136 Date_of_death = Apr2012 Loess Fit = -0.136 Date_of_death = Mar2012 Loess Fit = -0.135 Date_of_death = Mar2012 Loess Fit = -0.135 Date_of_death = Feb2012 Loess Fit = -0.135 Date_of_death = Feb2012 Loess Fit = -0.135 Date_of_death = Jan2012 Loess Fit = -0.134 Date_of_death = Jan2012 Loess Fit = -0.134 Date_of_death = Dec2011 Loess Fit = -0.133 Date_of_death = Dec2011 Loess Fit = -0.133 Date_of_death = Nov2011 Loess Fit = -0.132 Date_of_death = Nov2011 Loess Fit = -0.132 Date_of_death = Oct2011 Loess Fit = -0.132 Date_of_death = Oct2011 Loess Fit = -0.132 Date_of_death = Sep2011 Loess Fit = -0.131 Date_of_death = Sep2011 Loess Fit = -0.131 Date_of_death = Aug2011 Loess Fit = -0.13 Date_of_death = Aug2011 Loess Fit = -0.13 Date_of_death = Jun2011 Loess Fit = -0.13 Date_of_death = Jun2011 Loess Fit = -0.13 Date_of_death = May2011 Loess Fit = -0.129 Date_of_death = May2011 Loess Fit = -0.129 Date_of_death = Apr2011 Loess Fit = -0.128 Date_of_death = Apr2011 Loess Fit = -0.128 Date_of_death = Mar2011 Loess Fit = -0.127 Date_of_death = Mar2011 Loess Fit = -0.127 Date_of_death = Feb2011 Loess Fit = -0.127 Date_of_death = Feb2011 Loess Fit = -0.127 Date_of_death = Jan2011 Loess Fit = -0.126 Date_of_death = Jan2011 Loess Fit = -0.126 Date_of_death = Dec2010 Loess Fit = -0.125 Date_of_death = Dec2010 Loess Fit = -0.125 Date_of_death = Nov2010 Loess Fit = -0.125 Date_of_death = Nov2010 Loess Fit = -0.125 Date_of_death = Sep2010 Loess Fit = -0.124 Date_of_death = Sep2010 Loess Fit = -0.124 Date_of_death = Aug2010 Loess Fit = -0.123 Date_of_death = Aug2010 Loess Fit = -0.123 Date_of_death = Jul2010 Loess Fit = -0.122 Date_of_death = Jul2010 Loess Fit = -0.122 Date_of_death = Jun2010 Loess Fit = -0.122 Date_of_death = Jun2010 Loess Fit = -0.122 Date_of_death = May2010 Loess Fit = -0.121 Date_of_death = May2010 Loess Fit = -0.121 Date_of_death = Apr2010 Loess Fit = -0.121 Date_of_death = Apr2010 Loess Fit = -0.121 Date_of_death = Mar2010 Loess Fit = -0.121 Date_of_death = Mar2010 Loess Fit = -0.121 Date_of_death = Feb2010 Loess Fit = -0.12 Date_of_death = Feb2010 Loess Fit = -0.12 Date_of_death = Jan2010 Loess Fit = -0.12 Date_of_death = Jan2010 Loess Fit = -0.12 Date_of_death = Nov2009 Loess Fit = -0.12 Date_of_death = Nov2009 Loess Fit = -0.12 Date_of_death = Oct2009 Loess Fit = -0.12 Date_of_death = Oct2009 Loess Fit = -0.12 Date_of_death = Sep2009 Loess Fit = -0.12 Date_of_death = Sep2009 Loess Fit = -0.12 Date_of_death = Aug2009 Loess Fit = -0.12 Date_of_death = Aug2009 Loess Fit = -0.12 Date_of_death = Jul2009 Loess Fit = -0.12 Date_of_death = Jul2009 Loess Fit = -0.12 Date_of_death = Jun2009 Loess Fit = -0.12 Date_of_death = Jun2009 Loess Fit = -0.12 Date_of_death = May2009 Loess Fit = -0.12 Date_of_death = May2009 Loess Fit = -0.12 Date_of_death = Apr2009 Loess Fit = -0.12 Date_of_death = Apr2009 Loess Fit = -0.12 Date_of_death = Mar2009 Loess Fit = -0.12 Date_of_death = Mar2009 Loess Fit = -0.12 Date_of_death = Jan2009 Loess Fit = -0.119 Date_of_death = Jan2009 Loess Fit = -0.119 Date_of_death = Dec2008 Loess Fit = -0.119 Date_of_death = Dec2008 Loess Fit = -0.119 Date_of_death = Nov2008 Loess Fit = -0.119 Date_of_death = Nov2008 Loess Fit = -0.119 Date_of_death = Oct2008 Loess Fit = -0.119 Date_of_death = Oct2008 Loess Fit = -0.119 Date_of_death = Sep2008 Loess Fit = -0.119 Date_of_death = Sep2008 Loess Fit = -0.119 Date_of_death = Aug2008 Loess Fit = -0.119 Date_of_death = Aug2008 Loess Fit = -0.119 Date_of_death = Jul2008 Loess Fit = -0.119 Date_of_death = Jul2008 Loess Fit = -0.119 Date_of_death = Jun2008 Loess Fit = -0.119 Date_of_death = Jun2008 Loess Fit = -0.119 Date_of_death = May2008 Loess Fit = -0.119 Date_of_death = May2008 Loess Fit = -0.119 Date_of_death = Mar2008 Loess Fit = -0.119 Date_of_death = Mar2008 Loess Fit = -0.119 Date_of_death = Feb2008 Loess Fit = -0.119 Date_of_death = Feb2008 Loess Fit = -0.119 Date_of_death = Jan2008 Loess Fit = -0.118 Date_of_death = Jan2008 Loess Fit = -0.118 Date_of_death = Dec2007 Loess Fit = -0.118 Date_of_death = Dec2007 Loess Fit = -0.118 Date_of_death = Nov2007 Loess Fit = -0.118 Date_of_death = Nov2007 Loess Fit = -0.118 Date_of_death = Oct2007 Loess Fit = -0.118 Date_of_death = Oct2007 Loess Fit = -0.118 Date_of_death = Sep2007 Loess Fit = -0.118 Date_of_death = Sep2007 Loess Fit = -0.118 Date_of_death = Aug2007 Loess Fit = -0.117 Date_of_death = Aug2007 Loess Fit = -0.117 Date_of_death = Jul2007 Loess Fit = -0.117 Date_of_death = Jul2007 Loess Fit = -0.117 Date_of_death = May2007 Loess Fit = -0.117 Date_of_death = May2007 Loess Fit = -0.117 Date_of_death = Apr2007 Loess Fit = -0.117 Date_of_death = Apr2007 Loess Fit = -0.117 Date_of_death = Mar2007 Loess Fit = -0.116 Date_of_death = Mar2007 Loess Fit = -0.116 Date_of_death = Feb2007 Loess Fit = -0.116 Date_of_death = Feb2007 Loess Fit = -0.116 Date_of_death = Jan2007 Loess Fit = -0.116 Date_of_death = Jan2007 Loess Fit = -0.116 Date_of_death = Dec2006 Loess Fit = -0.116 Date_of_death = Dec2006 Loess Fit = -0.116 Date_of_death = Nov2006 Loess Fit = -0.115 Date_of_death = Nov2006 Loess Fit = -0.115 Date_of_death = Oct2006 Loess Fit = -0.115 Date_of_death = Oct2006 Loess Fit = -0.115 Date_of_death = Aug2006 Loess Fit = -0.115 Date_of_death = Aug2006 Loess Fit = -0.115 Date_of_death = Jul2006 Loess Fit = -0.115 Date_of_death = Jul2006 Loess Fit = -0.115 Date_of_death = Jun2006 Loess Fit = -0.114 Date_of_death = Jun2006 Loess Fit = -0.114 Date_of_death = May2006 Loess Fit = -0.114 Date_of_death = May2006 Loess Fit = -0.114 Date_of_death = Apr2006 Loess Fit = -0.114 Date_of_death = Apr2006 Loess Fit = -0.114 Date_of_death = Mar2006 Loess Fit = -0.114 Date_of_death = Mar2006 Loess Fit = -0.114 Date_of_death = Feb2006 Loess Fit = -0.113 Date_of_death = Feb2006 Loess Fit = -0.113 Date_of_death = Jan2006 Loess Fit = -0.113 Date_of_death = Jan2006 Loess Fit = -0.113 Date_of_death = Dec2005 Loess Fit = -0.113 Date_of_death = Dec2005 Loess Fit = -0.113 Date_of_death = Oct2005 Loess Fit = -0.113 Date_of_death = Oct2005 Loess Fit = -0.113 Date_of_death = Sep2005 Loess Fit = -0.112 Date_of_death = Sep2005 Loess Fit = -0.112 Date_of_death = Aug2005 Loess Fit = -0.112 Date_of_death = Aug2005 Loess Fit = -0.112 Date_of_death = Jul2005 Loess Fit = -0.111 Date_of_death = Jul2005 Loess Fit = -0.111 Date_of_death = Jun2005 Loess Fit = -0.111 Date_of_death = Jun2005 Loess Fit = -0.111 Date_of_death = May2005 Loess Fit = -0.11 Date_of_death = May2005 Loess Fit = -0.11 Date_of_death = Apr2005 Loess Fit = -0.11 Date_of_death = Apr2005 Loess Fit = -0.11 Date_of_death = Mar2005 Loess Fit = -0.109 Date_of_death = Mar2005 Loess Fit = -0.109 Date_of_death = Jan2005 Loess Fit = -0.109 Date_of_death = Jan2005 Loess Fit = -0.109 Date_of_death = Dec2004 Loess Fit = -0.108 Date_of_death = Dec2004 Loess Fit = -0.108 Date_of_death = Nov2004 Loess Fit = -0.108 Date_of_death = Nov2004 Loess Fit = -0.108 Date_of_death = Oct2004 Loess Fit = -0.107 Date_of_death = Oct2004 Loess Fit = -0.107 Date_of_death = Sep2004 Loess Fit = -0.107 Date_of_death = Sep2004 Loess Fit = -0.107 Date_of_death = Aug2004 Loess Fit = -0.106 Date_of_death = Aug2004 Loess Fit = -0.106 Date_of_death = Jul2004 Loess Fit = -0.106 Date_of_death = Jul2004 Loess Fit = -0.106 Date_of_death = Jun2004 Loess Fit = -0.105 Date_of_death = Jun2004 Loess Fit = -0.105 Date_of_death = May2004 Loess Fit = -0.104 Date_of_death = May2004 Loess Fit = -0.104 Date_of_death = Mar2004 Loess Fit = -0.104 Date_of_death = Mar2004 Loess Fit = -0.104 Date_of_death = Feb2004 Loess Fit = -0.103 Date_of_death = Feb2004 Loess Fit = -0.103 Date_of_death = Jan2004 Loess Fit = -0.103 Date_of_death = Jan2004 Loess Fit = -0.103 Date_of_death = Dec2003 Loess Fit = -0.102 Date_of_death = Dec2003 Loess Fit = -0.102 Date_of_death = Nov2003 Loess Fit = -0.102 Date_of_death = Nov2003 Loess Fit = -0.102 Date_of_death = Oct2003 Loess Fit = -0.101 Date_of_death = Oct2003 Loess Fit = -0.101 Date_of_death = Sep2003 Loess Fit = -0.101 Date_of_death = Sep2003 Loess Fit = -0.101 Date_of_death = Aug2003 Loess Fit = -0.1 Date_of_death = Aug2003 Loess Fit = -0.1 Date_of_death = Jul2003 Loess Fit = -0.1 Date_of_death = Jul2003 Loess Fit = -0.1 Date_of_death = May2003 Loess Fit = -0.099 Date_of_death = May2003 Loess Fit = -0.099 Date_of_death = Apr2003 Loess Fit = -0.099 Date_of_death = Apr2003 Loess Fit = -0.099 Date_of_death = Mar2003 Loess Fit = -0.098 Date_of_death = Mar2003 Loess Fit = -0.098 Date_of_death = Feb2003 Loess Fit = -0.097 Date_of_death = Feb2003 Loess Fit = -0.097 Date_of_death = Jan2003 Loess Fit = -0.096 Date_of_death = Jan2003 Loess Fit = -0.096 Date_of_death = Dec2002 Loess Fit = -0.096 Date_of_death = Dec2002 Loess Fit = -0.096 Date_of_death = Nov2002 Loess Fit = -0.095 Date_of_death = Nov2002 Loess Fit = -0.095 Date_of_death = Oct2002 Loess Fit = -0.094 Date_of_death = Oct2002 Loess Fit = -0.094 Date_of_death = Aug2002 Loess Fit = -0.094 Date_of_death = Aug2002 Loess Fit = -0.094 Date_of_death = Jul2002 Loess Fit = -0.093 Date_of_death = Jul2002 Loess Fit = -0.093 Date_of_death = Jun2002 Loess Fit = -0.092 Date_of_death = Jun2002 Loess Fit = -0.092 Date_of_death = May2002 Loess Fit = -0.091 Date_of_death = May2002 Loess Fit = -0.091 Date_of_death = Apr2002 Loess Fit = -0.091 Date_of_death = Apr2002 Loess Fit = -0.091 Date_of_death = Mar2002 Loess Fit = -0.09 Date_of_death = Mar2002 Loess Fit = -0.09 Date_of_death = Feb2002 Loess Fit = -0.089 Date_of_death = Feb2002 Loess Fit = -0.089 Date_of_death = Jan2002 Loess Fit = -0.088 Date_of_death = Jan2002 Loess Fit = -0.088 Date_of_death = Dec2001 Loess Fit = -0.088 Date_of_death = Dec2001 Loess Fit = -0.088 Date_of_death = Oct2001 Loess Fit = -0.087 Date_of_death = Oct2001 Loess Fit = -0.087 Date_of_death = Sep2001 Loess Fit = -0.086 Date_of_death = Sep2001 Loess Fit = -0.086 Date_of_death = Aug2001 Loess Fit = -0.086 Date_of_death = Aug2001 Loess Fit = -0.086 Date_of_death = Jul2001 Loess Fit = -0.085 Date_of_death = Jul2001 Loess Fit = -0.085 Date_of_death = Jun2001 Loess Fit = -0.084 Date_of_death = Jun2001 Loess Fit = -0.084 Date_of_death = May2001 Loess Fit = -0.083 Date_of_death = May2001 Loess Fit = -0.083 Date_of_death = Apr2001 Loess Fit = -0.083 Date_of_death = Apr2001 Loess Fit = -0.083 Date_of_death = Mar2001 Loess Fit = -0.082 Date_of_death = Mar2001 Loess Fit = -0.082 Date_of_death = Feb2001 Loess Fit = -0.081 Date_of_death = Sep2019 Prediction Error = -1.001 Date_of_death = Aug2019 Prediction Error = -1.072 Date_of_death = Jul2019 Prediction Error = -1.092 Date_of_death = Jun2019 Prediction Error = -0.413 Date_of_death = May2019 Prediction Error = -1.332 Date_of_death = Apr2019 Prediction Error = -1.411 Date_of_death = Mar2019 Prediction Error = 0.4957 Date_of_death = Feb2019 Prediction Error = 0.5616 Date_of_death = Jan2019 Prediction Error = 0.2396 Date_of_death = Dec2018 Prediction Error = -1.397 Date_of_death = Nov2018 Prediction Error = -1.762 Date_of_death = Oct2018 Prediction Error = 0.6976 Date_of_death = Sep2018 Prediction Error = -0.136 Date_of_death = Aug2018 Prediction Error = 1.9597 Date_of_death = Jul2018 Prediction Error = -0.152 Date_of_death = Jun2018 Prediction Error = -1.57 Date_of_death = May2018 Prediction Error = -1.486 Date_of_death = Apr2018 Prediction Error = -1.571 Date_of_death = Mar2018 Prediction Error = -1.714 Date_of_death = Feb2018 Prediction Error = -0.614 Date_of_death = Jan2018 Prediction Error = -0.979 Date_of_death = Dec2017 Prediction Error = 1.582 Date_of_death = Nov2017 Prediction Error = -0.905 Date_of_death = Oct2017 Prediction Error = 1.7185 Date_of_death = Sep2017 Prediction Error = -0.225 Date_of_death = Aug2017 Prediction Error = -1.248 Date_of_death = Jul2017 Prediction Error = -0.311 Date_of_death = Jun2017 Prediction Error = 1.4237 Date_of_death = May2017 Prediction Error = -0.586 Date_of_death = Apr2017 Prediction Error = 1.5036 Date_of_death = Mar2017 Prediction Error = 1.4153 Date_of_death = Feb2017 Prediction Error = -0.594 Date_of_death = Jan2017 Prediction Error = -0.984 Date_of_death = Dec2016 Prediction Error = -1.511 Date_of_death = Nov2016 Prediction Error = 1.2009 Date_of_death = Oct2016 Prediction Error = -0.303 Date_of_death = Sep2016 Prediction Error = 1.9229 Date_of_death = Aug2016 Prediction Error = -0.204 Date_of_death = Jul2016 Prediction Error = -1.353 Date_of_death = Jun2016 Prediction Error = -1.696 Date_of_death = May2016 Prediction Error = -1.728 Date_of_death = Apr2016 Prediction Error = -0.613 Date_of_death = Mar2016 Prediction Error = 0.332 Date_of_death = Feb2016 Prediction Error = 2.5067 Date_of_death = Jan2016 Prediction Error = 2.1616 Date_of_death = Dec2015 Prediction Error = -0.513 Date_of_death = Nov2015 Prediction Error = -0.86 Date_of_death = Oct2015 Prediction Error = -1.418 Date_of_death = Sep2015 Prediction Error = -1.24 Date_of_death = Aug2015 Prediction Error = 0.7762 Date_of_death = Jul2015 Prediction Error = 0.6569 Date_of_death = Jun2015 Prediction Error = 1.4187 Date_of_death = May2015 Prediction Error = 1.448 Date_of_death = Apr2015 Prediction Error = 1.6139 Date_of_death = Mar2015 Prediction Error = -1.682 Date_of_death = Feb2015 Prediction Error = -0.49 Date_of_death = Jan2015 Prediction Error = -0.922 Date_of_death = Dec2014 Prediction Error = -1.665 Date_of_death = Nov2014 Prediction Error = -0.967 Date_of_death = Oct2014 Prediction Error = -0.474 Date_of_death = Sep2014 Prediction Error = 1.9203 Date_of_death = Aug2014 Prediction Error = 1.9583 Date_of_death = Jul2014 Prediction Error = -0.331 Date_of_death = Jun2014 Prediction Error = 0.465 Date_of_death = May2014 Prediction Error = -1.707 Date_of_death = Apr2014 Prediction Error = -0.5 Date_of_death = Mar2014 Prediction Error = 1.3843 Date_of_death = Feb2014 Prediction Error = -0.553 Date_of_death = Jan2014 Prediction Error = -1.021 Date_of_death = Dec2013 Prediction Error = -0.725 Date_of_death = Nov2013 Prediction Error = 1.144 Date_of_death = Oct2013 Prediction Error = 1.7154 Date_of_death = Sep2013 Prediction Error = 2.1409 Date_of_death = Aug2013 Prediction Error = -1.107 Date_of_death = Jul2013 Prediction Error = -1.439 Date_of_death = Jun2013 Prediction Error = 1.5925 Date_of_death = May2013 Prediction Error = 1.4677 Date_of_death = Apr2013 Prediction Error = 1.7326 Date_of_death = Mar2013 Prediction Error = 1.611 Date_of_death = Feb2013 Prediction Error = 0.6256 Date_of_death = Jan2013 Prediction Error = 1.2442 Date_of_death = Dec2012 Prediction Error = -1.699 Date_of_death = Nov2012 Prediction Error = -0.792 Date_of_death = Oct2012 Prediction Error = -1.312 Date_of_death = Sep2012 Prediction Error = -0.908 Date_of_death = Aug2012 Prediction Error = -1.176 Date_of_death = Jul2012 Prediction Error = -1.533 Date_of_death = Jun2012 Prediction Error = -1.558 Date_of_death = May2012 Prediction Error = 1.5549 Date_of_death = Apr2012 Prediction Error = -1.468 Date_of_death = Mar2012 Prediction Error = -1.662 Date_of_death = Feb2012 Prediction Error = -0.587 Date_of_death = Jan2012 Prediction Error = 2.2831 Date_of_death = Dec2011 Prediction Error = -2.021 Date_of_death = Nov2011 Prediction Error = -2.146 Date_of_death = Oct2011 Prediction Error = 1.7025 Date_of_death = Sep2011 Prediction Error = -1.133 Date_of_death = Aug2011 Prediction Error = 1.9016 Date_of_death = Jul2011 Prediction Error = -0.653 Date_of_death = Jun2011 Prediction Error = 1.5578 Date_of_death = May2011 Prediction Error = -1.65 Date_of_death = Apr2011 Prediction Error = 0.5435 Date_of_death = Mar2011 Prediction Error = -1.85 Date_of_death = Feb2011 Prediction Error = -0.678 Date_of_death = Jan2011 Prediction Error = 0.2365 Date_of_death = Dec2010 Prediction Error = 1.0557 Date_of_death = Nov2010 Prediction Error = -1.263 Date_of_death = Oct2010 Prediction Error = 1.8699 Date_of_death = Sep2010 Prediction Error = -0.13 Date_of_death = Aug2010 Prediction Error = -1.248 Date_of_death = Jul2010 Prediction Error = -0.759 Date_of_death = Jun2010 Prediction Error = -0.566 Date_of_death = May2010 Prediction Error = 0.3416 Date_of_death = Apr2010 Prediction Error = -1.684 Date_of_death = Mar2010 Prediction Error = -2.118 Date_of_death = Feb2010 Prediction Error = -0.831 Date_of_death = Jan2010 Prediction Error = -0.951 Date_of_death = Dec2009 Prediction Error = 1.0669 Date_of_death = Nov2009 Prediction Error = -2.64 Date_of_death = Oct2009 Prediction Error = -1.439 Date_of_death = Sep2009 Prediction Error = -0.333 Date_of_death = Aug2009 Prediction Error = 1.807 Date_of_death = Jul2009 Prediction Error = -0.985 Date_of_death = Jun2009 Prediction Error = 1.4829 Date_of_death = May2009 Prediction Error = 1.3946 Date_of_death = Apr2009 Prediction Error = 1.4181 Date_of_death = Mar2009 Prediction Error = -2.396 Date_of_death = Feb2009 Prediction Error = 1.2918 Date_of_death = Jan2009 Prediction Error = 0.0649 Date_of_death = Dec2008 Prediction Error = -2.216 Date_of_death = Nov2008 Prediction Error = 0.4156 Date_of_death = Oct2008 Prediction Error = -0.465 Date_of_death = Sep2008 Prediction Error = 1.9392 Date_of_death = Aug2008 Prediction Error = -0.187 Date_of_death = Jul2008 Prediction Error = 1.2068 Date_of_death = Jun2008 Prediction Error = -1.692 Date_of_death = May2008 Prediction Error = -1.843 Date_of_death = Apr2008 Prediction Error = 1.5558 Date_of_death = Mar2008 Prediction Error = -1.592 Date_of_death = Feb2008 Prediction Error = 0.2881 Date_of_death = Jan2008 Prediction Error = 0.034 Date_of_death = Dec2007 Prediction Error = 0.9044 Date_of_death = Nov2007 Prediction Error = 0.4836 Date_of_death = Oct2007 Prediction Error = 1.7951 Date_of_death = Sep2007 Prediction Error = -1.22 Date_of_death = Aug2007 Prediction Error = -1.381 Date_of_death = Jul2007 Prediction Error = -2.123 Date_of_death = Jun2007 Prediction Error = 0.3103 Date_of_death = May2007 Prediction Error = -0.989 Date_of_death = Apr2007 Prediction Error = 1.7506 Date_of_death = Mar2007 Prediction Error = 0.4723 Date_of_death = Feb2007 Prediction Error = 0.335 Date_of_death = Jan2007 Prediction Error = -1.136 Date_of_death = Dec2006 Prediction Error = 1.0446 Date_of_death = Nov2006 Prediction Error = 0.5527 Date_of_death = Oct2006 Prediction Error = -1.464 Date_of_death = Sep2006 Prediction Error = 2.0624 Date_of_death = Aug2006 Prediction Error = 1.9213 Date_of_death = Jul2006 Prediction Error = -1.259 Date_of_death = Jun2006 Prediction Error = -0.768 Date_of_death = May2006 Prediction Error = -2.295 Date_of_death = Apr2006 Prediction Error = -1.48 Date_of_death = Mar2006 Prediction Error = -3.018 Date_of_death = Feb2006 Prediction Error = 0.3192 Date_of_death = Jan2006 Prediction Error = -1.431 Date_of_death = Dec2005 Prediction Error = -0.032 Date_of_death = Nov2005 Prediction Error = 0.5741 Date_of_death = Oct2005 Prediction Error = 1.7937 Date_of_death = Sep2005 Prediction Error = -1.22 Date_of_death = Aug2005 Prediction Error = 2.2046 Date_of_death = Jul2005 Prediction Error = 0.814 Date_of_death = Jun2005 Prediction Error = -0.997 Date_of_death = May2005 Prediction Error = -1.615 Date_of_death = Apr2005 Prediction Error = 1.8055 Date_of_death = Mar2005 Prediction Error = 0.0059 Date_of_death = Feb2005 Prediction Error = -0.803 Date_of_death = Jan2005 Prediction Error = -1.772 Date_of_death = Dec2004 Prediction Error = -0.022 Date_of_death = Nov2004 Prediction Error = 0.7344 Date_of_death = Oct2004 Prediction Error = -1.53 Date_of_death = Sep2004 Prediction Error = 2.2405 Date_of_death = Aug2004 Prediction Error = 2.767 Date_of_death = Jul2004 Prediction Error = 1.0276 Date_of_death = Jun2004 Prediction Error = 1.291 Date_of_death = May2004 Prediction Error = 0.5477 Date_of_death = Apr2004 Prediction Error = 1.0594 Date_of_death = Mar2004 Prediction Error = 0.0618 Date_of_death = Feb2004 Prediction Error = -0.946 Date_of_death = Jan2004 Prediction Error = -2.301 Date_of_death = Dec2003 Prediction Error = -2.653 Date_of_death = Nov2003 Prediction Error = 1.0218 Date_of_death = Oct2003 Prediction Error = -1.993 Date_of_death = Sep2003 Prediction Error = -1 Date_of_death = Aug2003 Prediction Error = -0.336 Date_of_death = Jul2003 Prediction Error = -0.002 Date_of_death = Jun2003 Prediction Error = 1.6775 Date_of_death = May2003 Prediction Error = 0.6834 Date_of_death = Apr2003 Prediction Error = -1.326 Date_of_death = Mar2003 Prediction Error = 0.0075 Date_of_death = Feb2003 Prediction Error = -1.336 Date_of_death = Jan2003 Prediction Error = 1.0018 Date_of_death = Dec2002 Prediction Error = -1.004 Date_of_death = Nov2002 Prediction Error = 1.5049 Date_of_death = Oct2002 Prediction Error = 1.514 Date_of_death = Sep2002 Prediction Error = -1.494 Date_of_death = Aug2002 Prediction Error = 1.0125 Date_of_death = Jul2002 Prediction Error = 1.5219 Date_of_death = Jun2002 Prediction Error = -1.988 Date_of_death = May2002 Prediction Error = -1.999 Date_of_death = Apr2002 Prediction Error = -2.011 Date_of_death = Mar2002 Prediction Error = -0.012 Date_of_death = Feb2002 Prediction Error = 2.5024 Date_of_death = Jan2002 Prediction Error = 2.0088 Date_of_death = Dec2001 Prediction Error = 0.0097 Date_of_death = Nov2001 Prediction Error = -3 Date_of_death = Oct2001 Prediction Error = -3.011 Date_of_death = Sep2001 Prediction Error = 2.9991 Date_of_death = Aug2001 Prediction Error = -.0009 Date_of_death = Jul2001 Prediction Error = 3.0097 Date_of_death = Jun2001 Prediction Error = -1.996 Date_of_death = May2001 Prediction Error = 0.0038 Date_of_death = Apr2001 Prediction Error = -2.003 Date_of_death = Mar2001 Prediction Error = -0.003 Date_of_death = Feb2001 Prediction Error = 1 Date_of_death = Sep2019 2*STD = 2.6516 -2*STD = -2.652 Date_of_death = Aug2019 2*STD = 2.6516 -2*STD = -2.652 Date_of_death = Aug2019 2*STD = 2.6516 -2*STD = -2.652 Date_of_death = Jul2019 2*STD = 2.6517 -2*STD = -2.652 Date_of_death = Jul2019 2*STD = 2.6517 -2*STD = -2.652 Date_of_death = Jun2019 2*STD = 2.6517 -2*STD = -2.652 Date_of_death = Jun2019 2*STD = 2.6517 -2*STD = -2.652 Date_of_death = May2019 2*STD = 2.6517 -2*STD = -2.652 Date_of_death = May2019 2*STD = 2.6517 -2*STD = -2.652 Date_of_death = Apr2019 2*STD = 2.6517 -2*STD = -2.652 Date_of_death = Apr2019 2*STD = 2.6517 -2*STD = -2.652 Date_of_death = Mar2019 2*STD = 2.6518 -2*STD = -2.652 Date_of_death = Mar2019 2*STD = 2.6518 -2*STD = -2.652 Date_of_death = Feb2019 2*STD = 2.6518 -2*STD = -2.652 Date_of_death = Feb2019 2*STD = 2.6518 -2*STD = -2.652 Date_of_death = Jan2019 2*STD = 2.6549 -2*STD = -2.655 Date_of_death = Jan2019 2*STD = 2.6549 -2*STD = -2.655 Date_of_death = Dec2018 2*STD = 2.6549 -2*STD = -2.655 Date_of_death = Dec2018 2*STD = 2.6549 -2*STD = -2.655 Date_of_death = Nov2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Nov2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Oct2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Oct2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Sep2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Sep2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Aug2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Aug2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Jul2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Jul2018 2*STD = 2.655 -2*STD = -2.655 Date_of_death = Jun2018 2*STD = 2.6551 -2*STD = -2.655 Date_of_death = Jun2018 2*STD = 2.6551 -2*STD = -2.655 Date_of_death = May2018 2*STD = 2.6551 -2*STD = -2.655 Date_of_death = May2018 2*STD = 2.6551 -2*STD = -2.655 Date_of_death = Apr2018 2*STD = 2.6551 -2*STD = -2.655 Date_of_death = Apr2018 2*STD = 2.6551 -2*STD = -2.655 Date_of_death = Mar2018 2*STD = 2.6552 -2*STD = -2.655 Date_of_death = Mar2018 2*STD = 2.6552 -2*STD = -2.655 Date_of_death = Feb2018 2*STD = 2.6552 -2*STD = -2.655 Date_of_death = Feb2018 2*STD = 2.6552 -2*STD = -2.655 Date_of_death = Jan2018 2*STD = 2.6587 -2*STD = -2.659 Date_of_death = Jan2018 2*STD = 2.6587 -2*STD = -2.659 Date_of_death = Dec2017 2*STD = 2.6587 -2*STD = -2.659 Date_of_death = Dec2017 2*STD = 2.6587 -2*STD = -2.659 Date_of_death = Nov2017 2*STD = 2.6587 -2*STD = -2.659 Date_of_death = Nov2017 2*STD = 2.6587 -2*STD = -2.659 Date_of_death = Oct2017 2*STD = 2.6587 -2*STD = -2.659 Date_of_death = Oct2017 2*STD = 2.6587 -2*STD = -2.659 Date_of_death = Sep2017 2*STD = 2.6588 -2*STD = -2.659 Date_of_death = Sep2017 2*STD = 2.6588 -2*STD = -2.659 Date_of_death = Aug2017 2*STD = 2.6588 -2*STD = -2.659 Date_of_death = Aug2017 2*STD = 2.6588 -2*STD = -2.659 Date_of_death = Jul2017 2*STD = 2.6588 -2*STD = -2.659 Date_of_death = Jul2017 2*STD = 2.6588 -2*STD = -2.659 Date_of_death = Jun2017 2*STD = 2.6588 -2*STD = -2.659 Date_of_death = Jun2017 2*STD = 2.6588 -2*STD = -2.659 Date_of_death = May2017 2*STD = 2.6589 -2*STD = -2.659 Date_of_death = May2017 2*STD = 2.6589 -2*STD = -2.659 Date_of_death = Apr2017 2*STD = 2.6589 -2*STD = -2.659 Date_of_death = Apr2017 2*STD = 2.6589 -2*STD = -2.659 Date_of_death = Mar2017 2*STD = 2.6589 -2*STD = -2.659 Date_of_death = Mar2017 2*STD = 2.6589 -2*STD = -2.659 Date_of_death = Feb2017 2*STD = 2.659 -2*STD = -2.659 Date_of_death = Feb2017 2*STD = 2.659 -2*STD = -2.659 Date_of_death = Jan2017 2*STD = 2.6629 -2*STD = -2.663 Date_of_death = Jan2017 2*STD = 2.6629 -2*STD = -2.663 Date_of_death = Dec2016 2*STD = 2.6629 -2*STD = -2.663 Date_of_death = Dec2016 2*STD = 2.6629 -2*STD = -2.663 Date_of_death = Nov2016 2*STD = 2.6629 -2*STD = -2.663 Date_of_death = Nov2016 2*STD = 2.6629 -2*STD = -2.663 Date_of_death = Oct2016 2*STD = 2.663 -2*STD = -2.663 Date_of_death = Oct2016 2*STD = 2.663 -2*STD = -2.663 Date_of_death = Sep2016 2*STD = 2.663 -2*STD = -2.663 Date_of_death = Sep2016 2*STD = 2.663 -2*STD = -2.663 Date_of_death = Aug2016 2*STD = 2.663 -2*STD = -2.663 Date_of_death = Aug2016 2*STD = 2.663 -2*STD = -2.663 Date_of_death = Jul2016 2*STD = 2.663 -2*STD = -2.663 Date_of_death = Jul2016 2*STD = 2.663 -2*STD = -2.663 Date_of_death = Jun2016 2*STD = 2.6631 -2*STD = -2.663 Date_of_death = Jun2016 2*STD = 2.6631 -2*STD = -2.663 Date_of_death = May2016 2*STD = 2.6631 -2*STD = -2.663 Date_of_death = May2016 2*STD = 2.6631 -2*STD = -2.663 Date_of_death = Apr2016 2*STD = 2.6631 -2*STD = -2.663 Date_of_death = Apr2016 2*STD = 2.6631 -2*STD = -2.663 Date_of_death = Mar2016 2*STD = 2.6632 -2*STD = -2.663 Date_of_death = Mar2016 2*STD = 2.6632 -2*STD = -2.663 Date_of_death = Feb2016 2*STD = 2.6632 -2*STD = -2.663 Date_of_death = Feb2016 2*STD = 2.6632 -2*STD = -2.663 Date_of_death = Jan2016 2*STD = 2.6677 -2*STD = -2.668 Date_of_death = Jan2016 2*STD = 2.6677 -2*STD = -2.668 Date_of_death = Dec2015 2*STD = 2.6677 -2*STD = -2.668 Date_of_death = Dec2015 2*STD = 2.6677 -2*STD = -2.668 Date_of_death = Nov2015 2*STD = 2.6677 -2*STD = -2.668 Date_of_death = Nov2015 2*STD = 2.6677 -2*STD = -2.668 Date_of_death = Oct2015 2*STD = 2.6677 -2*STD = -2.668 Date_of_death = Oct2015 2*STD = 2.6677 -2*STD = -2.668 Date_of_death = Sep2015 2*STD = 2.6678 -2*STD = -2.668 Date_of_death = Sep2015 2*STD = 2.6678 -2*STD = -2.668 Date_of_death = Aug2015 2*STD = 2.6678 -2*STD = -2.668 Date_of_death = Aug2015 2*STD = 2.6678 -2*STD = -2.668 Date_of_death = Jul2015 2*STD = 2.6678 -2*STD = -2.668 Date_of_death = Jul2015 2*STD = 2.6678 -2*STD = -2.668 Date_of_death = Jun2015 2*STD = 2.6679 -2*STD = -2.668 Date_of_death = Jun2015 2*STD = 2.6679 -2*STD = -2.668 Date_of_death = May2015 2*STD = 2.6679 -2*STD = -2.668 Date_of_death = May2015 2*STD = 2.6679 -2*STD = -2.668 Date_of_death = Apr2015 2*STD = 2.6679 -2*STD = -2.668 Date_of_death = Apr2015 2*STD = 2.6679 -2*STD = -2.668 Date_of_death = Mar2015 2*STD = 2.668 -2*STD = -2.668 Date_of_death = Mar2015 2*STD = 2.668 -2*STD = -2.668 Date_of_death = Feb2015 2*STD = 2.668 -2*STD = -2.668 Date_of_death = Feb2015 2*STD = 2.668 -2*STD = -2.668 Date_of_death = Jan2015 2*STD = 2.6731 -2*STD = -2.673 Date_of_death = Jan2015 2*STD = 2.6731 -2*STD = -2.673 Date_of_death = Dec2014 2*STD = 2.6731 -2*STD = -2.673 Date_of_death = Dec2014 2*STD = 2.6731 -2*STD = -2.673 Date_of_death = Nov2014 2*STD = 2.6732 -2*STD = -2.673 Date_of_death = Nov2014 2*STD = 2.6732 -2*STD = -2.673 Date_of_death = Oct2014 2*STD = 2.6732 -2*STD = -2.673 Date_of_death = Oct2014 2*STD = 2.6732 -2*STD = -2.673 Date_of_death = Sep2014 2*STD = 2.6732 -2*STD = -2.673 Date_of_death = Sep2014 2*STD = 2.6732 -2*STD = -2.673 Date_of_death = Aug2014 2*STD = 2.6732 -2*STD = -2.673 Date_of_death = Aug2014 2*STD = 2.6732 -2*STD = -2.673 Date_of_death = Jul2014 2*STD = 2.6733 -2*STD = -2.673 Date_of_death = Jul2014 2*STD = 2.6733 -2*STD = -2.673 Date_of_death = Jun2014 2*STD = 2.6733 -2*STD = -2.673 Date_of_death = Jun2014 2*STD = 2.6733 -2*STD = -2.673 Date_of_death = May2014 2*STD = 2.6734 -2*STD = -2.673 Date_of_death = May2014 2*STD = 2.6734 -2*STD = -2.673 Date_of_death = Apr2014 2*STD = 2.6734 -2*STD = -2.673 Date_of_death = Apr2014 2*STD = 2.6734 -2*STD = -2.673 Date_of_death = Mar2014 2*STD = 2.6735 -2*STD = -2.673 Date_of_death = Mar2014 2*STD = 2.6735 -2*STD = -2.673 Date_of_death = Feb2014 2*STD = 2.6735 -2*STD = -2.674 Date_of_death = Feb2014 2*STD = 2.6735 -2*STD = -2.674 Date_of_death = Jan2014 2*STD = 2.6794 -2*STD = -2.679 Date_of_death = Jan2014 2*STD = 2.6794 -2*STD = -2.679 Date_of_death = Dec2013 2*STD = 2.6794 -2*STD = -2.679 Date_of_death = Dec2013 2*STD = 2.6794 -2*STD = -2.679 Date_of_death = Nov2013 2*STD = 2.6794 -2*STD = -2.679 Date_of_death = Nov2013 2*STD = 2.6794 -2*STD = -2.679 Date_of_death = Oct2013 2*STD = 2.6795 -2*STD = -2.679 Date_of_death = Oct2013 2*STD = 2.6795 -2*STD = -2.679 Date_of_death = Sep2013 2*STD = 2.6795 -2*STD = -2.68 Date_of_death = Sep2013 2*STD = 2.6795 -2*STD = -2.68 Date_of_death = Aug2013 2*STD = 2.6795 -2*STD = -2.68 Date_of_death = Aug2013 2*STD = 2.6795 -2*STD = -2.68 Date_of_death = Jul2013 2*STD = 2.6796 -2*STD = -2.68 Date_of_death = Jul2013 2*STD = 2.6796 -2*STD = -2.68 Date_of_death = Jun2013 2*STD = 2.6796 -2*STD = -2.68 Date_of_death = Jun2013 2*STD = 2.6796 -2*STD = -2.68 Date_of_death = May2013 2*STD = 2.6797 -2*STD = -2.68 Date_of_death = May2013 2*STD = 2.6797 -2*STD = -2.68 Date_of_death = Apr2013 2*STD = 2.6797 -2*STD = -2.68 Date_of_death = Apr2013 2*STD = 2.6797 -2*STD = -2.68 Date_of_death = Mar2013 2*STD = 2.6798 -2*STD = -2.68 Date_of_death = Mar2013 2*STD = 2.6798 -2*STD = -2.68 Date_of_death = Feb2013 2*STD = 2.6798 -2*STD = -2.68 Date_of_death = Feb2013 2*STD = 2.6798 -2*STD = -2.68 Date_of_death = Jan2013 2*STD = 2.6867 -2*STD = -2.687 Date_of_death = Jan2013 2*STD = 2.6867 -2*STD = -2.687 Date_of_death = Dec2012 2*STD = 2.6867 -2*STD = -2.687 Date_of_death = Dec2012 2*STD = 2.6867 -2*STD = -2.687 Date_of_death = Nov2012 2*STD = 2.6868 -2*STD = -2.687 Date_of_death = Nov2012 2*STD = 2.6868 -2*STD = -2.687 Date_of_death = Oct2012 2*STD = 2.6868 -2*STD = -2.687 Date_of_death = Oct2012 2*STD = 2.6868 -2*STD = -2.687 Date_of_death = Sep2012 2*STD = 2.6868 -2*STD = -2.687 Date_of_death = Sep2012 2*STD = 2.6868 -2*STD = -2.687 Date_of_death = Aug2012 2*STD = 2.6869 -2*STD = -2.687 Date_of_death = Aug2012 2*STD = 2.6869 -2*STD = -2.687 Date_of_death = Jul2012 2*STD = 2.6869 -2*STD = -2.687 Date_of_death = Jul2012 2*STD = 2.6869 -2*STD = -2.687 Date_of_death = Jun2012 2*STD = 2.6869 -2*STD = -2.687 Date_of_death = Jun2012 2*STD = 2.6869 -2*STD = -2.687 Date_of_death = May2012 2*STD = 2.687 -2*STD = -2.687 Date_of_death = May2012 2*STD = 2.687 -2*STD = -2.687 Date_of_death = Apr2012 2*STD = 2.687 -2*STD = -2.687 Date_of_death = Apr2012 2*STD = 2.687 -2*STD = -2.687 Date_of_death = Mar2012 2*STD = 2.6871 -2*STD = -2.687 Date_of_death = Mar2012 2*STD = 2.6871 -2*STD = -2.687 Date_of_death = Feb2012 2*STD = 2.6871 -2*STD = -2.687 Date_of_death = Feb2012 2*STD = 2.6871 -2*STD = -2.687 Date_of_death = Jan2012 2*STD = 2.6953 -2*STD = -2.695 Date_of_death = Jan2012 2*STD = 2.6953 -2*STD = -2.695 Date_of_death = Dec2011 2*STD = 2.6954 -2*STD = -2.695 Date_of_death = Dec2011 2*STD = 2.6954 -2*STD = -2.695 Date_of_death = Nov2011 2*STD = 2.6954 -2*STD = -2.695 Date_of_death = Nov2011 2*STD = 2.6954 -2*STD = -2.695 Date_of_death = Oct2011 2*STD = 2.6954 -2*STD = -2.695 Date_of_death = Oct2011 2*STD = 2.6954 -2*STD = -2.695 Date_of_death = Sep2011 2*STD = 2.6954 -2*STD = -2.695 Date_of_death = Sep2011 2*STD = 2.6954 -2*STD = -2.695 Date_of_death = Aug2011 2*STD = 2.6955 -2*STD = -2.695 Date_of_death = Aug2011 2*STD = 2.6955 -2*STD = -2.695 Date_of_death = Jul2011 2*STD = 2.6955 -2*STD = -2.696 Date_of_death = Jul2011 2*STD = 2.6955 -2*STD = -2.696 Date_of_death = Jun2011 2*STD = 2.6956 -2*STD = -2.696 Date_of_death = Jun2011 2*STD = 2.6956 -2*STD = -2.696 Date_of_death = May2011 2*STD = 2.6956 -2*STD = -2.696 Date_of_death = May2011 2*STD = 2.6956 -2*STD = -2.696 Date_of_death = Apr2011 2*STD = 2.6957 -2*STD = -2.696 Date_of_death = Apr2011 2*STD = 2.6957 -2*STD = -2.696 Date_of_death = Mar2011 2*STD = 2.6957 -2*STD = -2.696 Date_of_death = Mar2011 2*STD = 2.6957 -2*STD = -2.696 Date_of_death = Feb2011 2*STD = 2.6958 -2*STD = -2.696 Date_of_death = Feb2011 2*STD = 2.6958 -2*STD = -2.696 Date_of_death = Jan2011 2*STD = 2.7057 -2*STD = -2.706 Date_of_death = Jan2011 2*STD = 2.7057 -2*STD = -2.706 Date_of_death = Dec2010 2*STD = 2.7057 -2*STD = -2.706 Date_of_death = Dec2010 2*STD = 2.7057 -2*STD = -2.706 Date_of_death = Nov2010 2*STD = 2.7057 -2*STD = -2.706 Date_of_death = Nov2010 2*STD = 2.7057 -2*STD = -2.706 Date_of_death = Oct2010 2*STD = 2.7057 -2*STD = -2.706 Date_of_death = Oct2010 2*STD = 2.7057 -2*STD = -2.706 Date_of_death = Sep2010 2*STD = 2.7058 -2*STD = -2.706 Date_of_death = Sep2010 2*STD = 2.7058 -2*STD = -2.706 Date_of_death = Aug2010 2*STD = 2.7058 -2*STD = -2.706 Date_of_death = Aug2010 2*STD = 2.7058 -2*STD = -2.706 Date_of_death = Jul2010 2*STD = 2.7059 -2*STD = -2.706 Date_of_death = Jul2010 2*STD = 2.7059 -2*STD = -2.706 Date_of_death = Jun2010 2*STD = 2.7059 -2*STD = -2.706 Date_of_death = Jun2010 2*STD = 2.7059 -2*STD = -2.706 Date_of_death = May2010 2*STD = 2.706 -2*STD = -2.706 Date_of_death = May2010 2*STD = 2.706 -2*STD = -2.706 Date_of_death = Apr2010 2*STD = 2.706 -2*STD = -2.706 Date_of_death = Apr2010 2*STD = 2.706 -2*STD = -2.706 Date_of_death = Mar2010 2*STD = 2.7061 -2*STD = -2.706 Date_of_death = Mar2010 2*STD = 2.7061 -2*STD = -2.706 Date_of_death = Feb2010 2*STD = 2.7061 -2*STD = -2.706 Date_of_death = Feb2010 2*STD = 2.7061 -2*STD = -2.706 Date_of_death = Jan2010 2*STD = 2.7183 -2*STD = -2.718 Date_of_death = Jan2010 2*STD = 2.7183 -2*STD = -2.718 Date_of_death = Dec2009 2*STD = 2.7183 -2*STD = -2.718 Date_of_death = Dec2009 2*STD = 2.7183 -2*STD = -2.718 Date_of_death = Nov2009 2*STD = 2.7183 -2*STD = -2.718 Date_of_death = Nov2009 2*STD = 2.7183 -2*STD = -2.718 Date_of_death = Oct2009 2*STD = 2.7184 -2*STD = -2.718 Date_of_death = Oct2009 2*STD = 2.7184 -2*STD = -2.718 Date_of_death = Sep2009 2*STD = 2.7184 -2*STD = -2.718 Date_of_death = Sep2009 2*STD = 2.7184 -2*STD = -2.718 Date_of_death = Aug2009 2*STD = 2.7184 -2*STD = -2.718 Date_of_death = Aug2009 2*STD = 2.7184 -2*STD = -2.718 Date_of_death = Jul2009 2*STD = 2.7185 -2*STD = -2.718 Date_of_death = Jul2009 2*STD = 2.7185 -2*STD = -2.718 Date_of_death = Jun2009 2*STD = 2.7185 -2*STD = -2.719 Date_of_death = Jun2009 2*STD = 2.7185 -2*STD = -2.719 Date_of_death = May2009 2*STD = 2.7186 -2*STD = -2.719 Date_of_death = May2009 2*STD = 2.7186 -2*STD = -2.719 Date_of_death = Apr2009 2*STD = 2.7186 -2*STD = -2.719 Date_of_death = Apr2009 2*STD = 2.7186 -2*STD = -2.719 Date_of_death = Mar2009 2*STD = 2.7187 -2*STD = -2.719 Date_of_death = Mar2009 2*STD = 2.7187 -2*STD = -2.719 Date_of_death = Feb2009 2*STD = 2.7188 -2*STD = -2.719 Date_of_death = Feb2009 2*STD = 2.7188 -2*STD = -2.719 Date_of_death = Jan2009 2*STD = 2.734 -2*STD = -2.734 Date_of_death = Jan2009 2*STD = 2.734 -2*STD = -2.734 Date_of_death = Dec2008 2*STD = 2.734 -2*STD = -2.734 Date_of_death = Dec2008 2*STD = 2.734 -2*STD = -2.734 Date_of_death = Nov2008 2*STD = 2.7341 -2*STD = -2.734 Date_of_death = Nov2008 2*STD = 2.7341 -2*STD = -2.734 Date_of_death = Oct2008 2*STD = 2.7341 -2*STD = -2.734 Date_of_death = Oct2008 2*STD = 2.7341 -2*STD = -2.734 Date_of_death = Sep2008 2*STD = 2.7341 -2*STD = -2.734 Date_of_death = Sep2008 2*STD = 2.7341 -2*STD = -2.734 Date_of_death = Aug2008 2*STD = 2.7342 -2*STD = -2.734 Date_of_death = Aug2008 2*STD = 2.7342 -2*STD = -2.734 Date_of_death = Jul2008 2*STD = 2.7342 -2*STD = -2.734 Date_of_death = Jul2008 2*STD = 2.7342 -2*STD = -2.734 Date_of_death = Jun2008 2*STD = 2.7343 -2*STD = -2.734 Date_of_death = Jun2008 2*STD = 2.7343 -2*STD = -2.734 Date_of_death = May2008 2*STD = 2.7343 -2*STD = -2.734 Date_of_death = May2008 2*STD = 2.7343 -2*STD = -2.734 Date_of_death = Apr2008 2*STD = 2.7344 -2*STD = -2.734 Date_of_death = Apr2008 2*STD = 2.7344 -2*STD = -2.734 Date_of_death = Mar2008 2*STD = 2.7344 -2*STD = -2.734 Date_of_death = Mar2008 2*STD = 2.7344 -2*STD = -2.734 Date_of_death = Feb2008 2*STD = 2.7345 -2*STD = -2.735 Date_of_death = Feb2008 2*STD = 2.7345 -2*STD = -2.735 Date_of_death = Jan2008 2*STD = 2.7542 -2*STD = -2.754 Date_of_death = Jan2008 2*STD = 2.7542 -2*STD = -2.754 Date_of_death = Dec2007 2*STD = 2.7542 -2*STD = -2.754 Date_of_death = Dec2007 2*STD = 2.7542 -2*STD = -2.754 Date_of_death = Nov2007 2*STD = 2.7542 -2*STD = -2.754 Date_of_death = Nov2007 2*STD = 2.7542 -2*STD = -2.754 Date_of_death = Oct2007 2*STD = 2.7543 -2*STD = -2.754 Date_of_death = Oct2007 2*STD = 2.7543 -2*STD = -2.754 Date_of_death = Sep2007 2*STD = 2.7543 -2*STD = -2.754 Date_of_death = Sep2007 2*STD = 2.7543 -2*STD = -2.754 Date_of_death = Aug2007 2*STD = 2.7544 -2*STD = -2.754 Date_of_death = Aug2007 2*STD = 2.7544 -2*STD = -2.754 Date_of_death = Jul2007 2*STD = 2.7544 -2*STD = -2.754 Date_of_death = Jul2007 2*STD = 2.7544 -2*STD = -2.754 Date_of_death = Jun2007 2*STD = 2.7544 -2*STD = -2.754 Date_of_death = Jun2007 2*STD = 2.7544 -2*STD = -2.754 Date_of_death = May2007 2*STD = 2.7545 -2*STD = -2.754 Date_of_death = May2007 2*STD = 2.7545 -2*STD = -2.754 Date_of_death = Apr2007 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Apr2007 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Mar2007 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Mar2007 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Feb2007 2*STD = 2.7547 -2*STD = -2.755 Date_of_death = Feb2007 2*STD = 2.7547 -2*STD = -2.755 Date_of_death = Jan2007 2*STD = 2.7811 -2*STD = -2.781 Date_of_death = Jan2007 2*STD = 2.7811 -2*STD = -2.781 Date_of_death = Dec2006 2*STD = 2.7811 -2*STD = -2.781 Date_of_death = Dec2006 2*STD = 2.7811 -2*STD = -2.781 Date_of_death = Nov2006 2*STD = 2.7811 -2*STD = -2.781 Date_of_death = Nov2006 2*STD = 2.7811 -2*STD = -2.781 Date_of_death = Oct2006 2*STD = 2.7811 -2*STD = -2.781 Date_of_death = Oct2006 2*STD = 2.7811 -2*STD = -2.781 Date_of_death = Sep2006 2*STD = 2.7812 -2*STD = -2.781 Date_of_death = Sep2006 2*STD = 2.7812 -2*STD = -2.781 Date_of_death = Aug2006 2*STD = 2.7812 -2*STD = -2.781 Date_of_death = Aug2006 2*STD = 2.7812 -2*STD = -2.781 Date_of_death = Jul2006 2*STD = 2.7813 -2*STD = -2.781 Date_of_death = Jul2006 2*STD = 2.7813 -2*STD = -2.781 Date_of_death = Jun2006 2*STD = 2.7813 -2*STD = -2.781 Date_of_death = Jun2006 2*STD = 2.7813 -2*STD = -2.781 Date_of_death = May2006 2*STD = 2.7813 -2*STD = -2.781 Date_of_death = May2006 2*STD = 2.7813 -2*STD = -2.781 Date_of_death = Apr2006 2*STD = 2.7814 -2*STD = -2.781 Date_of_death = Apr2006 2*STD = 2.7814 -2*STD = -2.781 Date_of_death = Mar2006 2*STD = 2.7815 -2*STD = -2.781 Date_of_death = Mar2006 2*STD = 2.7815 -2*STD = -2.781 Date_of_death = Feb2006 2*STD = 2.7815 -2*STD = -2.782 Date_of_death = Feb2006 2*STD = 2.7815 -2*STD = -2.782 Date_of_death = Jan2006 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Jan2006 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Dec2005 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Dec2005 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Nov2005 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Nov2005 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Oct2005 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Oct2005 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Sep2005 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Sep2005 2*STD = 2.8186 -2*STD = -2.819 Date_of_death = Aug2005 2*STD = 2.8187 -2*STD = -2.819 Date_of_death = Aug2005 2*STD = 2.8187 -2*STD = -2.819 Date_of_death = Jul2005 2*STD = 2.8187 -2*STD = -2.819 Date_of_death = Jul2005 2*STD = 2.8187 -2*STD = -2.819 Date_of_death = Jun2005 2*STD = 2.8188 -2*STD = -2.819 Date_of_death = Jun2005 2*STD = 2.8188 -2*STD = -2.819 Date_of_death = May2005 2*STD = 2.8188 -2*STD = -2.819 Date_of_death = May2005 2*STD = 2.8188 -2*STD = -2.819 Date_of_death = Apr2005 2*STD = 2.8188 -2*STD = -2.819 Date_of_death = Apr2005 2*STD = 2.8188 -2*STD = -2.819 Date_of_death = Mar2005 2*STD = 2.8189 -2*STD = -2.819 Date_of_death = Mar2005 2*STD = 2.8189 -2*STD = -2.819 Date_of_death = Feb2005 2*STD = 2.819 -2*STD = -2.819 Date_of_death = Feb2005 2*STD = 2.819 -2*STD = -2.819 Date_of_death = Jan2005 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Jan2005 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Dec2004 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Dec2004 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Nov2004 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Nov2004 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Oct2004 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Oct2004 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Sep2004 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Sep2004 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Aug2004 2*STD = 2.8745 -2*STD = -2.874 Date_of_death = Aug2004 2*STD = 2.8745 -2*STD = -2.874 Date_of_death = Jul2004 2*STD = 2.8745 -2*STD = -2.874 Date_of_death = Jul2004 2*STD = 2.8745 -2*STD = -2.874 Date_of_death = Jun2004 2*STD = 2.8745 -2*STD = -2.875 Date_of_death = Jun2004 2*STD = 2.8745 -2*STD = -2.875 Date_of_death = May2004 2*STD = 2.8746 -2*STD = -2.875 Date_of_death = May2004 2*STD = 2.8746 -2*STD = -2.875 Date_of_death = Apr2004 2*STD = 2.8746 -2*STD = -2.875 Date_of_death = Apr2004 2*STD = 2.8746 -2*STD = -2.875 Date_of_death = Mar2004 2*STD = 2.8747 -2*STD = -2.875 Date_of_death = Mar2004 2*STD = 2.8747 -2*STD = -2.875 Date_of_death = Feb2004 2*STD = 2.8747 -2*STD = -2.875 Date_of_death = Feb2004 2*STD = 2.8747 -2*STD = -2.875 Date_of_death = Jan2004 2*STD = 2.9659 -2*STD = -2.966 Date_of_death = Jan2004 2*STD = 2.9659 -2*STD = -2.966 Date_of_death = Dec2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Dec2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Nov2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Nov2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Oct2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Oct2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Sep2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Sep2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Aug2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Aug2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Jul2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Jul2003 2*STD = 2.966 -2*STD = -2.966 Date_of_death = Jun2003 2*STD = 2.9661 -2*STD = -2.966 Date_of_death = Jun2003 2*STD = 2.9661 -2*STD = -2.966 Date_of_death = May2003 2*STD = 2.9661 -2*STD = -2.966 Date_of_death = May2003 2*STD = 2.9661 -2*STD = -2.966 Date_of_death = Apr2003 2*STD = 2.9661 -2*STD = -2.966 Date_of_death = Apr2003 2*STD = 2.9661 -2*STD = -2.966 Date_of_death = Mar2003 2*STD = 2.9661 -2*STD = -2.966 Date_of_death = Mar2003 2*STD = 2.9661 -2*STD = -2.966 Date_of_death = Feb2003 2*STD = 2.9662 -2*STD = -2.966 Date_of_death = Feb2003 2*STD = 2.9662 -2*STD = -2.966 Date_of_death = Jan2003 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Jan2003 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Dec2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Dec2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Nov2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Nov2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Oct2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Oct2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Sep2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Sep2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Aug2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Aug2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Jul2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Jul2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Jun2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = Jun2002 2*STD = 3.1427 -2*STD = -3.143 Date_of_death = May2002 2*STD = 3.1428 -2*STD = -3.143 Date_of_death = May2002 2*STD = 3.1428 -2*STD = -3.143 Date_of_death = Apr2002 2*STD = 3.1428 -2*STD = -3.143 Date_of_death = Apr2002 2*STD = 3.1428 -2*STD = -3.143 Date_of_death = Mar2002 2*STD = 3.1428 -2*STD = -3.143 Date_of_death = Mar2002 2*STD = 3.1428 -2*STD = -3.143 Date_of_death = Feb2002 2*STD = 3.1428 -2*STD = -3.143 Date_of_death = Feb2002 2*STD = 3.1428 -2*STD = -3.143 Date_of_death = Jan2002 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Jan2002 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Dec2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Dec2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Nov2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Nov2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Oct2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Oct2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Sep2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Sep2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Aug2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Aug2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Jul2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Jul2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Jun2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Jun2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = May2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = May2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Apr2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Apr2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Mar2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Mar2001 2*STD = 3.6249 -2*STD = -3.625 Date_of_death = Feb2001 2*STD = 3.6249 -2*STD = -3.625 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
237 OCT2019 2.194152 1.32580 -0.404372 4.792675
238 NOV2019 2.512591 1.32605 -0.086424 5.111605
239 DEC2019 2.199461 1.32630 -0.400041 4.798962
240 JAN2020 1.675808 1.32655 -0.924176 4.275792
241 FEB2020 1.364240 1.32542 -1.233526 3.962007
242 MAR2020 2.416760 1.32566 -0.181481 5.015001
243 APR2020 2.219292 1.32590 -0.379420 4.818003
244 MAY2020 2.171808 1.32614 -0.427370 4.770986
245 JUN2020 2.324344 1.32637 -0.275296 4.923985
246 JUL2020 1.976857 1.32661 -0.623242 4.576957
247 AUG2020 1.979393 1.32684 -0.621161 4.579947
248 SEP2020 1.931914 1.32707 -0.669091 4.532918

Forecasts Only Plot

Date_of_death = Sep2020 Forecast = 1.9319 Date_of_death = Aug2020 Forecast = 1.9794 Date_of_death = Aug2020 Forecast = 1.9794 Date_of_death = Jul2020 Forecast = 1.9769 Date_of_death = Jul2020 Forecast = 1.9769 Date_of_death = Jun2020 Forecast = 2.3243 Date_of_death = Jun2020 Forecast = 2.3243 Date_of_death = May2020 Forecast = 2.1718 Date_of_death = May2020 Forecast = 2.1718 Date_of_death = Apr2020 Forecast = 2.2193 Date_of_death = Apr2020 Forecast = 2.2193 Date_of_death = Mar2020 Forecast = 2.4168 Date_of_death = Mar2020 Forecast = 2.4168 Date_of_death = Feb2020 Forecast = 1.3642 Date_of_death = Feb2020 Forecast = 1.3642 Date_of_death = Jan2020 Forecast = 1.6758 Date_of_death = Jan2020 Forecast = 1.6758 Date_of_death = Dec2019 Forecast = 2.1995 Date_of_death = Dec2019 Forecast = 2.1995 Date_of_death = Nov2019 Forecast = 2.5126 Date_of_death = Nov2019 Forecast = 2.5126 Date_of_death = Oct2019 Forecast = 2.1942 Date_of_death = Sep2020 Upper 95% = 4.5329 Lower 95% = -0.6691 Date_of_death = Aug2020 Upper 95% = 4.5799 Lower 95% = -0.6212 Date_of_death = Aug2020 Upper 95% = 4.5799 Lower 95% = -0.6212 Date_of_death = Jul2020 Upper 95% = 4.5770 Lower 95% = -0.6232 Date_of_death = Jul2020 Upper 95% = 4.5770 Lower 95% = -0.6232 Date_of_death = Jun2020 Upper 95% = 4.9240 Lower 95% = -0.2753 Date_of_death = Jun2020 Upper 95% = 4.9240 Lower 95% = -0.2753 Date_of_death = May2020 Upper 95% = 4.7710 Lower 95% = -0.4274 Date_of_death = May2020 Upper 95% = 4.7710 Lower 95% = -0.4274 Date_of_death = Apr2020 Upper 95% = 4.8180 Lower 95% = -0.3794 Date_of_death = Apr2020 Upper 95% = 4.8180 Lower 95% = -0.3794 Date_of_death = Mar2020 Upper 95% = 5.0150 Lower 95% = -0.1815 Date_of_death = Mar2020 Upper 95% = 5.0150 Lower 95% = -0.1815 Date_of_death = Feb2020 Upper 95% = 3.9620 Lower 95% = -1.2335 Date_of_death = Feb2020 Upper 95% = 3.9620 Lower 95% = -1.2335 Date_of_death = Jan2020 Upper 95% = 4.2758 Lower 95% = -0.9242 Date_of_death = Jan2020 Upper 95% = 4.2758 Lower 95% = -0.9242 Date_of_death = Dec2019 Upper 95% = 4.7990 Lower 95% = -0.4000 Date_of_death = Dec2019 Upper 95% = 4.7990 Lower 95% = -0.4000 Date_of_death = Nov2019 Upper 95% = 5.1116 Lower 95% = -0.0864 Date_of_death = Nov2019 Upper 95% = 5.1116 Lower 95% = -0.0864 Date_of_death = Oct2019 Upper 95% = 4.7927 Lower 95% = -0.4044
Forecast Only Plot

Forecasts Plot

X = 21793 Date_of_death = Sep2020 Forecast = 1.9319 Date_of_death = Aug2020 Forecast = 1.9794 Date_of_death = Aug2020 Forecast = 1.9794 Date_of_death = Jul2020 Forecast = 1.9769 Date_of_death = Jul2020 Forecast = 1.9769 Date_of_death = Jun2020 Forecast = 2.3243 Date_of_death = Jun2020 Forecast = 2.3243 Date_of_death = May2020 Forecast = 2.1718 Date_of_death = May2020 Forecast = 2.1718 Date_of_death = Apr2020 Forecast = 2.2193 Date_of_death = Apr2020 Forecast = 2.2193 Date_of_death = Mar2020 Forecast = 2.4168 Date_of_death = Mar2020 Forecast = 2.4168 Date_of_death = Feb2020 Forecast = 1.3642 Date_of_death = Feb2020 Forecast = 1.3642 Date_of_death = Jan2020 Forecast = 1.6758 Date_of_death = Jan2020 Forecast = 1.6758 Date_of_death = Dec2019 Forecast = 2.1995 Date_of_death = Dec2019 Forecast = 2.1995 Date_of_death = Nov2019 Forecast = 2.5126 Date_of_death = Nov2019 Forecast = 2.5126 Date_of_death = Oct2019 Forecast = 2.1942 Date_of_death = Oct2019 Forecast = 2.1942 Date_of_death = Sep2019 Forecast = 2.0009 Date_of_death = Sep2019 Forecast = 2.0009 Date_of_death = Aug2019 Forecast = 2.0723 Date_of_death = Aug2019 Forecast = 2.0723 Date_of_death = Jul2019 Forecast = 2.0916 Date_of_death = Jul2019 Forecast = 2.0916 Date_of_death = Jun2019 Forecast = 2.4133 Date_of_death = Jun2019 Forecast = 2.4133 Date_of_death = May2019 Forecast = 2.3323 Date_of_death = May2019 Forecast = 2.3323 Date_of_death = Apr2019 Forecast = 2.4110 Date_of_death = Apr2019 Forecast = 2.4110 Date_of_death = Mar2019 Forecast = 2.5043 Date_of_death = Mar2019 Forecast = 2.5043 Date_of_death = Feb2019 Forecast = 1.4384 Date_of_death = Feb2019 Forecast = 1.4384 Date_of_death = Jan2019 Forecast = 1.7604 Date_of_death = Jan2019 Forecast = 1.7604 Date_of_death = Dec2018 Forecast = 2.3966 Date_of_death = Dec2018 Forecast = 2.3966 Date_of_death = Nov2018 Forecast = 2.7625 Date_of_death = Nov2018 Forecast = 2.7625 Date_of_death = Oct2018 Forecast = 2.3024 Date_of_death = Oct2018 Forecast = 2.3024 Date_of_death = Sep2018 Forecast = 2.1364 Date_of_death = Sep2018 Forecast = 2.1364 Date_of_death = Aug2018 Forecast = 2.0403 Date_of_death = Aug2018 Forecast = 2.0403 Date_of_death = Jul2018 Forecast = 2.1522 Date_of_death = Jul2018 Forecast = 2.1522 Date_of_death = Jun2018 Forecast = 2.5699 Date_of_death = Jun2018 Forecast = 2.5699 Date_of_death = May2018 Forecast = 2.4861 Date_of_death = May2018 Forecast = 2.4861 Date_of_death = Apr2018 Forecast = 2.5708 Date_of_death = Apr2018 Forecast = 2.5708 Date_of_death = Mar2018 Forecast = 2.7142 Date_of_death = Mar2018 Forecast = 2.7142 Date_of_death = Feb2018 Forecast = 1.6137 Date_of_death = Feb2018 Forecast = 1.6137 Date_of_death = Jan2018 Forecast = 1.9794 Date_of_death = Jan2018 Forecast = 1.9794 Date_of_death = Dec2017 Forecast = 2.4180 Date_of_death = Dec2017 Forecast = 2.4180 Date_of_death = Nov2017 Forecast = 2.9045 Date_of_death = Nov2017 Forecast = 2.9045 Date_of_death = Oct2017 Forecast = 2.2815 Date_of_death = Oct2017 Forecast = 2.2815 Date_of_death = Sep2017 Forecast = 2.2254 Date_of_death = Sep2017 Forecast = 2.2254 Date_of_death = Aug2017 Forecast = 2.2480 Date_of_death = Aug2017 Forecast = 2.2480 Date_of_death = Jul2017 Forecast = 2.3114 Date_of_death = Jul2017 Forecast = 2.3114 Date_of_death = Jun2017 Forecast = 2.5763 Date_of_death = Jun2017 Forecast = 2.5763 Date_of_death = May2017 Forecast = 2.5861 Date_of_death = May2017 Forecast = 2.5861 Date_of_death = Apr2017 Forecast = 2.4964 Date_of_death = Apr2017 Forecast = 2.4964 Date_of_death = Mar2017 Forecast = 2.5847 Date_of_death = Mar2017 Forecast = 2.5847 Date_of_death = Feb2017 Forecast = 1.5944 Date_of_death = Feb2017 Forecast = 1.5944 Date_of_death = Jan2017 Forecast = 1.9841 Date_of_death = Jan2017 Forecast = 1.9841 Date_of_death = Dec2016 Forecast = 2.5111 Date_of_death = Dec2016 Forecast = 2.5111 Date_of_death = Nov2016 Forecast = 2.7991 Date_of_death = Nov2016 Forecast = 2.7991 Date_of_death = Oct2016 Forecast = 2.3031 Date_of_death = Oct2016 Forecast = 2.3031 Date_of_death = Sep2016 Forecast = 2.0771 Date_of_death = Sep2016 Forecast = 2.0771 Date_of_death = Aug2016 Forecast = 2.2040 Date_of_death = Aug2016 Forecast = 2.2040 Date_of_death = Jul2016 Forecast = 2.3529 Date_of_death = Jul2016 Forecast = 2.3529 Date_of_death = Jun2016 Forecast = 2.6962 Date_of_death = Jun2016 Forecast = 2.6962 Date_of_death = May2016 Forecast = 2.7278 Date_of_death = May2016 Forecast = 2.7278 Date_of_death = Apr2016 Forecast = 2.6132 Date_of_death = Apr2016 Forecast = 2.6132 Date_of_death = Mar2016 Forecast = 2.6680 Date_of_death = Mar2016 Forecast = 2.6680 Date_of_death = Feb2016 Forecast = 1.4933 Date_of_death = Feb2016 Forecast = 1.4933 Date_of_death = Jan2016 Forecast = 1.8384 Date_of_death = Jan2016 Forecast = 1.8384 Date_of_death = Dec2015 Forecast = 2.5127 Date_of_death = Dec2015 Forecast = 2.5127 Date_of_death = Nov2015 Forecast = 2.8602 Date_of_death = Nov2015 Forecast = 2.8602 Date_of_death = Oct2015 Forecast = 2.4183 Date_of_death = Oct2015 Forecast = 2.4183 Date_of_death = Sep2015 Forecast = 2.2399 Date_of_death = Sep2015 Forecast = 2.2399 Date_of_death = Aug2015 Forecast = 2.2238 Date_of_death = Aug2015 Forecast = 2.2238 Date_of_death = Jul2015 Forecast = 2.3431 Date_of_death = Jul2015 Forecast = 2.3431 Date_of_death = Jun2015 Forecast = 2.5813 Date_of_death = Jun2015 Forecast = 2.5813 Date_of_death = May2015 Forecast = 2.5520 Date_of_death = May2015 Forecast = 2.5520 Date_of_death = Apr2015 Forecast = 2.3861 Date_of_death = Apr2015 Forecast = 2.3861 Date_of_death = Mar2015 Forecast = 2.6824 Date_of_death = Mar2015 Forecast = 2.6824 Date_of_death = Feb2015 Forecast = 1.4896 Date_of_death = Feb2015 Forecast = 1.4896 Date_of_death = Jan2015 Forecast = 1.9222 Date_of_death = Jan2015 Forecast = 1.9222 Date_of_death = Dec2014 Forecast = 2.6651 Date_of_death = Dec2014 Forecast = 2.6651 Date_of_death = Nov2014 Forecast = 2.9668 Date_of_death = Nov2014 Forecast = 2.9668 Date_of_death = Oct2014 Forecast = 2.4739 Date_of_death = Oct2014 Forecast = 2.4739 Date_of_death = Sep2014 Forecast = 2.0797 Date_of_death = Sep2014 Forecast = 2.0797 Date_of_death = Aug2014 Forecast = 2.0417 Date_of_death = Aug2014 Forecast = 2.0417 Date_of_death = Jul2014 Forecast = 2.3314 Date_of_death = Jul2014 Forecast = 2.3314 Date_of_death = Jun2014 Forecast = 2.5350 Date_of_death = Jun2014 Forecast = 2.5350 Date_of_death = May2014 Forecast = 2.7073 Date_of_death = May2014 Forecast = 2.7073 Date_of_death = Apr2014 Forecast = 2.5004 Date_of_death = Apr2014 Forecast = 2.5004 Date_of_death = Mar2014 Forecast = 2.6157 Date_of_death = Mar2014 Forecast = 2.6157 Date_of_death = Feb2014 Forecast = 1.5525 Date_of_death = Feb2014 Forecast = 1.5525 Date_of_death = Jan2014 Forecast = 2.0212 Date_of_death = Jan2014 Forecast = 2.0212 Date_of_death = Dec2013 Forecast = 2.7246 Date_of_death = Dec2013 Forecast = 2.7246 Date_of_death = Nov2013 Forecast = 2.8560 Date_of_death = Nov2013 Forecast = 2.8560 Date_of_death = Oct2013 Forecast = 2.2846 Date_of_death = Oct2013 Forecast = 2.2846 Date_of_death = Sep2013 Forecast = 1.8591 Date_of_death = Sep2013 Forecast = 1.8591 Date_of_death = Aug2013 Forecast = 2.1073 Date_of_death = Aug2013 Forecast = 2.1073 Date_of_death = Jul2013 Forecast = 2.4386 Date_of_death = Jul2013 Forecast = 2.4386 Date_of_death = Jun2013 Forecast = 2.4075 Date_of_death = Jun2013 Forecast = 2.4075 Date_of_death = May2013 Forecast = 2.5323 Date_of_death = May2013 Forecast = 2.5323 Date_of_death = Apr2013 Forecast = 2.2674 Date_of_death = Apr2013 Forecast = 2.2674 Date_of_death = Mar2013 Forecast = 2.3890 Date_of_death = Mar2013 Forecast = 2.3890 Date_of_death = Feb2013 Forecast = 1.3744 Date_of_death = Feb2013 Forecast = 1.3744 Date_of_death = Jan2013 Forecast = 1.7558 Date_of_death = Jan2013 Forecast = 1.7558 Date_of_death = Dec2012 Forecast = 2.6985 Date_of_death = Dec2012 Forecast = 2.6985 Date_of_death = Nov2012 Forecast = 2.7923 Date_of_death = Nov2012 Forecast = 2.7923 Date_of_death = Oct2012 Forecast = 2.3119 Date_of_death = Oct2012 Forecast = 2.3119 Date_of_death = Sep2012 Forecast = 1.9081 Date_of_death = Sep2012 Forecast = 1.9081 Date_of_death = Aug2012 Forecast = 2.1758 Date_of_death = Aug2012 Forecast = 2.1758 Date_of_death = Jul2012 Forecast = 2.5333 Date_of_death = Jul2012 Forecast = 2.5333 Date_of_death = Jun2012 Forecast = 2.5582 Date_of_death = Jun2012 Forecast = 2.5582 Date_of_death = May2012 Forecast = 2.4451 Date_of_death = May2012 Forecast = 2.4451 Date_of_death = Apr2012 Forecast = 2.4685 Date_of_death = Apr2012 Forecast = 2.4685 Date_of_death = Mar2012 Forecast = 2.6623 Date_of_death = Mar2012 Forecast = 2.6623 Date_of_death = Feb2012 Forecast = 1.5874 Date_of_death = Feb2012 Forecast = 1.5874 Date_of_death = Jan2012 Forecast = 1.7169 Date_of_death = Jan2012 Forecast = 1.7169 Date_of_death = Dec2011 Forecast = 3.0213 Date_of_death = Dec2011 Forecast = 3.0213 Date_of_death = Nov2011 Forecast = 3.1464 Date_of_death = Nov2011 Forecast = 3.1464 Date_of_death = Oct2011 Forecast = 2.2975 Date_of_death = Oct2011 Forecast = 2.2975 Date_of_death = Sep2011 Forecast = 2.1328 Date_of_death = Sep2011 Forecast = 2.1328 Date_of_death = Aug2011 Forecast = 2.0984 Date_of_death = Aug2011 Forecast = 2.0984 Date_of_death = Jul2011 Forecast = 2.6528 Date_of_death = Jul2011 Forecast = 2.6528 Date_of_death = Jun2011 Forecast = 2.4422 Date_of_death = Jun2011 Forecast = 2.4422 Date_of_death = May2011 Forecast = 2.6498 Date_of_death = May2011 Forecast = 2.6498 Date_of_death = Apr2011 Forecast = 2.4565 Date_of_death = Apr2011 Forecast = 2.4565 Date_of_death = Mar2011 Forecast = 2.8498 Date_of_death = Mar2011 Forecast = 2.8498 Date_of_death = Feb2011 Forecast = 1.6777 Date_of_death = Feb2011 Forecast = 1.6777 Date_of_death = Jan2011 Forecast = 1.7635 Date_of_death = Jan2011 Forecast = 1.7635 Date_of_death = Dec2010 Forecast = 2.9443 Date_of_death = Dec2010 Forecast = 2.9443 Date_of_death = Nov2010 Forecast = 3.2627 Date_of_death = Nov2010 Forecast = 3.2627 Date_of_death = Oct2010 Forecast = 2.1301 Date_of_death = Oct2010 Forecast = 2.1301 Date_of_death = Sep2010 Forecast = 2.1300 Date_of_death = Sep2010 Forecast = 2.1300 Date_of_death = Aug2010 Forecast = 2.2481 Date_of_death = Aug2010 Forecast = 2.2481 Date_of_death = Jul2010 Forecast = 2.7585 Date_of_death = Jul2010 Forecast = 2.7585 Date_of_death = Jun2010 Forecast = 2.5659 Date_of_death = Jun2010 Forecast = 2.5659 Date_of_death = May2010 Forecast = 2.6584 Date_of_death = May2010 Forecast = 2.6584 Date_of_death = Apr2010 Forecast = 2.6844 Date_of_death = Apr2010 Forecast = 2.6844 Date_of_death = Mar2010 Forecast = 3.1179 Date_of_death = Mar2010 Forecast = 3.1179 Date_of_death = Feb2010 Forecast = 1.8305 Date_of_death = Feb2010 Forecast = 1.8305 Date_of_death = Jan2010 Forecast = 1.9507 Date_of_death = Jan2010 Forecast = 1.9507 Date_of_death = Dec2009 Forecast = 2.9331 Date_of_death = Dec2009 Forecast = 2.9331 Date_of_death = Nov2009 Forecast = 3.6396 Date_of_death = Nov2009 Forecast = 3.6396 Date_of_death = Oct2009 Forecast = 2.4391 Date_of_death = Oct2009 Forecast = 2.4391 Date_of_death = Sep2009 Forecast = 2.3328 Date_of_death = Sep2009 Forecast = 2.3328 Date_of_death = Aug2009 Forecast = 2.1930 Date_of_death = Aug2009 Forecast = 2.1930 Date_of_death = Jul2009 Forecast = 2.9855 Date_of_death = Jul2009 Forecast = 2.9855 Date_of_death = Jun2009 Forecast = 2.5171 Date_of_death = Jun2009 Forecast = 2.5171 Date_of_death = May2009 Forecast = 2.6054 Date_of_death = May2009 Forecast = 2.6054 Date_of_death = Apr2009 Forecast = 2.5819 Date_of_death = Apr2009 Forecast = 2.5819 Date_of_death = Mar2009 Forecast = 3.3963 Date_of_death = Mar2009 Forecast = 3.3963 Date_of_death = Feb2009 Forecast = 1.7082 Date_of_death = Feb2009 Forecast = 1.7082 Date_of_death = Jan2009 Forecast = 1.9351 Date_of_death = Jan2009 Forecast = 1.9351 Date_of_death = Dec2008 Forecast = 3.2164 Date_of_death = Dec2008 Forecast = 3.2164 Date_of_death = Nov2008 Forecast = 3.5844 Date_of_death = Nov2008 Forecast = 3.5844 Date_of_death = Oct2008 Forecast = 2.4653 Date_of_death = Oct2008 Forecast = 2.4653 Date_of_death = Sep2008 Forecast = 2.0608 Date_of_death = Sep2008 Forecast = 2.0608 Date_of_death = Aug2008 Forecast = 2.1873 Date_of_death = Aug2008 Forecast = 2.1873 Date_of_death = Jul2008 Forecast = 2.7932 Date_of_death = Jul2008 Forecast = 2.7932 Date_of_death = Jun2008 Forecast = 2.6918 Date_of_death = Jun2008 Forecast = 2.6918 Date_of_death = May2008 Forecast = 2.8432 Date_of_death = May2008 Forecast = 2.8432 Date_of_death = Apr2008 Forecast = 2.4442 Date_of_death = Apr2008 Forecast = 2.4442 Date_of_death = Mar2008 Forecast = 3.5920 Date_of_death = Mar2008 Forecast = 3.5920 Date_of_death = Feb2008 Forecast = 1.7119 Date_of_death = Feb2008 Forecast = 1.7119 Date_of_death = Jan2008 Forecast = 1.9660 Date_of_death = Jan2008 Forecast = 1.9660 Date_of_death = Dec2007 Forecast = 3.0956 Date_of_death = Dec2007 Forecast = 3.0956 Date_of_death = Nov2007 Forecast = 3.5164 Date_of_death = Nov2007 Forecast = 3.5164 Date_of_death = Oct2007 Forecast = 2.2049 Date_of_death = Oct2007 Forecast = 2.2049 Date_of_death = Sep2007 Forecast = 2.2200 Date_of_death = Sep2007 Forecast = 2.2200 Date_of_death = Aug2007 Forecast = 2.3806 Date_of_death = Aug2007 Forecast = 2.3806 Date_of_death = Jul2007 Forecast = 3.1232 Date_of_death = Jul2007 Forecast = 3.1232 Date_of_death = Jun2007 Forecast = 2.6897 Date_of_death = Jun2007 Forecast = 2.6897 Date_of_death = May2007 Forecast = 2.9885 Date_of_death = May2007 Forecast = 2.9885 Date_of_death = Apr2007 Forecast = 2.2494 Date_of_death = Apr2007 Forecast = 2.2494 Date_of_death = Mar2007 Forecast = 3.5277 Date_of_death = Mar2007 Forecast = 3.5277 Date_of_death = Feb2007 Forecast = 1.6650 Date_of_death = Feb2007 Forecast = 1.6650 Date_of_death = Jan2007 Forecast = 2.1360 Date_of_death = Jan2007 Forecast = 2.1360 Date_of_death = Dec2006 Forecast = 2.9554 Date_of_death = Dec2006 Forecast = 2.9554 Date_of_death = Nov2006 Forecast = 3.4473 Date_of_death = Nov2006 Forecast = 3.4473 Date_of_death = Oct2006 Forecast = 2.4644 Date_of_death = Oct2006 Forecast = 2.4644 Date_of_death = Sep2006 Forecast = 1.9376 Date_of_death = Sep2006 Forecast = 1.9376 Date_of_death = Aug2006 Forecast = 2.0787 Date_of_death = Aug2006 Forecast = 2.0787 Date_of_death = Jul2006 Forecast = 3.2594 Date_of_death = Jul2006 Forecast = 3.2594 Date_of_death = Jun2006 Forecast = 2.7676 Date_of_death = Jun2006 Forecast = 2.7676 Date_of_death = May2006 Forecast = 3.2953 Date_of_death = May2006 Forecast = 3.2953 Date_of_death = Apr2006 Forecast = 2.4800 Date_of_death = Apr2006 Forecast = 2.4800 Date_of_death = Mar2006 Forecast = 4.0180 Date_of_death = Mar2006 Forecast = 4.0180 Date_of_death = Feb2006 Forecast = 1.6808 Date_of_death = Feb2006 Forecast = 1.6808 Date_of_death = Jan2006 Forecast = 2.4309 Date_of_death = Jan2006 Forecast = 2.4309 Date_of_death = Dec2005 Forecast = 3.0317 Date_of_death = Dec2005 Forecast = 3.0317 Date_of_death = Nov2005 Forecast = 3.4259 Date_of_death = Nov2005 Forecast = 3.4259 Date_of_death = Oct2005 Forecast = 2.2063 Date_of_death = Oct2005 Forecast = 2.2063 Date_of_death = Sep2005 Forecast = 2.2199 Date_of_death = Sep2005 Forecast = 2.2199 Date_of_death = Aug2005 Forecast = 1.7954 Date_of_death = Aug2005 Forecast = 1.7954 Date_of_death = Jul2005 Forecast = 3.1860 Date_of_death = Jul2005 Forecast = 3.1860 Date_of_death = Jun2005 Forecast = 2.9967 Date_of_death = Jun2005 Forecast = 2.9967 Date_of_death = May2005 Forecast = 3.6147 Date_of_death = May2005 Forecast = 3.6147 Date_of_death = Apr2005 Forecast = 2.1945 Date_of_death = Apr2005 Forecast = 2.1945 Date_of_death = Mar2005 Forecast = 3.9941 Date_of_death = Mar2005 Forecast = 3.9941 Date_of_death = Feb2005 Forecast = 1.8030 Date_of_death = Feb2005 Forecast = 1.8030 Date_of_death = Jan2005 Forecast = 2.7718 Date_of_death = Jan2005 Forecast = 2.7718 Date_of_death = Dec2004 Forecast = 3.0223 Date_of_death = Dec2004 Forecast = 3.0223 Date_of_death = Nov2004 Forecast = 3.2656 Date_of_death = Nov2004 Forecast = 3.2656 Date_of_death = Oct2004 Forecast = 2.5304 Date_of_death = Oct2004 Forecast = 2.5304 Date_of_death = Sep2004 Forecast = 1.7595 Date_of_death = Sep2004 Forecast = 1.7595 Date_of_death = Aug2004 Forecast = 1.2330 Date_of_death = Aug2004 Forecast = 1.2330 Date_of_death = Jul2004 Forecast = 2.9724 Date_of_death = Jul2004 Forecast = 2.9724 Date_of_death = Jun2004 Forecast = 2.7090 Date_of_death = Jun2004 Forecast = 2.7090 Date_of_death = May2004 Forecast = 3.4523 Date_of_death = May2004 Forecast = 3.4523 Date_of_death = Apr2004 Forecast = 1.9406 Date_of_death = Apr2004 Forecast = 1.9406 Date_of_death = Mar2004 Forecast = 3.9382 Date_of_death = Mar2004 Forecast = 3.9382 Date_of_death = Feb2004 Forecast = 1.9456 Date_of_death = Feb2004 Forecast = 1.9456 Date_of_death = Jan2004 Forecast = 3.3011 Date_of_death = Jan2004 Forecast = 3.3011 Date_of_death = Dec2003 Forecast = 3.6535 Date_of_death = Dec2003 Forecast = 3.6535 Date_of_death = Nov2003 Forecast = 2.9782 Date_of_death = Nov2003 Forecast = 2.9782 Date_of_death = Oct2003 Forecast = 2.9927 Date_of_death = Oct2003 Forecast = 2.9927 Date_of_death = Sep2003 Forecast = 1.9999 Date_of_death = Sep2003 Forecast = 1.9999 Date_of_death = Aug2003 Forecast = 1.3357 Date_of_death = Aug2003 Forecast = 1.3357 Date_of_death = Jul2003 Forecast = 3.0023 Date_of_death = Jul2003 Forecast = 3.0023 Date_of_death = Jun2003 Forecast = 2.3225 Date_of_death = Jun2003 Forecast = 2.3225 Date_of_death = May2003 Forecast = 3.3166 Date_of_death = May2003 Forecast = 3.3166 Date_of_death = Apr2003 Forecast = 2.3263 Date_of_death = Apr2003 Forecast = 2.3263 Date_of_death = Mar2003 Forecast = 3.9925 Date_of_death = Mar2003 Forecast = 3.9925 Date_of_death = Feb2003 Forecast = 2.3360 Date_of_death = Feb2003 Forecast = 2.3360 Date_of_death = Jan2003 Forecast = 2.9982 Date_of_death = Jan2003 Forecast = 2.9982 Date_of_death = Dec2002 Forecast = 4.0036 Date_of_death = Dec2002 Forecast = 4.0036 Date_of_death = Nov2002 Forecast = 2.4951 Date_of_death = Nov2002 Forecast = 2.4951 Date_of_death = Oct2002 Forecast = 2.4860 Date_of_death = Oct2002 Forecast = 2.4860 Date_of_death = Sep2002 Forecast = 2.4937 Date_of_death = Sep2002 Forecast = 2.4937 Date_of_death = Aug2002 Forecast = 0.9875 Date_of_death = Aug2002 Forecast = 0.9875 Date_of_death = Jul2002 Forecast = 2.4781 Date_of_death = Jul2002 Forecast = 2.4781 Date_of_death = Jun2002 Forecast = 2.9883 Date_of_death = Jun2002 Forecast = 2.9883 Date_of_death = May2002 Forecast = 3.9993 Date_of_death = May2002 Forecast = 3.9993 Date_of_death = Apr2002 Forecast = 3.0109 Date_of_death = Apr2002 Forecast = 3.0109 Date_of_death = Mar2002 Forecast = 4.0115 Date_of_death = Mar2002 Forecast = 4.0115 Date_of_death = Feb2002 Forecast = 1.4976 Date_of_death = Feb2002 Forecast = 1.4976 Date_of_death = Jan2002 Forecast = 1.9912 Date_of_death = Jan2002 Forecast = 1.9912 Date_of_death = Dec2001 Forecast = 3.9903 Date_of_death = Dec2001 Forecast = 3.9903 Date_of_death = Nov2001 Forecast = 4.0000 Date_of_death = Nov2001 Forecast = 4.0000 Date_of_death = Oct2001 Forecast = 4.0106 Date_of_death = Oct2001 Forecast = 4.0106 Date_of_death = Sep2001 Forecast = 1.0009 Date_of_death = Sep2001 Forecast = 1.0009 Date_of_death = Aug2001 Forecast = 1.0009 Date_of_death = Aug2001 Forecast = 1.0009 Date_of_death = Jul2001 Forecast = 0.9903 Date_of_death = Jul2001 Forecast = 0.9903 Date_of_death = Jun2001 Forecast = 3.9965 Date_of_death = Jun2001 Forecast = 3.9965 Date_of_death = May2001 Forecast = 3.9962 Date_of_death = May2001 Forecast = 3.9962 Date_of_death = Apr2001 Forecast = 4.0030 Date_of_death = Apr2001 Forecast = 4.0030 Date_of_death = Mar2001 Forecast = 4.0033 Date_of_death = Mar2001 Forecast = 4.0033 Date_of_death = Feb2001 Forecast = 1.0000 Date_of_death = Sep2019 incidents = 1.0000 Date_of_death = Aug2019 incidents = 1.0000 Date_of_death = Jul2019 incidents = 1.0000 Date_of_death = Jun2019 incidents = 2.0000 Date_of_death = May2019 incidents = 1.0000 Date_of_death = Apr2019 incidents = 1.0000 Date_of_death = Mar2019 incidents = 3.0000 Date_of_death = Feb2019 incidents = 2.0000 Date_of_death = Jan2019 incidents = 2.0000 Date_of_death = Dec2018 incidents = 1.0000 Date_of_death = Nov2018 incidents = 1.0000 Date_of_death = Oct2018 incidents = 3.0000 Date_of_death = Sep2018 incidents = 2.0000 Date_of_death = Aug2018 incidents = 4.0000 Date_of_death = Jul2018 incidents = 2.0000 Date_of_death = Jun2018 incidents = 1.0000 Date_of_death = May2018 incidents = 1.0000 Date_of_death = Apr2018 incidents = 1.0000 Date_of_death = Mar2018 incidents = 1.0000 Date_of_death = Feb2018 incidents = 1.0000 Date_of_death = Jan2018 incidents = 1.0000 Date_of_death = Dec2017 incidents = 4.0000 Date_of_death = Nov2017 incidents = 2.0000 Date_of_death = Oct2017 incidents = 4.0000 Date_of_death = Sep2017 incidents = 2.0000 Date_of_death = Aug2017 incidents = 1.0000 Date_of_death = Jul2017 incidents = 2.0000 Date_of_death = Jun2017 incidents = 4.0000 Date_of_death = May2017 incidents = 2.0000 Date_of_death = Apr2017 incidents = 4.0000 Date_of_death = Mar2017 incidents = 4.0000 Date_of_death = Feb2017 incidents = 1.0000 Date_of_death = Jan2017 incidents = 1.0000 Date_of_death = Dec2016 incidents = 1.0000 Date_of_death = Nov2016 incidents = 4.0000 Date_of_death = Oct2016 incidents = 2.0000 Date_of_death = Sep2016 incidents = 4.0000 Date_of_death = Aug2016 incidents = 2.0000 Date_of_death = Jul2016 incidents = 1.0000 Date_of_death = Jun2016 incidents = 1.0000 Date_of_death = May2016 incidents = 1.0000 Date_of_death = Apr2016 incidents = 2.0000 Date_of_death = Mar2016 incidents = 3.0000 Date_of_death = Feb2016 incidents = 4.0000 Date_of_death = Jan2016 incidents = 4.0000 Date_of_death = Dec2015 incidents = 2.0000 Date_of_death = Nov2015 incidents = 2.0000 Date_of_death = Oct2015 incidents = 1.0000 Date_of_death = Sep2015 incidents = 1.0000 Date_of_death = Aug2015 incidents = 3.0000 Date_of_death = Jul2015 incidents = 3.0000 Date_of_death = Jun2015 incidents = 4.0000 Date_of_death = May2015 incidents = 4.0000 Date_of_death = Apr2015 incidents = 4.0000 Date_of_death = Mar2015 incidents = 1.0000 Date_of_death = Feb2015 incidents = 1.0000 Date_of_death = Jan2015 incidents = 1.0000 Date_of_death = Dec2014 incidents = 1.0000 Date_of_death = Nov2014 incidents = 2.0000 Date_of_death = Oct2014 incidents = 2.0000 Date_of_death = Sep2014 incidents = 4.0000 Date_of_death = Aug2014 incidents = 4.0000 Date_of_death = Jul2014 incidents = 2.0000 Date_of_death = Jun2014 incidents = 3.0000 Date_of_death = May2014 incidents = 1.0000 Date_of_death = Apr2014 incidents = 2.0000 Date_of_death = Mar2014 incidents = 4.0000 Date_of_death = Feb2014 incidents = 1.0000 Date_of_death = Jan2014 incidents = 1.0000 Date_of_death = Dec2013 incidents = 2.0000 Date_of_death = Nov2013 incidents = 4.0000 Date_of_death = Oct2013 incidents = 4.0000 Date_of_death = Sep2013 incidents = 4.0000 Date_of_death = Aug2013 incidents = 1.0000 Date_of_death = Jul2013 incidents = 1.0000 Date_of_death = Jun2013 incidents = 4.0000 Date_of_death = May2013 incidents = 4.0000 Date_of_death = Apr2013 incidents = 4.0000 Date_of_death = Mar2013 incidents = 4.0000 Date_of_death = Feb2013 incidents = 2.0000 Date_of_death = Jan2013 incidents = 3.0000 Date_of_death = Dec2012 incidents = 1.0000 Date_of_death = Nov2012 incidents = 2.0000 Date_of_death = Oct2012 incidents = 1.0000 Date_of_death = Sep2012 incidents = 1.0000 Date_of_death = Aug2012 incidents = 1.0000 Date_of_death = Jul2012 incidents = 1.0000 Date_of_death = Jun2012 incidents = 1.0000 Date_of_death = May2012 incidents = 4.0000 Date_of_death = Apr2012 incidents = 1.0000 Date_of_death = Mar2012 incidents = 1.0000 Date_of_death = Feb2012 incidents = 1.0000 Date_of_death = Jan2012 incidents = 4.0000 Date_of_death = Dec2011 incidents = 1.0000 Date_of_death = Nov2011 incidents = 1.0000 Date_of_death = Oct2011 incidents = 4.0000 Date_of_death = Sep2011 incidents = 1.0000 Date_of_death = Aug2011 incidents = 4.0000 Date_of_death = Jul2011 incidents = 2.0000 Date_of_death = Jun2011 incidents = 4.0000 Date_of_death = May2011 incidents = 1.0000 Date_of_death = Apr2011 incidents = 3.0000 Date_of_death = Mar2011 incidents = 1.0000 Date_of_death = Feb2011 incidents = 1.0000 Date_of_death = Jan2011 incidents = 2.0000 Date_of_death = Dec2010 incidents = 4.0000 Date_of_death = Nov2010 incidents = 2.0000 Date_of_death = Oct2010 incidents = 4.0000 Date_of_death = Sep2010 incidents = 2.0000 Date_of_death = Aug2010 incidents = 1.0000 Date_of_death = Jul2010 incidents = 2.0000 Date_of_death = Jun2010 incidents = 2.0000 Date_of_death = May2010 incidents = 3.0000 Date_of_death = Apr2010 incidents = 1.0000 Date_of_death = Mar2010 incidents = 1.0000 Date_of_death = Feb2010 incidents = 1.0000 Date_of_death = Jan2010 incidents = 1.0000 Date_of_death = Dec2009 incidents = 4.0000 Date_of_death = Nov2009 incidents = 1.0000 Date_of_death = Oct2009 incidents = 1.0000 Date_of_death = Sep2009 incidents = 2.0000 Date_of_death = Aug2009 incidents = 4.0000 Date_of_death = Jul2009 incidents = 2.0000 Date_of_death = Jun2009 incidents = 4.0000 Date_of_death = May2009 incidents = 4.0000 Date_of_death = Apr2009 incidents = 4.0000 Date_of_death = Mar2009 incidents = 1.0000 Date_of_death = Feb2009 incidents = 3.0000 Date_of_death = Jan2009 incidents = 2.0000 Date_of_death = Dec2008 incidents = 1.0000 Date_of_death = Nov2008 incidents = 4.0000 Date_of_death = Oct2008 incidents = 2.0000 Date_of_death = Sep2008 incidents = 4.0000 Date_of_death = Aug2008 incidents = 2.0000 Date_of_death = Jul2008 incidents = 4.0000 Date_of_death = Jun2008 incidents = 1.0000 Date_of_death = May2008 incidents = 1.0000 Date_of_death = Apr2008 incidents = 4.0000 Date_of_death = Mar2008 incidents = 2.0000 Date_of_death = Feb2008 incidents = 2.0000 Date_of_death = Jan2008 incidents = 2.0000 Date_of_death = Dec2007 incidents = 4.0000 Date_of_death = Nov2007 incidents = 4.0000 Date_of_death = Oct2007 incidents = 4.0000 Date_of_death = Sep2007 incidents = 1.0000 Date_of_death = Aug2007 incidents = 1.0000 Date_of_death = Jul2007 incidents = 1.0000 Date_of_death = Jun2007 incidents = 3.0000 Date_of_death = May2007 incidents = 2.0000 Date_of_death = Apr2007 incidents = 4.0000 Date_of_death = Mar2007 incidents = 4.0000 Date_of_death = Feb2007 incidents = 2.0000 Date_of_death = Jan2007 incidents = 1.0000 Date_of_death = Dec2006 incidents = 4.0000 Date_of_death = Nov2006 incidents = 4.0000 Date_of_death = Oct2006 incidents = 1.0000 Date_of_death = Sep2006 incidents = 4.0000 Date_of_death = Aug2006 incidents = 4.0000 Date_of_death = Jul2006 incidents = 2.0000 Date_of_death = Jun2006 incidents = 2.0000 Date_of_death = May2006 incidents = 1.0000 Date_of_death = Apr2006 incidents = 1.0000 Date_of_death = Mar2006 incidents = 1.0000 Date_of_death = Feb2006 incidents = 2.0000 Date_of_death = Jan2006 incidents = 1.0000 Date_of_death = Dec2005 incidents = 3.0000 Date_of_death = Nov2005 incidents = 4.0000 Date_of_death = Oct2005 incidents = 4.0000 Date_of_death = Sep2005 incidents = 1.0000 Date_of_death = Aug2005 incidents = 4.0000 Date_of_death = Jul2005 incidents = 4.0000 Date_of_death = Jun2005 incidents = 2.0000 Date_of_death = May2005 incidents = 2.0000 Date_of_death = Apr2005 incidents = 4.0000 Date_of_death = Mar2005 incidents = 4.0000 Date_of_death = Feb2005 incidents = 1.0000 Date_of_death = Jan2005 incidents = 1.0000 Date_of_death = Dec2004 incidents = 3.0000 Date_of_death = Nov2004 incidents = 4.0000 Date_of_death = Oct2004 incidents = 1.0000 Date_of_death = Sep2004 incidents = 4.0000 Date_of_death = Aug2004 incidents = 4.0000 Date_of_death = Jul2004 incidents = 4.0000 Date_of_death = Jun2004 incidents = 4.0000 Date_of_death = May2004 incidents = 4.0000 Date_of_death = Apr2004 incidents = 3.0000 Date_of_death = Mar2004 incidents = 4.0000 Date_of_death = Feb2004 incidents = 1.0000 Date_of_death = Jan2004 incidents = 1.0000 Date_of_death = Dec2003 incidents = 1.0000 Date_of_death = Nov2003 incidents = 4.0000 Date_of_death = Oct2003 incidents = 1.0000 Date_of_death = Sep2003 incidents = 1.0000 Date_of_death = Aug2003 incidents = 1.0000 Date_of_death = Jul2003 incidents = 3.0000 Date_of_death = Jun2003 incidents = 4.0000 Date_of_death = May2003 incidents = 4.0000 Date_of_death = Apr2003 incidents = 1.0000 Date_of_death = Mar2003 incidents = 4.0000 Date_of_death = Feb2003 incidents = 1.0000 Date_of_death = Jan2003 incidents = 4.0000 Date_of_death = Dec2002 incidents = 3.0000 Date_of_death = Nov2002 incidents = 4.0000 Date_of_death = Oct2002 incidents = 4.0000 Date_of_death = Sep2002 incidents = 1.0000 Date_of_death = Aug2002 incidents = 2.0000 Date_of_death = Jul2002 incidents = 4.0000 Date_of_death = Jun2002 incidents = 1.0000 Date_of_death = May2002 incidents = 2.0000 Date_of_death = Apr2002 incidents = 1.0000 Date_of_death = Mar2002 incidents = 4.0000 Date_of_death = Feb2002 incidents = 4.0000 Date_of_death = Jan2002 incidents = 4.0000 Date_of_death = Dec2001 incidents = 4.0000 Date_of_death = Nov2001 incidents = 1.0000 Date_of_death = Oct2001 incidents = 1.0000 Date_of_death = Sep2001 incidents = 4.0000 Date_of_death = Aug2001 incidents = 1.0000 Date_of_death = Jul2001 incidents = 4.0000 Date_of_death = Jun2001 incidents = 2.0000 Date_of_death = May2001 incidents = 4.0000 Date_of_death = Apr2001 incidents = 2.0000 Date_of_death = Mar2001 incidents = 4.0000 Date_of_death = Feb2001 incidents = 2.0000 Date_of_death = Sep2020 Upper 95% = 4.5329 Lower 95% = -0.6691 Date_of_death = Aug2020 Upper 95% = 4.5799 Lower 95% = -0.6212 Date_of_death = Aug2020 Upper 95% = 4.5799 Lower 95% = -0.6212 Date_of_death = Jul2020 Upper 95% = 4.5770 Lower 95% = -0.6232 Date_of_death = Jul2020 Upper 95% = 4.5770 Lower 95% = -0.6232 Date_of_death = Jun2020 Upper 95% = 4.9240 Lower 95% = -0.2753 Date_of_death = Jun2020 Upper 95% = 4.9240 Lower 95% = -0.2753 Date_of_death = May2020 Upper 95% = 4.7710 Lower 95% = -0.4274 Date_of_death = May2020 Upper 95% = 4.7710 Lower 95% = -0.4274 Date_of_death = Apr2020 Upper 95% = 4.8180 Lower 95% = -0.3794 Date_of_death = Apr2020 Upper 95% = 4.8180 Lower 95% = -0.3794 Date_of_death = Mar2020 Upper 95% = 5.0150 Lower 95% = -0.1815 Date_of_death = Mar2020 Upper 95% = 5.0150 Lower 95% = -0.1815 Date_of_death = Feb2020 Upper 95% = 3.9620 Lower 95% = -1.2335 Date_of_death = Feb2020 Upper 95% = 3.9620 Lower 95% = -1.2335 Date_of_death = Jan2020 Upper 95% = 4.2758 Lower 95% = -0.9242 Date_of_death = Jan2020 Upper 95% = 4.2758 Lower 95% = -0.9242 Date_of_death = Dec2019 Upper 95% = 4.7990 Lower 95% = -0.4000 Date_of_death = Dec2019 Upper 95% = 4.7990 Lower 95% = -0.4000 Date_of_death = Nov2019 Upper 95% = 5.1116 Lower 95% = -0.0864 Date_of_death = Nov2019 Upper 95% = 5.1116 Lower 95% = -0.0864 Date_of_death = Oct2019 Upper 95% = 4.7927 Lower 95% = -0.4044
Forecast Plot

County=Cook

Series Span Summary

Estimation Span

County=Cook

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 OCT2019 237 0 1.00000 6.00000 2.85654 1.96271

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 OCT2019 237 0 1.00000 6.00000 2.85654 1.96271

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 3.06877
Level Error Variance 1.15079
Season Error Variance 3.80885

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -491.2
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 988.42
BIC (smaller is better) 998.66
AICC (smaller is better) 988.52
HQIC (smaller is better) 992.55
CAIC (smaller is better) 1001.7
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 3.81662 0.36440 10.47 <.0001
Level Error Variance 0.00098475 0.0023703 0.42 0.6778
Season Error Variance 4.033745E-8 0.00002663 0.00 0.9988

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 4.58835
Root Mean Squared Error 2.14204
Mean Absolute Percentage Error 89.25113
Maximum Percent Error 83.33333
R-Square -0.20709
Adjusted R-Square -0.21796
Random Walk R-Square 0.33433
Amemiya's Adjusted R-Square -0.23971

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 8.74 0.0031
Level 1 156.71 <.0001
Season 11 11.05 0.4393

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.089934955 0.2468335

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 4.033745E-8

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error		 Chi-Square DF Pr > ChiSq
107 DEC2008 Additive Outlier 4.17065 2.011465 4.30 1 0.0381
117 OCT2009 Additive Outlier 4.06424 2.0088385 4.09 1 0.0431

Residual Diagnostics Panel

Prediction Error = 7.1904 Percent = 0.0317 Prediction Error = 7.1122 Percent = 0.0406 Prediction Error = 7.1122 Percent = 0.0406 Prediction Error = 7.0339 Percent = 0.0517 Prediction Error = 7.0339 Percent = 0.0517 Prediction Error = 6.9557 Percent = 0.0653 Prediction Error = 6.9557 Percent = 0.0653 Prediction Error = 6.8775 Percent = 0.082 Prediction Error = 6.8775 Percent = 0.082 Prediction Error = 6.7993 Percent = 0.1022 Prediction Error = 6.7993 Percent = 0.1022 Prediction Error = 6.721 Percent = 0.1265 Prediction Error = 6.721 Percent = 0.1265 Prediction Error = 6.6428 Percent = 0.1556 Prediction Error = 6.6428 Percent = 0.1556 Prediction Error = 6.5646 Percent = 0.1901 Prediction Error = 6.5646 Percent = 0.1901 Prediction Error = 6.4863 Percent = 0.2308 Prediction Error = 6.4863 Percent = 0.2308 Prediction Error = 6.4081 Percent = 0.2784 Prediction Error = 6.4081 Percent = 0.2784 Prediction Error = 6.3299 Percent = 0.3336 Prediction Error = 6.3299 Percent = 0.3336 Prediction Error = 6.2517 Percent = 0.3974 Prediction Error = 6.2517 Percent = 0.3974 Prediction Error = 6.1734 Percent = 0.4705 Prediction Error = 6.1734 Percent = 0.4705 Prediction Error = 6.0952 Percent = 0.5537 Prediction Error = 6.0952 Percent = 0.5537 Prediction Error = 6.017 Percent = 0.6478 Prediction Error = 6.017 Percent = 0.6478 Prediction Error = 5.9387 Percent = 0.7536 Prediction Error = 5.9387 Percent = 0.7536 Prediction Error = 5.8605 Percent = 0.8717 Prediction Error = 5.8605 Percent = 0.8717 Prediction Error = 5.7823 Percent = 1.003 Prediction Error = 5.7823 Percent = 1.003 Prediction Error = 5.7041 Percent = 1.1478 Prediction Error = 5.7041 Percent = 1.1478 Prediction Error = 5.6258 Percent = 1.3068 Prediction Error = 5.6258 Percent = 1.3068 Prediction Error = 5.5476 Percent = 1.4804 Prediction Error = 5.5476 Percent = 1.4804 Prediction Error = 5.4694 Percent = 1.669 Prediction Error = 5.4694 Percent = 1.669 Prediction Error = 5.3911 Percent = 1.8728 Prediction Error = 5.3911 Percent = 1.8728 Prediction Error = 5.3129 Percent = 2.0919 Prediction Error = 5.3129 Percent = 2.0919 Prediction Error = 5.2347 Percent = 2.3266 Prediction Error = 5.2347 Percent = 2.3266 Prediction Error = 5.1565 Percent = 2.5766 Prediction Error = 5.1565 Percent = 2.5766 Prediction Error = 5.0782 Percent = 2.842 Prediction Error = 5.0782 Percent = 2.842 Prediction Error = 5 Percent = 3.1225 Prediction Error = 5 Percent = 3.1225 Prediction Error = 4.9218 Percent = 3.4177 Prediction Error = 4.9218 Percent = 3.4177 Prediction Error = 4.8435 Percent = 3.7271 Prediction Error = 4.8435 Percent = 3.7271 Prediction Error = 4.7653 Percent = 4.0502 Prediction Error = 4.7653 Percent = 4.0502 Prediction Error = 4.6871 Percent = 4.3861 Prediction Error = 4.6871 Percent = 4.3861 Prediction Error = 4.6089 Percent = 4.7339 Prediction Error = 4.6089 Percent = 4.7339 Prediction Error = 3.983 Percent = 7.7574 Prediction Error = 3.983 Percent = 7.7574 Prediction Error = 3.8266 Percent = 8.4956 Prediction Error = 3.8266 Percent = 8.4956 Prediction Error = 3.7483 Percent = 8.8457 Prediction Error = 3.7483 Percent = 8.8457 Prediction Error = 3.6701 Percent = 9.1788 Prediction Error = 3.6701 Percent = 9.1788 Prediction Error = 3.5919 Percent = 9.4916 Prediction Error = 3.5919 Percent = 9.4916 Prediction Error = 3.5137 Percent = 9.781 Prediction Error = 3.5137 Percent = 9.781 Prediction Error = 3.4354 Percent = 10.044 Prediction Error = 3.4354 Percent = 10.044 Prediction Error = 3.3572 Percent = 10.279 Prediction Error = 3.3572 Percent = 10.279 Prediction Error = 3.279 Percent = 10.483 Prediction Error = 3.279 Percent = 10.483 Prediction Error = 3.2007 Percent = 10.656 Prediction Error = 3.2007 Percent = 10.656 Prediction Error = 3.1225 Percent = 10.796 Prediction Error = 3.1225 Percent = 10.796 Prediction Error = 3.0443 Percent = 10.903 Prediction Error = 3.0443 Percent = 10.903 Prediction Error = 2.9661 Percent = 10.979 Prediction Error = 2.9661 Percent = 10.979 Prediction Error = 2.8878 Percent = 11.024 Prediction Error = 2.8878 Percent = 11.024 Prediction Error = 2.8096 Percent = 11.04 Prediction Error = 2.8096 Percent = 11.04 Prediction Error = 2.7314 Percent = 11.031 Prediction Error = 2.7314 Percent = 11.031 Prediction Error = 2.6531 Percent = 11.001 Prediction Error = 2.6531 Percent = 11.001 Prediction Error = 2.5749 Percent = 10.952 Prediction Error = 2.5749 Percent = 10.952 Prediction Error = 2.4967 Percent = 10.889 Prediction Error = 2.4967 Percent = 10.889 Prediction Error = 2.262 Percent = 10.669 Prediction Error = 2.262 Percent = 10.669 Prediction Error = 2.1838 Percent = 10.603 Prediction Error = 2.1838 Percent = 10.603 Prediction Error = 2.1055 Percent = 10.547 Prediction Error = 2.1055 Percent = 10.547 Prediction Error = 2.0273 Percent = 10.508 Prediction Error = 2.0273 Percent = 10.508 Prediction Error = 1.9491 Percent = 10.49 Prediction Error = 1.9491 Percent = 10.49 Prediction Error = 1.8709 Percent = 10.497 Prediction Error = 1.8709 Percent = 10.497 Prediction Error = 1.7926 Percent = 10.532 Prediction Error = 1.7926 Percent = 10.532 Prediction Error = 1.7144 Percent = 10.599 Prediction Error = 1.7144 Percent = 10.599 Prediction Error = 1.6362 Percent = 10.699 Prediction Error = 1.6362 Percent = 10.699 Prediction Error = 1.5579 Percent = 10.836 Prediction Error = 1.5579 Percent = 10.836 Prediction Error = 1.4797 Percent = 11.011 Prediction Error = 1.4797 Percent = 11.011 Prediction Error = 1.4015 Percent = 11.224 Prediction Error = 1.4015 Percent = 11.224 Prediction Error = 1.3233 Percent = 11.476 Prediction Error = 1.3233 Percent = 11.476 Prediction Error = 1.245 Percent = 11.767 Prediction Error = 1.245 Percent = 11.767 Prediction Error = 1.1668 Percent = 12.096 Prediction Error = 1.1668 Percent = 12.096 Prediction Error = 1.0886 Percent = 12.462 Prediction Error = 1.0886 Percent = 12.462 Prediction Error = 1.0103 Percent = 12.862 Prediction Error = 1.0103 Percent = 12.862 Prediction Error = 0.9321 Percent = 13.296 Prediction Error = 0.9321 Percent = 13.296 Prediction Error = 0.8539 Percent = 13.761 Prediction Error = 0.8539 Percent = 13.761 Prediction Error = 0.7756 Percent = 14.253 Prediction Error = 0.7756 Percent = 14.253 Prediction Error = 0.6974 Percent = 14.769 Prediction Error = 0.6974 Percent = 14.769 Prediction Error = 0.228 Percent = 18.133 Prediction Error = 0.228 Percent = 18.133 Prediction Error = 0.0716 Percent = 19.234 Prediction Error = 0.0716 Percent = 19.234 Prediction Error = -0.007 Percent = 19.757 Prediction Error = -0.007 Percent = 19.757 Prediction Error = -0.085 Percent = 20.253 Prediction Error = -0.085 Percent = 20.253 Prediction Error = -0.163 Percent = 20.718 Prediction Error = -0.163 Percent = 20.718 Prediction Error = -0.241 Percent = 21.146 Prediction Error = -0.241 Percent = 21.146 Prediction Error = -0.32 Percent = 21.534 Prediction Error = -0.32 Percent = 21.534 Prediction Error = -0.398 Percent = 21.878 Prediction Error = -0.398 Percent = 21.878 Prediction Error = -0.476 Percent = 22.174 Prediction Error = -0.476 Percent = 22.174 Prediction Error = -0.554 Percent = 22.419 Prediction Error = -0.554 Percent = 22.419 Prediction Error = -0.632 Percent = 22.612 Prediction Error = -0.632 Percent = 22.612 Prediction Error = -0.711 Percent = 22.752 Prediction Error = -0.711 Percent = 22.752 Prediction Error = -0.789 Percent = 22.838 Prediction Error = -0.789 Percent = 22.838 Prediction Error = -0.867 Percent = 22.87 Prediction Error = -0.867 Percent = 22.87 Prediction Error = -0.945 Percent = 22.848 Prediction Error = -0.945 Percent = 22.848 Prediction Error = -1.024 Percent = 22.774 Prediction Error = -1.024 Percent = 22.774 Prediction Error = -1.102 Percent = 22.649 Prediction Error = -1.102 Percent = 22.649 Prediction Error = -1.18 Percent = 22.475 Prediction Error = -1.18 Percent = 22.475 Prediction Error = -1.258 Percent = 22.253 Prediction Error = -1.258 Percent = 22.253 Prediction Error = -1.337 Percent = 21.985 Prediction Error = -1.337 Percent = 21.985 Prediction Error = -1.415 Percent = 21.674 Prediction Error = -1.415 Percent = 21.674 Prediction Error = -1.493 Percent = 21.322 Prediction Error = -1.493 Percent = 21.322 Prediction Error = -1.571 Percent = 20.93 Prediction Error = -1.571 Percent = 20.93 Prediction Error = -1.649 Percent = 20.501 Prediction Error = -1.649 Percent = 20.501 Prediction Error = -1.728 Percent = 20.035 Prediction Error = -1.728 Percent = 20.035 Prediction Error = -1.806 Percent = 19.536 Prediction Error = -1.806 Percent = 19.536 Prediction Error = -1.884 Percent = 19.005 Prediction Error = -1.884 Percent = 19.005 Prediction Error = -1.962 Percent = 18.443 Prediction Error = -1.962 Percent = 18.443 Prediction Error = -2.041 Percent = 17.853 Prediction Error = -2.041 Percent = 17.853 Prediction Error = -2.119 Percent = 17.237 Prediction Error = -2.119 Percent = 17.237 Prediction Error = -2.197 Percent = 16.596 Prediction Error = -2.197 Percent = 16.596 Prediction Error = -2.353 Percent = 15.254 Prediction Error = -2.353 Percent = 15.254 Prediction Error = -2.745 Percent = 11.69 Prediction Error = -2.745 Percent = 11.69 Prediction Error = -2.979 Percent = 9.5614 Prediction Error = -2.979 Percent = 9.5614 Prediction Error = -3.136 Percent = 8.2139 Prediction Error = -3.136 Percent = 8.2139 Prediction Error = -3.214 Percent = 7.5727 Prediction Error = -3.214 Percent = 7.5727 Prediction Error = -3.292 Percent = 6.9575 Prediction Error = -3.292 Percent = 6.9575 Prediction Error = -3.37 Percent = 6.3708 Prediction Error = -3.37 Percent = 6.3708 Prediction Error = -3.449 Percent = 5.815 Prediction Error = -3.449 Percent = 5.815 Prediction Error = -3.527 Percent = 5.2918 Prediction Error = -3.527 Percent = 5.2918 Prediction Error = -3.605 Percent = 4.8024 Prediction Error = -3.605 Percent = 4.8024 Prediction Error = -3.683 Percent = 4.3476 Prediction Error = -3.683 Percent = 4.3476 Prediction Error = -3.762 Percent = 3.9276 Prediction Error = -3.762 Percent = 3.9276 Prediction Error = -3.84 Percent = 3.5422 Prediction Error = -3.84 Percent = 3.5422 Prediction Error = -3.918 Percent = 3.1907 Prediction Error = -3.918 Percent = 3.1907 Prediction Error = -3.996 Percent = 2.8721 Prediction Error = -3.996 Percent = 2.8721 Prediction Error = -4.075 Percent = 2.5851 Prediction Error = -4.075 Percent = 2.5851 Prediction Error = -4.153 Percent = 2.3278 Prediction Error = -4.153 Percent = 2.3278 Prediction Error = -4.231 Percent = 2.0985 Prediction Error = -4.231 Percent = 2.0985 Prediction Error = -4.309 Percent = 1.8949 Prediction Error = -4.309 Percent = 1.8949 Prediction Error = -4.387 Percent = 1.715 Prediction Error = -4.387 Percent = 1.715 Prediction Error = -4.466 Percent = 1.5564 Prediction Error = -4.466 Percent = 1.5564 Prediction Error = -4.544 Percent = 1.4168 Prediction Error = -4.544 Percent = 1.4168 Prediction Error = -4.622 Percent = 1.2939 Prediction Error = -4.622 Percent = 1.2939 Prediction Error = -4.7 Percent = 1.1857 Prediction Error = -4.7 Percent = 1.1857 Prediction Error = -4.779 Percent = 1.0901 Prediction Error = -4.779 Percent = 1.0901 Prediction Error = -4.857 Percent = 1.005 Prediction Error = -4.857 Percent = 1.005 Prediction Error = -4.935 Percent = 0.9289 Prediction Error = -4.935 Percent = 0.9289 Prediction Error = -5.013 Percent = 0.8602 Prediction Error = -5.013 Percent = 0.8602 Prediction Error = -5.092 Percent = 0.7975 Prediction Error = -5.092 Percent = 0.7975 Prediction Error = -5.17 Percent = 0.7396 Prediction Error = -5.17 Percent = 0.7396 Prediction Error = -5.248 Percent = 0.6857 Prediction Error = -5.248 Percent = 0.6857 Prediction Error = -5.326 Percent = 0.635 Prediction Error = -5.326 Percent = 0.635 Prediction Error = -5.404 Percent = 0.5869 Prediction Error = -5.404 Percent = 0.5869 Prediction Error = -5.483 Percent = 0.541 Prediction Error = -5.483 Percent = 0.541 Prediction Error = -5.561 Percent = 0.4971 Prediction Error = -5.561 Percent = 0.4971 Prediction Error = -5.639 Percent = 0.4549 Prediction Error = -5.639 Percent = 0.4549 Prediction Error = -5.717 Percent = 0.4144 Prediction Error = -5.717 Percent = 0.4144 Prediction Error = -5.796 Percent = 0.3756 Prediction Error = -5.796 Percent = 0.3756 Prediction Error = -5.874 Percent = 0.3387 Prediction Error = -5.874 Percent = 0.3387 Prediction Error = -5.952 Percent = 0.3036 Prediction Error = -5.952 Percent = 0.3036 Prediction Error = -6.03 Percent = 0.2705 Prediction Error = -6.03 Percent = 0.2705 Prediction Error = -6.108 Percent = 0.2394 Prediction Error = -6.108 Percent = 0.2394 Prediction Error = -6.187 Percent = 0.2106 Prediction Error = -6.187 Percent = 0.2106 Prediction Error = -6.265 Percent = 0.1839 Prediction Error = -6.265 Percent = 0.1839 Prediction Error = -6.343 Percent = 0.1595 Prediction Error = -6.343 Percent = 0.1595 Prediction Error = -6.421 Percent = 0.1373 Prediction Error = -6.421 Percent = 0.1373 Prediction Error = -6.5 Percent = 0.1174 Prediction Error = -6.5 Percent = 0.1174 Prediction Error = -6.578 Percent = 0.0996 Prediction Error = -6.578 Percent = 0.0996 Prediction Error = -6.656 Percent = 0.0839 Prediction Error = -6.656 Percent = 0.0839 Prediction Error = -6.734 Percent = 0.0701 Prediction Error = -6.734 Percent = 0.0701 Prediction Error = -6.813 Percent = 0.0581 Prediction Error = -6.813 Percent = 0.0581 Prediction Error = -6.891 Percent = 0.0478 Prediction Error = -6.891 Percent = 0.0478 Prediction Error = -6.969 Percent = 0.0391 Prediction Error = -6.969 Percent = 0.0391 Prediction Error = -7.047 Percent = 0.0317 Prediction Error = -7.047 Percent = 0.0317 Prediction Error = -7.125 Percent = 0.0254 Prediction Error = -7.125 Percent = 0.0254 Prediction Error = -7.204 Percent = 0.0203 Prediction Error = 6.537 Percent = 0.248 Prediction Error = 6.472 Percent = 0.2715 Prediction Error = 6.472 Percent = 0.2715 Prediction Error = 6.407 Percent = 0.2969 Prediction Error = 6.407 Percent = 0.2969 Prediction Error = 6.3421 Percent = 0.3244 Prediction Error = 6.3421 Percent = 0.3244 Prediction Error = 6.2771 Percent = 0.3542 Prediction Error = 6.2771 Percent = 0.3542 Prediction Error = 6.2121 Percent = 0.3863 Prediction Error = 6.2121 Percent = 0.3863 Prediction Error = 6.1471 Percent = 0.4209 Prediction Error = 6.1471 Percent = 0.4209 Prediction Error = 6.0821 Percent = 0.4582 Prediction Error = 6.0821 Percent = 0.4582 Prediction Error = 6.0172 Percent = 0.4984 Prediction Error = 6.0172 Percent = 0.4984 Prediction Error = 5.9522 Percent = 0.5416 Prediction Error = 5.9522 Percent = 0.5416 Prediction Error = 5.8872 Percent = 0.588 Prediction Error = 5.8872 Percent = 0.588 Prediction Error = 5.8222 Percent = 0.6378 Prediction Error = 5.8222 Percent = 0.6378 Prediction Error = 5.7572 Percent = 0.6911 Prediction Error = 5.7572 Percent = 0.6911 Prediction Error = 5.6923 Percent = 0.7482 Prediction Error = 5.6923 Percent = 0.7482 Prediction Error = 5.6273 Percent = 0.8094 Prediction Error = 5.6273 Percent = 0.8094 Prediction Error = 5.5623 Percent = 0.8747 Prediction Error = 5.5623 Percent = 0.8747 Prediction Error = 5.4973 Percent = 0.9444 Prediction Error = 5.4973 Percent = 0.9444 Prediction Error = 5.4324 Percent = 1.0187 Prediction Error = 5.4324 Percent = 1.0187 Prediction Error = 5.3674 Percent = 1.0978 Prediction Error = 5.3674 Percent = 1.0978 Prediction Error = 5.3024 Percent = 1.1821 Prediction Error = 5.3024 Percent = 1.1821 Prediction Error = 5.2374 Percent = 1.2716 Prediction Error = 5.2374 Percent = 1.2716 Prediction Error = 5.1724 Percent = 1.3666 Prediction Error = 5.1724 Percent = 1.3666 Prediction Error = 5.1075 Percent = 1.4675 Prediction Error = 5.1075 Percent = 1.4675 Prediction Error = 5.0425 Percent = 1.5742 Prediction Error = 5.0425 Percent = 1.5742 Prediction Error = 4.9775 Percent = 1.6873 Prediction Error = 4.9775 Percent = 1.6873 Prediction Error = 4.9125 Percent = 1.8067 Prediction Error = 4.9125 Percent = 1.8067 Prediction Error = 4.8476 Percent = 1.9329 Prediction Error = 4.8476 Percent = 1.9329 Prediction Error = 4.7826 Percent = 2.0659 Prediction Error = 4.7826 Percent = 2.0659 Prediction Error = 4.7176 Percent = 2.2061 Prediction Error = 4.7176 Percent = 2.2061 Prediction Error = 4.6526 Percent = 2.3537 Prediction Error = 4.6526 Percent = 2.3537 Prediction Error = 4.5876 Percent = 2.5088 Prediction Error = 4.5876 Percent = 2.5088 Prediction Error = 4.5227 Percent = 2.6717 Prediction Error = 4.5227 Percent = 2.6717 Prediction Error = 4.4577 Percent = 2.8425 Prediction Error = 4.4577 Percent = 2.8425 Prediction Error = 4.3927 Percent = 3.0215 Prediction Error = 4.3927 Percent = 3.0215 Prediction Error = 4.3277 Percent = 3.2088 Prediction Error = 4.3277 Percent = 3.2088 Prediction Error = 4.2627 Percent = 3.4046 Prediction Error = 4.2627 Percent = 3.4046 Prediction Error = 4.1978 Percent = 3.609 Prediction Error = 4.1978 Percent = 3.609 Prediction Error = 4.1328 Percent = 3.8222 Prediction Error = 4.1328 Percent = 3.8222 Prediction Error = 4.0678 Percent = 4.0443 Prediction Error = 4.0678 Percent = 4.0443 Prediction Error = 4.0028 Percent = 4.2753 Prediction Error = 4.0028 Percent = 4.2753 Prediction Error = 3.9379 Percent = 4.5154 Prediction Error = 3.9379 Percent = 4.5154 Prediction Error = 3.8729 Percent = 4.7646 Prediction Error = 3.8729 Percent = 4.7646 Prediction Error = 3.8079 Percent = 5.0229 Prediction Error = 3.8079 Percent = 5.0229 Prediction Error = 3.7429 Percent = 5.2904 Prediction Error = 3.7429 Percent = 5.2904 Prediction Error = 3.6779 Percent = 5.567 Prediction Error = 3.6779 Percent = 5.567 Prediction Error = 3.613 Percent = 5.8527 Prediction Error = 3.613 Percent = 5.8527 Prediction Error = 3.483 Percent = 6.4511 Prediction Error = 3.483 Percent = 6.4511 Prediction Error = 3.3531 Percent = 7.0845 Prediction Error = 3.3531 Percent = 7.0845 Prediction Error = 3.2231 Percent = 7.7516 Prediction Error = 3.2231 Percent = 7.7516 Prediction Error = 3.0931 Percent = 8.4504 Prediction Error = 3.0931 Percent = 8.4504 Prediction Error = 2.9632 Percent = 9.1785 Prediction Error = 2.9632 Percent = 9.1785 Prediction Error = 1.9885 Percent = 15.174 Prediction Error = 1.9885 Percent = 15.174 Prediction Error = 1.7936 Percent = 16.369 Prediction Error = 1.7936 Percent = 16.369 Prediction Error = 1.6636 Percent = 17.138 Prediction Error = 1.6636 Percent = 17.138 Prediction Error = 1.5337 Percent = 17.877 Prediction Error = 1.5337 Percent = 17.877 Prediction Error = 1.4037 Percent = 18.58 Prediction Error = 1.4037 Percent = 18.58 Prediction Error = 1.3387 Percent = 18.916 Prediction Error = 1.3387 Percent = 18.916 Prediction Error = 1.2738 Percent = 19.24 Prediction Error = 1.2738 Percent = 19.24 Prediction Error = 1.2088 Percent = 19.552 Prediction Error = 1.2088 Percent = 19.552 Prediction Error = 1.1438 Percent = 19.85 Prediction Error = 1.1438 Percent = 19.85 Prediction Error = 1.0788 Percent = 20.135 Prediction Error = 1.0788 Percent = 20.135 Prediction Error = 1.0138 Percent = 20.405 Prediction Error = 1.0138 Percent = 20.405 Prediction Error = 0.9489 Percent = 20.659 Prediction Error = 0.9489 Percent = 20.659 Prediction Error = 0.8839 Percent = 20.898 Prediction Error = 0.8839 Percent = 20.898 Prediction Error = 0.8189 Percent = 21.119 Prediction Error = 0.8189 Percent = 21.119 Prediction Error = 0.7539 Percent = 21.324 Prediction Error = 0.7539 Percent = 21.324 Prediction Error = 0.6889 Percent = 21.511 Prediction Error = 0.6889 Percent = 21.511 Prediction Error = 0.624 Percent = 21.679 Prediction Error = 0.624 Percent = 21.679 Prediction Error = 0.559 Percent = 21.829 Prediction Error = 0.559 Percent = 21.829 Prediction Error = 0.494 Percent = 21.96 Prediction Error = 0.494 Percent = 21.96 Prediction Error = 0.429 Percent = 22.071 Prediction Error = 0.429 Percent = 22.071 Prediction Error = 0.3641 Percent = 22.163 Prediction Error = 0.3641 Percent = 22.163 Prediction Error = 0.2991 Percent = 22.234 Prediction Error = 0.2991 Percent = 22.234 Prediction Error = 0.2341 Percent = 22.285 Prediction Error = 0.2341 Percent = 22.285 Prediction Error = 0.1691 Percent = 22.316 Prediction Error = 0.1691 Percent = 22.316 Prediction Error = 0.1041 Percent = 22.326 Prediction Error = 0.1041 Percent = 22.326 Prediction Error = 0.0392 Percent = 22.316 Prediction Error = 0.0392 Percent = 22.316 Prediction Error = -0.026 Percent = 22.285 Prediction Error = -0.026 Percent = 22.285 Prediction Error = -0.091 Percent = 22.234 Prediction Error = -0.091 Percent = 22.234 Prediction Error = -0.156 Percent = 22.163 Prediction Error = -0.156 Percent = 22.163 Prediction Error = -0.221 Percent = 22.071 Prediction Error = -0.221 Percent = 22.071 Prediction Error = -0.286 Percent = 21.96 Prediction Error = -0.286 Percent = 21.96 Prediction Error = -0.351 Percent = 21.829 Prediction Error = -0.351 Percent = 21.829 Prediction Error = -0.416 Percent = 21.679 Prediction Error = -0.416 Percent = 21.679 Prediction Error = -0.481 Percent = 21.511 Prediction Error = -0.481 Percent = 21.511 Prediction Error = -0.546 Percent = 21.324 Prediction Error = -0.546 Percent = 21.324 Prediction Error = -0.611 Percent = 21.119 Prediction Error = -0.611 Percent = 21.119 Prediction Error = -0.676 Percent = 20.898 Prediction Error = -0.676 Percent = 20.898 Prediction Error = -0.741 Percent = 20.659 Prediction Error = -0.741 Percent = 20.659 Prediction Error = -0.806 Percent = 20.405 Prediction Error = -0.806 Percent = 20.405 Prediction Error = -0.871 Percent = 20.135 Prediction Error = -0.871 Percent = 20.135 Prediction Error = -0.936 Percent = 19.85 Prediction Error = -0.936 Percent = 19.85 Prediction Error = -1 Percent = 19.552 Prediction Error = -1 Percent = 19.552 Prediction Error = -1.065 Percent = 19.24 Prediction Error = -1.065 Percent = 19.24 Prediction Error = -1.13 Percent = 18.916 Prediction Error = -1.13 Percent = 18.916 Prediction Error = -1.195 Percent = 18.58 Prediction Error = -1.195 Percent = 18.58 Prediction Error = -1.325 Percent = 17.877 Prediction Error = -1.325 Percent = 17.877 Prediction Error = -1.455 Percent = 17.138 Prediction Error = -1.455 Percent = 17.138 Prediction Error = -2.235 Percent = 12.314 Prediction Error = -2.235 Percent = 12.314 Prediction Error = -2.495 Percent = 10.709 Prediction Error = -2.495 Percent = 10.709 Prediction Error = -2.69 Percent = 9.5525 Prediction Error = -2.69 Percent = 9.5525 Prediction Error = -2.82 Percent = 8.811 Prediction Error = -2.82 Percent = 8.811 Prediction Error = -2.95 Percent = 8.0972 Prediction Error = -2.95 Percent = 8.0972 Prediction Error = -3.08 Percent = 7.4139 Prediction Error = -3.08 Percent = 7.4139 Prediction Error = -3.21 Percent = 6.7635 Prediction Error = -3.21 Percent = 6.7635 Prediction Error = -3.34 Percent = 6.1474 Prediction Error = -3.34 Percent = 6.1474 Prediction Error = -3.405 Percent = 5.8527 Prediction Error = -3.405 Percent = 5.8527 Prediction Error = -3.47 Percent = 5.567 Prediction Error = -3.47 Percent = 5.567 Prediction Error = -3.535 Percent = 5.2904 Prediction Error = -3.535 Percent = 5.2904 Prediction Error = -3.6 Percent = 5.0229 Prediction Error = -3.6 Percent = 5.0229 Prediction Error = -3.665 Percent = 4.7646 Prediction Error = -3.665 Percent = 4.7646 Prediction Error = -3.73 Percent = 4.5154 Prediction Error = -3.73 Percent = 4.5154 Prediction Error = -3.795 Percent = 4.2753 Prediction Error = -3.795 Percent = 4.2753 Prediction Error = -3.86 Percent = 4.0443 Prediction Error = -3.86 Percent = 4.0443 Prediction Error = -3.925 Percent = 3.8222 Prediction Error = -3.925 Percent = 3.8222 Prediction Error = -3.989 Percent = 3.609 Prediction Error = -3.989 Percent = 3.609 Prediction Error = -4.054 Percent = 3.4046 Prediction Error = -4.054 Percent = 3.4046 Prediction Error = -4.119 Percent = 3.2088 Prediction Error = -4.119 Percent = 3.2088 Prediction Error = -4.184 Percent = 3.0215 Prediction Error = -4.184 Percent = 3.0215 Prediction Error = -4.249 Percent = 2.8425 Prediction Error = -4.249 Percent = 2.8425 Prediction Error = -4.314 Percent = 2.6717 Prediction Error = -4.314 Percent = 2.6717 Prediction Error = -4.379 Percent = 2.5088 Prediction Error = -4.379 Percent = 2.5088 Prediction Error = -4.444 Percent = 2.3537 Prediction Error = -4.444 Percent = 2.3537 Prediction Error = -4.509 Percent = 2.2061 Prediction Error = -4.509 Percent = 2.2061 Prediction Error = -4.574 Percent = 2.0659 Prediction Error = -4.574 Percent = 2.0659 Prediction Error = -4.639 Percent = 1.9329 Prediction Error = -4.639 Percent = 1.9329 Prediction Error = -4.704 Percent = 1.8067 Prediction Error = -4.704 Percent = 1.8067 Prediction Error = -4.769 Percent = 1.6873 Prediction Error = -4.769 Percent = 1.6873 Prediction Error = -4.834 Percent = 1.5742 Prediction Error = -4.834 Percent = 1.5742 Prediction Error = -4.899 Percent = 1.4675 Prediction Error = -4.899 Percent = 1.4675 Prediction Error = -4.964 Percent = 1.3666 Prediction Error = -4.964 Percent = 1.3666 Prediction Error = -5.029 Percent = 1.2716 Prediction Error = -5.029 Percent = 1.2716 Prediction Error = -5.094 Percent = 1.1821 Prediction Error = -5.094 Percent = 1.1821 Prediction Error = -5.159 Percent = 1.0978 Prediction Error = -5.159 Percent = 1.0978 Prediction Error = -5.224 Percent = 1.0187 Prediction Error = -5.224 Percent = 1.0187 Prediction Error = -5.289 Percent = 0.9444 Prediction Error = -5.289 Percent = 0.9444 Prediction Error = -5.354 Percent = 0.8747 Prediction Error = -5.354 Percent = 0.8747 Prediction Error = -5.419 Percent = 0.8094 Prediction Error = -5.419 Percent = 0.8094 Prediction Error = -5.484 Percent = 0.7482 Prediction Error = -5.484 Percent = 0.7482 Prediction Error = -5.549 Percent = 0.6911 Prediction Error = -5.549 Percent = 0.6911 Prediction Error = -5.614 Percent = 0.6378 Prediction Error = -5.614 Percent = 0.6378 Prediction Error = -5.679 Percent = 0.588 Prediction Error = -5.679 Percent = 0.588 Prediction Error = -5.744 Percent = 0.5416 Prediction Error = -5.744 Percent = 0.5416 Prediction Error = -5.809 Percent = 0.4984 Prediction Error = -5.809 Percent = 0.4984 Prediction Error = -5.874 Percent = 0.4582 Prediction Error = -5.874 Percent = 0.4582 Prediction Error = -5.939 Percent = 0.4209 Prediction Error = -5.939 Percent = 0.4209 Prediction Error = -6.004 Percent = 0.3863 Prediction Error = -6.004 Percent = 0.3863 Prediction Error = -6.069 Percent = 0.3542 Prediction Error = -6.069 Percent = 0.3542 Prediction Error = -6.134 Percent = 0.3244 Prediction Error = -6.134 Percent = 0.3244 Prediction Error = -6.199 Percent = 0.2969 Prediction Error = -6.199 Percent = 0.2969 Prediction Error = -6.264 Percent = 0.2715 Prediction Error = -6.264 Percent = 0.2715 Prediction Error = -6.329 Percent = 0.248 Prediction Error = 4.8 Percent = 3.1111 Prediction Error = 4.8 Percent = 3.1111 Prediction Error = 3.6 Percent = 10.222 Prediction Error = 3.6 Percent = 10.222 Prediction Error = 2.4 Percent = 11.556 Prediction Error = 2.4 Percent = 11.556 Prediction Error = 1.2 Percent = 10.222 Prediction Error = 1.2 Percent = 10.222 Prediction Error = 0 Percent = 20.444 Prediction Error = 0 Percent = 20.444 Prediction Error = -1.2 Percent = 24.444 Prediction Error = -1.2 Percent = 24.444 Prediction Error = -2.4 Percent = 16.444 Prediction Error = -2.4 Percent = 16.444 Prediction Error = -3.6 Percent = 2.6667 Prediction Error = -3.6 Percent = 2.6667 Prediction Error = -4.8 Percent = 0.8889 Prediction Error = -4.8 Percent = 0.8889 Quantile = 2.7733 Residual = 5 Quantile = 2.4464 Residual = 4.9903 Quantile = 2.2684 Residual = 4.5423 Quantile = 2.1421 Residual = 4.5378 Quantile = 2.0429 Residual = 4.5186 Quantile = 1.9604 Residual = 4.5084 Quantile = 1.8895 Residual = 4.372 Quantile = 1.827 Residual = 4.1367 Quantile = 1.7709 Residual = 4.0404 Quantile = 1.7198 Residual = 3.9981 Quantile = 1.6729 Residual = 3.9526 Quantile = 1.6294 Residual = 3.8486 Quantile = 1.5888 Residual = 3.779 Quantile = 1.5507 Residual = 3.6754 Quantile = 1.5147 Residual = 3.6318 Quantile = 1.4805 Residual = 3.5819 Quantile = 1.448 Residual = 3.4986 Quantile = 1.417 Residual = 3.46 Quantile = 1.3872 Residual = 3.4525 Quantile = 1.3587 Residual = 3.3793 Quantile = 1.3312 Residual = 3.3231 Quantile = 1.3047 Residual = 3.3212 Quantile = 1.279 Residual = 3.3134 Quantile = 1.2542 Residual = 3.2237 Quantile = 1.2301 Residual = 3.175 Quantile = 1.2068 Residual = 3.1546 Quantile = 1.184 Residual = 3.0818 Quantile = 1.1619 Residual = 3.0597 Quantile = 1.1403 Residual = 3.0543 Quantile = 1.1192 Residual = 3.0216 Quantile = 1.0987 Residual = 2.9985 Quantile = 1.0785 Residual = 2.998 Quantile = 1.0588 Residual = 2.9937 Quantile = 1.0395 Residual = 2.9648 Quantile = 1.0206 Residual = 2.9539 Quantile = 1.0021 Residual = 2.9271 Quantile = 0.9838 Residual = 2.909 Quantile = 0.9659 Residual = 2.8767 Quantile = 0.9483 Residual = 2.8447 Quantile = 0.931 Residual = 2.7865 Quantile = 0.914 Residual = 2.7425 Quantile = 0.8972 Residual = 2.679 Quantile = 0.8807 Residual = 2.6078 Quantile = 0.8644 Residual = 2.6035 Quantile = 0.8484 Residual = 2.5833 Quantile = 0.8325 Residual = 2.5353 Quantile = 0.8169 Residual = 2.4999 Quantile = 0.8015 Residual = 2.4482 Quantile = 0.7862 Residual = 2.4472 Quantile = 0.7711 Residual = 2.258 Quantile = 0.7562 Residual = 2.212 Quantile = 0.7415 Residual = 2.0058 Quantile = 0.7269 Residual = 1.9942 Quantile = 0.7125 Residual = 1.9369 Quantile = 0.6983 Residual = 1.8528 Quantile = 0.6841 Residual = 1.8059 Quantile = 0.6701 Residual = 1.7689 Quantile = 0.6563 Residual = 1.7554 Quantile = 0.6425 Residual = 1.6883 Quantile = 0.6289 Residual = 1.6125 Quantile = 0.6154 Residual = 1.4973 Quantile = 0.602 Residual = 1.477 Quantile = 0.5887 Residual = 1.4247 Quantile = 0.5755 Residual = 1.2145 Quantile = 0.5625 Residual = 1.126 Quantile = 0.5495 Residual = 1.1078 Quantile = 0.5366 Residual = 1.1002 Quantile = 0.5238 Residual = 1.0021 Quantile = 0.511 Residual = 0.9945 Quantile = 0.4984 Residual = 0.9844 Quantile = 0.4858 Residual = 0.8879 Quantile = 0.4734 Residual = 0.8271 Quantile = 0.4609 Residual = 0.8251 Quantile = 0.4486 Residual = 0.7498 Quantile = 0.4363 Residual = 0.6951 Quantile = 0.4241 Residual = 0.6893 Quantile = 0.412 Residual = 0.6493 Quantile = 0.3999 Residual = 0.6492 Quantile = 0.3879 Residual = 0.6173 Quantile = 0.3759 Residual = 0.5872 Quantile = 0.364 Residual = 0.5097 Quantile = 0.3521 Residual = 0.5085 Quantile = 0.3403 Residual = 0.5019 Quantile = 0.3285 Residual = 0.4638 Quantile = 0.3168 Residual = 0.429 Quantile = 0.3051 Residual = 0.4028 Quantile = 0.2935 Residual = 0.3579 Quantile = 0.2819 Residual = 0.3533 Quantile = 0.2703 Residual = 0.1507 Quantile = 0.2588 Residual = 0.0262 Quantile = 0.2473 Residual = 0.0187 Quantile = 0.2359 Residual = 0.0152 Quantile = 0.2244 Residual = 0.0116 Quantile = 0.213 Residual = 0.0053 Quantile = 0.2017 Residual = 0.0015 Quantile = 0.1903 Residual = -0.002 Quantile = 0.179 Residual = -0.002 Quantile = 0.1677 Residual = -0.003 Quantile = 0.1564 Residual = -0.004 Quantile = 0.1452 Residual = -0.007 Quantile = 0.1339 Residual = -0.015 Quantile = 0.1227 Residual = -0.031 Quantile = 0.1115 Residual = -0.08 Quantile = 0.1003 Residual = -0.116 Quantile = 0.0891 Residual = -0.19 Quantile = 0.078 Residual = -0.256 Quantile = 0.0668 Residual = -0.309 Quantile = 0.0557 Residual = -0.314 Quantile = 0.0445 Residual = -0.33 Quantile = 0.0334 Residual = -0.377 Quantile = 0.0223 Residual = -0.384 Quantile = 0.0111 Residual = -0.404 Quantile = 0 Residual = -0.466 Quantile = -0.011 Residual = -0.47 Quantile = -0.022 Residual = -0.493 Quantile = -0.033 Residual = -0.499 Quantile = -0.045 Residual = -0.509 Quantile = -0.056 Residual = -0.516 Quantile = -0.067 Residual = -0.538 Quantile = -0.078 Residual = -0.551 Quantile = -0.089 Residual = -0.552 Quantile = -0.1 Residual = -0.554 Quantile = -0.112 Residual = -0.563 Quantile = -0.123 Residual = -0.58 Quantile = -0.134 Residual = -0.586 Quantile = -0.145 Residual = -0.606 Quantile = -0.156 Residual = -0.609 Quantile = -0.168 Residual = -0.61 Quantile = -0.179 Residual = -0.613 Quantile = -0.19 Residual = -0.625 Quantile = -0.202 Residual = -0.639 Quantile = -0.213 Residual = -0.662 Quantile = -0.224 Residual = -0.688 Quantile = -0.236 Residual = -0.689 Quantile = -0.247 Residual = -0.69 Quantile = -0.259 Residual = -0.699 Quantile = -0.27 Residual = -0.701 Quantile = -0.282 Residual = -0.709 Quantile = -0.293 Residual = -0.751 Quantile = -0.305 Residual = -0.819 Quantile = -0.317 Residual = -0.822 Quantile = -0.329 Residual = -0.851 Quantile = -0.34 Residual = -0.855 Quantile = -0.352 Residual = -0.866 Quantile = -0.364 Residual = -0.887 Quantile = -0.376 Residual = -0.888 Quantile = -0.388 Residual = -0.928 Quantile = -0.4 Residual = -0.952 Quantile = -0.412 Residual = -0.963 Quantile = -0.424 Residual = -0.972 Quantile = -0.436 Residual = -1.023 Quantile = -0.449 Residual = -1.036 Quantile = -0.461 Residual = -1.048 Quantile = -0.473 Residual = -1.084 Quantile = -0.486 Residual = -1.104 Quantile = -0.498 Residual = -1.212 Quantile = -0.511 Residual = -1.262 Quantile = -0.524 Residual = -1.301 Quantile = -0.537 Residual = -1.318 Quantile = -0.549 Residual = -1.334 Quantile = -0.562 Residual = -1.342 Quantile = -0.576 Residual = -1.354 Quantile = -0.589 Residual = -1.382 Quantile = -0.602 Residual = -1.402 Quantile = -0.615 Residual = -1.421 Quantile = -0.629 Residual = -1.443 Quantile = -0.643 Residual = -1.471 Quantile = -0.656 Residual = -1.486 Quantile = -0.67 Residual = -1.49 Quantile = -0.684 Residual = -1.496 Quantile = -0.698 Residual = -1.517 Quantile = -0.713 Residual = -1.521 Quantile = -0.727 Residual = -1.579 Quantile = -0.742 Residual = -1.619 Quantile = -0.756 Residual = -1.667 Quantile = -0.771 Residual = -1.672 Quantile = -0.786 Residual = -1.729 Quantile = -0.801 Residual = -1.74 Quantile = -0.817 Residual = -1.779 Quantile = -0.833 Residual = -1.787 Quantile = -0.848 Residual = -1.825 Quantile = -0.864 Residual = -1.843 Quantile = -0.881 Residual = -1.846 Quantile = -0.897 Residual = -1.848 Quantile = -0.914 Residual = -1.886 Quantile = -0.931 Residual = -1.913 Quantile = -0.948 Residual = -1.958 Quantile = -0.966 Residual = -1.97 Quantile = -0.984 Residual = -1.99 Quantile = -1.002 Residual = -2.002 Quantile = -1.021 Residual = -2.101 Quantile = -1.04 Residual = -2.106 Quantile = -1.059 Residual = -2.151 Quantile = -1.079 Residual = -2.162 Quantile = -1.099 Residual = -2.165 Quantile = -1.119 Residual = -2.174 Quantile = -1.14 Residual = -2.188 Quantile = -1.162 Residual = -2.203 Quantile = -1.184 Residual = -2.22 Quantile = -1.207 Residual = -2.244 Quantile = -1.23 Residual = -2.246 Quantile = -1.254 Residual = -2.305 Quantile = -1.279 Residual = -2.313 Quantile = -1.305 Residual = -2.33 Quantile = -1.331 Residual = -2.366 Quantile = -1.359 Residual = -2.373 Quantile = -1.387 Residual = -2.495 Quantile = -1.417 Residual = -2.506 Quantile = -1.448 Residual = -2.509 Quantile = -1.481 Residual = -2.562 Quantile = -1.515 Residual = -2.575 Quantile = -1.551 Residual = -2.607 Quantile = -1.589 Residual = -2.744 Quantile = -1.629 Residual = -2.753 Quantile = -1.673 Residual = -2.78 Quantile = -1.72 Residual = -2.83 Quantile = -1.771 Residual = -2.993 Quantile = -1.827 Residual = -3.006 Quantile = -1.89 Residual = -3.012 Quantile = -1.96 Residual = -3.015 Quantile = -2.043 Residual = -3.304 Quantile = -2.142 Residual = -3.501 Quantile = -2.268 Residual = -3.989 Quantile = -2.446 Residual = -5.01 Quantile = -2.773 Residual = -5.013 Slope = 2.1443 Y = 0.1041 Lag = 24 ACF = 0.0274 Lag = 23 ACF = -0.051 Lag = 22 ACF = 0.0167 Lag = 21 ACF = 0.0087 Lag = 20 ACF = 0.0397 Lag = 19 ACF = -0.037 Lag = 18 ACF = 0.051 Lag = 17 ACF = 0.0485 Lag = 16 ACF = 0.0472 Lag = 15 ACF = -0.034 Lag = 14 ACF = -0.04 Lag = 13 ACF = -0.002 Lag = 12 ACF = -47E-5 Lag = 11 ACF = -0.025 Lag = 10 ACF = -0.029 Lag = 9 ACF = 0.012 Lag = 8 ACF = -0.07 Lag = 7 ACF = -0.035 Lag = 6 ACF = 0.0796 Lag = 5 ACF = 0.0068 Lag = 4 ACF = 0.0322 Lag = 3 ACF = 0.01 Lag = 2 ACF = -0.101 Lag = 1 ACF = 0.0682 Lag = 0 ACF = 1 Lag = 24 Lower = -0.139 Upper = 0.1393 Lag = 23 Lower = -0.139 Upper = 0.139 Lag = 23 Lower = -0.139 Upper = 0.139 Lag = 22 Lower = -0.139 Upper = 0.139 Lag = 22 Lower = -0.139 Upper = 0.139 Lag = 21 Lower = -0.139 Upper = 0.1389 Lag = 21 Lower = -0.139 Upper = 0.1389 Lag = 20 Lower = -0.139 Upper = 0.1387 Lag = 20 Lower = -0.139 Upper = 0.1387 Lag = 19 Lower = -0.139 Upper = 0.1386 Lag = 19 Lower = -0.139 Upper = 0.1386 Lag = 18 Lower = -0.138 Upper = 0.1382 Lag = 18 Lower = -0.138 Upper = 0.1382 Lag = 17 Lower = -0.138 Upper = 0.1379 Lag = 17 Lower = -0.138 Upper = 0.1379 Lag = 16 Lower = -0.138 Upper = 0.1376 Lag = 16 Lower = -0.138 Upper = 0.1376 Lag = 15 Lower = -0.138 Upper = 0.1375 Lag = 15 Lower = -0.138 Upper = 0.1375 Lag = 14 Lower = -0.137 Upper = 0.1373 Lag = 14 Lower = -0.137 Upper = 0.1373 Lag = 13 Lower = -0.137 Upper = 0.1373 Lag = 13 Lower = -0.137 Upper = 0.1373 Lag = 12 Lower = -0.137 Upper = 0.1373 Lag = 12 Lower = -0.137 Upper = 0.1373 Lag = 11 Lower = -0.137 Upper = 0.1372 Lag = 11 Lower = -0.137 Upper = 0.1372 Lag = 10 Lower = -0.137 Upper = 0.1371 Lag = 10 Lower = -0.137 Upper = 0.1371 Lag = 9 Lower = -0.137 Upper = 0.1371 Lag = 9 Lower = -0.137 Upper = 0.1371 Lag = 8 Lower = -0.136 Upper = 0.1364 Lag = 8 Lower = -0.136 Upper = 0.1364 Lag = 7 Lower = -0.136 Upper = 0.1363 Lag = 7 Lower = -0.136 Upper = 0.1363 Lag = 6 Lower = -0.135 Upper = 0.1355 Lag = 6 Lower = -0.135 Upper = 0.1355 Lag = 5 Lower = -0.135 Upper = 0.1355 Lag = 5 Lower = -0.135 Upper = 0.1355 Lag = 4 Lower = -0.135 Upper = 0.1353 Lag = 4 Lower = -0.135 Upper = 0.1353 Lag = 3 Lower = -0.135 Upper = 0.1353 Lag = 3 Lower = -0.135 Upper = 0.1353 Lag = 2 Lower = -0.134 Upper = 0.134 Lag = 2 Lower = -0.134 Upper = 0.134 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = 0.0355 Lag = 23 PACF = -0.061 Lag = 22 PACF = 0.009 Lag = 21 PACF = -0.01 Lag = 20 PACF = 0.0574 Lag = 19 PACF = -0.038 Lag = 18 PACF = 0.0537 Lag = 17 PACF = 0.0382 Lag = 16 PACF = 0.0507 Lag = 15 PACF = -0.035 Lag = 14 PACF = -0.03 Lag = 13 PACF = 0.0013 Lag = 12 PACF = -0.008 Lag = 11 PACF = -0.013 Lag = 10 PACF = -0.048 Lag = 9 PACF = 0.0101 Lag = 8 PACF = -0.048 Lag = 7 PACF = -0.049 Lag = 6 PACF = 0.0851 Lag = 5 PACF = 0.0065 Lag = 4 PACF = 0.0191 Lag = 3 PACF = 0.0253 Lag = 2 PACF = -0.106 Lag = 1 PACF = 0.0682 Lag = 24 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Oct2019 Loess Fit = 0.4789 Date_of_death = Aug2019 Loess Fit = 0.4738 Date_of_death = Aug2019 Loess Fit = 0.4738 Date_of_death = Jul2019 Loess Fit = 0.4686 Date_of_death = Jul2019 Loess Fit = 0.4686 Date_of_death = Jun2019 Loess Fit = 0.4635 Date_of_death = Jun2019 Loess Fit = 0.4635 Date_of_death = May2019 Loess Fit = 0.4584 Date_of_death = May2019 Loess Fit = 0.4584 Date_of_death = Apr2019 Loess Fit = 0.4532 Date_of_death = Apr2019 Loess Fit = 0.4532 Date_of_death = Mar2019 Loess Fit = 0.4481 Date_of_death = Mar2019 Loess Fit = 0.4481 Date_of_death = Feb2019 Loess Fit = 0.443 Date_of_death = Feb2019 Loess Fit = 0.443 Date_of_death = Jan2019 Loess Fit = 0.4378 Date_of_death = Jan2019 Loess Fit = 0.4378 Date_of_death = Nov2018 Loess Fit = 0.4327 Date_of_death = Nov2018 Loess Fit = 0.4327 Date_of_death = Oct2018 Loess Fit = 0.4276 Date_of_death = Oct2018 Loess Fit = 0.4276 Date_of_death = Sep2018 Loess Fit = 0.4224 Date_of_death = Sep2018 Loess Fit = 0.4224 Date_of_death = Aug2018 Loess Fit = 0.4173 Date_of_death = Aug2018 Loess Fit = 0.4173 Date_of_death = Jul2018 Loess Fit = 0.4122 Date_of_death = Jul2018 Loess Fit = 0.4122 Date_of_death = Jun2018 Loess Fit = 0.407 Date_of_death = Jun2018 Loess Fit = 0.407 Date_of_death = May2018 Loess Fit = 0.4019 Date_of_death = May2018 Loess Fit = 0.4019 Date_of_death = Apr2018 Loess Fit = 0.3968 Date_of_death = Apr2018 Loess Fit = 0.3968 Date_of_death = Feb2018 Loess Fit = 0.3916 Date_of_death = Feb2018 Loess Fit = 0.3916 Date_of_death = Jan2018 Loess Fit = 0.3865 Date_of_death = Jan2018 Loess Fit = 0.3865 Date_of_death = Dec2017 Loess Fit = 0.3814 Date_of_death = Dec2017 Loess Fit = 0.3814 Date_of_death = Nov2017 Loess Fit = 0.3762 Date_of_death = Nov2017 Loess Fit = 0.3762 Date_of_death = Oct2017 Loess Fit = 0.3711 Date_of_death = Oct2017 Loess Fit = 0.3711 Date_of_death = Sep2017 Loess Fit = 0.366 Date_of_death = Sep2017 Loess Fit = 0.366 Date_of_death = Aug2017 Loess Fit = 0.3608 Date_of_death = Aug2017 Loess Fit = 0.3608 Date_of_death = Jul2017 Loess Fit = 0.3557 Date_of_death = Jul2017 Loess Fit = 0.3557 Date_of_death = Jun2017 Loess Fit = 0.3506 Date_of_death = Jun2017 Loess Fit = 0.3506 Date_of_death = Apr2017 Loess Fit = 0.3462 Date_of_death = Apr2017 Loess Fit = 0.3462 Date_of_death = Mar2017 Loess Fit = 0.3418 Date_of_death = Mar2017 Loess Fit = 0.3418 Date_of_death = Feb2017 Loess Fit = 0.3374 Date_of_death = Feb2017 Loess Fit = 0.3374 Date_of_death = Jan2017 Loess Fit = 0.333 Date_of_death = Jan2017 Loess Fit = 0.333 Date_of_death = Dec2016 Loess Fit = 0.3286 Date_of_death = Dec2016 Loess Fit = 0.3286 Date_of_death = Nov2016 Loess Fit = 0.3242 Date_of_death = Nov2016 Loess Fit = 0.3242 Date_of_death = Oct2016 Loess Fit = 0.3198 Date_of_death = Oct2016 Loess Fit = 0.3198 Date_of_death = Sep2016 Loess Fit = 0.3154 Date_of_death = Sep2016 Loess Fit = 0.3154 Date_of_death = Jul2016 Loess Fit = 0.311 Date_of_death = Jul2016 Loess Fit = 0.311 Date_of_death = Jun2016 Loess Fit = 0.3066 Date_of_death = Jun2016 Loess Fit = 0.3066 Date_of_death = May2016 Loess Fit = 0.3021 Date_of_death = May2016 Loess Fit = 0.3021 Date_of_death = Apr2016 Loess Fit = 0.2977 Date_of_death = Apr2016 Loess Fit = 0.2977 Date_of_death = Mar2016 Loess Fit = 0.2933 Date_of_death = Mar2016 Loess Fit = 0.2933 Date_of_death = Feb2016 Loess Fit = 0.2889 Date_of_death = Feb2016 Loess Fit = 0.2889 Date_of_death = Jan2016 Loess Fit = 0.2845 Date_of_death = Jan2016 Loess Fit = 0.2845 Date_of_death = Dec2015 Loess Fit = 0.2801 Date_of_death = Dec2015 Loess Fit = 0.2801 Date_of_death = Oct2015 Loess Fit = 0.2757 Date_of_death = Oct2015 Loess Fit = 0.2757 Date_of_death = Sep2015 Loess Fit = 0.2713 Date_of_death = Sep2015 Loess Fit = 0.2713 Date_of_death = Aug2015 Loess Fit = 0.2669 Date_of_death = Aug2015 Loess Fit = 0.2669 Date_of_death = Jul2015 Loess Fit = 0.2625 Date_of_death = Jul2015 Loess Fit = 0.2625 Date_of_death = Jun2015 Loess Fit = 0.2581 Date_of_death = Jun2015 Loess Fit = 0.2581 Date_of_death = May2015 Loess Fit = 0.2537 Date_of_death = May2015 Loess Fit = 0.2537 Date_of_death = Apr2015 Loess Fit = 0.2493 Date_of_death = Apr2015 Loess Fit = 0.2493 Date_of_death = Mar2015 Loess Fit = 0.2449 Date_of_death = Mar2015 Loess Fit = 0.2449 Date_of_death = Jan2015 Loess Fit = 0.2405 Date_of_death = Jan2015 Loess Fit = 0.2405 Date_of_death = Dec2014 Loess Fit = 0.2364 Date_of_death = Dec2014 Loess Fit = 0.2364 Date_of_death = Nov2014 Loess Fit = 0.2323 Date_of_death = Nov2014 Loess Fit = 0.2323 Date_of_death = Oct2014 Loess Fit = 0.2282 Date_of_death = Oct2014 Loess Fit = 0.2282 Date_of_death = Sep2014 Loess Fit = 0.2241 Date_of_death = Sep2014 Loess Fit = 0.2241 Date_of_death = Aug2014 Loess Fit = 0.22 Date_of_death = Aug2014 Loess Fit = 0.22 Date_of_death = Jul2014 Loess Fit = 0.2159 Date_of_death = Jul2014 Loess Fit = 0.2159 Date_of_death = Jun2014 Loess Fit = 0.2118 Date_of_death = Jun2014 Loess Fit = 0.2118 Date_of_death = May2014 Loess Fit = 0.2077 Date_of_death = May2014 Loess Fit = 0.2077 Date_of_death = Mar2014 Loess Fit = 0.2036 Date_of_death = Mar2014 Loess Fit = 0.2036 Date_of_death = Feb2014 Loess Fit = 0.1995 Date_of_death = Feb2014 Loess Fit = 0.1995 Date_of_death = Jan2014 Loess Fit = 0.1954 Date_of_death = Jan2014 Loess Fit = 0.1954 Date_of_death = Dec2013 Loess Fit = 0.1913 Date_of_death = Dec2013 Loess Fit = 0.1913 Date_of_death = Nov2013 Loess Fit = 0.1871 Date_of_death = Nov2013 Loess Fit = 0.1871 Date_of_death = Oct2013 Loess Fit = 0.183 Date_of_death = Oct2013 Loess Fit = 0.183 Date_of_death = Sep2013 Loess Fit = 0.1789 Date_of_death = Sep2013 Loess Fit = 0.1789 Date_of_death = Aug2013 Loess Fit = 0.1748 Date_of_death = Aug2013 Loess Fit = 0.1748 Date_of_death = Jun2013 Loess Fit = 0.1707 Date_of_death = Jun2013 Loess Fit = 0.1707 Date_of_death = May2013 Loess Fit = 0.1666 Date_of_death = May2013 Loess Fit = 0.1666 Date_of_death = Apr2013 Loess Fit = 0.1625 Date_of_death = Apr2013 Loess Fit = 0.1625 Date_of_death = Mar2013 Loess Fit = 0.1584 Date_of_death = Mar2013 Loess Fit = 0.1584 Date_of_death = Feb2013 Loess Fit = 0.1543 Date_of_death = Feb2013 Loess Fit = 0.1543 Date_of_death = Jan2013 Loess Fit = 0.1502 Date_of_death = Jan2013 Loess Fit = 0.1502 Date_of_death = Dec2012 Loess Fit = 0.1461 Date_of_death = Dec2012 Loess Fit = 0.1461 Date_of_death = Nov2012 Loess Fit = 0.142 Date_of_death = Nov2012 Loess Fit = 0.142 Date_of_death = Oct2012 Loess Fit = 0.1379 Date_of_death = Oct2012 Loess Fit = 0.1379 Date_of_death = Aug2012 Loess Fit = 0.1326 Date_of_death = Aug2012 Loess Fit = 0.1326 Date_of_death = Jul2012 Loess Fit = 0.1273 Date_of_death = Jul2012 Loess Fit = 0.1273 Date_of_death = Jun2012 Loess Fit = 0.122 Date_of_death = Jun2012 Loess Fit = 0.122 Date_of_death = May2012 Loess Fit = 0.1167 Date_of_death = May2012 Loess Fit = 0.1167 Date_of_death = Apr2012 Loess Fit = 0.1114 Date_of_death = Apr2012 Loess Fit = 0.1114 Date_of_death = Mar2012 Loess Fit = 0.1061 Date_of_death = Mar2012 Loess Fit = 0.1061 Date_of_death = Feb2012 Loess Fit = 0.1008 Date_of_death = Feb2012 Loess Fit = 0.1008 Date_of_death = Jan2012 Loess Fit = 0.0955 Date_of_death = Jan2012 Loess Fit = 0.0955 Date_of_death = Nov2011 Loess Fit = 0.0902 Date_of_death = Nov2011 Loess Fit = 0.0902 Date_of_death = Oct2011 Loess Fit = 0.0849 Date_of_death = Oct2011 Loess Fit = 0.0849 Date_of_death = Sep2011 Loess Fit = 0.0796 Date_of_death = Sep2011 Loess Fit = 0.0796 Date_of_death = Aug2011 Loess Fit = 0.0744 Date_of_death = Aug2011 Loess Fit = 0.0744 Date_of_death = Jul2011 Loess Fit = 0.0691 Date_of_death = Jul2011 Loess Fit = 0.0691 Date_of_death = Jun2011 Loess Fit = 0.0638 Date_of_death = Jun2011 Loess Fit = 0.0638 Date_of_death = May2011 Loess Fit = 0.0585 Date_of_death = May2011 Loess Fit = 0.0585 Date_of_death = Apr2011 Loess Fit = 0.0532 Date_of_death = Apr2011 Loess Fit = 0.0532 Date_of_death = Mar2011 Loess Fit = 0.0479 Date_of_death = Mar2011 Loess Fit = 0.0479 Date_of_death = Jan2011 Loess Fit = 0.0426 Date_of_death = Jan2011 Loess Fit = 0.0426 Date_of_death = Dec2010 Loess Fit = 0.0373 Date_of_death = Dec2010 Loess Fit = 0.0373 Date_of_death = Nov2010 Loess Fit = 0.032 Date_of_death = Nov2010 Loess Fit = 0.032 Date_of_death = Oct2010 Loess Fit = 0.0267 Date_of_death = Oct2010 Loess Fit = 0.0267 Date_of_death = Sep2010 Loess Fit = 0.0214 Date_of_death = Sep2010 Loess Fit = 0.0214 Date_of_death = Aug2010 Loess Fit = 0.0161 Date_of_death = Aug2010 Loess Fit = 0.0161 Date_of_death = Jul2010 Loess Fit = 0.0108 Date_of_death = Jul2010 Loess Fit = 0.0108 Date_of_death = Jun2010 Loess Fit = 0.0055 Date_of_death = Jun2010 Loess Fit = 0.0055 Date_of_death = Apr2010 Loess Fit = 0.0045 Date_of_death = Apr2010 Loess Fit = 0.0045 Date_of_death = Mar2010 Loess Fit = 0.0035 Date_of_death = Mar2010 Loess Fit = 0.0035 Date_of_death = Feb2010 Loess Fit = 0.0025 Date_of_death = Feb2010 Loess Fit = 0.0025 Date_of_death = Jan2010 Loess Fit = 0.0016 Date_of_death = Jan2010 Loess Fit = 0.0016 Date_of_death = Dec2009 Loess Fit = .00063 Date_of_death = Dec2009 Loess Fit = .00063 Date_of_death = Nov2009 Loess Fit = -32E-5 Date_of_death = Nov2009 Loess Fit = -32E-5 Date_of_death = Oct2009 Loess Fit = -0.001 Date_of_death = Oct2009 Loess Fit = -0.001 Date_of_death = Sep2009 Loess Fit = -0.002 Date_of_death = Sep2009 Loess Fit = -0.002 Date_of_death = Jul2009 Loess Fit = -0.003 Date_of_death = Jul2009 Loess Fit = -0.003 Date_of_death = Jun2009 Loess Fit = -0.004 Date_of_death = Jun2009 Loess Fit = -0.004 Date_of_death = May2009 Loess Fit = -0.005 Date_of_death = May2009 Loess Fit = -0.005 Date_of_death = Apr2009 Loess Fit = -0.006 Date_of_death = Apr2009 Loess Fit = -0.006 Date_of_death = Mar2009 Loess Fit = -0.007 Date_of_death = Mar2009 Loess Fit = -0.007 Date_of_death = Feb2009 Loess Fit = -0.008 Date_of_death = Feb2009 Loess Fit = -0.008 Date_of_death = Jan2009 Loess Fit = -0.009 Date_of_death = Jan2009 Loess Fit = -0.009 Date_of_death = Dec2008 Loess Fit = -0.01 Date_of_death = Dec2008 Loess Fit = -0.01 Date_of_death = Oct2008 Loess Fit = -0.011 Date_of_death = Oct2008 Loess Fit = -0.011 Date_of_death = Sep2008 Loess Fit = -0.012 Date_of_death = Sep2008 Loess Fit = -0.012 Date_of_death = Aug2008 Loess Fit = -0.013 Date_of_death = Aug2008 Loess Fit = -0.013 Date_of_death = Jul2008 Loess Fit = -0.014 Date_of_death = Jul2008 Loess Fit = -0.014 Date_of_death = Jun2008 Loess Fit = -0.015 Date_of_death = Jun2008 Loess Fit = -0.015 Date_of_death = May2008 Loess Fit = -0.016 Date_of_death = May2008 Loess Fit = -0.016 Date_of_death = Apr2008 Loess Fit = -0.017 Date_of_death = Apr2008 Loess Fit = -0.017 Date_of_death = Mar2008 Loess Fit = -0.018 Date_of_death = Mar2008 Loess Fit = -0.018 Date_of_death = Feb2008 Loess Fit = -0.018 Date_of_death = Feb2008 Loess Fit = -0.018 Date_of_death = Dec2007 Loess Fit = -0.018 Date_of_death = Dec2007 Loess Fit = -0.018 Date_of_death = Nov2007 Loess Fit = -0.017 Date_of_death = Nov2007 Loess Fit = -0.017 Date_of_death = Oct2007 Loess Fit = -0.016 Date_of_death = Oct2007 Loess Fit = -0.016 Date_of_death = Sep2007 Loess Fit = -0.015 Date_of_death = Sep2007 Loess Fit = -0.015 Date_of_death = Aug2007 Loess Fit = -0.014 Date_of_death = Aug2007 Loess Fit = -0.014 Date_of_death = Jul2007 Loess Fit = -0.013 Date_of_death = Jul2007 Loess Fit = -0.013 Date_of_death = Jun2007 Loess Fit = -0.012 Date_of_death = Jun2007 Loess Fit = -0.012 Date_of_death = May2007 Loess Fit = -0.012 Date_of_death = May2007 Loess Fit = -0.012 Date_of_death = Mar2007 Loess Fit = -0.011 Date_of_death = Mar2007 Loess Fit = -0.011 Date_of_death = Feb2007 Loess Fit = -0.01 Date_of_death = Feb2007 Loess Fit = -0.01 Date_of_death = Jan2007 Loess Fit = -0.009 Date_of_death = Jan2007 Loess Fit = -0.009 Date_of_death = Dec2006 Loess Fit = -0.008 Date_of_death = Dec2006 Loess Fit = -0.008 Date_of_death = Nov2006 Loess Fit = -0.007 Date_of_death = Nov2006 Loess Fit = -0.007 Date_of_death = Oct2006 Loess Fit = -0.006 Date_of_death = Oct2006 Loess Fit = -0.006 Date_of_death = Sep2006 Loess Fit = -0.006 Date_of_death = Sep2006 Loess Fit = -0.006 Date_of_death = Aug2006 Loess Fit = -0.005 Date_of_death = Aug2006 Loess Fit = -0.005 Date_of_death = Jul2006 Loess Fit = -0.004 Date_of_death = Jul2006 Loess Fit = -0.004 Date_of_death = May2006 Loess Fit = -0.003 Date_of_death = May2006 Loess Fit = -0.003 Date_of_death = Apr2006 Loess Fit = -0.002 Date_of_death = Apr2006 Loess Fit = -0.002 Date_of_death = Mar2006 Loess Fit = -0.001 Date_of_death = Mar2006 Loess Fit = -0.001 Date_of_death = Feb2006 Loess Fit = -42E-5 Date_of_death = Feb2006 Loess Fit = -42E-5 Date_of_death = Jan2006 Loess Fit = .00044 Date_of_death = Jan2006 Loess Fit = .00044 Date_of_death = Dec2005 Loess Fit = 0.0013 Date_of_death = Dec2005 Loess Fit = 0.0013 Date_of_death = Nov2005 Loess Fit = 0.0022 Date_of_death = Nov2005 Loess Fit = 0.0022 Date_of_death = Oct2005 Loess Fit = 0.003 Date_of_death = Oct2005 Loess Fit = 0.003 Date_of_death = Aug2005 Loess Fit = 0.004 Date_of_death = Aug2005 Loess Fit = 0.004 Date_of_death = Jul2005 Loess Fit = 0.0049 Date_of_death = Jul2005 Loess Fit = 0.0049 Date_of_death = Jun2005 Loess Fit = 0.0059 Date_of_death = Jun2005 Loess Fit = 0.0059 Date_of_death = May2005 Loess Fit = 0.0068 Date_of_death = May2005 Loess Fit = 0.0068 Date_of_death = Apr2005 Loess Fit = 0.0078 Date_of_death = Apr2005 Loess Fit = 0.0078 Date_of_death = Mar2005 Loess Fit = 0.0087 Date_of_death = Mar2005 Loess Fit = 0.0087 Date_of_death = Feb2005 Loess Fit = 0.0097 Date_of_death = Feb2005 Loess Fit = 0.0097 Date_of_death = Jan2005 Loess Fit = 0.0106 Date_of_death = Jan2005 Loess Fit = 0.0106 Date_of_death = Nov2004 Loess Fit = 0.0116 Date_of_death = Nov2004 Loess Fit = 0.0116 Date_of_death = Oct2004 Loess Fit = 0.0126 Date_of_death = Oct2004 Loess Fit = 0.0126 Date_of_death = Sep2004 Loess Fit = 0.0135 Date_of_death = Sep2004 Loess Fit = 0.0135 Date_of_death = Aug2004 Loess Fit = 0.0145 Date_of_death = Aug2004 Loess Fit = 0.0145 Date_of_death = Jul2004 Loess Fit = 0.0154 Date_of_death = Jul2004 Loess Fit = 0.0154 Date_of_death = Jun2004 Loess Fit = 0.0164 Date_of_death = Jun2004 Loess Fit = 0.0164 Date_of_death = May2004 Loess Fit = 0.0173 Date_of_death = May2004 Loess Fit = 0.0173 Date_of_death = Apr2004 Loess Fit = 0.0183 Date_of_death = Apr2004 Loess Fit = 0.0183 Date_of_death = Mar2004 Loess Fit = 0.0192 Date_of_death = Mar2004 Loess Fit = 0.0192 Date_of_death = Jan2004 Loess Fit = 0.0202 Date_of_death = Jan2004 Loess Fit = 0.0202 Date_of_death = Dec2003 Loess Fit = 0.0211 Date_of_death = Dec2003 Loess Fit = 0.0211 Date_of_death = Nov2003 Loess Fit = 0.0221 Date_of_death = Nov2003 Loess Fit = 0.0221 Date_of_death = Oct2003 Loess Fit = 0.023 Date_of_death = Oct2003 Loess Fit = 0.023 Date_of_death = Sep2003 Loess Fit = 0.024 Date_of_death = Sep2003 Loess Fit = 0.024 Date_of_death = Aug2003 Loess Fit = 0.0249 Date_of_death = Aug2003 Loess Fit = 0.0249 Date_of_death = Jul2003 Loess Fit = 0.0259 Date_of_death = Jul2003 Loess Fit = 0.0259 Date_of_death = Jun2003 Loess Fit = 0.0269 Date_of_death = Jun2003 Loess Fit = 0.0269 Date_of_death = Apr2003 Loess Fit = 0.0277 Date_of_death = Apr2003 Loess Fit = 0.0277 Date_of_death = Mar2003 Loess Fit = 0.0286 Date_of_death = Mar2003 Loess Fit = 0.0286 Date_of_death = Feb2003 Loess Fit = 0.0295 Date_of_death = Feb2003 Loess Fit = 0.0295 Date_of_death = Jan2003 Loess Fit = 0.0304 Date_of_death = Jan2003 Loess Fit = 0.0304 Date_of_death = Dec2002 Loess Fit = 0.0313 Date_of_death = Dec2002 Loess Fit = 0.0313 Date_of_death = Nov2002 Loess Fit = 0.0322 Date_of_death = Nov2002 Loess Fit = 0.0322 Date_of_death = Oct2002 Loess Fit = 0.0331 Date_of_death = Oct2002 Loess Fit = 0.0331 Date_of_death = Sep2002 Loess Fit = 0.0339 Date_of_death = Sep2002 Loess Fit = 0.0339 Date_of_death = Jul2002 Loess Fit = 0.0348 Date_of_death = Jul2002 Loess Fit = 0.0348 Date_of_death = Jun2002 Loess Fit = 0.0357 Date_of_death = Jun2002 Loess Fit = 0.0357 Date_of_death = May2002 Loess Fit = 0.0366 Date_of_death = May2002 Loess Fit = 0.0366 Date_of_death = Apr2002 Loess Fit = 0.0375 Date_of_death = Apr2002 Loess Fit = 0.0375 Date_of_death = Mar2002 Loess Fit = 0.0384 Date_of_death = Mar2002 Loess Fit = 0.0384 Date_of_death = Feb2002 Loess Fit = 0.0392 Date_of_death = Feb2002 Loess Fit = 0.0392 Date_of_death = Jan2002 Loess Fit = 0.0401 Date_of_death = Jan2002 Loess Fit = 0.0401 Date_of_death = Dec2001 Loess Fit = 0.041 Date_of_death = Dec2001 Loess Fit = 0.041 Date_of_death = Oct2001 Loess Fit = 0.0419 Date_of_death = Oct2001 Loess Fit = 0.0419 Date_of_death = Sep2001 Loess Fit = 0.0428 Date_of_death = Sep2001 Loess Fit = 0.0428 Date_of_death = Aug2001 Loess Fit = 0.0437 Date_of_death = Aug2001 Loess Fit = 0.0437 Date_of_death = Jul2001 Loess Fit = 0.0446 Date_of_death = Jul2001 Loess Fit = 0.0446 Date_of_death = Jun2001 Loess Fit = 0.0454 Date_of_death = Jun2001 Loess Fit = 0.0454 Date_of_death = May2001 Loess Fit = 0.0463 Date_of_death = May2001 Loess Fit = 0.0463 Date_of_death = Apr2001 Loess Fit = 0.0472 Date_of_death = Apr2001 Loess Fit = 0.0472 Date_of_death = Mar2001 Loess Fit = 0.0481 Date_of_death = Mar2001 Loess Fit = 0.0481 Date_of_death = Feb2001 Loess Fit = 0.049 Date_of_death = Oct2019 Prediction Error = -1.521 Date_of_death = Sep2019 Prediction Error = -1.913 Date_of_death = Aug2019 Prediction Error = 3.175 Date_of_death = Jul2019 Prediction Error = -1.848 Date_of_death = Jun2019 Prediction Error = -2.83 Date_of_death = May2019 Prediction Error = 0.6492 Date_of_death = Apr2019 Prediction Error = 2.679 Date_of_death = Mar2019 Prediction Error = -2.244 Date_of_death = Feb2019 Prediction Error = -1.74 Date_of_death = Jan2019 Prediction Error = 2.6035 Date_of_death = Dec2018 Prediction Error = -1.471 Date_of_death = Nov2018 Prediction Error = -0.309 Date_of_death = Oct2018 Prediction Error = 3.6754 Date_of_death = Sep2018 Prediction Error = 3.3231 Date_of_death = Aug2018 Prediction Error = -0.855 Date_of_death = Jul2018 Prediction Error = -0.866 Date_of_death = Jun2018 Prediction Error = -0.822 Date_of_death = May2018 Prediction Error = 2.8767 Date_of_death = Apr2018 Prediction Error = 2.909 Date_of_death = Mar2018 Prediction Error = 3.0543 Date_of_death = Feb2018 Prediction Error = 2.5833 Date_of_death = Jan2018 Prediction Error = 2.9539 Date_of_death = Dec2017 Prediction Error = 3.9981 Date_of_death = Nov2017 Prediction Error = -2.203 Date_of_death = Oct2017 Prediction Error = 4.1367 Date_of_death = Sep2017 Prediction Error = -0.516 Date_of_death = Aug2017 Prediction Error = -0.701 Date_of_death = Jul2017 Prediction Error = -0.709 Date_of_death = Jun2017 Prediction Error = -1.729 Date_of_death = May2017 Prediction Error = -2.106 Date_of_death = Apr2017 Prediction Error = 3.2237 Date_of_death = Mar2017 Prediction Error = 3.3793 Date_of_death = Feb2017 Prediction Error = -0.33 Date_of_death = Jan2017 Prediction Error = 1.1002 Date_of_death = Dec2016 Prediction Error = -1.036 Date_of_death = Nov2016 Prediction Error = 3.0597 Date_of_death = Oct2016 Prediction Error = -0.887 Date_of_death = Sep2016 Prediction Error = 3.779 Date_of_death = Aug2016 Prediction Error = 3.6318 Date_of_death = Jul2016 Prediction Error = -0.625 Date_of_death = Jun2016 Prediction Error = -2.78 Date_of_death = May2016 Prediction Error = 1.1078 Date_of_death = Apr2016 Prediction Error = -1.787 Date_of_death = Mar2016 Prediction Error = -0.606 Date_of_death = Feb2016 Prediction Error = 2.9271 Date_of_death = Jan2016 Prediction Error = -1.97 Date_of_death = Dec2015 Prediction Error = -1.048 Date_of_death = Nov2015 Prediction Error = 3.3212 Date_of_death = Oct2015 Prediction Error = -0.888 Date_of_death = Sep2015 Prediction Error = -1.301 Date_of_death = Aug2015 Prediction Error = -1.517 Date_of_death = Jul2015 Prediction Error = 0.3533 Date_of_death = Jun2015 Prediction Error = -3.012 Date_of_death = May2015 Prediction Error = -2.101 Date_of_death = Apr2015 Prediction Error = -1.99 Date_of_death = Mar2015 Prediction Error = 3.5819 Date_of_death = Feb2015 Prediction Error = 3.0818 Date_of_death = Jan2015 Prediction Error = -2.151 Date_of_death = Dec2014 Prediction Error = -0.08 Date_of_death = Nov2014 Prediction Error = -1.886 Date_of_death = Oct2014 Prediction Error = 1.126 Date_of_death = Sep2014 Prediction Error = 3.9526 Date_of_death = Aug2014 Prediction Error = 1.6125 Date_of_death = Jul2014 Prediction Error = 0.4028 Date_of_death = Jun2014 Prediction Error = 2.212 Date_of_death = May2014 Prediction Error = -1.084 Date_of_death = Apr2014 Prediction Error = 1.2145 Date_of_death = Mar2014 Prediction Error = -1.443 Date_of_death = Feb2014 Prediction Error = -0.952 Date_of_death = Jan2014 Prediction Error = 3.1546 Date_of_death = Dec2013 Prediction Error = 0.0015 Date_of_death = Nov2013 Prediction Error = 3.4986 Date_of_death = Oct2013 Prediction Error = 2.4472 Date_of_death = Sep2013 Prediction Error = -1.023 Date_of_death = Aug2013 Prediction Error = -1.421 Date_of_death = Jul2013 Prediction Error = -0.58 Date_of_death = Jun2013 Prediction Error = -2.993 Date_of_death = May2013 Prediction Error = -2.246 Date_of_death = Apr2013 Prediction Error = -1.958 Date_of_death = Mar2013 Prediction Error = 0.5872 Date_of_death = Feb2013 Prediction Error = 3.3134 Date_of_death = Jan2013 Prediction Error = -0.928 Date_of_death = Dec2012 Prediction Error = -1.104 Date_of_death = Nov2012 Prediction Error = -0.609 Date_of_death = Oct2012 Prediction Error = -0.699 Date_of_death = Sep2012 Prediction Error = -0.116 Date_of_death = Aug2012 Prediction Error = -0.538 Date_of_death = Jul2012 Prediction Error = 1.477 Date_of_death = Jun2012 Prediction Error = -3.304 Date_of_death = May2012 Prediction Error = -2.495 Date_of_death = Apr2012 Prediction Error = 0.0053 Date_of_death = Mar2012 Prediction Error = 1.6883 Date_of_death = Feb2012 Prediction Error = -0.819 Date_of_death = Jan2012 Prediction Error = -2.188 Date_of_death = Dec2011 Prediction Error = -0.19 Date_of_death = Nov2011 Prediction Error = -1.843 Date_of_death = Oct2011 Prediction Error = -0.851 Date_of_death = Sep2011 Prediction Error = -1.318 Date_of_death = Aug2011 Prediction Error = -0.688 Date_of_death = Jul2011 Prediction Error = 2.6078 Date_of_death = Jun2011 Prediction Error = 1.8059 Date_of_death = May2011 Prediction Error = -0.563 Date_of_death = Apr2011 Prediction Error = -2.22 Date_of_death = Mar2011 Prediction Error = 0.6951 Date_of_death = Feb2011 Prediction Error = 0.1507 Date_of_death = Jan2011 Prediction Error = -1.342 Date_of_death = Dec2010 Prediction Error = -1.354 Date_of_death = Nov2010 Prediction Error = -0.963 Date_of_death = Oct2010 Prediction Error = -0.972 Date_of_death = Sep2010 Prediction Error = -1.486 Date_of_death = Aug2010 Prediction Error = 2.5353 Date_of_death = Jul2010 Prediction Error = -1.579 Date_of_death = Jun2010 Prediction Error = 1.9369 Date_of_death = May2010 Prediction Error = -1.779 Date_of_death = Apr2010 Prediction Error = 0.8271 Date_of_death = Mar2010 Prediction Error = -0.377 Date_of_death = Feb2010 Prediction Error = 3.4525 Date_of_death = Jan2010 Prediction Error = -0.384 Date_of_death = Dec2009 Prediction Error = 1.8528 Date_of_death = Nov2009 Prediction Error = -2.165 Date_of_death = Oct2009 Prediction Error = 4.5378 Date_of_death = Sep2009 Prediction Error = -0.466 Date_of_death = Aug2009 Prediction Error = -0.47 Date_of_death = Jul2009 Prediction Error = -0.586 Date_of_death = Jun2009 Prediction Error = -0.031 Date_of_death = May2009 Prediction Error = 1.4247 Date_of_death = Apr2009 Prediction Error = -2.373 Date_of_death = Mar2009 Prediction Error = -1.496 Date_of_death = Feb2009 Prediction Error = -0.613 Date_of_death = Jan2009 Prediction Error = 2.9648 Date_of_death = Dec2008 Prediction Error = 4.372 Date_of_death = Nov2008 Prediction Error = -1.262 Date_of_death = Oct2008 Prediction Error = 0.6173 Date_of_death = Sep2008 Prediction Error = 1.7554 Date_of_death = Aug2008 Prediction Error = 1.7689 Date_of_death = Jul2008 Prediction Error = -0.61 Date_of_death = Jun2008 Prediction Error = 0.0152 Date_of_death = May2008 Prediction Error = 2.7865 Date_of_death = Apr2008 Prediction Error = -2.607 Date_of_death = Mar2008 Prediction Error = -1.619 Date_of_death = Feb2008 Prediction Error = 0.5097 Date_of_death = Jan2008 Prediction Error = 3.46 Date_of_death = Dec2007 Prediction Error = 0.4638 Date_of_death = Nov2007 Prediction Error = -1.402 Date_of_death = Oct2007 Prediction Error = -0.404 Date_of_death = Sep2007 Prediction Error = 0.8879 Date_of_death = Aug2007 Prediction Error = -0.256 Date_of_death = Jul2007 Prediction Error = -0.689 Date_of_death = Jun2007 Prediction Error = 0.0262 Date_of_death = May2007 Prediction Error = -2.562 Date_of_death = Apr2007 Prediction Error = 2.7425 Date_of_death = Mar2007 Prediction Error = -0.69 Date_of_death = Feb2007 Prediction Error = -0.551 Date_of_death = Jan2007 Prediction Error = -1.825 Date_of_death = Dec2006 Prediction Error = -0.662 Date_of_death = Nov2006 Prediction Error = -1.672 Date_of_death = Oct2006 Prediction Error = -0.509 Date_of_death = Sep2006 Prediction Error = 4.5186 Date_of_death = Aug2006 Prediction Error = -1.49 Date_of_death = Jul2006 Prediction Error = -2.002 Date_of_death = Jun2006 Prediction Error = -0.002 Date_of_death = May2006 Prediction Error = -1.846 Date_of_death = Apr2006 Prediction Error = 0.8251 Date_of_death = Mar2006 Prediction Error = 3.8486 Date_of_death = Feb2006 Prediction Error = 4.0404 Date_of_death = Jan2006 Prediction Error = -2.174 Date_of_death = Dec2005 Prediction Error = 0.429 Date_of_death = Nov2005 Prediction Error = 2.8447 Date_of_death = Oct2005 Prediction Error = 0.6493 Date_of_death = Sep2005 Prediction Error = -0.552 Date_of_death = Aug2005 Prediction Error = -0.554 Date_of_death = Jul2005 Prediction Error = -2.366 Date_of_death = Jun2005 Prediction Error = 2.4482 Date_of_death = May2005 Prediction Error = -2.162 Date_of_death = Apr2005 Prediction Error = -2.575 Date_of_death = Mar2005 Prediction Error = -1.382 Date_of_death = Feb2005 Prediction Error = 0.0187 Date_of_death = Jan2005 Prediction Error = -2.744 Date_of_death = Dec2004 Prediction Error = 0.5085 Date_of_death = Nov2004 Prediction Error = -2.753 Date_of_death = Oct2004 Prediction Error = 0.7498 Date_of_death = Sep2004 Prediction Error = 0.5019 Date_of_death = Aug2004 Prediction Error = -0.751 Date_of_death = Jul2004 Prediction Error = -3.015 Date_of_death = Jun2004 Prediction Error = 2.998 Date_of_death = May2004 Prediction Error = 2.258 Date_of_death = Apr2004 Prediction Error = 3.0216 Date_of_death = Mar2004 Prediction Error = 4.5423 Date_of_death = Feb2004 Prediction Error = -1.212 Date_of_death = Jan2004 Prediction Error = -2.305 Date_of_death = Dec2003 Prediction Error = -0.639 Date_of_death = Nov2003 Prediction Error = -2.313 Date_of_death = Oct2003 Prediction Error = -0.314 Date_of_death = Sep2003 Prediction Error = 0.6893 Date_of_death = Aug2003 Prediction Error = 0.3579 Date_of_death = Jul2003 Prediction Error = -3.989 Date_of_death = Jun2003 Prediction Error = 0.0116 Date_of_death = May2003 Prediction Error = -2.33 Date_of_death = Apr2003 Prediction Error = -1.334 Date_of_death = Mar2003 Prediction Error = 2.0058 Date_of_death = Feb2003 Prediction Error = -1.667 Date_of_death = Jan2003 Prediction Error = -5.01 Date_of_death = Dec2002 Prediction Error = 1.9942 Date_of_death = Nov2002 Prediction Error = 2.4999 Date_of_death = Oct2002 Prediction Error = 1.0021 Date_of_death = Sep2002 Prediction Error = -0.499 Date_of_death = Aug2002 Prediction Error = -2.506 Date_of_death = Jul2002 Prediction Error = 1.4973 Date_of_death = Jun2002 Prediction Error = 4.5084 Date_of_death = May2002 Prediction Error = -0.493 Date_of_death = Apr2002 Prediction Error = -3.501 Date_of_death = Mar2002 Prediction Error = -0.002 Date_of_death = Feb2002 Prediction Error = -2.509 Date_of_death = Jan2002 Prediction Error = -0.003 Date_of_death = Dec2001 Prediction Error = -0.004 Date_of_death = Nov2001 Prediction Error = -5.013 Date_of_death = Oct2001 Prediction Error = -0.015 Date_of_death = Sep2001 Prediction Error = 0.9844 Date_of_death = Aug2001 Prediction Error = 4.9903 Date_of_death = Jul2001 Prediction Error = 2.9937 Date_of_death = Jun2001 Prediction Error = 0.9945 Date_of_death = May2001 Prediction Error = 2.9985 Date_of_death = Apr2001 Prediction Error = -3.006 Date_of_death = Mar2001 Prediction Error = -0.007 Date_of_death = Feb2001 Prediction Error = 5 Date_of_death = Oct2019 2*STD = 4.0324 -2*STD = -4.032 Date_of_death = Sep2019 2*STD = 4.0324 -2*STD = -4.032 Date_of_death = Sep2019 2*STD = 4.0324 -2*STD = -4.032 Date_of_death = Aug2019 2*STD = 4.0325 -2*STD = -4.032 Date_of_death = Aug2019 2*STD = 4.0325 -2*STD = -4.032 Date_of_death = Jul2019 2*STD = 4.0325 -2*STD = -4.032 Date_of_death = Jul2019 2*STD = 4.0325 -2*STD = -4.032 Date_of_death = Jun2019 2*STD = 4.0325 -2*STD = -4.033 Date_of_death = Jun2019 2*STD = 4.0325 -2*STD = -4.033 Date_of_death = May2019 2*STD = 4.0325 -2*STD = -4.033 Date_of_death = May2019 2*STD = 4.0325 -2*STD = -4.033 Date_of_death = Apr2019 2*STD = 4.0326 -2*STD = -4.033 Date_of_death = Apr2019 2*STD = 4.0326 -2*STD = -4.033 Date_of_death = Mar2019 2*STD = 4.0326 -2*STD = -4.033 Date_of_death = Mar2019 2*STD = 4.0326 -2*STD = -4.033 Date_of_death = Feb2019 2*STD = 4.0326 -2*STD = -4.033 Date_of_death = Feb2019 2*STD = 4.0326 -2*STD = -4.033 Date_of_death = Jan2019 2*STD = 4.0375 -2*STD = -4.037 Date_of_death = Jan2019 2*STD = 4.0375 -2*STD = -4.037 Date_of_death = Dec2018 2*STD = 4.0375 -2*STD = -4.038 Date_of_death = Dec2018 2*STD = 4.0375 -2*STD = -4.038 Date_of_death = Nov2018 2*STD = 4.0375 -2*STD = -4.038 Date_of_death = Nov2018 2*STD = 4.0375 -2*STD = -4.038 Date_of_death = Oct2018 2*STD = 4.0376 -2*STD = -4.038 Date_of_death = Oct2018 2*STD = 4.0376 -2*STD = -4.038 Date_of_death = Sep2018 2*STD = 4.0376 -2*STD = -4.038 Date_of_death = Sep2018 2*STD = 4.0376 -2*STD = -4.038 Date_of_death = Aug2018 2*STD = 4.0376 -2*STD = -4.038 Date_of_death = Aug2018 2*STD = 4.0376 -2*STD = -4.038 Date_of_death = Jul2018 2*STD = 4.0376 -2*STD = -4.038 Date_of_death = Jul2018 2*STD = 4.0376 -2*STD = -4.038 Date_of_death = Jun2018 2*STD = 4.0377 -2*STD = -4.038 Date_of_death = Jun2018 2*STD = 4.0377 -2*STD = -4.038 Date_of_death = May2018 2*STD = 4.0377 -2*STD = -4.038 Date_of_death = May2018 2*STD = 4.0377 -2*STD = -4.038 Date_of_death = Apr2018 2*STD = 4.0377 -2*STD = -4.038 Date_of_death = Apr2018 2*STD = 4.0377 -2*STD = -4.038 Date_of_death = Mar2018 2*STD = 4.0378 -2*STD = -4.038 Date_of_death = Mar2018 2*STD = 4.0378 -2*STD = -4.038 Date_of_death = Feb2018 2*STD = 4.0378 -2*STD = -4.038 Date_of_death = Feb2018 2*STD = 4.0378 -2*STD = -4.038 Date_of_death = Jan2018 2*STD = 4.0432 -2*STD = -4.043 Date_of_death = Jan2018 2*STD = 4.0432 -2*STD = -4.043 Date_of_death = Dec2017 2*STD = 4.0433 -2*STD = -4.043 Date_of_death = Dec2017 2*STD = 4.0433 -2*STD = -4.043 Date_of_death = Nov2017 2*STD = 4.0433 -2*STD = -4.043 Date_of_death = Nov2017 2*STD = 4.0433 -2*STD = -4.043 Date_of_death = Oct2017 2*STD = 4.0433 -2*STD = -4.043 Date_of_death = Oct2017 2*STD = 4.0433 -2*STD = -4.043 Date_of_death = Sep2017 2*STD = 4.0433 -2*STD = -4.043 Date_of_death = Sep2017 2*STD = 4.0433 -2*STD = -4.043 Date_of_death = Aug2017 2*STD = 4.0434 -2*STD = -4.043 Date_of_death = Aug2017 2*STD = 4.0434 -2*STD = -4.043 Date_of_death = Jul2017 2*STD = 4.0434 -2*STD = -4.043 Date_of_death = Jul2017 2*STD = 4.0434 -2*STD = -4.043 Date_of_death = Jun2017 2*STD = 4.0434 -2*STD = -4.043 Date_of_death = Jun2017 2*STD = 4.0434 -2*STD = -4.043 Date_of_death = May2017 2*STD = 4.0434 -2*STD = -4.043 Date_of_death = May2017 2*STD = 4.0434 -2*STD = -4.043 Date_of_death = Apr2017 2*STD = 4.0435 -2*STD = -4.043 Date_of_death = Apr2017 2*STD = 4.0435 -2*STD = -4.043 Date_of_death = Mar2017 2*STD = 4.0435 -2*STD = -4.044 Date_of_death = Mar2017 2*STD = 4.0435 -2*STD = -4.044 Date_of_death = Feb2017 2*STD = 4.0435 -2*STD = -4.044 Date_of_death = Feb2017 2*STD = 4.0435 -2*STD = -4.044 Date_of_death = Jan2017 2*STD = 4.0497 -2*STD = -4.05 Date_of_death = Jan2017 2*STD = 4.0497 -2*STD = -4.05 Date_of_death = Dec2016 2*STD = 4.0497 -2*STD = -4.05 Date_of_death = Dec2016 2*STD = 4.0497 -2*STD = -4.05 Date_of_death = Nov2016 2*STD = 4.0497 -2*STD = -4.05 Date_of_death = Nov2016 2*STD = 4.0497 -2*STD = -4.05 Date_of_death = Oct2016 2*STD = 4.0498 -2*STD = -4.05 Date_of_death = Oct2016 2*STD = 4.0498 -2*STD = -4.05 Date_of_death = Sep2016 2*STD = 4.0498 -2*STD = -4.05 Date_of_death = Sep2016 2*STD = 4.0498 -2*STD = -4.05 Date_of_death = Aug2016 2*STD = 4.0498 -2*STD = -4.05 Date_of_death = Aug2016 2*STD = 4.0498 -2*STD = -4.05 Date_of_death = Jul2016 2*STD = 4.0498 -2*STD = -4.05 Date_of_death = Jul2016 2*STD = 4.0498 -2*STD = -4.05 Date_of_death = Jun2016 2*STD = 4.0499 -2*STD = -4.05 Date_of_death = Jun2016 2*STD = 4.0499 -2*STD = -4.05 Date_of_death = May2016 2*STD = 4.0499 -2*STD = -4.05 Date_of_death = May2016 2*STD = 4.0499 -2*STD = -4.05 Date_of_death = Apr2016 2*STD = 4.0499 -2*STD = -4.05 Date_of_death = Apr2016 2*STD = 4.0499 -2*STD = -4.05 Date_of_death = Mar2016 2*STD = 4.05 -2*STD = -4.05 Date_of_death = Mar2016 2*STD = 4.05 -2*STD = -4.05 Date_of_death = Feb2016 2*STD = 4.05 -2*STD = -4.05 Date_of_death = Feb2016 2*STD = 4.05 -2*STD = -4.05 Date_of_death = Jan2016 2*STD = 4.057 -2*STD = -4.057 Date_of_death = Jan2016 2*STD = 4.057 -2*STD = -4.057 Date_of_death = Dec2015 2*STD = 4.057 -2*STD = -4.057 Date_of_death = Dec2015 2*STD = 4.057 -2*STD = -4.057 Date_of_death = Nov2015 2*STD = 4.0571 -2*STD = -4.057 Date_of_death = Nov2015 2*STD = 4.0571 -2*STD = -4.057 Date_of_death = Oct2015 2*STD = 4.0571 -2*STD = -4.057 Date_of_death = Oct2015 2*STD = 4.0571 -2*STD = -4.057 Date_of_death = Sep2015 2*STD = 4.0571 -2*STD = -4.057 Date_of_death = Sep2015 2*STD = 4.0571 -2*STD = -4.057 Date_of_death = Aug2015 2*STD = 4.0571 -2*STD = -4.057 Date_of_death = Aug2015 2*STD = 4.0571 -2*STD = -4.057 Date_of_death = Jul2015 2*STD = 4.0572 -2*STD = -4.057 Date_of_death = Jul2015 2*STD = 4.0572 -2*STD = -4.057 Date_of_death = Jun2015 2*STD = 4.0572 -2*STD = -4.057 Date_of_death = Jun2015 2*STD = 4.0572 -2*STD = -4.057 Date_of_death = May2015 2*STD = 4.0572 -2*STD = -4.057 Date_of_death = May2015 2*STD = 4.0572 -2*STD = -4.057 Date_of_death = Apr2015 2*STD = 4.0573 -2*STD = -4.057 Date_of_death = Apr2015 2*STD = 4.0573 -2*STD = -4.057 Date_of_death = Mar2015 2*STD = 4.0573 -2*STD = -4.057 Date_of_death = Mar2015 2*STD = 4.0573 -2*STD = -4.057 Date_of_death = Feb2015 2*STD = 4.0573 -2*STD = -4.057 Date_of_death = Feb2015 2*STD = 4.0573 -2*STD = -4.057 Date_of_death = Jan2015 2*STD = 4.0654 -2*STD = -4.065 Date_of_death = Jan2015 2*STD = 4.0654 -2*STD = -4.065 Date_of_death = Dec2014 2*STD = 4.0654 -2*STD = -4.065 Date_of_death = Dec2014 2*STD = 4.0654 -2*STD = -4.065 Date_of_death = Nov2014 2*STD = 4.0654 -2*STD = -4.065 Date_of_death = Nov2014 2*STD = 4.0654 -2*STD = -4.065 Date_of_death = Oct2014 2*STD = 4.0655 -2*STD = -4.065 Date_of_death = Oct2014 2*STD = 4.0655 -2*STD = -4.065 Date_of_death = Sep2014 2*STD = 4.0655 -2*STD = -4.065 Date_of_death = Sep2014 2*STD = 4.0655 -2*STD = -4.065 Date_of_death = Aug2014 2*STD = 4.0655 -2*STD = -4.066 Date_of_death = Aug2014 2*STD = 4.0655 -2*STD = -4.066 Date_of_death = Jul2014 2*STD = 4.0655 -2*STD = -4.066 Date_of_death = Jul2014 2*STD = 4.0655 -2*STD = -4.066 Date_of_death = Jun2014 2*STD = 4.0656 -2*STD = -4.066 Date_of_death = Jun2014 2*STD = 4.0656 -2*STD = -4.066 Date_of_death = May2014 2*STD = 4.0656 -2*STD = -4.066 Date_of_death = May2014 2*STD = 4.0656 -2*STD = -4.066 Date_of_death = Apr2014 2*STD = 4.0656 -2*STD = -4.066 Date_of_death = Apr2014 2*STD = 4.0656 -2*STD = -4.066 Date_of_death = Mar2014 2*STD = 4.0657 -2*STD = -4.066 Date_of_death = Mar2014 2*STD = 4.0657 -2*STD = -4.066 Date_of_death = Feb2014 2*STD = 4.0657 -2*STD = -4.066 Date_of_death = Feb2014 2*STD = 4.0657 -2*STD = -4.066 Date_of_death = Jan2014 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Jan2014 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Dec2013 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Dec2013 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Nov2013 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Nov2013 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Oct2013 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Oct2013 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Sep2013 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Sep2013 2*STD = 4.0751 -2*STD = -4.075 Date_of_death = Aug2013 2*STD = 4.0752 -2*STD = -4.075 Date_of_death = Aug2013 2*STD = 4.0752 -2*STD = -4.075 Date_of_death = Jul2013 2*STD = 4.0752 -2*STD = -4.075 Date_of_death = Jul2013 2*STD = 4.0752 -2*STD = -4.075 Date_of_death = Jun2013 2*STD = 4.0752 -2*STD = -4.075 Date_of_death = Jun2013 2*STD = 4.0752 -2*STD = -4.075 Date_of_death = May2013 2*STD = 4.0753 -2*STD = -4.075 Date_of_death = May2013 2*STD = 4.0753 -2*STD = -4.075 Date_of_death = Apr2013 2*STD = 4.0753 -2*STD = -4.075 Date_of_death = Apr2013 2*STD = 4.0753 -2*STD = -4.075 Date_of_death = Mar2013 2*STD = 4.0753 -2*STD = -4.075 Date_of_death = Mar2013 2*STD = 4.0753 -2*STD = -4.075 Date_of_death = Feb2013 2*STD = 4.0754 -2*STD = -4.075 Date_of_death = Feb2013 2*STD = 4.0754 -2*STD = -4.075 Date_of_death = Jan2013 2*STD = 4.0863 -2*STD = -4.086 Date_of_death = Jan2013 2*STD = 4.0863 -2*STD = -4.086 Date_of_death = Dec2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Dec2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Nov2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Nov2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Oct2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Oct2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Sep2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Sep2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Aug2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Aug2012 2*STD = 4.0864 -2*STD = -4.086 Date_of_death = Jul2012 2*STD = 4.0865 -2*STD = -4.086 Date_of_death = Jul2012 2*STD = 4.0865 -2*STD = -4.086 Date_of_death = Jun2012 2*STD = 4.0865 -2*STD = -4.087 Date_of_death = Jun2012 2*STD = 4.0865 -2*STD = -4.087 Date_of_death = May2012 2*STD = 4.0865 -2*STD = -4.087 Date_of_death = May2012 2*STD = 4.0865 -2*STD = -4.087 Date_of_death = Apr2012 2*STD = 4.0866 -2*STD = -4.087 Date_of_death = Apr2012 2*STD = 4.0866 -2*STD = -4.087 Date_of_death = Mar2012 2*STD = 4.0866 -2*STD = -4.087 Date_of_death = Mar2012 2*STD = 4.0866 -2*STD = -4.087 Date_of_death = Feb2012 2*STD = 4.0867 -2*STD = -4.087 Date_of_death = Feb2012 2*STD = 4.0867 -2*STD = -4.087 Date_of_death = Jan2012 2*STD = 4.0997 -2*STD = -4.1 Date_of_death = Jan2012 2*STD = 4.0997 -2*STD = -4.1 Date_of_death = Dec2011 2*STD = 4.0997 -2*STD = -4.1 Date_of_death = Dec2011 2*STD = 4.0997 -2*STD = -4.1 Date_of_death = Nov2011 2*STD = 4.0997 -2*STD = -4.1 Date_of_death = Nov2011 2*STD = 4.0997 -2*STD = -4.1 Date_of_death = Oct2011 2*STD = 4.0997 -2*STD = -4.1 Date_of_death = Oct2011 2*STD = 4.0997 -2*STD = -4.1 Date_of_death = Sep2011 2*STD = 4.0998 -2*STD = -4.1 Date_of_death = Sep2011 2*STD = 4.0998 -2*STD = -4.1 Date_of_death = Aug2011 2*STD = 4.0998 -2*STD = -4.1 Date_of_death = Aug2011 2*STD = 4.0998 -2*STD = -4.1 Date_of_death = Jul2011 2*STD = 4.0998 -2*STD = -4.1 Date_of_death = Jul2011 2*STD = 4.0998 -2*STD = -4.1 Date_of_death = Jun2011 2*STD = 4.0998 -2*STD = -4.1 Date_of_death = Jun2011 2*STD = 4.0998 -2*STD = -4.1 Date_of_death = May2011 2*STD = 4.0999 -2*STD = -4.1 Date_of_death = May2011 2*STD = 4.0999 -2*STD = -4.1 Date_of_death = Apr2011 2*STD = 4.0999 -2*STD = -4.1 Date_of_death = Apr2011 2*STD = 4.0999 -2*STD = -4.1 Date_of_death = Mar2011 2*STD = 4.0999 -2*STD = -4.1 Date_of_death = Mar2011 2*STD = 4.0999 -2*STD = -4.1 Date_of_death = Feb2011 2*STD = 4.1 -2*STD = -4.1 Date_of_death = Feb2011 2*STD = 4.1 -2*STD = -4.1 Date_of_death = Jan2011 2*STD = 4.1157 -2*STD = -4.116 Date_of_death = Jan2011 2*STD = 4.1157 -2*STD = -4.116 Date_of_death = Dec2010 2*STD = 4.1157 -2*STD = -4.116 Date_of_death = Dec2010 2*STD = 4.1157 -2*STD = -4.116 Date_of_death = Nov2010 2*STD = 4.1157 -2*STD = -4.116 Date_of_death = Nov2010 2*STD = 4.1157 -2*STD = -4.116 Date_of_death = Oct2010 2*STD = 4.1157 -2*STD = -4.116 Date_of_death = Oct2010 2*STD = 4.1157 -2*STD = -4.116 Date_of_death = Sep2010 2*STD = 4.1158 -2*STD = -4.116 Date_of_death = Sep2010 2*STD = 4.1158 -2*STD = -4.116 Date_of_death = Aug2010 2*STD = 4.1158 -2*STD = -4.116 Date_of_death = Aug2010 2*STD = 4.1158 -2*STD = -4.116 Date_of_death = Jul2010 2*STD = 4.1158 -2*STD = -4.116 Date_of_death = Jul2010 2*STD = 4.1158 -2*STD = -4.116 Date_of_death = Jun2010 2*STD = 4.1158 -2*STD = -4.116 Date_of_death = Jun2010 2*STD = 4.1158 -2*STD = -4.116 Date_of_death = May2010 2*STD = 4.1159 -2*STD = -4.116 Date_of_death = May2010 2*STD = 4.1159 -2*STD = -4.116 Date_of_death = Apr2010 2*STD = 4.1159 -2*STD = -4.116 Date_of_death = Apr2010 2*STD = 4.1159 -2*STD = -4.116 Date_of_death = Mar2010 2*STD = 4.1159 -2*STD = -4.116 Date_of_death = Mar2010 2*STD = 4.1159 -2*STD = -4.116 Date_of_death = Feb2010 2*STD = 4.116 -2*STD = -4.116 Date_of_death = Feb2010 2*STD = 4.116 -2*STD = -4.116 Date_of_death = Jan2010 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Jan2010 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Dec2009 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Dec2009 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Nov2009 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Nov2009 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Oct2009 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Oct2009 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Sep2009 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Sep2009 2*STD = 4.1353 -2*STD = -4.135 Date_of_death = Aug2009 2*STD = 4.1354 -2*STD = -4.135 Date_of_death = Aug2009 2*STD = 4.1354 -2*STD = -4.135 Date_of_death = Jul2009 2*STD = 4.1354 -2*STD = -4.135 Date_of_death = Jul2009 2*STD = 4.1354 -2*STD = -4.135 Date_of_death = Jun2009 2*STD = 4.1354 -2*STD = -4.135 Date_of_death = Jun2009 2*STD = 4.1354 -2*STD = -4.135 Date_of_death = May2009 2*STD = 4.1354 -2*STD = -4.135 Date_of_death = May2009 2*STD = 4.1354 -2*STD = -4.135 Date_of_death = Apr2009 2*STD = 4.1355 -2*STD = -4.135 Date_of_death = Apr2009 2*STD = 4.1355 -2*STD = -4.135 Date_of_death = Mar2009 2*STD = 4.1355 -2*STD = -4.136 Date_of_death = Mar2009 2*STD = 4.1355 -2*STD = -4.136 Date_of_death = Feb2009 2*STD = 4.1355 -2*STD = -4.136 Date_of_death = Feb2009 2*STD = 4.1355 -2*STD = -4.136 Date_of_death = Jan2009 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Jan2009 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Dec2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Dec2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Nov2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Nov2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Oct2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Oct2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Sep2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Sep2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Aug2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Aug2008 2*STD = 4.1598 -2*STD = -4.16 Date_of_death = Jul2008 2*STD = 4.1599 -2*STD = -4.16 Date_of_death = Jul2008 2*STD = 4.1599 -2*STD = -4.16 Date_of_death = Jun2008 2*STD = 4.1599 -2*STD = -4.16 Date_of_death = Jun2008 2*STD = 4.1599 -2*STD = -4.16 Date_of_death = May2008 2*STD = 4.1599 -2*STD = -4.16 Date_of_death = May2008 2*STD = 4.1599 -2*STD = -4.16 Date_of_death = Apr2008 2*STD = 4.1599 -2*STD = -4.16 Date_of_death = Apr2008 2*STD = 4.1599 -2*STD = -4.16 Date_of_death = Mar2008 2*STD = 4.16 -2*STD = -4.16 Date_of_death = Mar2008 2*STD = 4.16 -2*STD = -4.16 Date_of_death = Feb2008 2*STD = 4.16 -2*STD = -4.16 Date_of_death = Feb2008 2*STD = 4.16 -2*STD = -4.16 Date_of_death = Jan2008 2*STD = 4.1912 -2*STD = -4.191 Date_of_death = Jan2008 2*STD = 4.1912 -2*STD = -4.191 Date_of_death = Dec2007 2*STD = 4.1912 -2*STD = -4.191 Date_of_death = Dec2007 2*STD = 4.1912 -2*STD = -4.191 Date_of_death = Nov2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Nov2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Oct2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Oct2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Sep2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Sep2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Aug2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Aug2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Jul2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Jul2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Jun2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = Jun2007 2*STD = 4.1913 -2*STD = -4.191 Date_of_death = May2007 2*STD = 4.1914 -2*STD = -4.191 Date_of_death = May2007 2*STD = 4.1914 -2*STD = -4.191 Date_of_death = Apr2007 2*STD = 4.1914 -2*STD = -4.191 Date_of_death = Apr2007 2*STD = 4.1914 -2*STD = -4.191 Date_of_death = Mar2007 2*STD = 4.1914 -2*STD = -4.191 Date_of_death = Mar2007 2*STD = 4.1914 -2*STD = -4.191 Date_of_death = Feb2007 2*STD = 4.1915 -2*STD = -4.191 Date_of_death = Feb2007 2*STD = 4.1915 -2*STD = -4.191 Date_of_death = Jan2007 2*STD = 4.2331 -2*STD = -4.233 Date_of_death = Jan2007 2*STD = 4.2331 -2*STD = -4.233 Date_of_death = Dec2006 2*STD = 4.2331 -2*STD = -4.233 Date_of_death = Dec2006 2*STD = 4.2331 -2*STD = -4.233 Date_of_death = Nov2006 2*STD = 4.2331 -2*STD = -4.233 Date_of_death = Nov2006 2*STD = 4.2331 -2*STD = -4.233 Date_of_death = Oct2006 2*STD = 4.2331 -2*STD = -4.233 Date_of_death = Oct2006 2*STD = 4.2331 -2*STD = -4.233 Date_of_death = Sep2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Sep2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Aug2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Aug2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Jul2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Jul2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Jun2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Jun2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = May2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = May2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Apr2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Apr2006 2*STD = 4.2332 -2*STD = -4.233 Date_of_death = Mar2006 2*STD = 4.2333 -2*STD = -4.233 Date_of_death = Mar2006 2*STD = 4.2333 -2*STD = -4.233 Date_of_death = Feb2006 2*STD = 4.2333 -2*STD = -4.233 Date_of_death = Feb2006 2*STD = 4.2333 -2*STD = -4.233 Date_of_death = Jan2006 2*STD = 4.2914 -2*STD = -4.291 Date_of_death = Jan2006 2*STD = 4.2914 -2*STD = -4.291 Date_of_death = Dec2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Dec2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Nov2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Nov2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Oct2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Oct2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Sep2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Sep2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Aug2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Aug2005 2*STD = 4.2915 -2*STD = -4.291 Date_of_death = Jul2005 2*STD = 4.2915 -2*STD = -4.292 Date_of_death = Jul2005 2*STD = 4.2915 -2*STD = -4.292 Date_of_death = Jun2005 2*STD = 4.2915 -2*STD = -4.292 Date_of_death = Jun2005 2*STD = 4.2915 -2*STD = -4.292 Date_of_death = May2005 2*STD = 4.2915 -2*STD = -4.292 Date_of_death = May2005 2*STD = 4.2915 -2*STD = -4.292 Date_of_death = Apr2005 2*STD = 4.2916 -2*STD = -4.292 Date_of_death = Apr2005 2*STD = 4.2916 -2*STD = -4.292 Date_of_death = Mar2005 2*STD = 4.2916 -2*STD = -4.292 Date_of_death = Mar2005 2*STD = 4.2916 -2*STD = -4.292 Date_of_death = Feb2005 2*STD = 4.2916 -2*STD = -4.292 Date_of_death = Feb2005 2*STD = 4.2916 -2*STD = -4.292 Date_of_death = Jan2005 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Jan2005 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Dec2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Dec2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Nov2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Nov2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Oct2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Oct2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Sep2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Sep2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Aug2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Aug2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Jul2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Jul2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Jun2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Jun2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = May2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = May2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Apr2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Apr2004 2*STD = 4.3781 -2*STD = -4.378 Date_of_death = Mar2004 2*STD = 4.3782 -2*STD = -4.378 Date_of_death = Mar2004 2*STD = 4.3782 -2*STD = -4.378 Date_of_death = Feb2004 2*STD = 4.3782 -2*STD = -4.378 Date_of_death = Feb2004 2*STD = 4.3782 -2*STD = -4.378 Date_of_death = Jan2004 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Jan2004 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Dec2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Dec2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Nov2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Nov2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Oct2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Oct2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Sep2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Sep2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Aug2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Aug2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Jul2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Jul2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Jun2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Jun2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = May2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = May2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Apr2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Apr2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Mar2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Mar2003 2*STD = 4.5196 -2*STD = -4.52 Date_of_death = Feb2003 2*STD = 4.5197 -2*STD = -4.52 Date_of_death = Feb2003 2*STD = 4.5197 -2*STD = -4.52 Date_of_death = Jan2003 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Jan2003 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Dec2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Dec2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Nov2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Nov2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Oct2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Oct2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Sep2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Sep2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Aug2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Aug2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Jul2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Jul2002 2*STD = 4.7914 -2*STD = -4.791 Date_of_death = Jun2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = Jun2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = May2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = May2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = Apr2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = Apr2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = Mar2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = Mar2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = Feb2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = Feb2002 2*STD = 4.7915 -2*STD = -4.791 Date_of_death = Jan2002 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Jan2002 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Dec2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Dec2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Nov2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Nov2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Oct2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Oct2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Sep2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Sep2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Aug2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Aug2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Jul2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Jul2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Jun2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Jun2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = May2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = May2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Apr2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Apr2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Mar2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Mar2001 2*STD = 5.5299 -2*STD = -5.53 Date_of_death = Feb2001 2*STD = 5.5299 -2*STD = -5.53 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
238 NOV2019 3.238375 2.01620 -0.713297 7.190047
239 DEC2019 2.342190 2.01632 -1.609730 6.294111
240 JAN2020 3.498637 2.01645 -0.453529 7.450804
241 FEB2020 3.588838 2.01441 -0.359335 7.537011
242 MAR2020 3.087462 2.01453 -0.860953 7.035877
243 APR2020 3.436087 2.01466 -0.512568 7.384742
244 MAY2020 3.334711 2.01478 -0.614182 7.283604
245 JUN2020 3.633334 2.01490 -0.315795 7.582463
246 JUL2020 2.731959 2.01502 -1.217404 6.681322
247 AUG2020 2.980584 2.01514 -0.969011 6.930179
248 SEP2020 2.779208 2.01525 -1.170617 6.729033
249 OCT2020 2.427833 2.01537 -1.522221 6.377887

Forecasts Only Plot

Date_of_death = Oct2020 Forecast = 2.4278 Date_of_death = Sep2020 Forecast = 2.7792 Date_of_death = Sep2020 Forecast = 2.7792 Date_of_death = Aug2020 Forecast = 2.9806 Date_of_death = Aug2020 Forecast = 2.9806 Date_of_death = Jul2020 Forecast = 2.7320 Date_of_death = Jul2020 Forecast = 2.7320 Date_of_death = Jun2020 Forecast = 3.6333 Date_of_death = Jun2020 Forecast = 3.6333 Date_of_death = May2020 Forecast = 3.3347 Date_of_death = May2020 Forecast = 3.3347 Date_of_death = Apr2020 Forecast = 3.4361 Date_of_death = Apr2020 Forecast = 3.4361 Date_of_death = Mar2020 Forecast = 3.0875 Date_of_death = Mar2020 Forecast = 3.0875 Date_of_death = Feb2020 Forecast = 3.5888 Date_of_death = Feb2020 Forecast = 3.5888 Date_of_death = Jan2020 Forecast = 3.4986 Date_of_death = Jan2020 Forecast = 3.4986 Date_of_death = Dec2019 Forecast = 2.3422 Date_of_death = Dec2019 Forecast = 2.3422 Date_of_death = Nov2019 Forecast = 3.2384 Date_of_death = Oct2020 Upper 95% = 6.3779 Lower 95% = -1.5222 Date_of_death = Sep2020 Upper 95% = 6.7290 Lower 95% = -1.1706 Date_of_death = Sep2020 Upper 95% = 6.7290 Lower 95% = -1.1706 Date_of_death = Aug2020 Upper 95% = 6.9302 Lower 95% = -0.9690 Date_of_death = Aug2020 Upper 95% = 6.9302 Lower 95% = -0.9690 Date_of_death = Jul2020 Upper 95% = 6.6813 Lower 95% = -1.2174 Date_of_death = Jul2020 Upper 95% = 6.6813 Lower 95% = -1.2174 Date_of_death = Jun2020 Upper 95% = 7.5825 Lower 95% = -0.3158 Date_of_death = Jun2020 Upper 95% = 7.5825 Lower 95% = -0.3158 Date_of_death = May2020 Upper 95% = 7.2836 Lower 95% = -0.6142 Date_of_death = May2020 Upper 95% = 7.2836 Lower 95% = -0.6142 Date_of_death = Apr2020 Upper 95% = 7.3847 Lower 95% = -0.5126 Date_of_death = Apr2020 Upper 95% = 7.3847 Lower 95% = -0.5126 Date_of_death = Mar2020 Upper 95% = 7.0359 Lower 95% = -0.8610 Date_of_death = Mar2020 Upper 95% = 7.0359 Lower 95% = -0.8610 Date_of_death = Feb2020 Upper 95% = 7.5370 Lower 95% = -0.3593 Date_of_death = Feb2020 Upper 95% = 7.5370 Lower 95% = -0.3593 Date_of_death = Jan2020 Upper 95% = 7.4508 Lower 95% = -0.4535 Date_of_death = Jan2020 Upper 95% = 7.4508 Lower 95% = -0.4535 Date_of_death = Dec2019 Upper 95% = 6.2941 Lower 95% = -1.6097 Date_of_death = Dec2019 Upper 95% = 6.2941 Lower 95% = -1.6097 Date_of_death = Nov2019 Upper 95% = 7.1900 Lower 95% = -0.7133
Forecast Only Plot

Forecasts Plot

X = 21823 Date_of_death = Oct2020 Forecast = 2.4278 Date_of_death = Sep2020 Forecast = 2.7792 Date_of_death = Sep2020 Forecast = 2.7792 Date_of_death = Aug2020 Forecast = 2.9806 Date_of_death = Aug2020 Forecast = 2.9806 Date_of_death = Jul2020 Forecast = 2.7320 Date_of_death = Jul2020 Forecast = 2.7320 Date_of_death = Jun2020 Forecast = 3.6333 Date_of_death = Jun2020 Forecast = 3.6333 Date_of_death = May2020 Forecast = 3.3347 Date_of_death = May2020 Forecast = 3.3347 Date_of_death = Apr2020 Forecast = 3.4361 Date_of_death = Apr2020 Forecast = 3.4361 Date_of_death = Mar2020 Forecast = 3.0875 Date_of_death = Mar2020 Forecast = 3.0875 Date_of_death = Feb2020 Forecast = 3.5888 Date_of_death = Feb2020 Forecast = 3.5888 Date_of_death = Jan2020 Forecast = 3.4986 Date_of_death = Jan2020 Forecast = 3.4986 Date_of_death = Dec2019 Forecast = 2.3422 Date_of_death = Dec2019 Forecast = 2.3422 Date_of_death = Nov2019 Forecast = 3.2384 Date_of_death = Nov2019 Forecast = 3.2384 Date_of_death = Oct2019 Forecast = 2.5208 Date_of_death = Oct2019 Forecast = 2.5208 Date_of_death = Sep2019 Forecast = 2.9132 Date_of_death = Sep2019 Forecast = 2.9132 Date_of_death = Aug2019 Forecast = 2.8250 Date_of_death = Aug2019 Forecast = 2.8250 Date_of_death = Jul2019 Forecast = 2.8481 Date_of_death = Jul2019 Forecast = 2.8481 Date_of_death = Jun2019 Forecast = 3.8304 Date_of_death = Jun2019 Forecast = 3.8304 Date_of_death = May2019 Forecast = 3.3508 Date_of_death = May2019 Forecast = 3.3508 Date_of_death = Apr2019 Forecast = 3.3210 Date_of_death = Apr2019 Forecast = 3.3210 Date_of_death = Mar2019 Forecast = 3.2437 Date_of_death = Mar2019 Forecast = 3.2437 Date_of_death = Feb2019 Forecast = 3.7397 Date_of_death = Feb2019 Forecast = 3.7397 Date_of_death = Jan2019 Forecast = 3.3965 Date_of_death = Jan2019 Forecast = 3.3965 Date_of_death = Dec2018 Forecast = 2.4707 Date_of_death = Dec2018 Forecast = 2.4707 Date_of_death = Nov2018 Forecast = 3.3094 Date_of_death = Nov2018 Forecast = 3.3094 Date_of_death = Oct2018 Forecast = 2.3246 Date_of_death = Oct2018 Forecast = 2.3246 Date_of_death = Sep2018 Forecast = 2.6769 Date_of_death = Sep2018 Forecast = 2.6769 Date_of_death = Aug2018 Forecast = 2.8548 Date_of_death = Aug2018 Forecast = 2.8548 Date_of_death = Jul2018 Forecast = 2.8662 Date_of_death = Jul2018 Forecast = 2.8662 Date_of_death = Jun2018 Forecast = 3.8217 Date_of_death = Jun2018 Forecast = 3.8217 Date_of_death = May2018 Forecast = 3.1233 Date_of_death = May2018 Forecast = 3.1233 Date_of_death = Apr2018 Forecast = 3.0910 Date_of_death = Apr2018 Forecast = 3.0910 Date_of_death = Mar2018 Forecast = 2.9457 Date_of_death = Mar2018 Forecast = 2.9457 Date_of_death = Feb2018 Forecast = 3.4167 Date_of_death = Feb2018 Forecast = 3.4167 Date_of_death = Jan2018 Forecast = 3.0461 Date_of_death = Jan2018 Forecast = 3.0461 Date_of_death = Dec2017 Forecast = 2.0019 Date_of_death = Dec2017 Forecast = 2.0019 Date_of_death = Nov2017 Forecast = 3.2034 Date_of_death = Nov2017 Forecast = 3.2034 Date_of_death = Oct2017 Forecast = 1.8633 Date_of_death = Oct2017 Forecast = 1.8633 Date_of_death = Sep2017 Forecast = 2.5164 Date_of_death = Sep2017 Forecast = 2.5164 Date_of_death = Aug2017 Forecast = 2.7010 Date_of_death = Aug2017 Forecast = 2.7010 Date_of_death = Jul2017 Forecast = 2.7092 Date_of_death = Jul2017 Forecast = 2.7092 Date_of_death = Jun2017 Forecast = 3.7291 Date_of_death = Jun2017 Forecast = 3.7291 Date_of_death = May2017 Forecast = 3.1063 Date_of_death = May2017 Forecast = 3.1063 Date_of_death = Apr2017 Forecast = 2.7763 Date_of_death = Apr2017 Forecast = 2.7763 Date_of_death = Mar2017 Forecast = 2.6207 Date_of_death = Mar2017 Forecast = 2.6207 Date_of_death = Feb2017 Forecast = 3.3305 Date_of_death = Feb2017 Forecast = 3.3305 Date_of_death = Jan2017 Forecast = 2.8998 Date_of_death = Jan2017 Forecast = 2.8998 Date_of_death = Dec2016 Forecast = 2.0362 Date_of_death = Dec2016 Forecast = 2.0362 Date_of_death = Nov2016 Forecast = 2.9403 Date_of_death = Nov2016 Forecast = 2.9403 Date_of_death = Oct2016 Forecast = 1.8875 Date_of_death = Oct2016 Forecast = 1.8875 Date_of_death = Sep2016 Forecast = 2.2210 Date_of_death = Sep2016 Forecast = 2.2210 Date_of_death = Aug2016 Forecast = 2.3682 Date_of_death = Aug2016 Forecast = 2.3682 Date_of_death = Jul2016 Forecast = 2.6246 Date_of_death = Jul2016 Forecast = 2.6246 Date_of_death = Jun2016 Forecast = 3.7797 Date_of_death = Jun2016 Forecast = 3.7797 Date_of_death = May2016 Forecast = 2.8922 Date_of_death = May2016 Forecast = 2.8922 Date_of_death = Apr2016 Forecast = 2.7866 Date_of_death = Apr2016 Forecast = 2.7866 Date_of_death = Mar2016 Forecast = 2.6056 Date_of_death = Mar2016 Forecast = 2.6056 Date_of_death = Feb2016 Forecast = 3.0729 Date_of_death = Feb2016 Forecast = 3.0729 Date_of_death = Jan2016 Forecast = 2.9703 Date_of_death = Jan2016 Forecast = 2.9703 Date_of_death = Dec2015 Forecast = 2.0478 Date_of_death = Dec2015 Forecast = 2.0478 Date_of_death = Nov2015 Forecast = 2.6788 Date_of_death = Nov2015 Forecast = 2.6788 Date_of_death = Oct2015 Forecast = 1.8879 Date_of_death = Oct2015 Forecast = 1.8879 Date_of_death = Sep2015 Forecast = 2.3014 Date_of_death = Sep2015 Forecast = 2.3014 Date_of_death = Aug2015 Forecast = 2.5173 Date_of_death = Aug2015 Forecast = 2.5173 Date_of_death = Jul2015 Forecast = 2.6467 Date_of_death = Jul2015 Forecast = 2.6467 Date_of_death = Jun2015 Forecast = 4.0121 Date_of_death = Jun2015 Forecast = 4.0121 Date_of_death = May2015 Forecast = 3.1014 Date_of_death = May2015 Forecast = 3.1014 Date_of_death = Apr2015 Forecast = 2.9897 Date_of_death = Apr2015 Forecast = 2.9897 Date_of_death = Mar2015 Forecast = 2.4181 Date_of_death = Mar2015 Forecast = 2.4181 Date_of_death = Feb2015 Forecast = 2.9182 Date_of_death = Feb2015 Forecast = 2.9182 Date_of_death = Jan2015 Forecast = 3.1509 Date_of_death = Jan2015 Forecast = 3.1509 Date_of_death = Dec2014 Forecast = 2.0803 Date_of_death = Dec2014 Forecast = 2.0803 Date_of_death = Nov2014 Forecast = 2.8855 Date_of_death = Nov2014 Forecast = 2.8855 Date_of_death = Oct2014 Forecast = 1.8740 Date_of_death = Oct2014 Forecast = 1.8740 Date_of_death = Sep2014 Forecast = 2.0474 Date_of_death = Sep2014 Forecast = 2.0474 Date_of_death = Aug2014 Forecast = 2.3875 Date_of_death = Aug2014 Forecast = 2.3875 Date_of_death = Jul2014 Forecast = 2.5972 Date_of_death = Jul2014 Forecast = 2.5972 Date_of_death = Jun2014 Forecast = 3.7880 Date_of_death = Jun2014 Forecast = 3.7880 Date_of_death = May2014 Forecast = 3.0844 Date_of_death = May2014 Forecast = 3.0844 Date_of_death = Apr2014 Forecast = 2.7855 Date_of_death = Apr2014 Forecast = 2.7855 Date_of_death = Mar2014 Forecast = 2.4428 Date_of_death = Mar2014 Forecast = 2.4428 Date_of_death = Feb2014 Forecast = 2.9523 Date_of_death = Feb2014 Forecast = 2.9523 Date_of_death = Jan2014 Forecast = 2.8454 Date_of_death = Jan2014 Forecast = 2.8454 Date_of_death = Dec2013 Forecast = 1.9985 Date_of_death = Dec2013 Forecast = 1.9985 Date_of_death = Nov2013 Forecast = 2.5014 Date_of_death = Nov2013 Forecast = 2.5014 Date_of_death = Oct2013 Forecast = 1.5528 Date_of_death = Oct2013 Forecast = 1.5528 Date_of_death = Sep2013 Forecast = 2.0234 Date_of_death = Sep2013 Forecast = 2.0234 Date_of_death = Aug2013 Forecast = 2.4211 Date_of_death = Aug2013 Forecast = 2.4211 Date_of_death = Jul2013 Forecast = 2.5797 Date_of_death = Jul2013 Forecast = 2.5797 Date_of_death = Jun2013 Forecast = 3.9934 Date_of_death = Jun2013 Forecast = 3.9934 Date_of_death = May2013 Forecast = 3.2460 Date_of_death = May2013 Forecast = 3.2460 Date_of_death = Apr2013 Forecast = 2.9575 Date_of_death = Apr2013 Forecast = 2.9575 Date_of_death = Mar2013 Forecast = 2.4128 Date_of_death = Mar2013 Forecast = 2.4128 Date_of_death = Feb2013 Forecast = 2.6866 Date_of_death = Feb2013 Forecast = 2.6866 Date_of_death = Jan2013 Forecast = 2.9276 Date_of_death = Jan2013 Forecast = 2.9276 Date_of_death = Dec2012 Forecast = 2.1041 Date_of_death = Dec2012 Forecast = 2.1041 Date_of_death = Nov2012 Forecast = 2.6094 Date_of_death = Nov2012 Forecast = 2.6094 Date_of_death = Oct2012 Forecast = 1.6989 Date_of_death = Oct2012 Forecast = 1.6989 Date_of_death = Sep2012 Forecast = 2.1162 Date_of_death = Sep2012 Forecast = 2.1162 Date_of_death = Aug2012 Forecast = 2.5376 Date_of_death = Aug2012 Forecast = 2.5376 Date_of_death = Jul2012 Forecast = 2.5230 Date_of_death = Jul2012 Forecast = 2.5230 Date_of_death = Jun2012 Forecast = 4.3043 Date_of_death = Jun2012 Forecast = 4.3043 Date_of_death = May2012 Forecast = 3.4948 Date_of_death = May2012 Forecast = 3.4948 Date_of_death = Apr2012 Forecast = 2.9947 Date_of_death = Apr2012 Forecast = 2.9947 Date_of_death = Mar2012 Forecast = 2.3117 Date_of_death = Mar2012 Forecast = 2.3117 Date_of_death = Feb2012 Forecast = 2.8195 Date_of_death = Feb2012 Forecast = 2.8195 Date_of_death = Jan2012 Forecast = 3.1877 Date_of_death = Jan2012 Forecast = 3.1877 Date_of_death = Dec2011 Forecast = 2.1895 Date_of_death = Dec2011 Forecast = 2.1895 Date_of_death = Nov2011 Forecast = 2.8428 Date_of_death = Nov2011 Forecast = 2.8428 Date_of_death = Oct2011 Forecast = 1.8509 Date_of_death = Oct2011 Forecast = 1.8509 Date_of_death = Sep2011 Forecast = 2.3178 Date_of_death = Sep2011 Forecast = 2.3178 Date_of_death = Aug2011 Forecast = 2.6883 Date_of_death = Aug2011 Forecast = 2.6883 Date_of_death = Jul2011 Forecast = 2.3922 Date_of_death = Jul2011 Forecast = 2.3922 Date_of_death = Jun2011 Forecast = 4.1941 Date_of_death = Jun2011 Forecast = 4.1941 Date_of_death = May2011 Forecast = 3.5630 Date_of_death = May2011 Forecast = 3.5630 Date_of_death = Apr2011 Forecast = 3.2201 Date_of_death = Apr2011 Forecast = 3.2201 Date_of_death = Mar2011 Forecast = 2.3049 Date_of_death = Mar2011 Forecast = 2.3049 Date_of_death = Feb2011 Forecast = 2.8493 Date_of_death = Feb2011 Forecast = 2.8493 Date_of_death = Jan2011 Forecast = 3.3419 Date_of_death = Jan2011 Forecast = 3.3419 Date_of_death = Dec2010 Forecast = 2.3541 Date_of_death = Dec2010 Forecast = 2.3541 Date_of_death = Nov2010 Forecast = 2.9630 Date_of_death = Nov2010 Forecast = 2.9630 Date_of_death = Oct2010 Forecast = 1.9721 Date_of_death = Oct2010 Forecast = 1.9721 Date_of_death = Sep2010 Forecast = 2.4857 Date_of_death = Sep2010 Forecast = 2.4857 Date_of_death = Aug2010 Forecast = 2.4647 Date_of_death = Aug2010 Forecast = 2.4647 Date_of_death = Jul2010 Forecast = 2.5791 Date_of_death = Jul2010 Forecast = 2.5791 Date_of_death = Jun2010 Forecast = 4.0631 Date_of_death = Jun2010 Forecast = 4.0631 Date_of_death = May2010 Forecast = 3.7793 Date_of_death = May2010 Forecast = 3.7793 Date_of_death = Apr2010 Forecast = 3.1729 Date_of_death = Apr2010 Forecast = 3.1729 Date_of_death = Mar2010 Forecast = 2.3769 Date_of_death = Mar2010 Forecast = 2.3769 Date_of_death = Feb2010 Forecast = 2.5475 Date_of_death = Feb2010 Forecast = 2.5475 Date_of_death = Jan2010 Forecast = 3.3838 Date_of_death = Jan2010 Forecast = 3.3838 Date_of_death = Dec2009 Forecast = 2.1472 Date_of_death = Dec2009 Forecast = 2.1472 Date_of_death = Nov2009 Forecast = 3.1650 Date_of_death = Nov2009 Forecast = 3.1650 Date_of_death = Oct2009 Forecast = 1.4622 Date_of_death = Oct2009 Forecast = 1.4622 Date_of_death = Sep2009 Forecast = 2.4661 Date_of_death = Sep2009 Forecast = 2.4661 Date_of_death = Aug2009 Forecast = 2.4701 Date_of_death = Aug2009 Forecast = 2.4701 Date_of_death = Jul2009 Forecast = 2.5861 Date_of_death = Jul2009 Forecast = 2.5861 Date_of_death = Jun2009 Forecast = 4.0311 Date_of_death = Jun2009 Forecast = 4.0311 Date_of_death = May2009 Forecast = 3.5753 Date_of_death = May2009 Forecast = 3.5753 Date_of_death = Apr2009 Forecast = 3.3726 Date_of_death = Apr2009 Forecast = 3.3726 Date_of_death = Mar2009 Forecast = 2.4963 Date_of_death = Mar2009 Forecast = 2.4963 Date_of_death = Feb2009 Forecast = 2.6129 Date_of_death = Feb2009 Forecast = 2.6129 Date_of_death = Jan2009 Forecast = 3.0352 Date_of_death = Jan2009 Forecast = 3.0352 Date_of_death = Dec2008 Forecast = 1.6280 Date_of_death = Dec2008 Forecast = 1.6280 Date_of_death = Nov2008 Forecast = 3.2623 Date_of_death = Nov2008 Forecast = 3.2623 Date_of_death = Oct2008 Forecast = 1.3827 Date_of_death = Oct2008 Forecast = 1.3827 Date_of_death = Sep2008 Forecast = 2.2446 Date_of_death = Sep2008 Forecast = 2.2446 Date_of_death = Aug2008 Forecast = 2.2311 Date_of_death = Aug2008 Forecast = 2.2311 Date_of_death = Jul2008 Forecast = 2.6103 Date_of_death = Jul2008 Forecast = 2.6103 Date_of_death = Jun2008 Forecast = 3.9848 Date_of_death = Jun2008 Forecast = 3.9848 Date_of_death = May2008 Forecast = 3.2135 Date_of_death = May2008 Forecast = 3.2135 Date_of_death = Apr2008 Forecast = 3.6075 Date_of_death = Apr2008 Forecast = 3.6075 Date_of_death = Mar2008 Forecast = 2.6193 Date_of_death = Mar2008 Forecast = 2.6193 Date_of_death = Feb2008 Forecast = 2.4903 Date_of_death = Feb2008 Forecast = 2.4903 Date_of_death = Jan2008 Forecast = 2.5400 Date_of_death = Jan2008 Forecast = 2.5400 Date_of_death = Dec2007 Forecast = 1.5362 Date_of_death = Dec2007 Forecast = 1.5362 Date_of_death = Nov2007 Forecast = 3.4022 Date_of_death = Nov2007 Forecast = 3.4022 Date_of_death = Oct2007 Forecast = 1.4044 Date_of_death = Oct2007 Forecast = 1.4044 Date_of_death = Sep2007 Forecast = 2.1121 Date_of_death = Sep2007 Forecast = 2.1121 Date_of_death = Aug2007 Forecast = 2.2561 Date_of_death = Aug2007 Forecast = 2.2561 Date_of_death = Jul2007 Forecast = 2.6888 Date_of_death = Jul2007 Forecast = 2.6888 Date_of_death = Jun2007 Forecast = 3.9738 Date_of_death = Jun2007 Forecast = 3.9738 Date_of_death = May2007 Forecast = 3.5623 Date_of_death = May2007 Forecast = 3.5623 Date_of_death = Apr2007 Forecast = 3.2575 Date_of_death = Apr2007 Forecast = 3.2575 Date_of_death = Mar2007 Forecast = 2.6903 Date_of_death = Mar2007 Forecast = 2.6903 Date_of_death = Feb2007 Forecast = 2.5508 Date_of_death = Feb2007 Forecast = 2.5508 Date_of_death = Jan2007 Forecast = 2.8253 Date_of_death = Jan2007 Forecast = 2.8253 Date_of_death = Dec2006 Forecast = 1.6624 Date_of_death = Dec2006 Forecast = 1.6624 Date_of_death = Nov2006 Forecast = 3.6723 Date_of_death = Nov2006 Forecast = 3.6723 Date_of_death = Oct2006 Forecast = 1.5088 Date_of_death = Oct2006 Forecast = 1.5088 Date_of_death = Sep2006 Forecast = 1.4814 Date_of_death = Sep2006 Forecast = 1.4814 Date_of_death = Aug2006 Forecast = 2.4900 Date_of_death = Aug2006 Forecast = 2.4900 Date_of_death = Jul2006 Forecast = 3.0019 Date_of_death = Jul2006 Forecast = 3.0019 Date_of_death = Jun2006 Forecast = 4.0019 Date_of_death = Jun2006 Forecast = 4.0019 Date_of_death = May2006 Forecast = 3.8465 Date_of_death = May2006 Forecast = 3.8465 Date_of_death = Apr2006 Forecast = 3.1749 Date_of_death = Apr2006 Forecast = 3.1749 Date_of_death = Mar2006 Forecast = 2.1514 Date_of_death = Mar2006 Forecast = 2.1514 Date_of_death = Feb2006 Forecast = 1.9596 Date_of_death = Feb2006 Forecast = 1.9596 Date_of_death = Jan2006 Forecast = 3.1740 Date_of_death = Jan2006 Forecast = 3.1740 Date_of_death = Dec2005 Forecast = 1.5710 Date_of_death = Dec2005 Forecast = 1.5710 Date_of_death = Nov2005 Forecast = 3.1553 Date_of_death = Nov2005 Forecast = 3.1553 Date_of_death = Oct2005 Forecast = 1.3507 Date_of_death = Oct2005 Forecast = 1.3507 Date_of_death = Sep2005 Forecast = 1.5524 Date_of_death = Sep2005 Forecast = 1.5524 Date_of_death = Aug2005 Forecast = 2.5542 Date_of_death = Aug2005 Forecast = 2.5542 Date_of_death = Jul2005 Forecast = 3.3656 Date_of_death = Jul2005 Forecast = 3.3656 Date_of_death = Jun2005 Forecast = 3.5518 Date_of_death = Jun2005 Forecast = 3.5518 Date_of_death = May2005 Forecast = 4.1622 Date_of_death = May2005 Forecast = 4.1622 Date_of_death = Apr2005 Forecast = 3.5750 Date_of_death = Apr2005 Forecast = 3.5750 Date_of_death = Mar2005 Forecast = 2.3818 Date_of_death = Mar2005 Forecast = 2.3818 Date_of_death = Feb2005 Forecast = 1.9813 Date_of_death = Feb2005 Forecast = 1.9813 Date_of_death = Jan2005 Forecast = 3.7438 Date_of_death = Jan2005 Forecast = 3.7438 Date_of_death = Dec2004 Forecast = 1.4915 Date_of_death = Dec2004 Forecast = 1.4915 Date_of_death = Nov2004 Forecast = 3.7534 Date_of_death = Nov2004 Forecast = 3.7534 Date_of_death = Oct2004 Forecast = 1.2502 Date_of_death = Oct2004 Forecast = 1.2502 Date_of_death = Sep2004 Forecast = 1.4981 Date_of_death = Sep2004 Forecast = 1.4981 Date_of_death = Aug2004 Forecast = 2.7514 Date_of_death = Aug2004 Forecast = 2.7514 Date_of_death = Jul2004 Forecast = 4.0148 Date_of_death = Jul2004 Forecast = 4.0148 Date_of_death = Jun2004 Forecast = 3.0020 Date_of_death = Jun2004 Forecast = 3.0020 Date_of_death = May2004 Forecast = 3.7420 Date_of_death = May2004 Forecast = 3.7420 Date_of_death = Apr2004 Forecast = 2.9784 Date_of_death = Apr2004 Forecast = 2.9784 Date_of_death = Mar2004 Forecast = 1.4577 Date_of_death = Mar2004 Forecast = 1.4577 Date_of_death = Feb2004 Forecast = 2.2119 Date_of_death = Feb2004 Forecast = 2.2119 Date_of_death = Jan2004 Forecast = 4.3049 Date_of_death = Jan2004 Forecast = 4.3049 Date_of_death = Dec2003 Forecast = 1.6395 Date_of_death = Dec2003 Forecast = 1.6395 Date_of_death = Nov2003 Forecast = 4.3133 Date_of_death = Nov2003 Forecast = 4.3133 Date_of_death = Oct2003 Forecast = 1.3137 Date_of_death = Oct2003 Forecast = 1.3137 Date_of_death = Sep2003 Forecast = 1.3107 Date_of_death = Sep2003 Forecast = 1.3107 Date_of_death = Aug2003 Forecast = 2.6421 Date_of_death = Aug2003 Forecast = 2.6421 Date_of_death = Jul2003 Forecast = 4.9887 Date_of_death = Jul2003 Forecast = 4.9887 Date_of_death = Jun2003 Forecast = 2.9884 Date_of_death = Jun2003 Forecast = 2.9884 Date_of_death = May2003 Forecast = 4.3296 Date_of_death = May2003 Forecast = 4.3296 Date_of_death = Apr2003 Forecast = 3.3344 Date_of_death = Apr2003 Forecast = 3.3344 Date_of_death = Mar2003 Forecast = 0.9942 Date_of_death = Mar2003 Forecast = 0.9942 Date_of_death = Feb2003 Forecast = 2.6667 Date_of_death = Feb2003 Forecast = 2.6667 Date_of_death = Jan2003 Forecast = 6.0100 Date_of_death = Jan2003 Forecast = 6.0100 Date_of_death = Dec2002 Forecast = 1.0058 Date_of_death = Dec2002 Forecast = 1.0058 Date_of_death = Nov2002 Forecast = 3.5001 Date_of_death = Nov2002 Forecast = 3.5001 Date_of_death = Oct2002 Forecast = 0.9979 Date_of_death = Oct2002 Forecast = 0.9979 Date_of_death = Sep2002 Forecast = 1.4993 Date_of_death = Sep2002 Forecast = 1.4993 Date_of_death = Aug2002 Forecast = 3.5059 Date_of_death = Aug2002 Forecast = 3.5059 Date_of_death = Jul2002 Forecast = 4.5027 Date_of_death = Jul2002 Forecast = 4.5027 Date_of_death = Jun2002 Forecast = 1.4916 Date_of_death = Jun2002 Forecast = 1.4916 Date_of_death = May2002 Forecast = 4.4927 Date_of_death = May2002 Forecast = 4.4927 Date_of_death = Apr2002 Forecast = 4.5015 Date_of_death = Apr2002 Forecast = 4.5015 Date_of_death = Mar2002 Forecast = 1.0018 Date_of_death = Mar2002 Forecast = 1.0018 Date_of_death = Feb2002 Forecast = 3.5085 Date_of_death = Feb2002 Forecast = 3.5085 Date_of_death = Jan2002 Forecast = 6.0030 Date_of_death = Jan2002 Forecast = 6.0030 Date_of_death = Dec2001 Forecast = 1.0043 Date_of_death = Dec2001 Forecast = 1.0043 Date_of_death = Nov2001 Forecast = 6.0133 Date_of_death = Nov2001 Forecast = 6.0133 Date_of_death = Oct2001 Forecast = 1.0152 Date_of_death = Oct2001 Forecast = 1.0152 Date_of_death = Sep2001 Forecast = 1.0156 Date_of_death = Sep2001 Forecast = 1.0156 Date_of_death = Aug2001 Forecast = 1.0097 Date_of_death = Aug2001 Forecast = 1.0097 Date_of_death = Jul2001 Forecast = 3.0063 Date_of_death = Jul2001 Forecast = 3.0063 Date_of_death = Jun2001 Forecast = 1.0055 Date_of_death = Jun2001 Forecast = 1.0055 Date_of_death = May2001 Forecast = 3.0015 Date_of_death = May2001 Forecast = 3.0015 Date_of_death = Apr2001 Forecast = 6.0064 Date_of_death = Apr2001 Forecast = 6.0064 Date_of_death = Mar2001 Forecast = 1.0071 Date_of_death = Mar2001 Forecast = 1.0071 Date_of_death = Feb2001 Forecast = 1.0000 Date_of_death = Oct2019 incidents = 1.0000 Date_of_death = Sep2019 incidents = 1.0000 Date_of_death = Aug2019 incidents = 6.0000 Date_of_death = Jul2019 incidents = 1.0000 Date_of_death = Jun2019 incidents = 1.0000 Date_of_death = May2019 incidents = 4.0000 Date_of_death = Apr2019 incidents = 6.0000 Date_of_death = Mar2019 incidents = 1.0000 Date_of_death = Feb2019 incidents = 2.0000 Date_of_death = Jan2019 incidents = 6.0000 Date_of_death = Dec2018 incidents = 1.0000 Date_of_death = Nov2018 incidents = 3.0000 Date_of_death = Oct2018 incidents = 6.0000 Date_of_death = Sep2018 incidents = 6.0000 Date_of_death = Aug2018 incidents = 2.0000 Date_of_death = Jul2018 incidents = 2.0000 Date_of_death = Jun2018 incidents = 3.0000 Date_of_death = May2018 incidents = 6.0000 Date_of_death = Apr2018 incidents = 6.0000 Date_of_death = Mar2018 incidents = 6.0000 Date_of_death = Feb2018 incidents = 6.0000 Date_of_death = Jan2018 incidents = 6.0000 Date_of_death = Dec2017 incidents = 6.0000 Date_of_death = Nov2017 incidents = 1.0000 Date_of_death = Oct2017 incidents = 6.0000 Date_of_death = Sep2017 incidents = 2.0000 Date_of_death = Aug2017 incidents = 2.0000 Date_of_death = Jul2017 incidents = 2.0000 Date_of_death = Jun2017 incidents = 2.0000 Date_of_death = May2017 incidents = 1.0000 Date_of_death = Apr2017 incidents = 6.0000 Date_of_death = Mar2017 incidents = 6.0000 Date_of_death = Feb2017 incidents = 3.0000 Date_of_death = Jan2017 incidents = 4.0000 Date_of_death = Dec2016 incidents = 1.0000 Date_of_death = Nov2016 incidents = 6.0000 Date_of_death = Oct2016 incidents = 1.0000 Date_of_death = Sep2016 incidents = 6.0000 Date_of_death = Aug2016 incidents = 6.0000 Date_of_death = Jul2016 incidents = 2.0000 Date_of_death = Jun2016 incidents = 1.0000 Date_of_death = May2016 incidents = 4.0000 Date_of_death = Apr2016 incidents = 1.0000 Date_of_death = Mar2016 incidents = 2.0000 Date_of_death = Feb2016 incidents = 6.0000 Date_of_death = Jan2016 incidents = 1.0000 Date_of_death = Dec2015 incidents = 1.0000 Date_of_death = Nov2015 incidents = 6.0000 Date_of_death = Oct2015 incidents = 1.0000 Date_of_death = Sep2015 incidents = 1.0000 Date_of_death = Aug2015 incidents = 1.0000 Date_of_death = Jul2015 incidents = 3.0000 Date_of_death = Jun2015 incidents = 1.0000 Date_of_death = May2015 incidents = 1.0000 Date_of_death = Apr2015 incidents = 1.0000 Date_of_death = Mar2015 incidents = 6.0000 Date_of_death = Feb2015 incidents = 6.0000 Date_of_death = Jan2015 incidents = 1.0000 Date_of_death = Dec2014 incidents = 2.0000 Date_of_death = Nov2014 incidents = 1.0000 Date_of_death = Oct2014 incidents = 3.0000 Date_of_death = Sep2014 incidents = 6.0000 Date_of_death = Aug2014 incidents = 4.0000 Date_of_death = Jul2014 incidents = 3.0000 Date_of_death = Jun2014 incidents = 6.0000 Date_of_death = May2014 incidents = 2.0000 Date_of_death = Apr2014 incidents = 4.0000 Date_of_death = Mar2014 incidents = 1.0000 Date_of_death = Feb2014 incidents = 2.0000 Date_of_death = Jan2014 incidents = 6.0000 Date_of_death = Dec2013 incidents = 2.0000 Date_of_death = Nov2013 incidents = 6.0000 Date_of_death = Oct2013 incidents = 4.0000 Date_of_death = Sep2013 incidents = 1.0000 Date_of_death = Aug2013 incidents = 1.0000 Date_of_death = Jul2013 incidents = 2.0000 Date_of_death = Jun2013 incidents = 1.0000 Date_of_death = May2013 incidents = 1.0000 Date_of_death = Apr2013 incidents = 1.0000 Date_of_death = Mar2013 incidents = 3.0000 Date_of_death = Feb2013 incidents = 6.0000 Date_of_death = Jan2013 incidents = 2.0000 Date_of_death = Dec2012 incidents = 1.0000 Date_of_death = Nov2012 incidents = 2.0000 Date_of_death = Oct2012 incidents = 1.0000 Date_of_death = Sep2012 incidents = 2.0000 Date_of_death = Aug2012 incidents = 2.0000 Date_of_death = Jul2012 incidents = 4.0000 Date_of_death = Jun2012 incidents = 1.0000 Date_of_death = May2012 incidents = 1.0000 Date_of_death = Apr2012 incidents = 3.0000 Date_of_death = Mar2012 incidents = 4.0000 Date_of_death = Feb2012 incidents = 2.0000 Date_of_death = Jan2012 incidents = 1.0000 Date_of_death = Dec2011 incidents = 2.0000 Date_of_death = Nov2011 incidents = 1.0000 Date_of_death = Oct2011 incidents = 1.0000 Date_of_death = Sep2011 incidents = 1.0000 Date_of_death = Aug2011 incidents = 2.0000 Date_of_death = Jul2011 incidents = 5.0000 Date_of_death = Jun2011 incidents = 6.0000 Date_of_death = May2011 incidents = 3.0000 Date_of_death = Apr2011 incidents = 1.0000 Date_of_death = Mar2011 incidents = 3.0000 Date_of_death = Feb2011 incidents = 3.0000 Date_of_death = Jan2011 incidents = 2.0000 Date_of_death = Dec2010 incidents = 1.0000 Date_of_death = Nov2010 incidents = 2.0000 Date_of_death = Oct2010 incidents = 1.0000 Date_of_death = Sep2010 incidents = 1.0000 Date_of_death = Aug2010 incidents = 5.0000 Date_of_death = Jul2010 incidents = 1.0000 Date_of_death = Jun2010 incidents = 6.0000 Date_of_death = May2010 incidents = 2.0000 Date_of_death = Apr2010 incidents = 4.0000 Date_of_death = Mar2010 incidents = 2.0000 Date_of_death = Feb2010 incidents = 6.0000 Date_of_death = Jan2010 incidents = 3.0000 Date_of_death = Dec2009 incidents = 4.0000 Date_of_death = Nov2009 incidents = 1.0000 Date_of_death = Oct2009 incidents = 6.0000 Date_of_death = Sep2009 incidents = 2.0000 Date_of_death = Aug2009 incidents = 2.0000 Date_of_death = Jul2009 incidents = 2.0000 Date_of_death = Jun2009 incidents = 4.0000 Date_of_death = May2009 incidents = 5.0000 Date_of_death = Apr2009 incidents = 1.0000 Date_of_death = Mar2009 incidents = 1.0000 Date_of_death = Feb2009 incidents = 2.0000 Date_of_death = Jan2009 incidents = 6.0000 Date_of_death = Dec2008 incidents = 6.0000 Date_of_death = Nov2008 incidents = 2.0000 Date_of_death = Oct2008 incidents = 2.0000 Date_of_death = Sep2008 incidents = 4.0000 Date_of_death = Aug2008 incidents = 4.0000 Date_of_death = Jul2008 incidents = 2.0000 Date_of_death = Jun2008 incidents = 4.0000 Date_of_death = May2008 incidents = 6.0000 Date_of_death = Apr2008 incidents = 1.0000 Date_of_death = Mar2008 incidents = 1.0000 Date_of_death = Feb2008 incidents = 3.0000 Date_of_death = Jan2008 incidents = 6.0000 Date_of_death = Dec2007 incidents = 2.0000 Date_of_death = Nov2007 incidents = 2.0000 Date_of_death = Oct2007 incidents = 1.0000 Date_of_death = Sep2007 incidents = 3.0000 Date_of_death = Aug2007 incidents = 2.0000 Date_of_death = Jul2007 incidents = 2.0000 Date_of_death = Jun2007 incidents = 4.0000 Date_of_death = May2007 incidents = 1.0000 Date_of_death = Apr2007 incidents = 6.0000 Date_of_death = Mar2007 incidents = 2.0000 Date_of_death = Feb2007 incidents = 2.0000 Date_of_death = Jan2007 incidents = 1.0000 Date_of_death = Dec2006 incidents = 1.0000 Date_of_death = Nov2006 incidents = 2.0000 Date_of_death = Oct2006 incidents = 1.0000 Date_of_death = Sep2006 incidents = 6.0000 Date_of_death = Aug2006 incidents = 1.0000 Date_of_death = Jul2006 incidents = 1.0000 Date_of_death = Jun2006 incidents = 4.0000 Date_of_death = May2006 incidents = 2.0000 Date_of_death = Apr2006 incidents = 4.0000 Date_of_death = Mar2006 incidents = 6.0000 Date_of_death = Feb2006 incidents = 6.0000 Date_of_death = Jan2006 incidents = 1.0000 Date_of_death = Dec2005 incidents = 2.0000 Date_of_death = Nov2005 incidents = 6.0000 Date_of_death = Oct2005 incidents = 2.0000 Date_of_death = Sep2005 incidents = 1.0000 Date_of_death = Aug2005 incidents = 2.0000 Date_of_death = Jul2005 incidents = 1.0000 Date_of_death = Jun2005 incidents = 6.0000 Date_of_death = May2005 incidents = 2.0000 Date_of_death = Apr2005 incidents = 1.0000 Date_of_death = Mar2005 incidents = 1.0000 Date_of_death = Feb2005 incidents = 2.0000 Date_of_death = Jan2005 incidents = 1.0000 Date_of_death = Dec2004 incidents = 2.0000 Date_of_death = Nov2004 incidents = 1.0000 Date_of_death = Oct2004 incidents = 2.0000 Date_of_death = Sep2004 incidents = 2.0000 Date_of_death = Aug2004 incidents = 2.0000 Date_of_death = Jul2004 incidents = 1.0000 Date_of_death = Jun2004 incidents = 6.0000 Date_of_death = May2004 incidents = 6.0000 Date_of_death = Apr2004 incidents = 6.0000 Date_of_death = Mar2004 incidents = 6.0000 Date_of_death = Feb2004 incidents = 1.0000 Date_of_death = Jan2004 incidents = 2.0000 Date_of_death = Dec2003 incidents = 1.0000 Date_of_death = Nov2003 incidents = 2.0000 Date_of_death = Oct2003 incidents = 1.0000 Date_of_death = Sep2003 incidents = 2.0000 Date_of_death = Aug2003 incidents = 3.0000 Date_of_death = Jul2003 incidents = 1.0000 Date_of_death = Jun2003 incidents = 3.0000 Date_of_death = May2003 incidents = 2.0000 Date_of_death = Apr2003 incidents = 2.0000 Date_of_death = Mar2003 incidents = 3.0000 Date_of_death = Feb2003 incidents = 1.0000 Date_of_death = Jan2003 incidents = 1.0000 Date_of_death = Dec2002 incidents = 3.0000 Date_of_death = Nov2002 incidents = 6.0000 Date_of_death = Oct2002 incidents = 2.0000 Date_of_death = Sep2002 incidents = 1.0000 Date_of_death = Aug2002 incidents = 1.0000 Date_of_death = Jul2002 incidents = 6.0000 Date_of_death = Jun2002 incidents = 6.0000 Date_of_death = May2002 incidents = 4.0000 Date_of_death = Apr2002 incidents = 1.0000 Date_of_death = Mar2002 incidents = 1.0000 Date_of_death = Feb2002 incidents = 1.0000 Date_of_death = Jan2002 incidents = 6.0000 Date_of_death = Dec2001 incidents = 1.0000 Date_of_death = Nov2001 incidents = 1.0000 Date_of_death = Oct2001 incidents = 1.0000 Date_of_death = Sep2001 incidents = 2.0000 Date_of_death = Aug2001 incidents = 6.0000 Date_of_death = Jul2001 incidents = 6.0000 Date_of_death = Jun2001 incidents = 2.0000 Date_of_death = May2001 incidents = 6.0000 Date_of_death = Apr2001 incidents = 3.0000 Date_of_death = Mar2001 incidents = 1.0000 Date_of_death = Feb2001 incidents = 6.0000 Date_of_death = Oct2020 Upper 95% = 6.3779 Lower 95% = -1.5222 Date_of_death = Sep2020 Upper 95% = 6.7290 Lower 95% = -1.1706 Date_of_death = Sep2020 Upper 95% = 6.7290 Lower 95% = -1.1706 Date_of_death = Aug2020 Upper 95% = 6.9302 Lower 95% = -0.9690 Date_of_death = Aug2020 Upper 95% = 6.9302 Lower 95% = -0.9690 Date_of_death = Jul2020 Upper 95% = 6.6813 Lower 95% = -1.2174 Date_of_death = Jul2020 Upper 95% = 6.6813 Lower 95% = -1.2174 Date_of_death = Jun2020 Upper 95% = 7.5825 Lower 95% = -0.3158 Date_of_death = Jun2020 Upper 95% = 7.5825 Lower 95% = -0.3158 Date_of_death = May2020 Upper 95% = 7.2836 Lower 95% = -0.6142 Date_of_death = May2020 Upper 95% = 7.2836 Lower 95% = -0.6142 Date_of_death = Apr2020 Upper 95% = 7.3847 Lower 95% = -0.5126 Date_of_death = Apr2020 Upper 95% = 7.3847 Lower 95% = -0.5126 Date_of_death = Mar2020 Upper 95% = 7.0359 Lower 95% = -0.8610 Date_of_death = Mar2020 Upper 95% = 7.0359 Lower 95% = -0.8610 Date_of_death = Feb2020 Upper 95% = 7.5370 Lower 95% = -0.3593 Date_of_death = Feb2020 Upper 95% = 7.5370 Lower 95% = -0.3593 Date_of_death = Jan2020 Upper 95% = 7.4508 Lower 95% = -0.4535 Date_of_death = Jan2020 Upper 95% = 7.4508 Lower 95% = -0.4535 Date_of_death = Dec2019 Upper 95% = 6.2941 Lower 95% = -1.6097 Date_of_death = Dec2019 Upper 95% = 6.2941 Lower 95% = -1.6097 Date_of_death = Nov2019 Upper 95% = 7.1900 Lower 95% = -0.7133
Forecast Plot

County=Dallas

Series Span Summary

Estimation Span

County=Dallas

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 5.00000 3.13924 1.87129

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 5.00000 3.13924 1.87129

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.78955
Level Error Variance 1.04608
Season Error Variance 3.21531

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -474.9
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 955.76
BIC (smaller is better) 966.01
AICC (smaller is better) 955.87
HQIC (smaller is better) 959.9
CAIC (smaller is better) 969.01
Likelihood Optimization Algorithm Converged in 5 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 3.11062 0.33246 9.36 <.0001
Level Error Variance 0.00990 0.01322 0.75 0.4539
Season Error Variance 0.01150 0.01634 0.70 0.4814

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 3.91976
Root Mean Squared Error 1.97984
Mean Absolute Percentage Error 98.83590
Maximum Percent Error 80.00000
R-Square -0.13177
Adjusted R-Square -0.14197
Random Walk R-Square 0.33384
Amemiya's Adjusted R-Square -0.16236

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 5.38 0.0204
Level 1 34.78 <.0001
Season 11 6.50 0.8382

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.441238724 0.4139205

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.01150

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 6.2622 Percent = 0.0429 Prediction Error = 6.1976 Percent = 0.0521 Prediction Error = 6.1976 Percent = 0.0521 Prediction Error = 6.1329 Percent = 0.0631 Prediction Error = 6.1329 Percent = 0.0631 Prediction Error = 6.0683 Percent = 0.076 Prediction Error = 6.0683 Percent = 0.076 Prediction Error = 6.0037 Percent = 0.0911 Prediction Error = 6.0037 Percent = 0.0911 Prediction Error = 5.939 Percent = 0.1086 Prediction Error = 5.939 Percent = 0.1086 Prediction Error = 5.8744 Percent = 0.129 Prediction Error = 5.8744 Percent = 0.129 Prediction Error = 5.8098 Percent = 0.1525 Prediction Error = 5.8098 Percent = 0.1525 Prediction Error = 5.7451 Percent = 0.1794 Prediction Error = 5.7451 Percent = 0.1794 Prediction Error = 5.6805 Percent = 0.2101 Prediction Error = 5.6805 Percent = 0.2101 Prediction Error = 5.6159 Percent = 0.245 Prediction Error = 5.6159 Percent = 0.245 Prediction Error = 5.5512 Percent = 0.2845 Prediction Error = 5.5512 Percent = 0.2845 Prediction Error = 5.4866 Percent = 0.3289 Prediction Error = 5.4866 Percent = 0.3289 Prediction Error = 5.422 Percent = 0.3787 Prediction Error = 5.422 Percent = 0.3787 Prediction Error = 5.3573 Percent = 0.4341 Prediction Error = 5.3573 Percent = 0.4341 Prediction Error = 5.2927 Percent = 0.4957 Prediction Error = 5.2927 Percent = 0.4957 Prediction Error = 5.2281 Percent = 0.5637 Prediction Error = 5.2281 Percent = 0.5637 Prediction Error = 5.1634 Percent = 0.6386 Prediction Error = 5.1634 Percent = 0.6386 Prediction Error = 5.0988 Percent = 0.7207 Prediction Error = 5.0988 Percent = 0.7207 Prediction Error = 5.0342 Percent = 0.8103 Prediction Error = 5.0342 Percent = 0.8103 Prediction Error = 4.9695 Percent = 0.9078 Prediction Error = 4.9695 Percent = 0.9078 Prediction Error = 4.9049 Percent = 1.0134 Prediction Error = 4.9049 Percent = 1.0134 Prediction Error = 4.8403 Percent = 1.1276 Prediction Error = 4.8403 Percent = 1.1276 Prediction Error = 4.7756 Percent = 1.2505 Prediction Error = 4.7756 Percent = 1.2505 Prediction Error = 4.711 Percent = 1.3824 Prediction Error = 4.711 Percent = 1.3824 Prediction Error = 4.6463 Percent = 1.5236 Prediction Error = 4.6463 Percent = 1.5236 Prediction Error = 4.5817 Percent = 1.6744 Prediction Error = 4.5817 Percent = 1.6744 Prediction Error = 4.5171 Percent = 1.8349 Prediction Error = 4.5171 Percent = 1.8349 Prediction Error = 4.4524 Percent = 2.0054 Prediction Error = 4.4524 Percent = 2.0054 Prediction Error = 4.3878 Percent = 2.1862 Prediction Error = 4.3878 Percent = 2.1862 Prediction Error = 4.3232 Percent = 2.3774 Prediction Error = 4.3232 Percent = 2.3774 Prediction Error = 4.2585 Percent = 2.5793 Prediction Error = 4.2585 Percent = 2.5793 Prediction Error = 4.1939 Percent = 2.7921 Prediction Error = 4.1939 Percent = 2.7921 Prediction Error = 4.1293 Percent = 3.0159 Prediction Error = 4.1293 Percent = 3.0159 Prediction Error = 4.0646 Percent = 3.251 Prediction Error = 4.0646 Percent = 3.251 Prediction Error = 4 Percent = 3.4975 Prediction Error = 4 Percent = 3.4975 Prediction Error = 3.9354 Percent = 3.7555 Prediction Error = 3.9354 Percent = 3.7555 Prediction Error = 3.8707 Percent = 4.025 Prediction Error = 3.8707 Percent = 4.025 Prediction Error = 3.8061 Percent = 4.3062 Prediction Error = 3.8061 Percent = 4.3062 Prediction Error = 3.7415 Percent = 4.5988 Prediction Error = 3.7415 Percent = 4.5988 Prediction Error = 3.6768 Percent = 4.9027 Prediction Error = 3.6768 Percent = 4.9027 Prediction Error = 3.6122 Percent = 5.2177 Prediction Error = 3.6122 Percent = 5.2177 Prediction Error = 3.5476 Percent = 5.5435 Prediction Error = 3.5476 Percent = 5.5435 Prediction Error = 3.4183 Percent = 6.225 Prediction Error = 3.4183 Percent = 6.225 Prediction Error = 2.8366 Percent = 9.59 Prediction Error = 2.8366 Percent = 9.59 Prediction Error = 2.7073 Percent = 10.334 Prediction Error = 2.7073 Percent = 10.334 Prediction Error = 2.578 Percent = 11.044 Prediction Error = 2.578 Percent = 11.044 Prediction Error = 2.5134 Percent = 11.382 Prediction Error = 2.5134 Percent = 11.382 Prediction Error = 2.4488 Percent = 11.706 Prediction Error = 2.4488 Percent = 11.706 Prediction Error = 2.3841 Percent = 12.015 Prediction Error = 2.3841 Percent = 12.015 Prediction Error = 2.3195 Percent = 12.307 Prediction Error = 2.3195 Percent = 12.307 Prediction Error = 2.2549 Percent = 12.58 Prediction Error = 2.2549 Percent = 12.58 Prediction Error = 2.1902 Percent = 12.834 Prediction Error = 2.1902 Percent = 12.834 Prediction Error = 2.1256 Percent = 13.067 Prediction Error = 2.1256 Percent = 13.067 Prediction Error = 2.061 Percent = 13.279 Prediction Error = 2.061 Percent = 13.279 Prediction Error = 1.9963 Percent = 13.469 Prediction Error = 1.9963 Percent = 13.469 Prediction Error = 1.9317 Percent = 13.638 Prediction Error = 1.9317 Percent = 13.638 Prediction Error = 1.8671 Percent = 13.785 Prediction Error = 1.8671 Percent = 13.785 Prediction Error = 1.8024 Percent = 13.91 Prediction Error = 1.8024 Percent = 13.91 Prediction Error = 1.7378 Percent = 14.015 Prediction Error = 1.7378 Percent = 14.015 Prediction Error = 1.6731 Percent = 14.1 Prediction Error = 1.6731 Percent = 14.1 Prediction Error = 1.6085 Percent = 14.167 Prediction Error = 1.6085 Percent = 14.167 Prediction Error = 1.5439 Percent = 14.216 Prediction Error = 1.5439 Percent = 14.216 Prediction Error = 1.4792 Percent = 14.249 Prediction Error = 1.4792 Percent = 14.249 Prediction Error = 1.4146 Percent = 14.267 Prediction Error = 1.4146 Percent = 14.267 Prediction Error = 1.35 Percent = 14.273 Prediction Error = 1.35 Percent = 14.273 Prediction Error = 1.2853 Percent = 14.268 Prediction Error = 1.2853 Percent = 14.268 Prediction Error = 1.2207 Percent = 14.255 Prediction Error = 1.2207 Percent = 14.255 Prediction Error = 1.1561 Percent = 14.234 Prediction Error = 1.1561 Percent = 14.234 Prediction Error = 1.0914 Percent = 14.208 Prediction Error = 1.0914 Percent = 14.208 Prediction Error = 1.0268 Percent = 14.178 Prediction Error = 1.0268 Percent = 14.178 Prediction Error = 0.8975 Percent = 14.116 Prediction Error = 0.8975 Percent = 14.116 Prediction Error = 0.8329 Percent = 14.087 Prediction Error = 0.8329 Percent = 14.087 Prediction Error = 0.7683 Percent = 14.06 Prediction Error = 0.7683 Percent = 14.06 Prediction Error = 0.7036 Percent = 14.037 Prediction Error = 0.7036 Percent = 14.037 Prediction Error = 0.639 Percent = 14.02 Prediction Error = 0.639 Percent = 14.02 Prediction Error = 0.5744 Percent = 14.009 Prediction Error = 0.5744 Percent = 14.009 Prediction Error = 0.5097 Percent = 14.004 Prediction Error = 0.5097 Percent = 14.004 Prediction Error = 0.4451 Percent = 14.007 Prediction Error = 0.4451 Percent = 14.007 Prediction Error = 0.3805 Percent = 14.018 Prediction Error = 0.3805 Percent = 14.018 Prediction Error = 0.3158 Percent = 14.037 Prediction Error = 0.3158 Percent = 14.037 Prediction Error = 0.2512 Percent = 14.064 Prediction Error = 0.2512 Percent = 14.064 Prediction Error = 0.1866 Percent = 14.1 Prediction Error = 0.1866 Percent = 14.1 Prediction Error = 0.1219 Percent = 14.144 Prediction Error = 0.1219 Percent = 14.144 Prediction Error = 0.0573 Percent = 14.196 Prediction Error = 0.0573 Percent = 14.196 Prediction Error = -0.007 Percent = 14.257 Prediction Error = -0.007 Percent = 14.257 Prediction Error = -0.072 Percent = 14.325 Prediction Error = -0.072 Percent = 14.325 Prediction Error = -0.137 Percent = 14.401 Prediction Error = -0.137 Percent = 14.401 Prediction Error = -0.201 Percent = 14.484 Prediction Error = -0.201 Percent = 14.484 Prediction Error = -0.266 Percent = 14.574 Prediction Error = -0.266 Percent = 14.574 Prediction Error = -0.331 Percent = 14.67 Prediction Error = -0.331 Percent = 14.67 Prediction Error = -0.395 Percent = 14.771 Prediction Error = -0.395 Percent = 14.771 Prediction Error = -0.46 Percent = 14.877 Prediction Error = -0.46 Percent = 14.877 Prediction Error = -0.524 Percent = 14.987 Prediction Error = -0.524 Percent = 14.987 Prediction Error = -0.654 Percent = 15.215 Prediction Error = -0.654 Percent = 15.215 Prediction Error = -0.848 Percent = 15.558 Prediction Error = -0.848 Percent = 15.558 Prediction Error = -0.912 Percent = 15.667 Prediction Error = -0.912 Percent = 15.667 Prediction Error = -0.977 Percent = 15.77 Prediction Error = -0.977 Percent = 15.77 Prediction Error = -1.042 Percent = 15.866 Prediction Error = -1.042 Percent = 15.866 Prediction Error = -1.106 Percent = 15.953 Prediction Error = -1.106 Percent = 15.953 Prediction Error = -1.171 Percent = 16.029 Prediction Error = -1.171 Percent = 16.029 Prediction Error = -1.235 Percent = 16.092 Prediction Error = -1.235 Percent = 16.092 Prediction Error = -1.3 Percent = 16.139 Prediction Error = -1.3 Percent = 16.139 Prediction Error = -1.365 Percent = 16.169 Prediction Error = -1.365 Percent = 16.169 Prediction Error = -1.429 Percent = 16.181 Prediction Error = -1.429 Percent = 16.181 Prediction Error = -1.494 Percent = 16.172 Prediction Error = -1.494 Percent = 16.172 Prediction Error = -1.559 Percent = 16.14 Prediction Error = -1.559 Percent = 16.14 Prediction Error = -1.623 Percent = 16.085 Prediction Error = -1.623 Percent = 16.085 Prediction Error = -1.688 Percent = 16.005 Prediction Error = -1.688 Percent = 16.005 Prediction Error = -1.752 Percent = 15.899 Prediction Error = -1.752 Percent = 15.899 Prediction Error = -1.817 Percent = 15.766 Prediction Error = -1.817 Percent = 15.766 Prediction Error = -1.882 Percent = 15.606 Prediction Error = -1.882 Percent = 15.606 Prediction Error = -1.946 Percent = 15.419 Prediction Error = -1.946 Percent = 15.419 Prediction Error = -2.011 Percent = 15.204 Prediction Error = -2.011 Percent = 15.204 Prediction Error = -2.076 Percent = 14.963 Prediction Error = -2.076 Percent = 14.963 Prediction Error = -2.14 Percent = 14.696 Prediction Error = -2.14 Percent = 14.696 Prediction Error = -2.205 Percent = 14.404 Prediction Error = -2.205 Percent = 14.404 Prediction Error = -2.27 Percent = 14.088 Prediction Error = -2.27 Percent = 14.088 Prediction Error = -2.334 Percent = 13.749 Prediction Error = -2.334 Percent = 13.749 Prediction Error = -2.399 Percent = 13.39 Prediction Error = -2.399 Percent = 13.39 Prediction Error = -2.463 Percent = 13.012 Prediction Error = -2.463 Percent = 13.012 Prediction Error = -3.174 Percent = 8.2368 Prediction Error = -3.174 Percent = 8.2368 Prediction Error = -3.304 Percent = 7.3783 Prediction Error = -3.304 Percent = 7.3783 Prediction Error = -3.433 Percent = 6.5583 Prediction Error = -3.433 Percent = 6.5583 Prediction Error = -3.498 Percent = 6.1658 Prediction Error = -3.498 Percent = 6.1658 Prediction Error = -3.562 Percent = 5.7861 Prediction Error = -3.562 Percent = 5.7861 Prediction Error = -3.627 Percent = 5.4199 Prediction Error = -3.627 Percent = 5.4199 Prediction Error = -3.692 Percent = 5.0678 Prediction Error = -3.692 Percent = 5.0678 Prediction Error = -3.756 Percent = 4.7302 Prediction Error = -3.756 Percent = 4.7302 Prediction Error = -3.821 Percent = 4.4073 Prediction Error = -3.821 Percent = 4.4073 Prediction Error = -3.885 Percent = 4.0993 Prediction Error = -3.885 Percent = 4.0993 Prediction Error = -3.95 Percent = 3.8061 Prediction Error = -3.95 Percent = 3.8061 Prediction Error = -4.015 Percent = 3.5276 Prediction Error = -4.015 Percent = 3.5276 Prediction Error = -4.079 Percent = 3.2637 Prediction Error = -4.079 Percent = 3.2637 Prediction Error = -4.144 Percent = 3.0141 Prediction Error = -4.144 Percent = 3.0141 Prediction Error = -4.209 Percent = 2.7785 Prediction Error = -4.209 Percent = 2.7785 Prediction Error = -4.273 Percent = 2.5565 Prediction Error = -4.273 Percent = 2.5565 Prediction Error = -4.338 Percent = 2.3477 Prediction Error = -4.338 Percent = 2.3477 Prediction Error = -4.403 Percent = 2.1518 Prediction Error = -4.403 Percent = 2.1518 Prediction Error = -4.467 Percent = 1.9681 Prediction Error = -4.467 Percent = 1.9681 Prediction Error = -4.532 Percent = 1.7964 Prediction Error = -4.532 Percent = 1.7964 Prediction Error = -4.596 Percent = 1.636 Prediction Error = -4.596 Percent = 1.636 Prediction Error = -4.661 Percent = 1.4866 Prediction Error = -4.661 Percent = 1.4866 Prediction Error = -4.726 Percent = 1.3476 Prediction Error = -4.726 Percent = 1.3476 Prediction Error = -4.79 Percent = 1.2186 Prediction Error = -4.79 Percent = 1.2186 Prediction Error = -4.855 Percent = 1.0992 Prediction Error = -4.855 Percent = 1.0992 Prediction Error = -4.92 Percent = 0.9889 Prediction Error = -4.92 Percent = 0.9889 Prediction Error = -4.984 Percent = 0.8871 Prediction Error = -4.984 Percent = 0.8871 Prediction Error = -5.049 Percent = 0.7936 Prediction Error = -5.049 Percent = 0.7936 Prediction Error = -5.113 Percent = 0.7079 Prediction Error = -5.113 Percent = 0.7079 Prediction Error = -5.178 Percent = 0.6295 Prediction Error = -5.178 Percent = 0.6295 Prediction Error = -5.243 Percent = 0.5581 Prediction Error = -5.243 Percent = 0.5581 Prediction Error = -5.307 Percent = 0.4931 Prediction Error = -5.307 Percent = 0.4931 Prediction Error = -5.372 Percent = 0.4343 Prediction Error = -5.372 Percent = 0.4343 Prediction Error = -5.437 Percent = 0.3811 Prediction Error = -5.437 Percent = 0.3811 Prediction Error = -5.501 Percent = 0.3333 Prediction Error = -5.501 Percent = 0.3333 Prediction Error = -5.566 Percent = 0.2905 Prediction Error = -5.566 Percent = 0.2905 Prediction Error = -5.631 Percent = 0.2522 Prediction Error = -5.631 Percent = 0.2522 Prediction Error = -5.695 Percent = 0.2182 Prediction Error = -5.695 Percent = 0.2182 Prediction Error = -5.76 Percent = 0.188 Prediction Error = -5.76 Percent = 0.188 Prediction Error = -5.824 Percent = 0.1613 Prediction Error = -5.824 Percent = 0.1613 Prediction Error = -5.889 Percent = 0.1379 Prediction Error = -5.889 Percent = 0.1379 Prediction Error = -5.954 Percent = 0.1174 Prediction Error = -5.954 Percent = 0.1174 Prediction Error = -6.018 Percent = 0.0996 Prediction Error = -6.018 Percent = 0.0996 Prediction Error = -6.083 Percent = 0.0841 Prediction Error = -6.083 Percent = 0.0841 Prediction Error = -6.148 Percent = 0.0707 Prediction Error = -6.148 Percent = 0.0707 Prediction Error = -6.212 Percent = 0.0592 Prediction Error = -6.212 Percent = 0.0592 Prediction Error = -6.277 Percent = 0.0494 Prediction Error = -6.277 Percent = 0.0494 Prediction Error = -6.342 Percent = 0.041 Prediction Error = -6.342 Percent = 0.041 Prediction Error = -6.406 Percent = 0.0339 Prediction Error = -6.406 Percent = 0.0339 Prediction Error = -6.471 Percent = 0.0279 Prediction Error = -6.471 Percent = 0.0279 Prediction Error = -6.535 Percent = 0.0228 Prediction Error = 5.8667 Percent = 0.2235 Prediction Error = 5.8067 Percent = 0.2447 Prediction Error = 5.8067 Percent = 0.2447 Prediction Error = 5.7466 Percent = 0.2676 Prediction Error = 5.7466 Percent = 0.2676 Prediction Error = 5.6865 Percent = 0.2924 Prediction Error = 5.6865 Percent = 0.2924 Prediction Error = 5.6264 Percent = 0.3192 Prediction Error = 5.6264 Percent = 0.3192 Prediction Error = 5.5663 Percent = 0.3482 Prediction Error = 5.5663 Percent = 0.3482 Prediction Error = 5.5063 Percent = 0.3794 Prediction Error = 5.5063 Percent = 0.3794 Prediction Error = 5.4462 Percent = 0.413 Prediction Error = 5.4462 Percent = 0.413 Prediction Error = 5.3861 Percent = 0.4492 Prediction Error = 5.3861 Percent = 0.4492 Prediction Error = 5.326 Percent = 0.4881 Prediction Error = 5.326 Percent = 0.4881 Prediction Error = 5.266 Percent = 0.5299 Prediction Error = 5.266 Percent = 0.5299 Prediction Error = 5.2059 Percent = 0.5748 Prediction Error = 5.2059 Percent = 0.5748 Prediction Error = 5.1458 Percent = 0.6229 Prediction Error = 5.1458 Percent = 0.6229 Prediction Error = 5.0857 Percent = 0.6744 Prediction Error = 5.0857 Percent = 0.6744 Prediction Error = 5.0256 Percent = 0.7295 Prediction Error = 5.0256 Percent = 0.7295 Prediction Error = 4.9656 Percent = 0.7883 Prediction Error = 4.9656 Percent = 0.7883 Prediction Error = 4.9055 Percent = 0.8512 Prediction Error = 4.9055 Percent = 0.8512 Prediction Error = 4.8454 Percent = 0.9181 Prediction Error = 4.8454 Percent = 0.9181 Prediction Error = 4.7853 Percent = 0.9895 Prediction Error = 4.7853 Percent = 0.9895 Prediction Error = 4.7253 Percent = 1.0654 Prediction Error = 4.7253 Percent = 1.0654 Prediction Error = 4.6652 Percent = 1.1461 Prediction Error = 4.6652 Percent = 1.1461 Prediction Error = 4.6051 Percent = 1.2318 Prediction Error = 4.6051 Percent = 1.2318 Prediction Error = 4.545 Percent = 1.3226 Prediction Error = 4.545 Percent = 1.3226 Prediction Error = 4.4849 Percent = 1.4189 Prediction Error = 4.4849 Percent = 1.4189 Prediction Error = 4.4249 Percent = 1.5207 Prediction Error = 4.4249 Percent = 1.5207 Prediction Error = 4.3648 Percent = 1.6284 Prediction Error = 4.3648 Percent = 1.6284 Prediction Error = 4.3047 Percent = 1.7421 Prediction Error = 4.3047 Percent = 1.7421 Prediction Error = 4.2446 Percent = 1.862 Prediction Error = 4.2446 Percent = 1.862 Prediction Error = 4.1845 Percent = 1.9884 Prediction Error = 4.1845 Percent = 1.9884 Prediction Error = 4.1245 Percent = 2.1214 Prediction Error = 4.1245 Percent = 2.1214 Prediction Error = 4.0644 Percent = 2.2612 Prediction Error = 4.0644 Percent = 2.2612 Prediction Error = 4.0043 Percent = 2.408 Prediction Error = 4.0043 Percent = 2.408 Prediction Error = 3.9442 Percent = 2.5619 Prediction Error = 3.9442 Percent = 2.5619 Prediction Error = 3.8842 Percent = 2.7233 Prediction Error = 3.8842 Percent = 2.7233 Prediction Error = 3.8241 Percent = 2.8921 Prediction Error = 3.8241 Percent = 2.8921 Prediction Error = 3.764 Percent = 3.0685 Prediction Error = 3.764 Percent = 3.0685 Prediction Error = 3.7039 Percent = 3.2528 Prediction Error = 3.7039 Percent = 3.2528 Prediction Error = 3.6438 Percent = 3.4449 Prediction Error = 3.6438 Percent = 3.4449 Prediction Error = 3.5838 Percent = 3.6451 Prediction Error = 3.5838 Percent = 3.6451 Prediction Error = 3.5237 Percent = 3.8533 Prediction Error = 3.5237 Percent = 3.8533 Prediction Error = 3.4636 Percent = 4.0697 Prediction Error = 3.4636 Percent = 4.0697 Prediction Error = 3.4035 Percent = 4.2943 Prediction Error = 3.4035 Percent = 4.2943 Prediction Error = 3.3434 Percent = 4.5271 Prediction Error = 3.3434 Percent = 4.5271 Prediction Error = 3.2834 Percent = 4.7682 Prediction Error = 3.2834 Percent = 4.7682 Prediction Error = 3.2233 Percent = 5.0175 Prediction Error = 3.2233 Percent = 5.0175 Prediction Error = 3.1632 Percent = 5.275 Prediction Error = 3.1632 Percent = 5.275 Prediction Error = 3.0431 Percent = 5.8143 Prediction Error = 3.0431 Percent = 5.8143 Prediction Error = 2.9229 Percent = 6.3852 Prediction Error = 2.9229 Percent = 6.3852 Prediction Error = 2.8027 Percent = 6.9865 Prediction Error = 2.8027 Percent = 6.9865 Prediction Error = 2.6826 Percent = 7.6163 Prediction Error = 2.6826 Percent = 7.6163 Prediction Error = 2.5624 Percent = 8.2725 Prediction Error = 2.5624 Percent = 8.2725 Prediction Error = 1.6612 Percent = 13.677 Prediction Error = 1.6612 Percent = 13.677 Prediction Error = 1.481 Percent = 14.753 Prediction Error = 1.481 Percent = 14.753 Prediction Error = 1.3609 Percent = 15.446 Prediction Error = 1.3609 Percent = 15.446 Prediction Error = 1.2407 Percent = 16.113 Prediction Error = 1.2407 Percent = 16.113 Prediction Error = 1.1205 Percent = 16.746 Prediction Error = 1.1205 Percent = 16.746 Prediction Error = 1.0605 Percent = 17.049 Prediction Error = 1.0605 Percent = 17.049 Prediction Error = 1.0004 Percent = 17.341 Prediction Error = 1.0004 Percent = 17.341 Prediction Error = 0.9403 Percent = 17.622 Prediction Error = 0.9403 Percent = 17.622 Prediction Error = 0.8802 Percent = 17.891 Prediction Error = 0.8802 Percent = 17.891 Prediction Error = 0.8201 Percent = 18.147 Prediction Error = 0.8201 Percent = 18.147 Prediction Error = 0.7601 Percent = 18.391 Prediction Error = 0.7601 Percent = 18.391 Prediction Error = 0.7 Percent = 18.62 Prediction Error = 0.7 Percent = 18.62 Prediction Error = 0.6399 Percent = 18.835 Prediction Error = 0.6399 Percent = 18.835 Prediction Error = 0.5798 Percent = 19.035 Prediction Error = 0.5798 Percent = 19.035 Prediction Error = 0.5198 Percent = 19.219 Prediction Error = 0.5198 Percent = 19.219 Prediction Error = 0.4597 Percent = 19.388 Prediction Error = 0.4597 Percent = 19.388 Prediction Error = 0.3996 Percent = 19.54 Prediction Error = 0.3996 Percent = 19.54 Prediction Error = 0.3395 Percent = 19.675 Prediction Error = 0.3395 Percent = 19.675 Prediction Error = 0.2794 Percent = 19.792 Prediction Error = 0.2794 Percent = 19.792 Prediction Error = 0.2194 Percent = 19.893 Prediction Error = 0.2194 Percent = 19.893 Prediction Error = 0.1593 Percent = 19.975 Prediction Error = 0.1593 Percent = 19.975 Prediction Error = 0.0992 Percent = 20.039 Prediction Error = 0.0992 Percent = 20.039 Prediction Error = 0.0391 Percent = 20.085 Prediction Error = 0.0391 Percent = 20.085 Prediction Error = -0.021 Percent = 20.113 Prediction Error = -0.021 Percent = 20.113 Prediction Error = -0.081 Percent = 20.122 Prediction Error = -0.081 Percent = 20.122 Prediction Error = -0.141 Percent = 20.113 Prediction Error = -0.141 Percent = 20.113 Prediction Error = -0.201 Percent = 20.085 Prediction Error = -0.201 Percent = 20.085 Prediction Error = -0.261 Percent = 20.039 Prediction Error = -0.261 Percent = 20.039 Prediction Error = -0.321 Percent = 19.975 Prediction Error = -0.321 Percent = 19.975 Prediction Error = -0.381 Percent = 19.893 Prediction Error = -0.381 Percent = 19.893 Prediction Error = -0.442 Percent = 19.792 Prediction Error = -0.442 Percent = 19.792 Prediction Error = -0.502 Percent = 19.675 Prediction Error = -0.502 Percent = 19.675 Prediction Error = -0.562 Percent = 19.54 Prediction Error = -0.562 Percent = 19.54 Prediction Error = -0.622 Percent = 19.388 Prediction Error = -0.622 Percent = 19.388 Prediction Error = -0.682 Percent = 19.219 Prediction Error = -0.682 Percent = 19.219 Prediction Error = -0.742 Percent = 19.035 Prediction Error = -0.742 Percent = 19.035 Prediction Error = -0.802 Percent = 18.835 Prediction Error = -0.802 Percent = 18.835 Prediction Error = -0.862 Percent = 18.62 Prediction Error = -0.862 Percent = 18.62 Prediction Error = -0.922 Percent = 18.391 Prediction Error = -0.922 Percent = 18.391 Prediction Error = -0.982 Percent = 18.147 Prediction Error = -0.982 Percent = 18.147 Prediction Error = -1.042 Percent = 17.891 Prediction Error = -1.042 Percent = 17.891 Prediction Error = -1.102 Percent = 17.622 Prediction Error = -1.102 Percent = 17.622 Prediction Error = -1.162 Percent = 17.341 Prediction Error = -1.162 Percent = 17.341 Prediction Error = -1.223 Percent = 17.049 Prediction Error = -1.223 Percent = 17.049 Prediction Error = -1.283 Percent = 16.746 Prediction Error = -1.283 Percent = 16.746 Prediction Error = -1.403 Percent = 16.113 Prediction Error = -1.403 Percent = 16.113 Prediction Error = -1.523 Percent = 15.446 Prediction Error = -1.523 Percent = 15.446 Prediction Error = -2.244 Percent = 11.098 Prediction Error = -2.244 Percent = 11.098 Prediction Error = -2.484 Percent = 9.6524 Prediction Error = -2.484 Percent = 9.6524 Prediction Error = -2.664 Percent = 8.6096 Prediction Error = -2.664 Percent = 8.6096 Prediction Error = -2.785 Percent = 7.9413 Prediction Error = -2.785 Percent = 7.9413 Prediction Error = -2.905 Percent = 7.298 Prediction Error = -2.905 Percent = 7.298 Prediction Error = -3.025 Percent = 6.6822 Prediction Error = -3.025 Percent = 6.6822 Prediction Error = -3.145 Percent = 6.0959 Prediction Error = -3.145 Percent = 6.0959 Prediction Error = -3.265 Percent = 5.5407 Prediction Error = -3.265 Percent = 5.5407 Prediction Error = -3.325 Percent = 5.275 Prediction Error = -3.325 Percent = 5.275 Prediction Error = -3.385 Percent = 5.0175 Prediction Error = -3.385 Percent = 5.0175 Prediction Error = -3.445 Percent = 4.7682 Prediction Error = -3.445 Percent = 4.7682 Prediction Error = -3.506 Percent = 4.5271 Prediction Error = -3.506 Percent = 4.5271 Prediction Error = -3.566 Percent = 4.2943 Prediction Error = -3.566 Percent = 4.2943 Prediction Error = -3.626 Percent = 4.0697 Prediction Error = -3.626 Percent = 4.0697 Prediction Error = -3.686 Percent = 3.8533 Prediction Error = -3.686 Percent = 3.8533 Prediction Error = -3.746 Percent = 3.6451 Prediction Error = -3.746 Percent = 3.6451 Prediction Error = -3.806 Percent = 3.4449 Prediction Error = -3.806 Percent = 3.4449 Prediction Error = -3.866 Percent = 3.2528 Prediction Error = -3.866 Percent = 3.2528 Prediction Error = -3.926 Percent = 3.0685 Prediction Error = -3.926 Percent = 3.0685 Prediction Error = -3.986 Percent = 2.8921 Prediction Error = -3.986 Percent = 2.8921 Prediction Error = -4.046 Percent = 2.7233 Prediction Error = -4.046 Percent = 2.7233 Prediction Error = -4.106 Percent = 2.5619 Prediction Error = -4.106 Percent = 2.5619 Prediction Error = -4.166 Percent = 2.408 Prediction Error = -4.166 Percent = 2.408 Prediction Error = -4.226 Percent = 2.2612 Prediction Error = -4.226 Percent = 2.2612 Prediction Error = -4.287 Percent = 2.1214 Prediction Error = -4.287 Percent = 2.1214 Prediction Error = -4.347 Percent = 1.9884 Prediction Error = -4.347 Percent = 1.9884 Prediction Error = -4.407 Percent = 1.862 Prediction Error = -4.407 Percent = 1.862 Prediction Error = -4.467 Percent = 1.7421 Prediction Error = -4.467 Percent = 1.7421 Prediction Error = -4.527 Percent = 1.6284 Prediction Error = -4.527 Percent = 1.6284 Prediction Error = -4.587 Percent = 1.5207 Prediction Error = -4.587 Percent = 1.5207 Prediction Error = -4.647 Percent = 1.4189 Prediction Error = -4.647 Percent = 1.4189 Prediction Error = -4.707 Percent = 1.3226 Prediction Error = -4.707 Percent = 1.3226 Prediction Error = -4.767 Percent = 1.2318 Prediction Error = -4.767 Percent = 1.2318 Prediction Error = -4.827 Percent = 1.1461 Prediction Error = -4.827 Percent = 1.1461 Prediction Error = -4.887 Percent = 1.0654 Prediction Error = -4.887 Percent = 1.0654 Prediction Error = -4.947 Percent = 0.9895 Prediction Error = -4.947 Percent = 0.9895 Prediction Error = -5.007 Percent = 0.9181 Prediction Error = -5.007 Percent = 0.9181 Prediction Error = -5.068 Percent = 0.8512 Prediction Error = -5.068 Percent = 0.8512 Prediction Error = -5.128 Percent = 0.7883 Prediction Error = -5.128 Percent = 0.7883 Prediction Error = -5.188 Percent = 0.7295 Prediction Error = -5.188 Percent = 0.7295 Prediction Error = -5.248 Percent = 0.6744 Prediction Error = -5.248 Percent = 0.6744 Prediction Error = -5.308 Percent = 0.6229 Prediction Error = -5.308 Percent = 0.6229 Prediction Error = -5.368 Percent = 0.5748 Prediction Error = -5.368 Percent = 0.5748 Prediction Error = -5.428 Percent = 0.5299 Prediction Error = -5.428 Percent = 0.5299 Prediction Error = -5.488 Percent = 0.4881 Prediction Error = -5.488 Percent = 0.4881 Prediction Error = -5.548 Percent = 0.4492 Prediction Error = -5.548 Percent = 0.4492 Prediction Error = -5.608 Percent = 0.413 Prediction Error = -5.608 Percent = 0.413 Prediction Error = -5.668 Percent = 0.3794 Prediction Error = -5.668 Percent = 0.3794 Prediction Error = -5.728 Percent = 0.3482 Prediction Error = -5.728 Percent = 0.3482 Prediction Error = -5.788 Percent = 0.3192 Prediction Error = -5.788 Percent = 0.3192 Prediction Error = -5.849 Percent = 0.2924 Prediction Error = -5.849 Percent = 0.2924 Prediction Error = -5.909 Percent = 0.2676 Prediction Error = -5.909 Percent = 0.2676 Prediction Error = -5.969 Percent = 0.2447 Prediction Error = -5.969 Percent = 0.2447 Prediction Error = -6.029 Percent = 0.2235 Prediction Error = 4 Percent = 3.1111 Prediction Error = 4 Percent = 3.1111 Prediction Error = 3 Percent = 8.4444 Prediction Error = 3 Percent = 8.4444 Prediction Error = 2 Percent = 15.556 Prediction Error = 2 Percent = 15.556 Prediction Error = 1 Percent = 12.444 Prediction Error = 1 Percent = 12.444 Prediction Error = 0 Percent = 16 Prediction Error = 0 Percent = 16 Prediction Error = -1 Percent = 14.667 Prediction Error = -1 Percent = 14.667 Prediction Error = -2 Percent = 19.111 Prediction Error = -2 Percent = 19.111 Prediction Error = -3 Percent = 8 Prediction Error = -3 Percent = 8 Prediction Error = -4 Percent = 2.6667 Prediction Error = -4 Percent = 2.6667 Quantile = 2.7733 Residual = 4 Quantile = 2.4464 Residual = 3.9595 Quantile = 2.2684 Residual = 3.9268 Quantile = 2.1421 Residual = 3.8935 Quantile = 2.0429 Residual = 3.871 Quantile = 1.9604 Residual = 3.804 Quantile = 1.8895 Residual = 3.6208 Quantile = 1.827 Residual = 3.3644 Quantile = 1.7709 Residual = 3.3524 Quantile = 1.7198 Residual = 2.9459 Quantile = 1.6729 Residual = 2.928 Quantile = 1.6294 Residual = 2.874 Quantile = 1.5888 Residual = 2.8624 Quantile = 1.5507 Residual = 2.8336 Quantile = 1.5147 Residual = 2.8129 Quantile = 1.4805 Residual = 2.7643 Quantile = 1.448 Residual = 2.6689 Quantile = 1.417 Residual = 2.6537 Quantile = 1.3872 Residual = 2.6517 Quantile = 1.3587 Residual = 2.628 Quantile = 1.3312 Residual = 2.6148 Quantile = 1.3047 Residual = 2.5828 Quantile = 1.279 Residual = 2.566 Quantile = 1.2542 Residual = 2.5619 Quantile = 1.2301 Residual = 2.5121 Quantile = 1.2068 Residual = 2.5045 Quantile = 1.184 Residual = 2.4362 Quantile = 1.1619 Residual = 2.4268 Quantile = 1.1403 Residual = 2.4105 Quantile = 1.1192 Residual = 2.365 Quantile = 1.0987 Residual = 2.36 Quantile = 1.0785 Residual = 2.3039 Quantile = 1.0588 Residual = 2.3017 Quantile = 1.0395 Residual = 2.1867 Quantile = 1.0206 Residual = 2.111 Quantile = 1.0021 Residual = 2.1031 Quantile = 0.9838 Residual = 2.1015 Quantile = 0.9659 Residual = 2.0792 Quantile = 0.9483 Residual = 2.0169 Quantile = 0.931 Residual = 1.9747 Quantile = 0.914 Residual = 1.9287 Quantile = 0.8972 Residual = 1.9088 Quantile = 0.8807 Residual = 1.9087 Quantile = 0.8644 Residual = 1.9073 Quantile = 0.8484 Residual = 1.8768 Quantile = 0.8325 Residual = 1.8566 Quantile = 0.8169 Residual = 1.8447 Quantile = 0.8015 Residual = 1.8403 Quantile = 0.7862 Residual = 1.838 Quantile = 0.7711 Residual = 1.819 Quantile = 0.7562 Residual = 1.8054 Quantile = 0.7415 Residual = 1.7956 Quantile = 0.7269 Residual = 1.7721 Quantile = 0.7125 Residual = 1.7607 Quantile = 0.6983 Residual = 1.7363 Quantile = 0.6841 Residual = 1.7152 Quantile = 0.6701 Residual = 1.6343 Quantile = 0.6563 Residual = 1.5888 Quantile = 0.6425 Residual = 1.5747 Quantile = 0.6289 Residual = 1.5543 Quantile = 0.6154 Residual = 1.5445 Quantile = 0.602 Residual = 1.497 Quantile = 0.5887 Residual = 1.4787 Quantile = 0.5755 Residual = 1.4479 Quantile = 0.5625 Residual = 1.4332 Quantile = 0.5495 Residual = 1.3642 Quantile = 0.5366 Residual = 1.3313 Quantile = 0.5238 Residual = 1.3142 Quantile = 0.511 Residual = 1.2888 Quantile = 0.4984 Residual = 1.2624 Quantile = 0.4858 Residual = 1.2597 Quantile = 0.4734 Residual = 1.2459 Quantile = 0.4609 Residual = 1.2036 Quantile = 0.4486 Residual = 1.1599 Quantile = 0.4363 Residual = 1.1427 Quantile = 0.4241 Residual = 1.1161 Quantile = 0.412 Residual = 1.0908 Quantile = 0.3999 Residual = 1.0697 Quantile = 0.3879 Residual = 1.0233 Quantile = 0.3759 Residual = 0.9698 Quantile = 0.364 Residual = 0.9597 Quantile = 0.3521 Residual = 0.955 Quantile = 0.3403 Residual = 0.9211 Quantile = 0.3285 Residual = 0.8349 Quantile = 0.3168 Residual = 0.8304 Quantile = 0.3051 Residual = 0.7222 Quantile = 0.2935 Residual = 0.6944 Quantile = 0.2819 Residual = 0.6742 Quantile = 0.2703 Residual = 0.5947 Quantile = 0.2588 Residual = 0.497 Quantile = 0.2473 Residual = 0.4757 Quantile = 0.2359 Residual = 0.4581 Quantile = 0.2244 Residual = 0.417 Quantile = 0.213 Residual = 0.3419 Quantile = 0.2017 Residual = 0.3076 Quantile = 0.1903 Residual = 0.2749 Quantile = 0.179 Residual = 0.2703 Quantile = 0.1677 Residual = 0.2151 Quantile = 0.1564 Residual = 0.1012 Quantile = 0.1452 Residual = 0.0692 Quantile = 0.1339 Residual = 0.002 Quantile = 0.1227 Residual = -0.006 Quantile = 0.1115 Residual = -0.012 Quantile = 0.1003 Residual = -0.036 Quantile = 0.0891 Residual = -0.047 Quantile = 0.078 Residual = -0.054 Quantile = 0.0668 Residual = -0.061 Quantile = 0.0557 Residual = -0.061 Quantile = 0.0445 Residual = -0.086 Quantile = 0.0334 Residual = -0.092 Quantile = 0.0223 Residual = -0.115 Quantile = 0.0111 Residual = -0.118 Quantile = 0 Residual = -0.145 Quantile = -0.011 Residual = -0.155 Quantile = -0.022 Residual = -0.163 Quantile = -0.033 Residual = -0.166 Quantile = -0.045 Residual = -0.215 Quantile = -0.056 Residual = -0.225 Quantile = -0.067 Residual = -0.228 Quantile = -0.078 Residual = -0.263 Quantile = -0.089 Residual = -0.264 Quantile = -0.1 Residual = -0.265 Quantile = -0.112 Residual = -0.286 Quantile = -0.123 Residual = -0.29 Quantile = -0.134 Residual = -0.481 Quantile = -0.145 Residual = -0.525 Quantile = -0.156 Residual = -0.627 Quantile = -0.168 Residual = -0.654 Quantile = -0.179 Residual = -0.701 Quantile = -0.19 Residual = -0.81 Quantile = -0.202 Residual = -0.893 Quantile = -0.213 Residual = -0.908 Quantile = -0.224 Residual = -0.91 Quantile = -0.236 Residual = -0.972 Quantile = -0.247 Residual = -0.982 Quantile = -0.259 Residual = -0.99 Quantile = -0.27 Residual = -0.994 Quantile = -0.282 Residual = -1.026 Quantile = -0.293 Residual = -1.026 Quantile = -0.305 Residual = -1.048 Quantile = -0.317 Residual = -1.08 Quantile = -0.329 Residual = -1.116 Quantile = -0.34 Residual = -1.166 Quantile = -0.352 Residual = -1.186 Quantile = -0.364 Residual = -1.187 Quantile = -0.376 Residual = -1.235 Quantile = -0.388 Residual = -1.247 Quantile = -0.4 Residual = -1.341 Quantile = -0.412 Residual = -1.36 Quantile = -0.424 Residual = -1.373 Quantile = -0.436 Residual = -1.4 Quantile = -0.449 Residual = -1.466 Quantile = -0.461 Residual = -1.467 Quantile = -0.473 Residual = -1.472 Quantile = -0.486 Residual = -1.485 Quantile = -0.498 Residual = -1.489 Quantile = -0.511 Residual = -1.493 Quantile = -0.524 Residual = -1.497 Quantile = -0.537 Residual = -1.501 Quantile = -0.549 Residual = -1.52 Quantile = -0.562 Residual = -1.553 Quantile = -0.576 Residual = -1.558 Quantile = -0.589 Residual = -1.575 Quantile = -0.602 Residual = -1.592 Quantile = -0.615 Residual = -1.626 Quantile = -0.629 Residual = -1.668 Quantile = -0.643 Residual = -1.705 Quantile = -0.656 Residual = -1.71 Quantile = -0.67 Residual = -1.715 Quantile = -0.684 Residual = -1.724 Quantile = -0.698 Residual = -1.731 Quantile = -0.713 Residual = -1.777 Quantile = -0.727 Residual = -1.799 Quantile = -0.742 Residual = -1.852 Quantile = -0.756 Residual = -1.859 Quantile = -0.771 Residual = -1.865 Quantile = -0.786 Residual = -1.867 Quantile = -0.801 Residual = -1.889 Quantile = -0.817 Residual = -1.908 Quantile = -0.833 Residual = -1.92 Quantile = -0.848 Residual = -1.963 Quantile = -0.864 Residual = -1.976 Quantile = -0.881 Residual = -1.986 Quantile = -0.897 Residual = -2.004 Quantile = -0.914 Residual = -2.062 Quantile = -0.931 Residual = -2.099 Quantile = -0.948 Residual = -2.106 Quantile = -0.966 Residual = -2.118 Quantile = -0.984 Residual = -2.12 Quantile = -1.002 Residual = -2.216 Quantile = -1.021 Residual = -2.248 Quantile = -1.04 Residual = -2.267 Quantile = -1.059 Residual = -2.291 Quantile = -1.079 Residual = -2.368 Quantile = -1.099 Residual = -2.377 Quantile = -1.119 Residual = -2.393 Quantile = -1.14 Residual = -2.399 Quantile = -1.162 Residual = -2.445 Quantile = -1.184 Residual = -2.45 Quantile = -1.207 Residual = -2.459 Quantile = -1.23 Residual = -2.5 Quantile = -1.254 Residual = -2.588 Quantile = -1.279 Residual = -2.593 Quantile = -1.305 Residual = -2.626 Quantile = -1.331 Residual = -2.662 Quantile = -1.359 Residual = -2.692 Quantile = -1.387 Residual = -2.703 Quantile = -1.417 Residual = -2.745 Quantile = -1.448 Residual = -2.775 Quantile = -1.481 Residual = -2.791 Quantile = -1.515 Residual = -2.794 Quantile = -1.551 Residual = -2.812 Quantile = -1.589 Residual = -2.859 Quantile = -1.629 Residual = -2.86 Quantile = -1.673 Residual = -2.974 Quantile = -1.72 Residual = -2.989 Quantile = -1.771 Residual = -3.158 Quantile = -1.827 Residual = -3.465 Quantile = -1.89 Residual = -3.494 Quantile = -1.96 Residual = -3.599 Quantile = -2.043 Residual = -3.632 Quantile = -2.142 Residual = -3.733 Quantile = -2.268 Residual = -3.912 Quantile = -2.446 Residual = -4.245 Quantile = -2.773 Residual = -4.273 Slope = 1.9826 Y = -0.081 Lag = 24 ACF = -0.173 Lag = 23 ACF = -0.046 Lag = 22 ACF = -0.063 Lag = 21 ACF = -0.134 Lag = 20 ACF = 0.0471 Lag = 19 ACF = 0.0801 Lag = 18 ACF = -0.054 Lag = 17 ACF = 0.0088 Lag = 16 ACF = -0.127 Lag = 15 ACF = 0.0118 Lag = 14 ACF = -0.037 Lag = 13 ACF = -0.139 Lag = 12 ACF = 0.005 Lag = 11 ACF = 0.0091 Lag = 10 ACF = 0.0051 Lag = 9 ACF = 0.0214 Lag = 8 ACF = 0.0305 Lag = 7 ACF = 0.0539 Lag = 6 ACF = -0.06 Lag = 5 ACF = 0.1009 Lag = 4 ACF = 0.0135 Lag = 3 ACF = 0.052 Lag = 2 ACF = 0.0729 Lag = 1 ACF = 0.0239 Lag = 0 ACF = 1 Lag = 24 Lower = -0.146 Upper = 0.146 Lag = 23 Lower = -0.146 Upper = 0.1458 Lag = 23 Lower = -0.146 Upper = 0.1458 Lag = 22 Lower = -0.145 Upper = 0.1453 Lag = 22 Lower = -0.145 Upper = 0.1453 Lag = 21 Lower = -0.143 Upper = 0.1431 Lag = 21 Lower = -0.143 Upper = 0.1431 Lag = 20 Lower = -0.143 Upper = 0.1428 Lag = 20 Lower = -0.143 Upper = 0.1428 Lag = 19 Lower = -0.142 Upper = 0.142 Lag = 19 Lower = -0.142 Upper = 0.142 Lag = 18 Lower = -0.142 Upper = 0.1416 Lag = 18 Lower = -0.142 Upper = 0.1416 Lag = 17 Lower = -0.142 Upper = 0.1416 Lag = 17 Lower = -0.142 Upper = 0.1416 Lag = 16 Lower = -0.14 Upper = 0.1396 Lag = 16 Lower = -0.14 Upper = 0.1396 Lag = 15 Lower = -0.14 Upper = 0.1395 Lag = 15 Lower = -0.14 Upper = 0.1395 Lag = 14 Lower = -0.139 Upper = 0.1394 Lag = 14 Lower = -0.139 Upper = 0.1394 Lag = 13 Lower = -0.137 Upper = 0.1369 Lag = 13 Lower = -0.137 Upper = 0.1369 Lag = 12 Lower = -0.137 Upper = 0.1369 Lag = 12 Lower = -0.137 Upper = 0.1369 Lag = 11 Lower = -0.137 Upper = 0.1369 Lag = 11 Lower = -0.137 Upper = 0.1369 Lag = 10 Lower = -0.137 Upper = 0.1369 Lag = 10 Lower = -0.137 Upper = 0.1369 Lag = 9 Lower = -0.137 Upper = 0.1368 Lag = 9 Lower = -0.137 Upper = 0.1368 Lag = 8 Lower = -0.137 Upper = 0.1367 Lag = 8 Lower = -0.137 Upper = 0.1367 Lag = 7 Lower = -0.136 Upper = 0.1363 Lag = 7 Lower = -0.136 Upper = 0.1363 Lag = 6 Lower = -0.136 Upper = 0.1358 Lag = 6 Lower = -0.136 Upper = 0.1358 Lag = 5 Lower = -0.134 Upper = 0.1345 Lag = 5 Lower = -0.134 Upper = 0.1345 Lag = 4 Lower = -0.134 Upper = 0.1345 Lag = 4 Lower = -0.134 Upper = 0.1345 Lag = 3 Lower = -0.134 Upper = 0.1341 Lag = 3 Lower = -0.134 Upper = 0.1341 Lag = 2 Lower = -0.133 Upper = 0.1334 Lag = 2 Lower = -0.133 Upper = 0.1334 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = -0.177 Lag = 23 PACF = -0.015 Lag = 22 PACF = -0.087 Lag = 21 PACF = -0.112 Lag = 20 PACF = 0.0547 Lag = 19 PACF = 0.0815 Lag = 18 PACF = -0.015 Lag = 17 PACF = 0.0195 Lag = 16 PACF = -0.122 Lag = 15 PACF = 0.0338 Lag = 14 PACF = -0.035 Lag = 13 PACF = -0.143 Lag = 12 PACF = -0.011 Lag = 11 PACF = 0.0162 Lag = 10 PACF = -0.013 Lag = 9 PACF = 0.0182 Lag = 8 PACF = 0.0281 Lag = 7 PACF = 0.0432 Lag = 6 PACF = -0.069 Lag = 5 PACF = 0.0941 Lag = 4 PACF = 0.0062 Lag = 3 PACF = 0.0489 Lag = 2 PACF = 0.0723 Lag = 1 PACF = 0.0239 Lag = 24 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Aug2019 Loess Fit = 0.1015 Date_of_death = Jul2019 Loess Fit = 0.0815 Date_of_death = Jul2019 Loess Fit = 0.0815 Date_of_death = Jun2019 Loess Fit = 0.0616 Date_of_death = Jun2019 Loess Fit = 0.0616 Date_of_death = May2019 Loess Fit = 0.0416 Date_of_death = May2019 Loess Fit = 0.0416 Date_of_death = Apr2019 Loess Fit = 0.0216 Date_of_death = Apr2019 Loess Fit = 0.0216 Date_of_death = Mar2019 Loess Fit = 0.0017 Date_of_death = Mar2019 Loess Fit = 0.0017 Date_of_death = Feb2019 Loess Fit = -0.018 Date_of_death = Feb2019 Loess Fit = -0.018 Date_of_death = Jan2019 Loess Fit = -0.029 Date_of_death = Jan2019 Loess Fit = -0.029 Date_of_death = Dec2018 Loess Fit = -0.038 Date_of_death = Dec2018 Loess Fit = -0.038 Date_of_death = Oct2018 Loess Fit = -0.047 Date_of_death = Oct2018 Loess Fit = -0.047 Date_of_death = Sep2018 Loess Fit = -0.055 Date_of_death = Sep2018 Loess Fit = -0.055 Date_of_death = Aug2018 Loess Fit = -0.064 Date_of_death = Aug2018 Loess Fit = -0.064 Date_of_death = Jul2018 Loess Fit = -0.072 Date_of_death = Jul2018 Loess Fit = -0.072 Date_of_death = Jun2018 Loess Fit = -0.084 Date_of_death = Jun2018 Loess Fit = -0.084 Date_of_death = May2018 Loess Fit = -0.1 Date_of_death = May2018 Loess Fit = -0.1 Date_of_death = Apr2018 Loess Fit = -0.115 Date_of_death = Apr2018 Loess Fit = -0.115 Date_of_death = Mar2018 Loess Fit = -0.13 Date_of_death = Mar2018 Loess Fit = -0.13 Date_of_death = Jan2018 Loess Fit = -0.146 Date_of_death = Jan2018 Loess Fit = -0.146 Date_of_death = Dec2017 Loess Fit = -0.161 Date_of_death = Dec2017 Loess Fit = -0.161 Date_of_death = Nov2017 Loess Fit = -0.165 Date_of_death = Nov2017 Loess Fit = -0.165 Date_of_death = Oct2017 Loess Fit = -0.136 Date_of_death = Oct2017 Loess Fit = -0.136 Date_of_death = Sep2017 Loess Fit = -0.106 Date_of_death = Sep2017 Loess Fit = -0.106 Date_of_death = Aug2017 Loess Fit = -0.077 Date_of_death = Aug2017 Loess Fit = -0.077 Date_of_death = Jul2017 Loess Fit = -0.047 Date_of_death = Jul2017 Loess Fit = -0.047 Date_of_death = Jun2017 Loess Fit = -0.018 Date_of_death = Jun2017 Loess Fit = -0.018 Date_of_death = May2017 Loess Fit = 0.0119 Date_of_death = May2017 Loess Fit = 0.0119 Date_of_death = Mar2017 Loess Fit = 0.0304 Date_of_death = Mar2017 Loess Fit = 0.0304 Date_of_death = Feb2017 Loess Fit = 0.0487 Date_of_death = Feb2017 Loess Fit = 0.0487 Date_of_death = Jan2017 Loess Fit = 0.0669 Date_of_death = Jan2017 Loess Fit = 0.0669 Date_of_death = Dec2016 Loess Fit = 0.0852 Date_of_death = Dec2016 Loess Fit = 0.0852 Date_of_death = Nov2016 Loess Fit = 0.1034 Date_of_death = Nov2016 Loess Fit = 0.1034 Date_of_death = Oct2016 Loess Fit = 0.1217 Date_of_death = Oct2016 Loess Fit = 0.1217 Date_of_death = Sep2016 Loess Fit = 0.0859 Date_of_death = Sep2016 Loess Fit = 0.0859 Date_of_death = Aug2016 Loess Fit = 0.0326 Date_of_death = Aug2016 Loess Fit = 0.0326 Date_of_death = Jun2016 Loess Fit = -0.021 Date_of_death = Jun2016 Loess Fit = -0.021 Date_of_death = May2016 Loess Fit = -0.074 Date_of_death = May2016 Loess Fit = -0.074 Date_of_death = Apr2016 Loess Fit = -0.127 Date_of_death = Apr2016 Loess Fit = -0.127 Date_of_death = Mar2016 Loess Fit = -0.181 Date_of_death = Mar2016 Loess Fit = -0.181 Date_of_death = Feb2016 Loess Fit = -0.213 Date_of_death = Feb2016 Loess Fit = -0.213 Date_of_death = Jan2016 Loess Fit = -0.223 Date_of_death = Jan2016 Loess Fit = -0.223 Date_of_death = Dec2015 Loess Fit = -0.232 Date_of_death = Dec2015 Loess Fit = -0.232 Date_of_death = Nov2015 Loess Fit = -0.242 Date_of_death = Nov2015 Loess Fit = -0.242 Date_of_death = Sep2015 Loess Fit = -0.251 Date_of_death = Sep2015 Loess Fit = -0.251 Date_of_death = Aug2015 Loess Fit = -0.26 Date_of_death = Aug2015 Loess Fit = -0.26 Date_of_death = Jul2015 Loess Fit = -0.268 Date_of_death = Jul2015 Loess Fit = -0.268 Date_of_death = Jun2015 Loess Fit = -0.27 Date_of_death = Jun2015 Loess Fit = -0.27 Date_of_death = May2015 Loess Fit = -0.272 Date_of_death = May2015 Loess Fit = -0.272 Date_of_death = Apr2015 Loess Fit = -0.274 Date_of_death = Apr2015 Loess Fit = -0.274 Date_of_death = Mar2015 Loess Fit = -0.276 Date_of_death = Mar2015 Loess Fit = -0.276 Date_of_death = Feb2015 Loess Fit = -0.278 Date_of_death = Feb2015 Loess Fit = -0.278 Date_of_death = Dec2014 Loess Fit = -0.28 Date_of_death = Dec2014 Loess Fit = -0.28 Date_of_death = Nov2014 Loess Fit = -0.264 Date_of_death = Nov2014 Loess Fit = -0.264 Date_of_death = Oct2014 Loess Fit = -0.248 Date_of_death = Oct2014 Loess Fit = -0.248 Date_of_death = Sep2014 Loess Fit = -0.232 Date_of_death = Sep2014 Loess Fit = -0.232 Date_of_death = Aug2014 Loess Fit = -0.216 Date_of_death = Aug2014 Loess Fit = -0.216 Date_of_death = Jul2014 Loess Fit = -0.2 Date_of_death = Jul2014 Loess Fit = -0.2 Date_of_death = Jun2014 Loess Fit = -0.183 Date_of_death = Jun2014 Loess Fit = -0.183 Date_of_death = May2014 Loess Fit = -0.172 Date_of_death = May2014 Loess Fit = -0.172 Date_of_death = Apr2014 Loess Fit = -0.162 Date_of_death = Apr2014 Loess Fit = -0.162 Date_of_death = Feb2014 Loess Fit = -0.153 Date_of_death = Feb2014 Loess Fit = -0.153 Date_of_death = Jan2014 Loess Fit = -0.143 Date_of_death = Jan2014 Loess Fit = -0.143 Date_of_death = Dec2013 Loess Fit = -0.133 Date_of_death = Dec2013 Loess Fit = -0.133 Date_of_death = Nov2013 Loess Fit = -0.124 Date_of_death = Nov2013 Loess Fit = -0.124 Date_of_death = Oct2013 Loess Fit = -0.152 Date_of_death = Oct2013 Loess Fit = -0.152 Date_of_death = Sep2013 Loess Fit = -0.217 Date_of_death = Sep2013 Loess Fit = -0.217 Date_of_death = Aug2013 Loess Fit = -0.282 Date_of_death = Aug2013 Loess Fit = -0.282 Date_of_death = Jul2013 Loess Fit = -0.346 Date_of_death = Jul2013 Loess Fit = -0.346 Date_of_death = May2013 Loess Fit = -0.411 Date_of_death = May2013 Loess Fit = -0.411 Date_of_death = Apr2013 Loess Fit = -0.476 Date_of_death = Apr2013 Loess Fit = -0.476 Date_of_death = Mar2013 Loess Fit = -0.531 Date_of_death = Mar2013 Loess Fit = -0.531 Date_of_death = Feb2013 Loess Fit = -0.554 Date_of_death = Feb2013 Loess Fit = -0.554 Date_of_death = Jan2013 Loess Fit = -0.576 Date_of_death = Jan2013 Loess Fit = -0.576 Date_of_death = Dec2012 Loess Fit = -0.599 Date_of_death = Dec2012 Loess Fit = -0.599 Date_of_death = Nov2012 Loess Fit = -0.622 Date_of_death = Nov2012 Loess Fit = -0.622 Date_of_death = Oct2012 Loess Fit = -0.644 Date_of_death = Oct2012 Loess Fit = -0.644 Date_of_death = Aug2012 Loess Fit = -0.666 Date_of_death = Aug2012 Loess Fit = -0.666 Date_of_death = Jul2012 Loess Fit = -0.636 Date_of_death = Jul2012 Loess Fit = -0.636 Date_of_death = Jun2012 Loess Fit = -0.605 Date_of_death = Jun2012 Loess Fit = -0.605 Date_of_death = May2012 Loess Fit = -0.574 Date_of_death = May2012 Loess Fit = -0.574 Date_of_death = Apr2012 Loess Fit = -0.543 Date_of_death = Apr2012 Loess Fit = -0.543 Date_of_death = Mar2012 Loess Fit = -0.513 Date_of_death = Mar2012 Loess Fit = -0.513 Date_of_death = Feb2012 Loess Fit = -0.482 Date_of_death = Feb2012 Loess Fit = -0.482 Date_of_death = Jan2012 Loess Fit = -0.449 Date_of_death = Jan2012 Loess Fit = -0.449 Date_of_death = Dec2011 Loess Fit = -0.415 Date_of_death = Dec2011 Loess Fit = -0.415 Date_of_death = Oct2011 Loess Fit = -0.38 Date_of_death = Oct2011 Loess Fit = -0.38 Date_of_death = Sep2011 Loess Fit = -0.346 Date_of_death = Sep2011 Loess Fit = -0.346 Date_of_death = Aug2011 Loess Fit = -0.312 Date_of_death = Aug2011 Loess Fit = -0.312 Date_of_death = Jul2011 Loess Fit = -0.278 Date_of_death = Jul2011 Loess Fit = -0.278 Date_of_death = Jun2011 Loess Fit = -0.238 Date_of_death = Jun2011 Loess Fit = -0.238 Date_of_death = May2011 Loess Fit = -0.189 Date_of_death = May2011 Loess Fit = -0.189 Date_of_death = Apr2011 Loess Fit = -0.141 Date_of_death = Apr2011 Loess Fit = -0.141 Date_of_death = Mar2011 Loess Fit = -0.093 Date_of_death = Mar2011 Loess Fit = -0.093 Date_of_death = Jan2011 Loess Fit = -0.044 Date_of_death = Jan2011 Loess Fit = -0.044 Date_of_death = Dec2010 Loess Fit = 0.0042 Date_of_death = Dec2010 Loess Fit = 0.0042 Date_of_death = Nov2010 Loess Fit = 0.0468 Date_of_death = Nov2010 Loess Fit = 0.0468 Date_of_death = Oct2010 Loess Fit = 0.0707 Date_of_death = Oct2010 Loess Fit = 0.0707 Date_of_death = Sep2010 Loess Fit = 0.0945 Date_of_death = Sep2010 Loess Fit = 0.0945 Date_of_death = Aug2010 Loess Fit = 0.1183 Date_of_death = Aug2010 Loess Fit = 0.1183 Date_of_death = Jul2010 Loess Fit = 0.1421 Date_of_death = Jul2010 Loess Fit = 0.1421 Date_of_death = Jun2010 Loess Fit = 0.166 Date_of_death = Jun2010 Loess Fit = 0.166 Date_of_death = May2010 Loess Fit = 0.1898 Date_of_death = May2010 Loess Fit = 0.1898 Date_of_death = Mar2010 Loess Fit = 0.2166 Date_of_death = Mar2010 Loess Fit = 0.2166 Date_of_death = Feb2010 Loess Fit = 0.2435 Date_of_death = Feb2010 Loess Fit = 0.2435 Date_of_death = Jan2010 Loess Fit = 0.2704 Date_of_death = Jan2010 Loess Fit = 0.2704 Date_of_death = Dec2009 Loess Fit = 0.2974 Date_of_death = Dec2009 Loess Fit = 0.2974 Date_of_death = Nov2009 Loess Fit = 0.3243 Date_of_death = Nov2009 Loess Fit = 0.3243 Date_of_death = Oct2009 Loess Fit = 0.3512 Date_of_death = Oct2009 Loess Fit = 0.3512 Date_of_death = Sep2009 Loess Fit = 0.3542 Date_of_death = Sep2009 Loess Fit = 0.3542 Date_of_death = Aug2009 Loess Fit = 0.3486 Date_of_death = Aug2009 Loess Fit = 0.3486 Date_of_death = Jun2009 Loess Fit = 0.343 Date_of_death = Jun2009 Loess Fit = 0.343 Date_of_death = May2009 Loess Fit = 0.3374 Date_of_death = May2009 Loess Fit = 0.3374 Date_of_death = Apr2009 Loess Fit = 0.3318 Date_of_death = Apr2009 Loess Fit = 0.3318 Date_of_death = Mar2009 Loess Fit = 0.3262 Date_of_death = Mar2009 Loess Fit = 0.3262 Date_of_death = Feb2009 Loess Fit = 0.3041 Date_of_death = Feb2009 Loess Fit = 0.3041 Date_of_death = Jan2009 Loess Fit = 0.2625 Date_of_death = Jan2009 Loess Fit = 0.2625 Date_of_death = Dec2008 Loess Fit = 0.2209 Date_of_death = Dec2008 Loess Fit = 0.2209 Date_of_death = Nov2008 Loess Fit = 0.1794 Date_of_death = Nov2008 Loess Fit = 0.1794 Date_of_death = Sep2008 Loess Fit = 0.1378 Date_of_death = Sep2008 Loess Fit = 0.1378 Date_of_death = Aug2008 Loess Fit = 0.0962 Date_of_death = Aug2008 Loess Fit = 0.0962 Date_of_death = Jul2008 Loess Fit = 0.0491 Date_of_death = Jul2008 Loess Fit = 0.0491 Date_of_death = Jun2008 Loess Fit = -0.016 Date_of_death = Jun2008 Loess Fit = -0.016 Date_of_death = May2008 Loess Fit = -0.08 Date_of_death = May2008 Loess Fit = -0.08 Date_of_death = Apr2008 Loess Fit = -0.145 Date_of_death = Apr2008 Loess Fit = -0.145 Date_of_death = Mar2008 Loess Fit = -0.21 Date_of_death = Mar2008 Loess Fit = -0.21 Date_of_death = Feb2008 Loess Fit = -0.275 Date_of_death = Feb2008 Loess Fit = -0.275 Date_of_death = Jan2008 Loess Fit = -0.339 Date_of_death = Jan2008 Loess Fit = -0.339 Date_of_death = Nov2007 Loess Fit = -0.342 Date_of_death = Nov2007 Loess Fit = -0.342 Date_of_death = Oct2007 Loess Fit = -0.344 Date_of_death = Oct2007 Loess Fit = -0.344 Date_of_death = Sep2007 Loess Fit = -0.346 Date_of_death = Sep2007 Loess Fit = -0.346 Date_of_death = Aug2007 Loess Fit = -0.347 Date_of_death = Aug2007 Loess Fit = -0.347 Date_of_death = Jul2007 Loess Fit = -0.349 Date_of_death = Jul2007 Loess Fit = -0.349 Date_of_death = Jun2007 Loess Fit = -0.351 Date_of_death = Jun2007 Loess Fit = -0.351 Date_of_death = May2007 Loess Fit = -0.309 Date_of_death = May2007 Loess Fit = -0.309 Date_of_death = Apr2007 Loess Fit = -0.249 Date_of_death = Apr2007 Loess Fit = -0.249 Date_of_death = Feb2007 Loess Fit = -0.188 Date_of_death = Feb2007 Loess Fit = -0.188 Date_of_death = Jan2007 Loess Fit = -0.128 Date_of_death = Jan2007 Loess Fit = -0.128 Date_of_death = Dec2006 Loess Fit = -0.068 Date_of_death = Dec2006 Loess Fit = -0.068 Date_of_death = Nov2006 Loess Fit = -0.008 Date_of_death = Nov2006 Loess Fit = -0.008 Date_of_death = Oct2006 Loess Fit = 0.0469 Date_of_death = Oct2006 Loess Fit = 0.0469 Date_of_death = Sep2006 Loess Fit = 0.0965 Date_of_death = Sep2006 Loess Fit = 0.0965 Date_of_death = Aug2006 Loess Fit = 0.1461 Date_of_death = Aug2006 Loess Fit = 0.1461 Date_of_death = Jul2006 Loess Fit = 0.1957 Date_of_death = Jul2006 Loess Fit = 0.1957 Date_of_death = May2006 Loess Fit = 0.2453 Date_of_death = May2006 Loess Fit = 0.2453 Date_of_death = Apr2006 Loess Fit = 0.2949 Date_of_death = Apr2006 Loess Fit = 0.2949 Date_of_death = Mar2006 Loess Fit = 0.3317 Date_of_death = Mar2006 Loess Fit = 0.3317 Date_of_death = Feb2006 Loess Fit = 0.3208 Date_of_death = Feb2006 Loess Fit = 0.3208 Date_of_death = Jan2006 Loess Fit = 0.3098 Date_of_death = Jan2006 Loess Fit = 0.3098 Date_of_death = Dec2005 Loess Fit = 0.2989 Date_of_death = Dec2005 Loess Fit = 0.2989 Date_of_death = Nov2005 Loess Fit = 0.288 Date_of_death = Nov2005 Loess Fit = 0.288 Date_of_death = Oct2005 Loess Fit = 0.2771 Date_of_death = Oct2005 Loess Fit = 0.2771 Date_of_death = Sep2005 Loess Fit = 0.2662 Date_of_death = Sep2005 Loess Fit = 0.2662 Date_of_death = Jul2005 Loess Fit = 0.187 Date_of_death = Jul2005 Loess Fit = 0.187 Date_of_death = Jun2005 Loess Fit = 0.1073 Date_of_death = Jun2005 Loess Fit = 0.1073 Date_of_death = May2005 Loess Fit = 0.0276 Date_of_death = May2005 Loess Fit = 0.0276 Date_of_death = Apr2005 Loess Fit = -0.052 Date_of_death = Apr2005 Loess Fit = -0.052 Date_of_death = Mar2005 Loess Fit = -0.132 Date_of_death = Mar2005 Loess Fit = -0.132 Date_of_death = Feb2005 Loess Fit = -0.212 Date_of_death = Feb2005 Loess Fit = -0.212 Date_of_death = Jan2005 Loess Fit = -0.293 Date_of_death = Jan2005 Loess Fit = -0.293 Date_of_death = Dec2004 Loess Fit = -0.375 Date_of_death = Dec2004 Loess Fit = -0.375 Date_of_death = Oct2004 Loess Fit = -0.457 Date_of_death = Oct2004 Loess Fit = -0.457 Date_of_death = Sep2004 Loess Fit = -0.539 Date_of_death = Sep2004 Loess Fit = -0.539 Date_of_death = Aug2004 Loess Fit = -0.621 Date_of_death = Aug2004 Loess Fit = -0.621 Date_of_death = Jul2004 Loess Fit = -0.703 Date_of_death = Jul2004 Loess Fit = -0.703 Date_of_death = Jun2004 Loess Fit = -0.761 Date_of_death = Jun2004 Loess Fit = -0.761 Date_of_death = May2004 Loess Fit = -0.791 Date_of_death = May2004 Loess Fit = -0.791 Date_of_death = Apr2004 Loess Fit = -0.822 Date_of_death = Apr2004 Loess Fit = -0.822 Date_of_death = Mar2004 Loess Fit = -0.853 Date_of_death = Mar2004 Loess Fit = -0.853 Date_of_death = Jan2004 Loess Fit = -0.883 Date_of_death = Jan2004 Loess Fit = -0.883 Date_of_death = Dec2003 Loess Fit = -0.914 Date_of_death = Dec2003 Loess Fit = -0.914 Date_of_death = Nov2003 Loess Fit = -0.929 Date_of_death = Nov2003 Loess Fit = -0.929 Date_of_death = Oct2003 Loess Fit = -0.886 Date_of_death = Oct2003 Loess Fit = -0.886 Date_of_death = Sep2003 Loess Fit = -0.844 Date_of_death = Sep2003 Loess Fit = -0.844 Date_of_death = Aug2003 Loess Fit = -0.801 Date_of_death = Aug2003 Loess Fit = -0.801 Date_of_death = Jul2003 Loess Fit = -0.759 Date_of_death = Jul2003 Loess Fit = -0.759 Date_of_death = Jun2003 Loess Fit = -0.716 Date_of_death = Jun2003 Loess Fit = -0.716 Date_of_death = May2003 Loess Fit = -0.674 Date_of_death = May2003 Loess Fit = -0.674 Date_of_death = Mar2003 Loess Fit = -0.58 Date_of_death = Mar2003 Loess Fit = -0.58 Date_of_death = Feb2003 Loess Fit = -0.483 Date_of_death = Feb2003 Loess Fit = -0.483 Date_of_death = Jan2003 Loess Fit = -0.386 Date_of_death = Jan2003 Loess Fit = -0.386 Date_of_death = Dec2002 Loess Fit = -0.289 Date_of_death = Dec2002 Loess Fit = -0.289 Date_of_death = Nov2002 Loess Fit = -0.192 Date_of_death = Nov2002 Loess Fit = -0.192 Date_of_death = Oct2002 Loess Fit = -0.096 Date_of_death = Oct2002 Loess Fit = -0.096 Date_of_death = Sep2002 Loess Fit = 0.0023 Date_of_death = Sep2002 Loess Fit = 0.0023 Date_of_death = Aug2002 Loess Fit = 0.1004 Date_of_death = Aug2002 Loess Fit = 0.1004 Date_of_death = Jun2002 Loess Fit = 0.1985 Date_of_death = Jun2002 Loess Fit = 0.1985 Date_of_death = May2002 Loess Fit = 0.2966 Date_of_death = May2002 Loess Fit = 0.2966 Date_of_death = Apr2002 Loess Fit = 0.3947 Date_of_death = Apr2002 Loess Fit = 0.3947 Date_of_death = Mar2002 Loess Fit = 0.4928 Date_of_death = Mar2002 Loess Fit = 0.4928 Date_of_death = Feb2002 Loess Fit = 0.5908 Date_of_death = Feb2002 Loess Fit = 0.5908 Date_of_death = Jan2002 Loess Fit = 0.6887 Date_of_death = Jan2002 Loess Fit = 0.6887 Date_of_death = Dec2001 Loess Fit = 0.7865 Date_of_death = Dec2001 Loess Fit = 0.7865 Date_of_death = Nov2001 Loess Fit = 0.8844 Date_of_death = Nov2001 Loess Fit = 0.8844 Date_of_death = Sep2001 Loess Fit = 0.9822 Date_of_death = Sep2001 Loess Fit = 0.9822 Date_of_death = Aug2001 Loess Fit = 1.0801 Date_of_death = Aug2001 Loess Fit = 1.0801 Date_of_death = Jul2001 Loess Fit = 1.1769 Date_of_death = Jul2001 Loess Fit = 1.1769 Date_of_death = Jun2001 Loess Fit = 1.2701 Date_of_death = Jun2001 Loess Fit = 1.2701 Date_of_death = May2001 Loess Fit = 1.3633 Date_of_death = May2001 Loess Fit = 1.3633 Date_of_death = Apr2001 Loess Fit = 1.4565 Date_of_death = Apr2001 Loess Fit = 1.4565 Date_of_death = Mar2001 Loess Fit = 1.5497 Date_of_death = Mar2001 Loess Fit = 1.5497 Date_of_death = Feb2001 Loess Fit = 1.6429 Date_of_death = Feb2001 Loess Fit = 1.6429 Date_of_death = Jan2001 Loess Fit = 1.7361 Date_of_death = Sep2019 Prediction Error = -1.715 Date_of_death = Aug2019 Prediction Error = 0.955 Date_of_death = Jul2019 Prediction Error = -0.481 Date_of_death = Jun2019 Prediction Error = 0.4757 Date_of_death = May2019 Prediction Error = -1.731 Date_of_death = Apr2019 Prediction Error = 3.3524 Date_of_death = Mar2019 Prediction Error = 2.4362 Date_of_death = Feb2019 Prediction Error = -0.972 Date_of_death = Jan2019 Prediction Error = -0.006 Date_of_death = Dec2018 Prediction Error = -0.91 Date_of_death = Nov2018 Prediction Error = 2.6517 Date_of_death = Oct2018 Prediction Error = 2.874 Date_of_death = Sep2018 Prediction Error = -1.575 Date_of_death = Aug2018 Prediction Error = -1.986 Date_of_death = Jul2018 Prediction Error = -0.264 Date_of_death = Jun2018 Prediction Error = -1.501 Date_of_death = May2018 Prediction Error = -1.799 Date_of_death = Apr2018 Prediction Error = -0.81 Date_of_death = Mar2018 Prediction Error = -2.004 Date_of_death = Feb2018 Prediction Error = -1.373 Date_of_death = Jan2018 Prediction Error = -1.485 Date_of_death = Dec2017 Prediction Error = -1.472 Date_of_death = Nov2017 Prediction Error = 2.4105 Date_of_death = Oct2017 Prediction Error = -1.976 Date_of_death = Sep2017 Prediction Error = 2.1867 Date_of_death = Aug2017 Prediction Error = 1.8403 Date_of_death = Jul2017 Prediction Error = 2.8129 Date_of_death = Jun2017 Prediction Error = -1.859 Date_of_death = May2017 Prediction Error = -0.982 Date_of_death = Apr2017 Prediction Error = -0.99 Date_of_death = Mar2017 Prediction Error = 2.3017 Date_of_death = Feb2017 Prediction Error = -0.29 Date_of_death = Jan2017 Prediction Error = -1.466 Date_of_death = Dec2016 Prediction Error = -1.493 Date_of_death = Nov2016 Prediction Error = 2.8624 Date_of_death = Oct2016 Prediction Error = 0.2151 Date_of_death = Sep2016 Prediction Error = 2.6537 Date_of_death = Aug2016 Prediction Error = -2.393 Date_of_death = Jul2016 Prediction Error = -0.228 Date_of_death = Jun2016 Prediction Error = 2.5121 Date_of_death = May2016 Prediction Error = -2.12 Date_of_death = Apr2016 Prediction Error = 3.6208 Date_of_death = Mar2016 Prediction Error = -0.654 Date_of_death = Feb2016 Prediction Error = 3.3644 Date_of_death = Jan2016 Prediction Error = -0.115 Date_of_death = Dec2015 Prediction Error = -1.247 Date_of_death = Nov2015 Prediction Error = -0.994 Date_of_death = Oct2015 Prediction Error = -1.852 Date_of_death = Sep2015 Prediction Error = -1.489 Date_of_death = Aug2015 Prediction Error = -2.692 Date_of_death = Jul2015 Prediction Error = -1.497 Date_of_death = Jun2015 Prediction Error = -1.963 Date_of_death = May2015 Prediction Error = -2.775 Date_of_death = Apr2015 Prediction Error = -1.026 Date_of_death = Mar2015 Prediction Error = 2.0169 Date_of_death = Feb2015 Prediction Error = -1.52 Date_of_death = Jan2015 Prediction Error = 2.5619 Date_of_death = Dec2014 Prediction Error = -2.099 Date_of_death = Nov2014 Prediction Error = -1.777 Date_of_death = Oct2014 Prediction Error = 1.8768 Date_of_death = Sep2014 Prediction Error = -1.048 Date_of_death = Aug2014 Prediction Error = 1.1599 Date_of_death = Jul2014 Prediction Error = 2.6689 Date_of_death = Jun2014 Prediction Error = 1.2036 Date_of_death = May2014 Prediction Error = 1.6343 Date_of_death = Apr2014 Prediction Error = 0.2703 Date_of_death = Mar2014 Prediction Error = 2.628 Date_of_death = Feb2014 Prediction Error = -1.36 Date_of_death = Jan2014 Prediction Error = -1.341 Date_of_death = Dec2013 Prediction Error = -0.908 Date_of_death = Nov2013 Prediction Error = -1.71 Date_of_death = Oct2013 Prediction Error = -2.248 Date_of_death = Sep2013 Prediction Error = -1.08 Date_of_death = Aug2013 Prediction Error = 1.3313 Date_of_death = Jul2013 Prediction Error = -1.668 Date_of_death = Jun2013 Prediction Error = 0.002 Date_of_death = May2013 Prediction Error = 1.5747 Date_of_death = Apr2013 Prediction Error = -0.012 Date_of_death = Mar2013 Prediction Error = 0.3419 Date_of_death = Feb2013 Prediction Error = -1.889 Date_of_death = Jan2013 Prediction Error = -1.867 Date_of_death = Dec2012 Prediction Error = -1.4 Date_of_death = Nov2012 Prediction Error = 2.365 Date_of_death = Oct2012 Prediction Error = 1.9087 Date_of_death = Sep2012 Prediction Error = -2.45 Date_of_death = Aug2012 Prediction Error = -2.062 Date_of_death = Jul2012 Prediction Error = -2.106 Date_of_death = Jun2012 Prediction Error = -0.286 Date_of_death = May2012 Prediction Error = -0.893 Date_of_death = Apr2012 Prediction Error = -1.626 Date_of_death = Mar2012 Prediction Error = -2.445 Date_of_death = Feb2012 Prediction Error = -1.558 Date_of_death = Jan2012 Prediction Error = -2.703 Date_of_death = Dec2011 Prediction Error = -2.267 Date_of_death = Nov2011 Prediction Error = 1.9073 Date_of_death = Oct2011 Prediction Error = 1.3642 Date_of_death = Sep2011 Prediction Error = 1.1427 Date_of_death = Aug2011 Prediction Error = 0.5947 Date_of_death = Jul2011 Prediction Error = -2.859 Date_of_death = Jun2011 Prediction Error = 1.5543 Date_of_death = May2011 Prediction Error = 0.9211 Date_of_death = Apr2011 Prediction Error = 2.566 Date_of_death = Mar2011 Prediction Error = 1.838 Date_of_death = Feb2011 Prediction Error = -2.791 Date_of_death = Jan2011 Prediction Error = 1.8054 Date_of_death = Dec2010 Prediction Error = -1.116 Date_of_death = Nov2010 Prediction Error = -1.026 Date_of_death = Oct2010 Prediction Error = -2.974 Date_of_death = Sep2010 Prediction Error = 1.3142 Date_of_death = Aug2010 Prediction Error = 0.6944 Date_of_death = Jul2010 Prediction Error = 1.4787 Date_of_death = Jun2010 Prediction Error = -1.592 Date_of_death = May2010 Prediction Error = 1.0908 Date_of_death = Apr2010 Prediction Error = 2.928 Date_of_death = Mar2010 Prediction Error = 0.9698 Date_of_death = Feb2010 Prediction Error = -3.158 Date_of_death = Jan2010 Prediction Error = 2.111 Date_of_death = Dec2009 Prediction Error = -3.632 Date_of_death = Nov2009 Prediction Error = -2.368 Date_of_death = Oct2009 Prediction Error = 1.2459 Date_of_death = Sep2009 Prediction Error = 1.5445 Date_of_death = Aug2009 Prediction Error = 0.8304 Date_of_death = Jul2009 Prediction Error = 1.7721 Date_of_death = Jun2009 Prediction Error = 1.819 Date_of_death = May2009 Prediction Error = 1.4479 Date_of_death = Apr2009 Prediction Error = -1.187 Date_of_death = Mar2009 Prediction Error = -1.166 Date_of_death = Feb2009 Prediction Error = 1.1161 Date_of_death = Jan2009 Prediction Error = 2.6148 Date_of_death = Dec2008 Prediction Error = 0.8349 Date_of_death = Nov2008 Prediction Error = 2.5045 Date_of_death = Oct2008 Prediction Error = 2.0792 Date_of_death = Sep2008 Prediction Error = 0.0692 Date_of_death = Aug2008 Prediction Error = 1.5888 Date_of_death = Jul2008 Prediction Error = -2.118 Date_of_death = Jun2008 Prediction Error = -2.216 Date_of_death = May2008 Prediction Error = -2.812 Date_of_death = Apr2008 Prediction Error = -1.235 Date_of_death = Mar2008 Prediction Error = 2.36 Date_of_death = Feb2008 Prediction Error = 1.497 Date_of_death = Jan2008 Prediction Error = -1.553 Date_of_death = Dec2007 Prediction Error = 1.0233 Date_of_death = Nov2007 Prediction Error = -1.92 Date_of_death = Oct2007 Prediction Error = -2.593 Date_of_death = Sep2007 Prediction Error = -2.745 Date_of_death = Aug2007 Prediction Error = -2.291 Date_of_death = Jul2007 Prediction Error = 1.7152 Date_of_death = Jun2007 Prediction Error = 1.7607 Date_of_death = May2007 Prediction Error = -1.186 Date_of_death = Apr2007 Prediction Error = -1.705 Date_of_death = Mar2007 Prediction Error = -2.399 Date_of_death = Feb2007 Prediction Error = 1.2597 Date_of_death = Jan2007 Prediction Error = -2.377 Date_of_death = Dec2006 Prediction Error = 0.6742 Date_of_death = Nov2006 Prediction Error = -2.86 Date_of_death = Oct2006 Prediction Error = 1.2888 Date_of_death = Sep2006 Prediction Error = 1.2624 Date_of_death = Aug2006 Prediction Error = 0.7222 Date_of_death = Jul2006 Prediction Error = 1.9088 Date_of_death = Jun2006 Prediction Error = 1.9747 Date_of_death = May2006 Prediction Error = 0.9597 Date_of_death = Apr2006 Prediction Error = 2.9459 Date_of_death = Mar2006 Prediction Error = 2.3039 Date_of_death = Feb2006 Prediction Error = -2.989 Date_of_death = Jan2006 Prediction Error = 2.4268 Date_of_death = Dec2005 Prediction Error = -3.733 Date_of_death = Nov2005 Prediction Error = 1.9287 Date_of_death = Oct2005 Prediction Error = 2.1015 Date_of_death = Sep2005 Prediction Error = 2.1031 Date_of_death = Aug2005 Prediction Error = -3.599 Date_of_death = Jul2005 Prediction Error = 2.7643 Date_of_death = Jun2005 Prediction Error = 2.8336 Date_of_death = May2005 Prediction Error = -3.465 Date_of_death = Apr2005 Prediction Error = 3.871 Date_of_death = Mar2005 Prediction Error = -0.701 Date_of_death = Feb2005 Prediction Error = -3.494 Date_of_death = Jan2005 Prediction Error = -1.908 Date_of_death = Dec2004 Prediction Error = 0.497 Date_of_death = Nov2004 Prediction Error = 2.5828 Date_of_death = Oct2004 Prediction Error = -2.459 Date_of_death = Sep2004 Prediction Error = -2.588 Date_of_death = Aug2004 Prediction Error = 0.4581 Date_of_death = Jul2004 Prediction Error = -0.525 Date_of_death = Jun2004 Prediction Error = -1.865 Date_of_death = May2004 Prediction Error = 0.417 Date_of_death = Apr2004 Prediction Error = -0.627 Date_of_death = Mar2004 Prediction Error = -2.662 Date_of_death = Feb2004 Prediction Error = 0.3076 Date_of_death = Jan2004 Prediction Error = -2.794 Date_of_death = Dec2003 Prediction Error = 0.2749 Date_of_death = Nov2003 Prediction Error = -2.5 Date_of_death = Oct2003 Prediction Error = -3.912 Date_of_death = Sep2003 Prediction Error = 1.4332 Date_of_death = Aug2003 Prediction Error = 0.1012 Date_of_death = Jul2003 Prediction Error = -2.626 Date_of_death = Jun2003 Prediction Error = -1.724 Date_of_death = May2003 Prediction Error = -0.036 Date_of_death = Apr2003 Prediction Error = -1.467 Date_of_death = Mar2003 Prediction Error = -4.245 Date_of_death = Feb2003 Prediction Error = -0.263 Date_of_death = Jan2003 Prediction Error = 1.0697 Date_of_death = Dec2002 Prediction Error = -0.166 Date_of_death = Nov2002 Prediction Error = 1.8447 Date_of_death = Oct2002 Prediction Error = -0.155 Date_of_death = Sep2002 Prediction Error = 1.8566 Date_of_death = Aug2002 Prediction Error = -0.163 Date_of_death = Jul2002 Prediction Error = -4.273 Date_of_death = Jun2002 Prediction Error = 1.7363 Date_of_death = May2002 Prediction Error = -0.265 Date_of_death = Apr2002 Prediction Error = 3.804 Date_of_death = Mar2002 Prediction Error = -0.215 Date_of_death = Feb2002 Prediction Error = -0.225 Date_of_death = Jan2002 Prediction Error = 1.7956 Date_of_death = Dec2001 Prediction Error = -0.145 Date_of_death = Nov2001 Prediction Error = 3.8935 Date_of_death = Oct2001 Prediction Error = -0.118 Date_of_death = Sep2001 Prediction Error = 3.9268 Date_of_death = Aug2001 Prediction Error = -0.086 Date_of_death = Jul2001 Prediction Error = -0.092 Date_of_death = Jun2001 Prediction Error = 3.9595 Date_of_death = May2001 Prediction Error = -0.047 Date_of_death = Apr2001 Prediction Error = -0.054 Date_of_death = Mar2001 Prediction Error = -0.061 Date_of_death = Feb2001 Prediction Error = -0.061 Date_of_death = Jan2001 Prediction Error = 4 Date_of_death = Sep2019 2*STD = 3.7868 -2*STD = -3.787 Date_of_death = Aug2019 2*STD = 3.7869 -2*STD = -3.787 Date_of_death = Aug2019 2*STD = 3.7869 -2*STD = -3.787 Date_of_death = Jul2019 2*STD = 3.7869 -2*STD = -3.787 Date_of_death = Jul2019 2*STD = 3.7869 -2*STD = -3.787 Date_of_death = Jun2019 2*STD = 3.7869 -2*STD = -3.787 Date_of_death = Jun2019 2*STD = 3.7869 -2*STD = -3.787 Date_of_death = May2019 2*STD = 3.787 -2*STD = -3.787 Date_of_death = May2019 2*STD = 3.787 -2*STD = -3.787 Date_of_death = Apr2019 2*STD = 3.787 -2*STD = -3.787 Date_of_death = Apr2019 2*STD = 3.787 -2*STD = -3.787 Date_of_death = Mar2019 2*STD = 3.7871 -2*STD = -3.787 Date_of_death = Mar2019 2*STD = 3.7871 -2*STD = -3.787 Date_of_death = Feb2019 2*STD = 3.7871 -2*STD = -3.787 Date_of_death = Feb2019 2*STD = 3.7871 -2*STD = -3.787 Date_of_death = Jan2019 2*STD = 3.7871 -2*STD = -3.787 Date_of_death = Jan2019 2*STD = 3.7871 -2*STD = -3.787 Date_of_death = Dec2018 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Dec2018 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Nov2018 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Nov2018 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Oct2018 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Oct2018 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Sep2018 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Sep2018 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Aug2018 2*STD = 3.7892 -2*STD = -3.789 Date_of_death = Aug2018 2*STD = 3.7892 -2*STD = -3.789 Date_of_death = Jul2018 2*STD = 3.7892 -2*STD = -3.789 Date_of_death = Jul2018 2*STD = 3.7892 -2*STD = -3.789 Date_of_death = Jun2018 2*STD = 3.7892 -2*STD = -3.789 Date_of_death = Jun2018 2*STD = 3.7892 -2*STD = -3.789 Date_of_death = May2018 2*STD = 3.7893 -2*STD = -3.789 Date_of_death = May2018 2*STD = 3.7893 -2*STD = -3.789 Date_of_death = Apr2018 2*STD = 3.7893 -2*STD = -3.789 Date_of_death = Apr2018 2*STD = 3.7893 -2*STD = -3.789 Date_of_death = Mar2018 2*STD = 3.7894 -2*STD = -3.789 Date_of_death = Mar2018 2*STD = 3.7894 -2*STD = -3.789 Date_of_death = Feb2018 2*STD = 3.7894 -2*STD = -3.789 Date_of_death = Feb2018 2*STD = 3.7894 -2*STD = -3.789 Date_of_death = Jan2018 2*STD = 3.7894 -2*STD = -3.789 Date_of_death = Jan2018 2*STD = 3.7894 -2*STD = -3.789 Date_of_death = Dec2017 2*STD = 3.7918 -2*STD = -3.792 Date_of_death = Dec2017 2*STD = 3.7918 -2*STD = -3.792 Date_of_death = Nov2017 2*STD = 3.7918 -2*STD = -3.792 Date_of_death = Nov2017 2*STD = 3.7918 -2*STD = -3.792 Date_of_death = Oct2017 2*STD = 3.7918 -2*STD = -3.792 Date_of_death = Oct2017 2*STD = 3.7918 -2*STD = -3.792 Date_of_death = Sep2017 2*STD = 3.7919 -2*STD = -3.792 Date_of_death = Sep2017 2*STD = 3.7919 -2*STD = -3.792 Date_of_death = Aug2017 2*STD = 3.7919 -2*STD = -3.792 Date_of_death = Aug2017 2*STD = 3.7919 -2*STD = -3.792 Date_of_death = Jul2017 2*STD = 3.7919 -2*STD = -3.792 Date_of_death = Jul2017 2*STD = 3.7919 -2*STD = -3.792 Date_of_death = Jun2017 2*STD = 3.792 -2*STD = -3.792 Date_of_death = Jun2017 2*STD = 3.792 -2*STD = -3.792 Date_of_death = May2017 2*STD = 3.792 -2*STD = -3.792 Date_of_death = May2017 2*STD = 3.792 -2*STD = -3.792 Date_of_death = Apr2017 2*STD = 3.7921 -2*STD = -3.792 Date_of_death = Apr2017 2*STD = 3.7921 -2*STD = -3.792 Date_of_death = Mar2017 2*STD = 3.7921 -2*STD = -3.792 Date_of_death = Mar2017 2*STD = 3.7921 -2*STD = -3.792 Date_of_death = Feb2017 2*STD = 3.7922 -2*STD = -3.792 Date_of_death = Feb2017 2*STD = 3.7922 -2*STD = -3.792 Date_of_death = Jan2017 2*STD = 3.7922 -2*STD = -3.792 Date_of_death = Jan2017 2*STD = 3.7922 -2*STD = -3.792 Date_of_death = Dec2016 2*STD = 3.795 -2*STD = -3.795 Date_of_death = Dec2016 2*STD = 3.795 -2*STD = -3.795 Date_of_death = Nov2016 2*STD = 3.7951 -2*STD = -3.795 Date_of_death = Nov2016 2*STD = 3.7951 -2*STD = -3.795 Date_of_death = Oct2016 2*STD = 3.7951 -2*STD = -3.795 Date_of_death = Oct2016 2*STD = 3.7951 -2*STD = -3.795 Date_of_death = Sep2016 2*STD = 3.7951 -2*STD = -3.795 Date_of_death = Sep2016 2*STD = 3.7951 -2*STD = -3.795 Date_of_death = Aug2016 2*STD = 3.7951 -2*STD = -3.795 Date_of_death = Aug2016 2*STD = 3.7951 -2*STD = -3.795 Date_of_death = Jul2016 2*STD = 3.7952 -2*STD = -3.795 Date_of_death = Jul2016 2*STD = 3.7952 -2*STD = -3.795 Date_of_death = Jun2016 2*STD = 3.7952 -2*STD = -3.795 Date_of_death = Jun2016 2*STD = 3.7952 -2*STD = -3.795 Date_of_death = May2016 2*STD = 3.7953 -2*STD = -3.795 Date_of_death = May2016 2*STD = 3.7953 -2*STD = -3.795 Date_of_death = Apr2016 2*STD = 3.7953 -2*STD = -3.795 Date_of_death = Apr2016 2*STD = 3.7953 -2*STD = -3.795 Date_of_death = Mar2016 2*STD = 3.7954 -2*STD = -3.795 Date_of_death = Mar2016 2*STD = 3.7954 -2*STD = -3.795 Date_of_death = Feb2016 2*STD = 3.7955 -2*STD = -3.795 Date_of_death = Feb2016 2*STD = 3.7955 -2*STD = -3.795 Date_of_death = Jan2016 2*STD = 3.7955 -2*STD = -3.795 Date_of_death = Jan2016 2*STD = 3.7955 -2*STD = -3.795 Date_of_death = Dec2015 2*STD = 3.7989 -2*STD = -3.799 Date_of_death = Dec2015 2*STD = 3.7989 -2*STD = -3.799 Date_of_death = Nov2015 2*STD = 3.7989 -2*STD = -3.799 Date_of_death = Nov2015 2*STD = 3.7989 -2*STD = -3.799 Date_of_death = Oct2015 2*STD = 3.7989 -2*STD = -3.799 Date_of_death = Oct2015 2*STD = 3.7989 -2*STD = -3.799 Date_of_death = Sep2015 2*STD = 3.799 -2*STD = -3.799 Date_of_death = Sep2015 2*STD = 3.799 -2*STD = -3.799 Date_of_death = Aug2015 2*STD = 3.799 -2*STD = -3.799 Date_of_death = Aug2015 2*STD = 3.799 -2*STD = -3.799 Date_of_death = Jul2015 2*STD = 3.799 -2*STD = -3.799 Date_of_death = Jul2015 2*STD = 3.799 -2*STD = -3.799 Date_of_death = Jun2015 2*STD = 3.7991 -2*STD = -3.799 Date_of_death = Jun2015 2*STD = 3.7991 -2*STD = -3.799 Date_of_death = May2015 2*STD = 3.7992 -2*STD = -3.799 Date_of_death = May2015 2*STD = 3.7992 -2*STD = -3.799 Date_of_death = Apr2015 2*STD = 3.7992 -2*STD = -3.799 Date_of_death = Apr2015 2*STD = 3.7992 -2*STD = -3.799 Date_of_death = Mar2015 2*STD = 3.7993 -2*STD = -3.799 Date_of_death = Mar2015 2*STD = 3.7993 -2*STD = -3.799 Date_of_death = Feb2015 2*STD = 3.7994 -2*STD = -3.799 Date_of_death = Feb2015 2*STD = 3.7994 -2*STD = -3.799 Date_of_death = Jan2015 2*STD = 3.7994 -2*STD = -3.799 Date_of_death = Jan2015 2*STD = 3.7994 -2*STD = -3.799 Date_of_death = Dec2014 2*STD = 3.8036 -2*STD = -3.804 Date_of_death = Dec2014 2*STD = 3.8036 -2*STD = -3.804 Date_of_death = Nov2014 2*STD = 3.8036 -2*STD = -3.804 Date_of_death = Nov2014 2*STD = 3.8036 -2*STD = -3.804 Date_of_death = Oct2014 2*STD = 3.8036 -2*STD = -3.804 Date_of_death = Oct2014 2*STD = 3.8036 -2*STD = -3.804 Date_of_death = Sep2014 2*STD = 3.8036 -2*STD = -3.804 Date_of_death = Sep2014 2*STD = 3.8036 -2*STD = -3.804 Date_of_death = Aug2014 2*STD = 3.8037 -2*STD = -3.804 Date_of_death = Aug2014 2*STD = 3.8037 -2*STD = -3.804 Date_of_death = Jul2014 2*STD = 3.8037 -2*STD = -3.804 Date_of_death = Jul2014 2*STD = 3.8037 -2*STD = -3.804 Date_of_death = Jun2014 2*STD = 3.8038 -2*STD = -3.804 Date_of_death = Jun2014 2*STD = 3.8038 -2*STD = -3.804 Date_of_death = May2014 2*STD = 3.8039 -2*STD = -3.804 Date_of_death = May2014 2*STD = 3.8039 -2*STD = -3.804 Date_of_death = Apr2014 2*STD = 3.804 -2*STD = -3.804 Date_of_death = Apr2014 2*STD = 3.804 -2*STD = -3.804 Date_of_death = Mar2014 2*STD = 3.8041 -2*STD = -3.804 Date_of_death = Mar2014 2*STD = 3.8041 -2*STD = -3.804 Date_of_death = Feb2014 2*STD = 3.8042 -2*STD = -3.804 Date_of_death = Feb2014 2*STD = 3.8042 -2*STD = -3.804 Date_of_death = Jan2014 2*STD = 3.8042 -2*STD = -3.804 Date_of_death = Jan2014 2*STD = 3.8042 -2*STD = -3.804 Date_of_death = Dec2013 2*STD = 3.8093 -2*STD = -3.809 Date_of_death = Dec2013 2*STD = 3.8093 -2*STD = -3.809 Date_of_death = Nov2013 2*STD = 3.8093 -2*STD = -3.809 Date_of_death = Nov2013 2*STD = 3.8093 -2*STD = -3.809 Date_of_death = Oct2013 2*STD = 3.8093 -2*STD = -3.809 Date_of_death = Oct2013 2*STD = 3.8093 -2*STD = -3.809 Date_of_death = Sep2013 2*STD = 3.8093 -2*STD = -3.809 Date_of_death = Sep2013 2*STD = 3.8093 -2*STD = -3.809 Date_of_death = Aug2013 2*STD = 3.8094 -2*STD = -3.809 Date_of_death = Aug2013 2*STD = 3.8094 -2*STD = -3.809 Date_of_death = Jul2013 2*STD = 3.8094 -2*STD = -3.809 Date_of_death = Jul2013 2*STD = 3.8094 -2*STD = -3.809 Date_of_death = Jun2013 2*STD = 3.8095 -2*STD = -3.81 Date_of_death = Jun2013 2*STD = 3.8095 -2*STD = -3.81 Date_of_death = May2013 2*STD = 3.8096 -2*STD = -3.81 Date_of_death = May2013 2*STD = 3.8096 -2*STD = -3.81 Date_of_death = Apr2013 2*STD = 3.8097 -2*STD = -3.81 Date_of_death = Apr2013 2*STD = 3.8097 -2*STD = -3.81 Date_of_death = Mar2013 2*STD = 3.8098 -2*STD = -3.81 Date_of_death = Mar2013 2*STD = 3.8098 -2*STD = -3.81 Date_of_death = Feb2013 2*STD = 3.81 -2*STD = -3.81 Date_of_death = Feb2013 2*STD = 3.81 -2*STD = -3.81 Date_of_death = Jan2013 2*STD = 3.81 -2*STD = -3.81 Date_of_death = Jan2013 2*STD = 3.81 -2*STD = -3.81 Date_of_death = Dec2012 2*STD = 3.8162 -2*STD = -3.816 Date_of_death = Dec2012 2*STD = 3.8162 -2*STD = -3.816 Date_of_death = Nov2012 2*STD = 3.8162 -2*STD = -3.816 Date_of_death = Nov2012 2*STD = 3.8162 -2*STD = -3.816 Date_of_death = Oct2012 2*STD = 3.8163 -2*STD = -3.816 Date_of_death = Oct2012 2*STD = 3.8163 -2*STD = -3.816 Date_of_death = Sep2012 2*STD = 3.8163 -2*STD = -3.816 Date_of_death = Sep2012 2*STD = 3.8163 -2*STD = -3.816 Date_of_death = Aug2012 2*STD = 3.8164 -2*STD = -3.816 Date_of_death = Aug2012 2*STD = 3.8164 -2*STD = -3.816 Date_of_death = Jul2012 2*STD = 3.8164 -2*STD = -3.816 Date_of_death = Jul2012 2*STD = 3.8164 -2*STD = -3.816 Date_of_death = Jun2012 2*STD = 3.8165 -2*STD = -3.817 Date_of_death = Jun2012 2*STD = 3.8165 -2*STD = -3.817 Date_of_death = May2012 2*STD = 3.8166 -2*STD = -3.817 Date_of_death = May2012 2*STD = 3.8166 -2*STD = -3.817 Date_of_death = Apr2012 2*STD = 3.8167 -2*STD = -3.817 Date_of_death = Apr2012 2*STD = 3.8167 -2*STD = -3.817 Date_of_death = Mar2012 2*STD = 3.8169 -2*STD = -3.817 Date_of_death = Mar2012 2*STD = 3.8169 -2*STD = -3.817 Date_of_death = Feb2012 2*STD = 3.817 -2*STD = -3.817 Date_of_death = Feb2012 2*STD = 3.817 -2*STD = -3.817 Date_of_death = Jan2012 2*STD = 3.8171 -2*STD = -3.817 Date_of_death = Jan2012 2*STD = 3.8171 -2*STD = -3.817 Date_of_death = Dec2011 2*STD = 3.8249 -2*STD = -3.825 Date_of_death = Dec2011 2*STD = 3.8249 -2*STD = -3.825 Date_of_death = Nov2011 2*STD = 3.8249 -2*STD = -3.825 Date_of_death = Nov2011 2*STD = 3.8249 -2*STD = -3.825 Date_of_death = Oct2011 2*STD = 3.8249 -2*STD = -3.825 Date_of_death = Oct2011 2*STD = 3.8249 -2*STD = -3.825 Date_of_death = Sep2011 2*STD = 3.825 -2*STD = -3.825 Date_of_death = Sep2011 2*STD = 3.825 -2*STD = -3.825 Date_of_death = Aug2011 2*STD = 3.825 -2*STD = -3.825 Date_of_death = Aug2011 2*STD = 3.825 -2*STD = -3.825 Date_of_death = Jul2011 2*STD = 3.8251 -2*STD = -3.825 Date_of_death = Jul2011 2*STD = 3.8251 -2*STD = -3.825 Date_of_death = Jun2011 2*STD = 3.8252 -2*STD = -3.825 Date_of_death = Jun2011 2*STD = 3.8252 -2*STD = -3.825 Date_of_death = May2011 2*STD = 3.8253 -2*STD = -3.825 Date_of_death = May2011 2*STD = 3.8253 -2*STD = -3.825 Date_of_death = Apr2011 2*STD = 3.8254 -2*STD = -3.825 Date_of_death = Apr2011 2*STD = 3.8254 -2*STD = -3.825 Date_of_death = Mar2011 2*STD = 3.8256 -2*STD = -3.826 Date_of_death = Mar2011 2*STD = 3.8256 -2*STD = -3.826 Date_of_death = Feb2011 2*STD = 3.8258 -2*STD = -3.826 Date_of_death = Feb2011 2*STD = 3.8258 -2*STD = -3.826 Date_of_death = Jan2011 2*STD = 3.8259 -2*STD = -3.826 Date_of_death = Jan2011 2*STD = 3.8259 -2*STD = -3.826 Date_of_death = Dec2010 2*STD = 3.8357 -2*STD = -3.836 Date_of_death = Dec2010 2*STD = 3.8357 -2*STD = -3.836 Date_of_death = Nov2010 2*STD = 3.8357 -2*STD = -3.836 Date_of_death = Nov2010 2*STD = 3.8357 -2*STD = -3.836 Date_of_death = Oct2010 2*STD = 3.8357 -2*STD = -3.836 Date_of_death = Oct2010 2*STD = 3.8357 -2*STD = -3.836 Date_of_death = Sep2010 2*STD = 3.8358 -2*STD = -3.836 Date_of_death = Sep2010 2*STD = 3.8358 -2*STD = -3.836 Date_of_death = Aug2010 2*STD = 3.8359 -2*STD = -3.836 Date_of_death = Aug2010 2*STD = 3.8359 -2*STD = -3.836 Date_of_death = Jul2010 2*STD = 3.836 -2*STD = -3.836 Date_of_death = Jul2010 2*STD = 3.836 -2*STD = -3.836 Date_of_death = Jun2010 2*STD = 3.8361 -2*STD = -3.836 Date_of_death = Jun2010 2*STD = 3.8361 -2*STD = -3.836 Date_of_death = May2010 2*STD = 3.8362 -2*STD = -3.836 Date_of_death = May2010 2*STD = 3.8362 -2*STD = -3.836 Date_of_death = Apr2010 2*STD = 3.8364 -2*STD = -3.836 Date_of_death = Apr2010 2*STD = 3.8364 -2*STD = -3.836 Date_of_death = Mar2010 2*STD = 3.8366 -2*STD = -3.837 Date_of_death = Mar2010 2*STD = 3.8366 -2*STD = -3.837 Date_of_death = Feb2010 2*STD = 3.8368 -2*STD = -3.837 Date_of_death = Feb2010 2*STD = 3.8368 -2*STD = -3.837 Date_of_death = Jan2010 2*STD = 3.8369 -2*STD = -3.837 Date_of_death = Jan2010 2*STD = 3.8369 -2*STD = -3.837 Date_of_death = Dec2009 2*STD = 3.8495 -2*STD = -3.849 Date_of_death = Dec2009 2*STD = 3.8495 -2*STD = -3.849 Date_of_death = Nov2009 2*STD = 3.8495 -2*STD = -3.849 Date_of_death = Nov2009 2*STD = 3.8495 -2*STD = -3.849 Date_of_death = Oct2009 2*STD = 3.8495 -2*STD = -3.85 Date_of_death = Oct2009 2*STD = 3.8495 -2*STD = -3.85 Date_of_death = Sep2009 2*STD = 3.8496 -2*STD = -3.85 Date_of_death = Sep2009 2*STD = 3.8496 -2*STD = -3.85 Date_of_death = Aug2009 2*STD = 3.8497 -2*STD = -3.85 Date_of_death = Aug2009 2*STD = 3.8497 -2*STD = -3.85 Date_of_death = Jul2009 2*STD = 3.8498 -2*STD = -3.85 Date_of_death = Jul2009 2*STD = 3.8498 -2*STD = -3.85 Date_of_death = Jun2009 2*STD = 3.8499 -2*STD = -3.85 Date_of_death = Jun2009 2*STD = 3.8499 -2*STD = -3.85 Date_of_death = May2009 2*STD = 3.8501 -2*STD = -3.85 Date_of_death = May2009 2*STD = 3.8501 -2*STD = -3.85 Date_of_death = Apr2009 2*STD = 3.8503 -2*STD = -3.85 Date_of_death = Apr2009 2*STD = 3.8503 -2*STD = -3.85 Date_of_death = Mar2009 2*STD = 3.8506 -2*STD = -3.851 Date_of_death = Mar2009 2*STD = 3.8506 -2*STD = -3.851 Date_of_death = Feb2009 2*STD = 3.8509 -2*STD = -3.851 Date_of_death = Feb2009 2*STD = 3.8509 -2*STD = -3.851 Date_of_death = Jan2009 2*STD = 3.851 -2*STD = -3.851 Date_of_death = Jan2009 2*STD = 3.851 -2*STD = -3.851 Date_of_death = Dec2008 2*STD = 3.8674 -2*STD = -3.867 Date_of_death = Dec2008 2*STD = 3.8674 -2*STD = -3.867 Date_of_death = Nov2008 2*STD = 3.8674 -2*STD = -3.867 Date_of_death = Nov2008 2*STD = 3.8674 -2*STD = -3.867 Date_of_death = Oct2008 2*STD = 3.8674 -2*STD = -3.867 Date_of_death = Oct2008 2*STD = 3.8674 -2*STD = -3.867 Date_of_death = Sep2008 2*STD = 3.8675 -2*STD = -3.868 Date_of_death = Sep2008 2*STD = 3.8675 -2*STD = -3.868 Date_of_death = Aug2008 2*STD = 3.8676 -2*STD = -3.868 Date_of_death = Aug2008 2*STD = 3.8676 -2*STD = -3.868 Date_of_death = Jul2008 2*STD = 3.8678 -2*STD = -3.868 Date_of_death = Jul2008 2*STD = 3.8678 -2*STD = -3.868 Date_of_death = Jun2008 2*STD = 3.8679 -2*STD = -3.868 Date_of_death = Jun2008 2*STD = 3.8679 -2*STD = -3.868 Date_of_death = May2008 2*STD = 3.8681 -2*STD = -3.868 Date_of_death = May2008 2*STD = 3.8681 -2*STD = -3.868 Date_of_death = Apr2008 2*STD = 3.8684 -2*STD = -3.868 Date_of_death = Apr2008 2*STD = 3.8684 -2*STD = -3.868 Date_of_death = Mar2008 2*STD = 3.8687 -2*STD = -3.869 Date_of_death = Mar2008 2*STD = 3.8687 -2*STD = -3.869 Date_of_death = Feb2008 2*STD = 3.869 -2*STD = -3.869 Date_of_death = Feb2008 2*STD = 3.869 -2*STD = -3.869 Date_of_death = Jan2008 2*STD = 3.8692 -2*STD = -3.869 Date_of_death = Jan2008 2*STD = 3.8692 -2*STD = -3.869 Date_of_death = Dec2007 2*STD = 3.8911 -2*STD = -3.891 Date_of_death = Dec2007 2*STD = 3.8911 -2*STD = -3.891 Date_of_death = Nov2007 2*STD = 3.8911 -2*STD = -3.891 Date_of_death = Nov2007 2*STD = 3.8911 -2*STD = -3.891 Date_of_death = Oct2007 2*STD = 3.8912 -2*STD = -3.891 Date_of_death = Oct2007 2*STD = 3.8912 -2*STD = -3.891 Date_of_death = Sep2007 2*STD = 3.8913 -2*STD = -3.891 Date_of_death = Sep2007 2*STD = 3.8913 -2*STD = -3.891 Date_of_death = Aug2007 2*STD = 3.8914 -2*STD = -3.891 Date_of_death = Aug2007 2*STD = 3.8914 -2*STD = -3.891 Date_of_death = Jul2007 2*STD = 3.8916 -2*STD = -3.892 Date_of_death = Jul2007 2*STD = 3.8916 -2*STD = -3.892 Date_of_death = Jun2007 2*STD = 3.8918 -2*STD = -3.892 Date_of_death = Jun2007 2*STD = 3.8918 -2*STD = -3.892 Date_of_death = May2007 2*STD = 3.8921 -2*STD = -3.892 Date_of_death = May2007 2*STD = 3.8921 -2*STD = -3.892 Date_of_death = Apr2007 2*STD = 3.8924 -2*STD = -3.892 Date_of_death = Apr2007 2*STD = 3.8924 -2*STD = -3.892 Date_of_death = Mar2007 2*STD = 3.8927 -2*STD = -3.893 Date_of_death = Mar2007 2*STD = 3.8927 -2*STD = -3.893 Date_of_death = Feb2007 2*STD = 3.8932 -2*STD = -3.893 Date_of_death = Feb2007 2*STD = 3.8932 -2*STD = -3.893 Date_of_death = Jan2007 2*STD = 3.8934 -2*STD = -3.893 Date_of_death = Jan2007 2*STD = 3.8934 -2*STD = -3.893 Date_of_death = Dec2006 2*STD = 3.9236 -2*STD = -3.924 Date_of_death = Dec2006 2*STD = 3.9236 -2*STD = -3.924 Date_of_death = Nov2006 2*STD = 3.9236 -2*STD = -3.924 Date_of_death = Nov2006 2*STD = 3.9236 -2*STD = -3.924 Date_of_death = Oct2006 2*STD = 3.9237 -2*STD = -3.924 Date_of_death = Oct2006 2*STD = 3.9237 -2*STD = -3.924 Date_of_death = Sep2006 2*STD = 3.9239 -2*STD = -3.924 Date_of_death = Sep2006 2*STD = 3.9239 -2*STD = -3.924 Date_of_death = Aug2006 2*STD = 3.924 -2*STD = -3.924 Date_of_death = Aug2006 2*STD = 3.924 -2*STD = -3.924 Date_of_death = Jul2006 2*STD = 3.9242 -2*STD = -3.924 Date_of_death = Jul2006 2*STD = 3.9242 -2*STD = -3.924 Date_of_death = Jun2006 2*STD = 3.9245 -2*STD = -3.924 Date_of_death = Jun2006 2*STD = 3.9245 -2*STD = -3.924 Date_of_death = May2006 2*STD = 3.9248 -2*STD = -3.925 Date_of_death = May2006 2*STD = 3.9248 -2*STD = -3.925 Date_of_death = Apr2006 2*STD = 3.9252 -2*STD = -3.925 Date_of_death = Apr2006 2*STD = 3.9252 -2*STD = -3.925 Date_of_death = Mar2006 2*STD = 3.9256 -2*STD = -3.926 Date_of_death = Mar2006 2*STD = 3.9256 -2*STD = -3.926 Date_of_death = Feb2006 2*STD = 3.9261 -2*STD = -3.926 Date_of_death = Feb2006 2*STD = 3.9261 -2*STD = -3.926 Date_of_death = Jan2006 2*STD = 3.9265 -2*STD = -3.926 Date_of_death = Jan2006 2*STD = 3.9265 -2*STD = -3.926 Date_of_death = Dec2005 2*STD = 3.9701 -2*STD = -3.97 Date_of_death = Dec2005 2*STD = 3.9701 -2*STD = -3.97 Date_of_death = Nov2005 2*STD = 3.9701 -2*STD = -3.97 Date_of_death = Nov2005 2*STD = 3.9701 -2*STD = -3.97 Date_of_death = Oct2005 2*STD = 3.9702 -2*STD = -3.97 Date_of_death = Oct2005 2*STD = 3.9702 -2*STD = -3.97 Date_of_death = Sep2005 2*STD = 3.9704 -2*STD = -3.97 Date_of_death = Sep2005 2*STD = 3.9704 -2*STD = -3.97 Date_of_death = Aug2005 2*STD = 3.9706 -2*STD = -3.971 Date_of_death = Aug2005 2*STD = 3.9706 -2*STD = -3.971 Date_of_death = Jul2005 2*STD = 3.9708 -2*STD = -3.971 Date_of_death = Jul2005 2*STD = 3.9708 -2*STD = -3.971 Date_of_death = Jun2005 2*STD = 3.9711 -2*STD = -3.971 Date_of_death = Jun2005 2*STD = 3.9711 -2*STD = -3.971 Date_of_death = May2005 2*STD = 3.9715 -2*STD = -3.971 Date_of_death = May2005 2*STD = 3.9715 -2*STD = -3.971 Date_of_death = Apr2005 2*STD = 3.9719 -2*STD = -3.972 Date_of_death = Apr2005 2*STD = 3.9719 -2*STD = -3.972 Date_of_death = Mar2005 2*STD = 3.9725 -2*STD = -3.972 Date_of_death = Mar2005 2*STD = 3.9725 -2*STD = -3.972 Date_of_death = Feb2005 2*STD = 3.9731 -2*STD = -3.973 Date_of_death = Feb2005 2*STD = 3.9731 -2*STD = -3.973 Date_of_death = Jan2005 2*STD = 3.9736 -2*STD = -3.974 Date_of_death = Jan2005 2*STD = 3.9736 -2*STD = -3.974 Date_of_death = Dec2004 2*STD = 4.0407 -2*STD = -4.041 Date_of_death = Dec2004 2*STD = 4.0407 -2*STD = -4.041 Date_of_death = Nov2004 2*STD = 4.0408 -2*STD = -4.041 Date_of_death = Nov2004 2*STD = 4.0408 -2*STD = -4.041 Date_of_death = Oct2004 2*STD = 4.0409 -2*STD = -4.041 Date_of_death = Oct2004 2*STD = 4.0409 -2*STD = -4.041 Date_of_death = Sep2004 2*STD = 4.0411 -2*STD = -4.041 Date_of_death = Sep2004 2*STD = 4.0411 -2*STD = -4.041 Date_of_death = Aug2004 2*STD = 4.0413 -2*STD = -4.041 Date_of_death = Aug2004 2*STD = 4.0413 -2*STD = -4.041 Date_of_death = Jul2004 2*STD = 4.0415 -2*STD = -4.042 Date_of_death = Jul2004 2*STD = 4.0415 -2*STD = -4.042 Date_of_death = Jun2004 2*STD = 4.0419 -2*STD = -4.042 Date_of_death = Jun2004 2*STD = 4.0419 -2*STD = -4.042 Date_of_death = May2004 2*STD = 4.0423 -2*STD = -4.042 Date_of_death = May2004 2*STD = 4.0423 -2*STD = -4.042 Date_of_death = Apr2004 2*STD = 4.0428 -2*STD = -4.043 Date_of_death = Apr2004 2*STD = 4.0428 -2*STD = -4.043 Date_of_death = Mar2004 2*STD = 4.0435 -2*STD = -4.043 Date_of_death = Mar2004 2*STD = 4.0435 -2*STD = -4.043 Date_of_death = Feb2004 2*STD = 4.0442 -2*STD = -4.044 Date_of_death = Feb2004 2*STD = 4.0442 -2*STD = -4.044 Date_of_death = Jan2004 2*STD = 4.0449 -2*STD = -4.045 Date_of_death = Jan2004 2*STD = 4.0449 -2*STD = -4.045 Date_of_death = Dec2003 2*STD = 4.1589 -2*STD = -4.159 Date_of_death = Dec2003 2*STD = 4.1589 -2*STD = -4.159 Date_of_death = Nov2003 2*STD = 4.1589 -2*STD = -4.159 Date_of_death = Nov2003 2*STD = 4.1589 -2*STD = -4.159 Date_of_death = Oct2003 2*STD = 4.159 -2*STD = -4.159 Date_of_death = Oct2003 2*STD = 4.159 -2*STD = -4.159 Date_of_death = Sep2003 2*STD = 4.1592 -2*STD = -4.159 Date_of_death = Sep2003 2*STD = 4.1592 -2*STD = -4.159 Date_of_death = Aug2003 2*STD = 4.1594 -2*STD = -4.159 Date_of_death = Aug2003 2*STD = 4.1594 -2*STD = -4.159 Date_of_death = Jul2003 2*STD = 4.1597 -2*STD = -4.16 Date_of_death = Jul2003 2*STD = 4.1597 -2*STD = -4.16 Date_of_death = Jun2003 2*STD = 4.16 -2*STD = -4.16 Date_of_death = Jun2003 2*STD = 4.16 -2*STD = -4.16 Date_of_death = May2003 2*STD = 4.1605 -2*STD = -4.16 Date_of_death = May2003 2*STD = 4.1605 -2*STD = -4.16 Date_of_death = Apr2003 2*STD = 4.161 -2*STD = -4.161 Date_of_death = Apr2003 2*STD = 4.161 -2*STD = -4.161 Date_of_death = Mar2003 2*STD = 4.1617 -2*STD = -4.162 Date_of_death = Mar2003 2*STD = 4.1617 -2*STD = -4.162 Date_of_death = Feb2003 2*STD = 4.1625 -2*STD = -4.163 Date_of_death = Feb2003 2*STD = 4.1625 -2*STD = -4.163 Date_of_death = Jan2003 2*STD = 4.1633 -2*STD = -4.163 Date_of_death = Jan2003 2*STD = 4.1633 -2*STD = -4.163 Date_of_death = Dec2002 2*STD = 4.3917 -2*STD = -4.392 Date_of_death = Dec2002 2*STD = 4.3917 -2*STD = -4.392 Date_of_death = Nov2002 2*STD = 4.3917 -2*STD = -4.392 Date_of_death = Nov2002 2*STD = 4.3917 -2*STD = -4.392 Date_of_death = Oct2002 2*STD = 4.3918 -2*STD = -4.392 Date_of_death = Oct2002 2*STD = 4.3918 -2*STD = -4.392 Date_of_death = Sep2002 2*STD = 4.3919 -2*STD = -4.392 Date_of_death = Sep2002 2*STD = 4.3919 -2*STD = -4.392 Date_of_death = Aug2002 2*STD = 4.3921 -2*STD = -4.392 Date_of_death = Aug2002 2*STD = 4.3921 -2*STD = -4.392 Date_of_death = Jul2002 2*STD = 4.3923 -2*STD = -4.392 Date_of_death = Jul2002 2*STD = 4.3923 -2*STD = -4.392 Date_of_death = Jun2002 2*STD = 4.3926 -2*STD = -4.393 Date_of_death = Jun2002 2*STD = 4.3926 -2*STD = -4.393 Date_of_death = May2002 2*STD = 4.393 -2*STD = -4.393 Date_of_death = May2002 2*STD = 4.393 -2*STD = -4.393 Date_of_death = Apr2002 2*STD = 4.3935 -2*STD = -4.394 Date_of_death = Apr2002 2*STD = 4.3935 -2*STD = -4.394 Date_of_death = Mar2002 2*STD = 4.3941 -2*STD = -4.394 Date_of_death = Mar2002 2*STD = 4.3941 -2*STD = -4.394 Date_of_death = Feb2002 2*STD = 4.3949 -2*STD = -4.395 Date_of_death = Feb2002 2*STD = 4.3949 -2*STD = -4.395 Date_of_death = Jan2002 2*STD = 4.3956 -2*STD = -4.396 Date_of_death = Jan2002 2*STD = 4.3956 -2*STD = -4.396 Date_of_death = Dec2001 2*STD = 5.0424 -2*STD = -5.042 Date_of_death = Dec2001 2*STD = 5.0424 -2*STD = -5.042 Date_of_death = Nov2001 2*STD = 5.0424 -2*STD = -5.042 Date_of_death = Nov2001 2*STD = 5.0424 -2*STD = -5.042 Date_of_death = Oct2001 2*STD = 5.0424 -2*STD = -5.042 Date_of_death = Oct2001 2*STD = 5.0424 -2*STD = -5.042 Date_of_death = Sep2001 2*STD = 5.0424 -2*STD = -5.042 Date_of_death = Sep2001 2*STD = 5.0424 -2*STD = -5.042 Date_of_death = Aug2001 2*STD = 5.0425 -2*STD = -5.042 Date_of_death = Aug2001 2*STD = 5.0425 -2*STD = -5.042 Date_of_death = Jul2001 2*STD = 5.0426 -2*STD = -5.043 Date_of_death = Jul2001 2*STD = 5.0426 -2*STD = -5.043 Date_of_death = Jun2001 2*STD = 5.0428 -2*STD = -5.043 Date_of_death = Jun2001 2*STD = 5.0428 -2*STD = -5.043 Date_of_death = May2001 2*STD = 5.043 -2*STD = -5.043 Date_of_death = May2001 2*STD = 5.043 -2*STD = -5.043 Date_of_death = Apr2001 2*STD = 5.0434 -2*STD = -5.043 Date_of_death = Apr2001 2*STD = 5.0434 -2*STD = -5.043 Date_of_death = Mar2001 2*STD = 5.0439 -2*STD = -5.044 Date_of_death = Mar2001 2*STD = 5.0439 -2*STD = -5.044 Date_of_death = Feb2001 2*STD = 5.0444 -2*STD = -5.044 Date_of_death = Feb2001 2*STD = 5.0444 -2*STD = -5.044 Date_of_death = Jan2001 2*STD = 5.045 -2*STD = -5.045 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
238 OCT2019 2.688823 1.89341 -1.022193 6.399838
239 NOV2019 2.785220 1.89441 -0.927756 6.498196
240 DEC2019 1.899534 1.89661 -1.817759 5.616826
241 JAN2020 2.127988 1.89807 -1.592155 5.848130
242 FEB2020 1.954924 1.90033 -1.769651 5.679499
243 MAR2020 2.872513 1.90257 -0.856448 6.601475
244 APR2020 1.999811 1.90478 -1.733485 5.733107
245 MAY2020 2.457661 1.90697 -1.279927 6.195249
246 JUN2020 2.534700 1.90914 -1.207138 6.276537
247 JUL2020 2.367244 1.91127 -1.378782 6.113269
248 AUG2020 3.118175 1.91329 -0.631808 6.868159
249 SEP2020 2.488273 1.91419 -1.263462 6.240009

Forecasts Only Plot

Date_of_death = Sep2020 Forecast = 2.4883 Date_of_death = Aug2020 Forecast = 3.1182 Date_of_death = Aug2020 Forecast = 3.1182 Date_of_death = Jul2020 Forecast = 2.3672 Date_of_death = Jul2020 Forecast = 2.3672 Date_of_death = Jun2020 Forecast = 2.5347 Date_of_death = Jun2020 Forecast = 2.5347 Date_of_death = May2020 Forecast = 2.4577 Date_of_death = May2020 Forecast = 2.4577 Date_of_death = Apr2020 Forecast = 1.9998 Date_of_death = Apr2020 Forecast = 1.9998 Date_of_death = Mar2020 Forecast = 2.8725 Date_of_death = Mar2020 Forecast = 2.8725 Date_of_death = Feb2020 Forecast = 1.9549 Date_of_death = Feb2020 Forecast = 1.9549 Date_of_death = Jan2020 Forecast = 2.1280 Date_of_death = Jan2020 Forecast = 2.1280 Date_of_death = Dec2019 Forecast = 1.8995 Date_of_death = Dec2019 Forecast = 1.8995 Date_of_death = Nov2019 Forecast = 2.7852 Date_of_death = Nov2019 Forecast = 2.7852 Date_of_death = Oct2019 Forecast = 2.6888 Date_of_death = Sep2020 Upper 95% = 6.2400 Lower 95% = -1.2635 Date_of_death = Aug2020 Upper 95% = 6.8682 Lower 95% = -0.6318 Date_of_death = Aug2020 Upper 95% = 6.8682 Lower 95% = -0.6318 Date_of_death = Jul2020 Upper 95% = 6.1133 Lower 95% = -1.3788 Date_of_death = Jul2020 Upper 95% = 6.1133 Lower 95% = -1.3788 Date_of_death = Jun2020 Upper 95% = 6.2765 Lower 95% = -1.2071 Date_of_death = Jun2020 Upper 95% = 6.2765 Lower 95% = -1.2071 Date_of_death = May2020 Upper 95% = 6.1952 Lower 95% = -1.2799 Date_of_death = May2020 Upper 95% = 6.1952 Lower 95% = -1.2799 Date_of_death = Apr2020 Upper 95% = 5.7331 Lower 95% = -1.7335 Date_of_death = Apr2020 Upper 95% = 5.7331 Lower 95% = -1.7335 Date_of_death = Mar2020 Upper 95% = 6.6015 Lower 95% = -0.8564 Date_of_death = Mar2020 Upper 95% = 6.6015 Lower 95% = -0.8564 Date_of_death = Feb2020 Upper 95% = 5.6795 Lower 95% = -1.7697 Date_of_death = Feb2020 Upper 95% = 5.6795 Lower 95% = -1.7697 Date_of_death = Jan2020 Upper 95% = 5.8481 Lower 95% = -1.5922 Date_of_death = Jan2020 Upper 95% = 5.8481 Lower 95% = -1.5922 Date_of_death = Dec2019 Upper 95% = 5.6168 Lower 95% = -1.8178 Date_of_death = Dec2019 Upper 95% = 5.6168 Lower 95% = -1.8178 Date_of_death = Nov2019 Upper 95% = 6.4982 Lower 95% = -0.9278 Date_of_death = Nov2019 Upper 95% = 6.4982 Lower 95% = -0.9278 Date_of_death = Oct2019 Upper 95% = 6.3998 Lower 95% = -1.0222
Forecast Only Plot

Forecasts Plot

X = 21793 Date_of_death = Sep2020 Forecast = 2.4883 Date_of_death = Aug2020 Forecast = 3.1182 Date_of_death = Aug2020 Forecast = 3.1182 Date_of_death = Jul2020 Forecast = 2.3672 Date_of_death = Jul2020 Forecast = 2.3672 Date_of_death = Jun2020 Forecast = 2.5347 Date_of_death = Jun2020 Forecast = 2.5347 Date_of_death = May2020 Forecast = 2.4577 Date_of_death = May2020 Forecast = 2.4577 Date_of_death = Apr2020 Forecast = 1.9998 Date_of_death = Apr2020 Forecast = 1.9998 Date_of_death = Mar2020 Forecast = 2.8725 Date_of_death = Mar2020 Forecast = 2.8725 Date_of_death = Feb2020 Forecast = 1.9549 Date_of_death = Feb2020 Forecast = 1.9549 Date_of_death = Jan2020 Forecast = 2.1280 Date_of_death = Jan2020 Forecast = 2.1280 Date_of_death = Dec2019 Forecast = 1.8995 Date_of_death = Dec2019 Forecast = 1.8995 Date_of_death = Nov2019 Forecast = 2.7852 Date_of_death = Nov2019 Forecast = 2.7852 Date_of_death = Oct2019 Forecast = 2.6888 Date_of_death = Oct2019 Forecast = 2.6888 Date_of_death = Sep2019 Forecast = 2.7153 Date_of_death = Sep2019 Forecast = 2.7153 Date_of_death = Aug2019 Forecast = 3.0450 Date_of_death = Aug2019 Forecast = 3.0450 Date_of_death = Jul2019 Forecast = 2.4811 Date_of_death = Jul2019 Forecast = 2.4811 Date_of_death = Jun2019 Forecast = 2.5243 Date_of_death = Jun2019 Forecast = 2.5243 Date_of_death = May2019 Forecast = 2.7314 Date_of_death = May2019 Forecast = 2.7314 Date_of_death = Apr2019 Forecast = 1.6476 Date_of_death = Apr2019 Forecast = 1.6476 Date_of_death = Mar2019 Forecast = 2.5638 Date_of_death = Mar2019 Forecast = 2.5638 Date_of_death = Feb2019 Forecast = 1.9722 Date_of_death = Feb2019 Forecast = 1.9722 Date_of_death = Jan2019 Forecast = 2.0063 Date_of_death = Jan2019 Forecast = 2.0063 Date_of_death = Dec2018 Forecast = 1.9103 Date_of_death = Dec2018 Forecast = 1.9103 Date_of_death = Nov2018 Forecast = 2.3483 Date_of_death = Nov2018 Forecast = 2.3483 Date_of_death = Oct2018 Forecast = 2.1260 Date_of_death = Oct2018 Forecast = 2.1260 Date_of_death = Sep2018 Forecast = 2.5753 Date_of_death = Sep2018 Forecast = 2.5753 Date_of_death = Aug2018 Forecast = 2.9856 Date_of_death = Aug2018 Forecast = 2.9856 Date_of_death = Jul2018 Forecast = 2.2636 Date_of_death = Jul2018 Forecast = 2.2636 Date_of_death = Jun2018 Forecast = 2.5008 Date_of_death = Jun2018 Forecast = 2.5008 Date_of_death = May2018 Forecast = 2.7988 Date_of_death = May2018 Forecast = 2.7988 Date_of_death = Apr2018 Forecast = 1.8097 Date_of_death = Apr2018 Forecast = 1.8097 Date_of_death = Mar2018 Forecast = 3.0038 Date_of_death = Mar2018 Forecast = 3.0038 Date_of_death = Feb2018 Forecast = 2.3732 Date_of_death = Feb2018 Forecast = 2.3732 Date_of_death = Jan2018 Forecast = 2.4848 Date_of_death = Jan2018 Forecast = 2.4848 Date_of_death = Dec2017 Forecast = 2.4715 Date_of_death = Dec2017 Forecast = 2.4715 Date_of_death = Nov2017 Forecast = 2.5895 Date_of_death = Nov2017 Forecast = 2.5895 Date_of_death = Oct2017 Forecast = 2.9763 Date_of_death = Oct2017 Forecast = 2.9763 Date_of_death = Sep2017 Forecast = 2.8133 Date_of_death = Sep2017 Forecast = 2.8133 Date_of_death = Aug2017 Forecast = 3.1597 Date_of_death = Aug2017 Forecast = 3.1597 Date_of_death = Jul2017 Forecast = 2.1871 Date_of_death = Jul2017 Forecast = 2.1871 Date_of_death = Jun2017 Forecast = 2.8593 Date_of_death = Jun2017 Forecast = 2.8593 Date_of_death = May2017 Forecast = 2.9816 Date_of_death = May2017 Forecast = 2.9816 Date_of_death = Apr2017 Forecast = 1.9897 Date_of_death = Apr2017 Forecast = 1.9897 Date_of_death = Mar2017 Forecast = 2.6983 Date_of_death = Mar2017 Forecast = 2.6983 Date_of_death = Feb2017 Forecast = 2.2900 Date_of_death = Feb2017 Forecast = 2.2900 Date_of_death = Jan2017 Forecast = 2.4660 Date_of_death = Jan2017 Forecast = 2.4660 Date_of_death = Dec2016 Forecast = 2.4931 Date_of_death = Dec2016 Forecast = 2.4931 Date_of_death = Nov2016 Forecast = 2.1376 Date_of_death = Nov2016 Forecast = 2.1376 Date_of_death = Oct2016 Forecast = 2.7849 Date_of_death = Oct2016 Forecast = 2.7849 Date_of_death = Sep2016 Forecast = 2.3463 Date_of_death = Sep2016 Forecast = 2.3463 Date_of_death = Aug2016 Forecast = 3.3925 Date_of_death = Aug2016 Forecast = 3.3925 Date_of_death = Jul2016 Forecast = 2.2276 Date_of_death = Jul2016 Forecast = 2.2276 Date_of_death = Jun2016 Forecast = 2.4879 Date_of_death = Jun2016 Forecast = 2.4879 Date_of_death = May2016 Forecast = 3.1198 Date_of_death = May2016 Forecast = 3.1198 Date_of_death = Apr2016 Forecast = 1.3792 Date_of_death = Apr2016 Forecast = 1.3792 Date_of_death = Mar2016 Forecast = 2.6537 Date_of_death = Mar2016 Forecast = 2.6537 Date_of_death = Feb2016 Forecast = 1.6356 Date_of_death = Feb2016 Forecast = 1.6356 Date_of_death = Jan2016 Forecast = 2.1146 Date_of_death = Jan2016 Forecast = 2.1146 Date_of_death = Dec2015 Forecast = 2.2470 Date_of_death = Dec2015 Forecast = 2.2470 Date_of_death = Nov2015 Forecast = 1.9943 Date_of_death = Nov2015 Forecast = 1.9943 Date_of_death = Oct2015 Forecast = 2.8516 Date_of_death = Oct2015 Forecast = 2.8516 Date_of_death = Sep2015 Forecast = 2.4891 Date_of_death = Sep2015 Forecast = 2.4891 Date_of_death = Aug2015 Forecast = 3.6918 Date_of_death = Aug2015 Forecast = 3.6918 Date_of_death = Jul2015 Forecast = 2.4975 Date_of_death = Jul2015 Forecast = 2.4975 Date_of_death = Jun2015 Forecast = 2.9635 Date_of_death = Jun2015 Forecast = 2.9635 Date_of_death = May2015 Forecast = 3.7753 Date_of_death = May2015 Forecast = 3.7753 Date_of_death = Apr2015 Forecast = 2.0264 Date_of_death = Apr2015 Forecast = 2.0264 Date_of_death = Mar2015 Forecast = 2.9831 Date_of_death = Mar2015 Forecast = 2.9831 Date_of_death = Feb2015 Forecast = 2.5195 Date_of_death = Feb2015 Forecast = 2.5195 Date_of_death = Jan2015 Forecast = 2.4381 Date_of_death = Jan2015 Forecast = 2.4381 Date_of_death = Dec2014 Forecast = 3.0987 Date_of_death = Dec2014 Forecast = 3.0987 Date_of_death = Nov2014 Forecast = 2.7772 Date_of_death = Nov2014 Forecast = 2.7772 Date_of_death = Oct2014 Forecast = 3.1232 Date_of_death = Oct2014 Forecast = 3.1232 Date_of_death = Sep2014 Forecast = 3.0476 Date_of_death = Sep2014 Forecast = 3.0476 Date_of_death = Aug2014 Forecast = 3.8401 Date_of_death = Aug2014 Forecast = 3.8401 Date_of_death = Jul2014 Forecast = 2.3311 Date_of_death = Jul2014 Forecast = 2.3311 Date_of_death = Jun2014 Forecast = 2.7964 Date_of_death = Jun2014 Forecast = 2.7964 Date_of_death = May2014 Forecast = 3.3657 Date_of_death = May2014 Forecast = 3.3657 Date_of_death = Apr2014 Forecast = 1.7297 Date_of_death = Apr2014 Forecast = 1.7297 Date_of_death = Mar2014 Forecast = 2.3720 Date_of_death = Mar2014 Forecast = 2.3720 Date_of_death = Feb2014 Forecast = 2.3600 Date_of_death = Feb2014 Forecast = 2.3600 Date_of_death = Jan2014 Forecast = 2.3412 Date_of_death = Jan2014 Forecast = 2.3412 Date_of_death = Dec2013 Forecast = 2.9075 Date_of_death = Dec2013 Forecast = 2.9075 Date_of_death = Nov2013 Forecast = 2.7097 Date_of_death = Nov2013 Forecast = 2.7097 Date_of_death = Oct2013 Forecast = 3.2482 Date_of_death = Oct2013 Forecast = 3.2482 Date_of_death = Sep2013 Forecast = 3.0802 Date_of_death = Sep2013 Forecast = 3.0802 Date_of_death = Aug2013 Forecast = 3.6687 Date_of_death = Aug2013 Forecast = 3.6687 Date_of_death = Jul2013 Forecast = 2.6682 Date_of_death = Jul2013 Forecast = 2.6682 Date_of_death = Jun2013 Forecast = 2.9980 Date_of_death = Jun2013 Forecast = 2.9980 Date_of_death = May2013 Forecast = 3.4253 Date_of_death = May2013 Forecast = 3.4253 Date_of_death = Apr2013 Forecast = 2.0121 Date_of_death = Apr2013 Forecast = 2.0121 Date_of_death = Mar2013 Forecast = 2.6581 Date_of_death = Mar2013 Forecast = 2.6581 Date_of_death = Feb2013 Forecast = 2.8893 Date_of_death = Feb2013 Forecast = 2.8893 Date_of_death = Jan2013 Forecast = 2.8667 Date_of_death = Jan2013 Forecast = 2.8667 Date_of_death = Dec2012 Forecast = 3.3996 Date_of_death = Dec2012 Forecast = 3.3996 Date_of_death = Nov2012 Forecast = 2.6350 Date_of_death = Nov2012 Forecast = 2.6350 Date_of_death = Oct2012 Forecast = 3.0913 Date_of_death = Oct2012 Forecast = 3.0913 Date_of_death = Sep2012 Forecast = 3.4498 Date_of_death = Sep2012 Forecast = 3.4498 Date_of_death = Aug2012 Forecast = 4.0623 Date_of_death = Aug2012 Forecast = 4.0623 Date_of_death = Jul2012 Forecast = 3.1063 Date_of_death = Jul2012 Forecast = 3.1063 Date_of_death = Jun2012 Forecast = 3.2860 Date_of_death = Jun2012 Forecast = 3.2860 Date_of_death = May2012 Forecast = 3.8932 Date_of_death = May2012 Forecast = 3.8932 Date_of_death = Apr2012 Forecast = 2.6261 Date_of_death = Apr2012 Forecast = 2.6261 Date_of_death = Mar2012 Forecast = 3.4445 Date_of_death = Mar2012 Forecast = 3.4445 Date_of_death = Feb2012 Forecast = 3.5578 Date_of_death = Feb2012 Forecast = 3.5578 Date_of_death = Jan2012 Forecast = 3.7035 Date_of_death = Jan2012 Forecast = 3.7035 Date_of_death = Dec2011 Forecast = 4.2675 Date_of_death = Dec2011 Forecast = 4.2675 Date_of_death = Nov2011 Forecast = 3.0927 Date_of_death = Nov2011 Forecast = 3.0927 Date_of_death = Oct2011 Forecast = 3.6358 Date_of_death = Oct2011 Forecast = 3.6358 Date_of_death = Sep2011 Forecast = 3.8573 Date_of_death = Sep2011 Forecast = 3.8573 Date_of_death = Aug2011 Forecast = 4.4053 Date_of_death = Aug2011 Forecast = 4.4053 Date_of_death = Jul2011 Forecast = 3.8594 Date_of_death = Jul2011 Forecast = 3.8594 Date_of_death = Jun2011 Forecast = 3.4457 Date_of_death = Jun2011 Forecast = 3.4457 Date_of_death = May2011 Forecast = 4.0789 Date_of_death = May2011 Forecast = 4.0789 Date_of_death = Apr2011 Forecast = 2.4340 Date_of_death = Apr2011 Forecast = 2.4340 Date_of_death = Mar2011 Forecast = 3.1620 Date_of_death = Mar2011 Forecast = 3.1620 Date_of_death = Feb2011 Forecast = 3.7911 Date_of_death = Feb2011 Forecast = 3.7911 Date_of_death = Jan2011 Forecast = 3.1946 Date_of_death = Jan2011 Forecast = 3.1946 Date_of_death = Dec2010 Forecast = 4.1163 Date_of_death = Dec2010 Forecast = 4.1163 Date_of_death = Nov2010 Forecast = 3.0265 Date_of_death = Nov2010 Forecast = 3.0265 Date_of_death = Oct2010 Forecast = 3.9736 Date_of_death = Oct2010 Forecast = 3.9736 Date_of_death = Sep2010 Forecast = 3.6858 Date_of_death = Sep2010 Forecast = 3.6858 Date_of_death = Aug2010 Forecast = 4.3056 Date_of_death = Aug2010 Forecast = 4.3056 Date_of_death = Jul2010 Forecast = 3.5213 Date_of_death = Jul2010 Forecast = 3.5213 Date_of_death = Jun2010 Forecast = 3.5917 Date_of_death = Jun2010 Forecast = 3.5917 Date_of_death = May2010 Forecast = 3.9092 Date_of_death = May2010 Forecast = 3.9092 Date_of_death = Apr2010 Forecast = 2.0720 Date_of_death = Apr2010 Forecast = 2.0720 Date_of_death = Mar2010 Forecast = 3.0302 Date_of_death = Mar2010 Forecast = 3.0302 Date_of_death = Feb2010 Forecast = 4.1577 Date_of_death = Feb2010 Forecast = 4.1577 Date_of_death = Jan2010 Forecast = 2.8890 Date_of_death = Jan2010 Forecast = 2.8890 Date_of_death = Dec2009 Forecast = 4.6324 Date_of_death = Dec2009 Forecast = 4.6324 Date_of_death = Nov2009 Forecast = 3.3679 Date_of_death = Nov2009 Forecast = 3.3679 Date_of_death = Oct2009 Forecast = 3.7541 Date_of_death = Oct2009 Forecast = 3.7541 Date_of_death = Sep2009 Forecast = 3.4555 Date_of_death = Sep2009 Forecast = 3.4555 Date_of_death = Aug2009 Forecast = 4.1696 Date_of_death = Aug2009 Forecast = 4.1696 Date_of_death = Jul2009 Forecast = 3.2279 Date_of_death = Jul2009 Forecast = 3.2279 Date_of_death = Jun2009 Forecast = 3.1810 Date_of_death = Jun2009 Forecast = 3.1810 Date_of_death = May2009 Forecast = 3.5521 Date_of_death = May2009 Forecast = 3.5521 Date_of_death = Apr2009 Forecast = 2.1870 Date_of_death = Apr2009 Forecast = 2.1870 Date_of_death = Mar2009 Forecast = 3.1664 Date_of_death = Mar2009 Forecast = 3.1664 Date_of_death = Feb2009 Forecast = 3.8839 Date_of_death = Feb2009 Forecast = 3.8839 Date_of_death = Jan2009 Forecast = 2.3852 Date_of_death = Jan2009 Forecast = 2.3852 Date_of_death = Dec2008 Forecast = 4.1651 Date_of_death = Dec2008 Forecast = 4.1651 Date_of_death = Nov2008 Forecast = 2.4955 Date_of_death = Nov2008 Forecast = 2.4955 Date_of_death = Oct2008 Forecast = 2.9208 Date_of_death = Oct2008 Forecast = 2.9208 Date_of_death = Sep2008 Forecast = 2.9308 Date_of_death = Sep2008 Forecast = 2.9308 Date_of_death = Aug2008 Forecast = 3.4112 Date_of_death = Aug2008 Forecast = 3.4112 Date_of_death = Jul2008 Forecast = 3.1176 Date_of_death = Jul2008 Forecast = 3.1176 Date_of_death = Jun2008 Forecast = 3.2159 Date_of_death = Jun2008 Forecast = 3.2159 Date_of_death = May2008 Forecast = 3.8121 Date_of_death = May2008 Forecast = 3.8121 Date_of_death = Apr2008 Forecast = 2.2346 Date_of_death = Apr2008 Forecast = 2.2346 Date_of_death = Mar2008 Forecast = 2.6400 Date_of_death = Mar2008 Forecast = 2.6400 Date_of_death = Feb2008 Forecast = 3.5030 Date_of_death = Feb2008 Forecast = 3.5030 Date_of_death = Jan2008 Forecast = 2.5527 Date_of_death = Jan2008 Forecast = 2.5527 Date_of_death = Dec2007 Forecast = 3.9767 Date_of_death = Dec2007 Forecast = 3.9767 Date_of_death = Nov2007 Forecast = 2.9196 Date_of_death = Nov2007 Forecast = 2.9196 Date_of_death = Oct2007 Forecast = 3.5930 Date_of_death = Oct2007 Forecast = 3.5930 Date_of_death = Sep2007 Forecast = 3.7448 Date_of_death = Sep2007 Forecast = 3.7448 Date_of_death = Aug2007 Forecast = 4.2905 Date_of_death = Aug2007 Forecast = 4.2905 Date_of_death = Jul2007 Forecast = 3.2848 Date_of_death = Jul2007 Forecast = 3.2848 Date_of_death = Jun2007 Forecast = 3.2393 Date_of_death = Jun2007 Forecast = 3.2393 Date_of_death = May2007 Forecast = 4.1863 Date_of_death = May2007 Forecast = 4.1863 Date_of_death = Apr2007 Forecast = 2.7052 Date_of_death = Apr2007 Forecast = 2.7052 Date_of_death = Mar2007 Forecast = 3.3985 Date_of_death = Mar2007 Forecast = 3.3985 Date_of_death = Feb2007 Forecast = 3.7403 Date_of_death = Feb2007 Forecast = 3.7403 Date_of_death = Jan2007 Forecast = 3.3771 Date_of_death = Jan2007 Forecast = 3.3771 Date_of_death = Dec2006 Forecast = 4.3258 Date_of_death = Dec2006 Forecast = 4.3258 Date_of_death = Nov2006 Forecast = 3.8601 Date_of_death = Nov2006 Forecast = 3.8601 Date_of_death = Oct2006 Forecast = 3.7112 Date_of_death = Oct2006 Forecast = 3.7112 Date_of_death = Sep2006 Forecast = 3.7376 Date_of_death = Sep2006 Forecast = 3.7376 Date_of_death = Aug2006 Forecast = 4.2778 Date_of_death = Aug2006 Forecast = 4.2778 Date_of_death = Jul2006 Forecast = 3.0912 Date_of_death = Jul2006 Forecast = 3.0912 Date_of_death = Jun2006 Forecast = 3.0253 Date_of_death = Jun2006 Forecast = 3.0253 Date_of_death = May2006 Forecast = 4.0403 Date_of_death = May2006 Forecast = 4.0403 Date_of_death = Apr2006 Forecast = 2.0541 Date_of_death = Apr2006 Forecast = 2.0541 Date_of_death = Mar2006 Forecast = 2.6961 Date_of_death = Mar2006 Forecast = 2.6961 Date_of_death = Feb2006 Forecast = 3.9893 Date_of_death = Feb2006 Forecast = 3.9893 Date_of_death = Jan2006 Forecast = 2.5732 Date_of_death = Jan2006 Forecast = 2.5732 Date_of_death = Dec2005 Forecast = 4.7334 Date_of_death = Dec2005 Forecast = 4.7334 Date_of_death = Nov2005 Forecast = 3.0713 Date_of_death = Nov2005 Forecast = 3.0713 Date_of_death = Oct2005 Forecast = 2.8985 Date_of_death = Oct2005 Forecast = 2.8985 Date_of_death = Sep2005 Forecast = 2.8969 Date_of_death = Sep2005 Forecast = 2.8969 Date_of_death = Aug2005 Forecast = 4.5994 Date_of_death = Aug2005 Forecast = 4.5994 Date_of_death = Jul2005 Forecast = 2.2357 Date_of_death = Jul2005 Forecast = 2.2357 Date_of_death = Jun2005 Forecast = 2.1664 Date_of_death = Jun2005 Forecast = 2.1664 Date_of_death = May2005 Forecast = 4.4649 Date_of_death = May2005 Forecast = 4.4649 Date_of_death = Apr2005 Forecast = 1.1290 Date_of_death = Apr2005 Forecast = 1.1290 Date_of_death = Mar2005 Forecast = 2.7012 Date_of_death = Mar2005 Forecast = 2.7012 Date_of_death = Feb2005 Forecast = 4.4936 Date_of_death = Feb2005 Forecast = 4.4936 Date_of_death = Jan2005 Forecast = 2.9076 Date_of_death = Jan2005 Forecast = 2.9076 Date_of_death = Dec2004 Forecast = 4.5030 Date_of_death = Dec2004 Forecast = 4.5030 Date_of_death = Nov2004 Forecast = 2.4172 Date_of_death = Nov2004 Forecast = 2.4172 Date_of_death = Oct2004 Forecast = 3.4586 Date_of_death = Oct2004 Forecast = 3.4586 Date_of_death = Sep2004 Forecast = 3.5883 Date_of_death = Sep2004 Forecast = 3.5883 Date_of_death = Aug2004 Forecast = 4.5419 Date_of_death = Aug2004 Forecast = 4.5419 Date_of_death = Jul2004 Forecast = 2.5247 Date_of_death = Jul2004 Forecast = 2.5247 Date_of_death = Jun2004 Forecast = 2.8651 Date_of_death = Jun2004 Forecast = 2.8651 Date_of_death = May2004 Forecast = 4.5830 Date_of_death = May2004 Forecast = 4.5830 Date_of_death = Apr2004 Forecast = 1.6267 Date_of_death = Apr2004 Forecast = 1.6267 Date_of_death = Mar2004 Forecast = 3.6618 Date_of_death = Mar2004 Forecast = 3.6618 Date_of_death = Feb2004 Forecast = 4.6924 Date_of_death = Feb2004 Forecast = 4.6924 Date_of_death = Jan2004 Forecast = 3.7942 Date_of_death = Jan2004 Forecast = 3.7942 Date_of_death = Dec2003 Forecast = 4.7251 Date_of_death = Dec2003 Forecast = 4.7251 Date_of_death = Nov2003 Forecast = 3.4997 Date_of_death = Nov2003 Forecast = 3.4997 Date_of_death = Oct2003 Forecast = 4.9119 Date_of_death = Oct2003 Forecast = 4.9119 Date_of_death = Sep2003 Forecast = 3.5668 Date_of_death = Sep2003 Forecast = 3.5668 Date_of_death = Aug2003 Forecast = 4.8988 Date_of_death = Aug2003 Forecast = 4.8988 Date_of_death = Jul2003 Forecast = 3.6255 Date_of_death = Jul2003 Forecast = 3.6255 Date_of_death = Jun2003 Forecast = 3.7241 Date_of_death = Jun2003 Forecast = 3.7241 Date_of_death = May2003 Forecast = 5.0356 Date_of_death = May2003 Forecast = 5.0356 Date_of_death = Apr2003 Forecast = 2.4669 Date_of_death = Apr2003 Forecast = 2.4669 Date_of_death = Mar2003 Forecast = 5.2446 Date_of_death = Mar2003 Forecast = 5.2446 Date_of_death = Feb2003 Forecast = 5.2631 Date_of_death = Feb2003 Forecast = 5.2631 Date_of_death = Jan2003 Forecast = 3.9303 Date_of_death = Jan2003 Forecast = 3.9303 Date_of_death = Dec2002 Forecast = 5.1660 Date_of_death = Dec2002 Forecast = 5.1660 Date_of_death = Nov2002 Forecast = 3.1553 Date_of_death = Nov2002 Forecast = 3.1553 Date_of_death = Oct2002 Forecast = 5.1551 Date_of_death = Oct2002 Forecast = 5.1551 Date_of_death = Sep2002 Forecast = 3.1434 Date_of_death = Sep2002 Forecast = 3.1434 Date_of_death = Aug2002 Forecast = 5.1632 Date_of_death = Aug2002 Forecast = 5.1632 Date_of_death = Jul2002 Forecast = 5.2732 Date_of_death = Jul2002 Forecast = 5.2732 Date_of_death = Jun2002 Forecast = 3.2637 Date_of_death = Jun2002 Forecast = 3.2637 Date_of_death = May2002 Forecast = 5.2654 Date_of_death = May2002 Forecast = 5.2654 Date_of_death = Apr2002 Forecast = 1.1960 Date_of_death = Apr2002 Forecast = 1.1960 Date_of_death = Mar2002 Forecast = 5.2149 Date_of_death = Mar2002 Forecast = 5.2149 Date_of_death = Feb2002 Forecast = 5.2247 Date_of_death = Feb2002 Forecast = 5.2247 Date_of_death = Jan2002 Forecast = 3.2044 Date_of_death = Jan2002 Forecast = 3.2044 Date_of_death = Dec2001 Forecast = 5.1455 Date_of_death = Dec2001 Forecast = 5.1455 Date_of_death = Nov2001 Forecast = 1.1065 Date_of_death = Nov2001 Forecast = 1.1065 Date_of_death = Oct2001 Forecast = 5.1181 Date_of_death = Oct2001 Forecast = 5.1181 Date_of_death = Sep2001 Forecast = 1.0732 Date_of_death = Sep2001 Forecast = 1.0732 Date_of_death = Aug2001 Forecast = 5.0861 Date_of_death = Aug2001 Forecast = 5.0861 Date_of_death = Jul2001 Forecast = 5.0919 Date_of_death = Jul2001 Forecast = 5.0919 Date_of_death = Jun2001 Forecast = 1.0405 Date_of_death = Jun2001 Forecast = 1.0405 Date_of_death = May2001 Forecast = 5.0472 Date_of_death = May2001 Forecast = 5.0472 Date_of_death = Apr2001 Forecast = 1.0542 Date_of_death = Apr2001 Forecast = 1.0542 Date_of_death = Mar2001 Forecast = 5.0613 Date_of_death = Mar2001 Forecast = 5.0613 Date_of_death = Feb2001 Forecast = 5.0613 Date_of_death = Feb2001 Forecast = 5.0613 Date_of_death = Jan2001 Forecast = 1.0000 Date_of_death = Sep2019 incidents = 1.0000 Date_of_death = Aug2019 incidents = 4.0000 Date_of_death = Jul2019 incidents = 2.0000 Date_of_death = Jun2019 incidents = 3.0000 Date_of_death = May2019 incidents = 1.0000 Date_of_death = Apr2019 incidents = 5.0000 Date_of_death = Mar2019 incidents = 5.0000 Date_of_death = Feb2019 incidents = 1.0000 Date_of_death = Jan2019 incidents = 2.0000 Date_of_death = Dec2018 incidents = 1.0000 Date_of_death = Nov2018 incidents = 5.0000 Date_of_death = Oct2018 incidents = 5.0000 Date_of_death = Sep2018 incidents = 1.0000 Date_of_death = Aug2018 incidents = 1.0000 Date_of_death = Jul2018 incidents = 2.0000 Date_of_death = Jun2018 incidents = 1.0000 Date_of_death = May2018 incidents = 1.0000 Date_of_death = Apr2018 incidents = 1.0000 Date_of_death = Mar2018 incidents = 1.0000 Date_of_death = Feb2018 incidents = 1.0000 Date_of_death = Jan2018 incidents = 1.0000 Date_of_death = Dec2017 incidents = 1.0000 Date_of_death = Nov2017 incidents = 5.0000 Date_of_death = Oct2017 incidents = 1.0000 Date_of_death = Sep2017 incidents = 5.0000 Date_of_death = Aug2017 incidents = 5.0000 Date_of_death = Jul2017 incidents = 5.0000 Date_of_death = Jun2017 incidents = 1.0000 Date_of_death = May2017 incidents = 2.0000 Date_of_death = Apr2017 incidents = 1.0000 Date_of_death = Mar2017 incidents = 5.0000 Date_of_death = Feb2017 incidents = 2.0000 Date_of_death = Jan2017 incidents = 1.0000 Date_of_death = Dec2016 incidents = 1.0000 Date_of_death = Nov2016 incidents = 5.0000 Date_of_death = Oct2016 incidents = 3.0000 Date_of_death = Sep2016 incidents = 5.0000 Date_of_death = Aug2016 incidents = 1.0000 Date_of_death = Jul2016 incidents = 2.0000 Date_of_death = Jun2016 incidents = 5.0000 Date_of_death = May2016 incidents = 1.0000 Date_of_death = Apr2016 incidents = 5.0000 Date_of_death = Mar2016 incidents = 2.0000 Date_of_death = Feb2016 incidents = 5.0000 Date_of_death = Jan2016 incidents = 2.0000 Date_of_death = Dec2015 incidents = 1.0000 Date_of_death = Nov2015 incidents = 1.0000 Date_of_death = Oct2015 incidents = 1.0000 Date_of_death = Sep2015 incidents = 1.0000 Date_of_death = Aug2015 incidents = 1.0000 Date_of_death = Jul2015 incidents = 1.0000 Date_of_death = Jun2015 incidents = 1.0000 Date_of_death = May2015 incidents = 1.0000 Date_of_death = Apr2015 incidents = 1.0000 Date_of_death = Mar2015 incidents = 5.0000 Date_of_death = Feb2015 incidents = 1.0000 Date_of_death = Jan2015 incidents = 5.0000 Date_of_death = Dec2014 incidents = 1.0000 Date_of_death = Nov2014 incidents = 1.0000 Date_of_death = Oct2014 incidents = 5.0000 Date_of_death = Sep2014 incidents = 2.0000 Date_of_death = Aug2014 incidents = 5.0000 Date_of_death = Jul2014 incidents = 5.0000 Date_of_death = Jun2014 incidents = 4.0000 Date_of_death = May2014 incidents = 5.0000 Date_of_death = Apr2014 incidents = 2.0000 Date_of_death = Mar2014 incidents = 5.0000 Date_of_death = Feb2014 incidents = 1.0000 Date_of_death = Jan2014 incidents = 1.0000 Date_of_death = Dec2013 incidents = 2.0000 Date_of_death = Nov2013 incidents = 1.0000 Date_of_death = Oct2013 incidents = 1.0000 Date_of_death = Sep2013 incidents = 2.0000 Date_of_death = Aug2013 incidents = 5.0000 Date_of_death = Jul2013 incidents = 1.0000 Date_of_death = Jun2013 incidents = 3.0000 Date_of_death = May2013 incidents = 5.0000 Date_of_death = Apr2013 incidents = 2.0000 Date_of_death = Mar2013 incidents = 3.0000 Date_of_death = Feb2013 incidents = 1.0000 Date_of_death = Jan2013 incidents = 1.0000 Date_of_death = Dec2012 incidents = 2.0000 Date_of_death = Nov2012 incidents = 5.0000 Date_of_death = Oct2012 incidents = 5.0000 Date_of_death = Sep2012 incidents = 1.0000 Date_of_death = Aug2012 incidents = 2.0000 Date_of_death = Jul2012 incidents = 1.0000 Date_of_death = Jun2012 incidents = 3.0000 Date_of_death = May2012 incidents = 3.0000 Date_of_death = Apr2012 incidents = 1.0000 Date_of_death = Mar2012 incidents = 1.0000 Date_of_death = Feb2012 incidents = 2.0000 Date_of_death = Jan2012 incidents = 1.0000 Date_of_death = Dec2011 incidents = 2.0000 Date_of_death = Nov2011 incidents = 5.0000 Date_of_death = Oct2011 incidents = 5.0000 Date_of_death = Sep2011 incidents = 5.0000 Date_of_death = Aug2011 incidents = 5.0000 Date_of_death = Jul2011 incidents = 1.0000 Date_of_death = Jun2011 incidents = 5.0000 Date_of_death = May2011 incidents = 5.0000 Date_of_death = Apr2011 incidents = 5.0000 Date_of_death = Mar2011 incidents = 5.0000 Date_of_death = Feb2011 incidents = 1.0000 Date_of_death = Jan2011 incidents = 5.0000 Date_of_death = Dec2010 incidents = 3.0000 Date_of_death = Nov2010 incidents = 2.0000 Date_of_death = Oct2010 incidents = 1.0000 Date_of_death = Sep2010 incidents = 5.0000 Date_of_death = Aug2010 incidents = 5.0000 Date_of_death = Jul2010 incidents = 5.0000 Date_of_death = Jun2010 incidents = 2.0000 Date_of_death = May2010 incidents = 5.0000 Date_of_death = Apr2010 incidents = 5.0000 Date_of_death = Mar2010 incidents = 4.0000 Date_of_death = Feb2010 incidents = 1.0000 Date_of_death = Jan2010 incidents = 5.0000 Date_of_death = Dec2009 incidents = 1.0000 Date_of_death = Nov2009 incidents = 1.0000 Date_of_death = Oct2009 incidents = 5.0000 Date_of_death = Sep2009 incidents = 5.0000 Date_of_death = Aug2009 incidents = 5.0000 Date_of_death = Jul2009 incidents = 5.0000 Date_of_death = Jun2009 incidents = 5.0000 Date_of_death = May2009 incidents = 5.0000 Date_of_death = Apr2009 incidents = 1.0000 Date_of_death = Mar2009 incidents = 2.0000 Date_of_death = Feb2009 incidents = 5.0000 Date_of_death = Jan2009 incidents = 5.0000 Date_of_death = Dec2008 incidents = 5.0000 Date_of_death = Nov2008 incidents = 5.0000 Date_of_death = Oct2008 incidents = 5.0000 Date_of_death = Sep2008 incidents = 3.0000 Date_of_death = Aug2008 incidents = 5.0000 Date_of_death = Jul2008 incidents = 1.0000 Date_of_death = Jun2008 incidents = 1.0000 Date_of_death = May2008 incidents = 1.0000 Date_of_death = Apr2008 incidents = 1.0000 Date_of_death = Mar2008 incidents = 5.0000 Date_of_death = Feb2008 incidents = 5.0000 Date_of_death = Jan2008 incidents = 1.0000 Date_of_death = Dec2007 incidents = 5.0000 Date_of_death = Nov2007 incidents = 1.0000 Date_of_death = Oct2007 incidents = 1.0000 Date_of_death = Sep2007 incidents = 1.0000 Date_of_death = Aug2007 incidents = 2.0000 Date_of_death = Jul2007 incidents = 5.0000 Date_of_death = Jun2007 incidents = 5.0000 Date_of_death = May2007 incidents = 3.0000 Date_of_death = Apr2007 incidents = 1.0000 Date_of_death = Mar2007 incidents = 1.0000 Date_of_death = Feb2007 incidents = 5.0000 Date_of_death = Jan2007 incidents = 1.0000 Date_of_death = Dec2006 incidents = 5.0000 Date_of_death = Nov2006 incidents = 1.0000 Date_of_death = Oct2006 incidents = 5.0000 Date_of_death = Sep2006 incidents = 5.0000 Date_of_death = Aug2006 incidents = 5.0000 Date_of_death = Jul2006 incidents = 5.0000 Date_of_death = Jun2006 incidents = 5.0000 Date_of_death = May2006 incidents = 5.0000 Date_of_death = Apr2006 incidents = 5.0000 Date_of_death = Mar2006 incidents = 5.0000 Date_of_death = Feb2006 incidents = 1.0000 Date_of_death = Jan2006 incidents = 5.0000 Date_of_death = Dec2005 incidents = 1.0000 Date_of_death = Nov2005 incidents = 5.0000 Date_of_death = Oct2005 incidents = 5.0000 Date_of_death = Sep2005 incidents = 5.0000 Date_of_death = Aug2005 incidents = 1.0000 Date_of_death = Jul2005 incidents = 5.0000 Date_of_death = Jun2005 incidents = 5.0000 Date_of_death = May2005 incidents = 1.0000 Date_of_death = Apr2005 incidents = 5.0000 Date_of_death = Mar2005 incidents = 2.0000 Date_of_death = Feb2005 incidents = 1.0000 Date_of_death = Jan2005 incidents = 1.0000 Date_of_death = Dec2004 incidents = 5.0000 Date_of_death = Nov2004 incidents = 5.0000 Date_of_death = Oct2004 incidents = 1.0000 Date_of_death = Sep2004 incidents = 1.0000 Date_of_death = Aug2004 incidents = 5.0000 Date_of_death = Jul2004 incidents = 2.0000 Date_of_death = Jun2004 incidents = 1.0000 Date_of_death = May2004 incidents = 5.0000 Date_of_death = Apr2004 incidents = 1.0000 Date_of_death = Mar2004 incidents = 1.0000 Date_of_death = Feb2004 incidents = 5.0000 Date_of_death = Jan2004 incidents = 1.0000 Date_of_death = Dec2003 incidents = 5.0000 Date_of_death = Nov2003 incidents = 1.0000 Date_of_death = Oct2003 incidents = 1.0000 Date_of_death = Sep2003 incidents = 5.0000 Date_of_death = Aug2003 incidents = 5.0000 Date_of_death = Jul2003 incidents = 1.0000 Date_of_death = Jun2003 incidents = 2.0000 Date_of_death = May2003 incidents = 5.0000 Date_of_death = Apr2003 incidents = 1.0000 Date_of_death = Mar2003 incidents = 1.0000 Date_of_death = Feb2003 incidents = 5.0000 Date_of_death = Jan2003 incidents = 5.0000 Date_of_death = Dec2002 incidents = 5.0000 Date_of_death = Nov2002 incidents = 5.0000 Date_of_death = Oct2002 incidents = 5.0000 Date_of_death = Sep2002 incidents = 5.0000 Date_of_death = Aug2002 incidents = 5.0000 Date_of_death = Jul2002 incidents = 1.0000 Date_of_death = Jun2002 incidents = 5.0000 Date_of_death = May2002 incidents = 5.0000 Date_of_death = Apr2002 incidents = 5.0000 Date_of_death = Mar2002 incidents = 5.0000 Date_of_death = Feb2002 incidents = 5.0000 Date_of_death = Jan2002 incidents = 5.0000 Date_of_death = Dec2001 incidents = 5.0000 Date_of_death = Nov2001 incidents = 5.0000 Date_of_death = Oct2001 incidents = 5.0000 Date_of_death = Sep2001 incidents = 5.0000 Date_of_death = Aug2001 incidents = 5.0000 Date_of_death = Jul2001 incidents = 5.0000 Date_of_death = Jun2001 incidents = 5.0000 Date_of_death = May2001 incidents = 5.0000 Date_of_death = Apr2001 incidents = 1.0000 Date_of_death = Mar2001 incidents = 5.0000 Date_of_death = Feb2001 incidents = 5.0000 Date_of_death = Jan2001 incidents = 5.0000 Date_of_death = Sep2020 Upper 95% = 6.2400 Lower 95% = -1.2635 Date_of_death = Aug2020 Upper 95% = 6.8682 Lower 95% = -0.6318 Date_of_death = Aug2020 Upper 95% = 6.8682 Lower 95% = -0.6318 Date_of_death = Jul2020 Upper 95% = 6.1133 Lower 95% = -1.3788 Date_of_death = Jul2020 Upper 95% = 6.1133 Lower 95% = -1.3788 Date_of_death = Jun2020 Upper 95% = 6.2765 Lower 95% = -1.2071 Date_of_death = Jun2020 Upper 95% = 6.2765 Lower 95% = -1.2071 Date_of_death = May2020 Upper 95% = 6.1952 Lower 95% = -1.2799 Date_of_death = May2020 Upper 95% = 6.1952 Lower 95% = -1.2799 Date_of_death = Apr2020 Upper 95% = 5.7331 Lower 95% = -1.7335 Date_of_death = Apr2020 Upper 95% = 5.7331 Lower 95% = -1.7335 Date_of_death = Mar2020 Upper 95% = 6.6015 Lower 95% = -0.8564 Date_of_death = Mar2020 Upper 95% = 6.6015 Lower 95% = -0.8564 Date_of_death = Feb2020 Upper 95% = 5.6795 Lower 95% = -1.7697 Date_of_death = Feb2020 Upper 95% = 5.6795 Lower 95% = -1.7697 Date_of_death = Jan2020 Upper 95% = 5.8481 Lower 95% = -1.5922 Date_of_death = Jan2020 Upper 95% = 5.8481 Lower 95% = -1.5922 Date_of_death = Dec2019 Upper 95% = 5.6168 Lower 95% = -1.8178 Date_of_death = Dec2019 Upper 95% = 5.6168 Lower 95% = -1.8178 Date_of_death = Nov2019 Upper 95% = 6.4982 Lower 95% = -0.9278 Date_of_death = Nov2019 Upper 95% = 6.4982 Lower 95% = -0.9278 Date_of_death = Oct2019 Upper 95% = 6.3998 Lower 95% = -1.0222
Forecast Plot

County=Franklin

Series Span Summary

Estimation Span

County=Franklin

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 5.00000 3.29536 1.87459

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 5.00000 3.29536 1.87459

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.79941
Level Error Variance 1.04978
Season Error Variance 3.42187

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -481.2
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 968.43
BIC (smaller is better) 978.67
AICC (smaller is better) 968.53
HQIC (smaller is better) 972.56
CAIC (smaller is better) 981.67
Likelihood Optimization Algorithm Converged in 14 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 3.45183 0.34436 10.02 <.0001
Level Error Variance 1.979545E-9 1.33779E-6 0.00 0.9988
Season Error Variance 0.01079 0.01949 0.55 0.5799

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 4.12791
Root Mean Squared Error 2.03173
Mean Absolute Percentage Error 98.77465
Maximum Percent Error 80.14496
R-Square -0.18491
Adjusted R-Square -0.19559
Random Walk R-Square 0.39096
Amemiya's Adjusted R-Square -0.21693

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 12.25 0.0005
Level 1 743.34 <.0001
Season 11 6.11 0.8661

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.291449974 0.1207239

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.01079

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 6.5782 Percent = 0.0362 Prediction Error = 6.5155 Percent = 0.0426 Prediction Error = 6.5155 Percent = 0.0426 Prediction Error = 6.4528 Percent = 0.05 Prediction Error = 6.4528 Percent = 0.05 Prediction Error = 6.39 Percent = 0.0585 Prediction Error = 6.39 Percent = 0.0585 Prediction Error = 6.3273 Percent = 0.0682 Prediction Error = 6.3273 Percent = 0.0682 Prediction Error = 6.2646 Percent = 0.0793 Prediction Error = 6.2646 Percent = 0.0793 Prediction Error = 6.2019 Percent = 0.0919 Prediction Error = 6.2019 Percent = 0.0919 Prediction Error = 6.1392 Percent = 0.1062 Prediction Error = 6.1392 Percent = 0.1062 Prediction Error = 6.0765 Percent = 0.1223 Prediction Error = 6.0765 Percent = 0.1223 Prediction Error = 6.0138 Percent = 0.1404 Prediction Error = 6.0138 Percent = 0.1404 Prediction Error = 5.9511 Percent = 0.1608 Prediction Error = 5.9511 Percent = 0.1608 Prediction Error = 5.8884 Percent = 0.1835 Prediction Error = 5.8884 Percent = 0.1835 Prediction Error = 5.8257 Percent = 0.2088 Prediction Error = 5.8257 Percent = 0.2088 Prediction Error = 5.763 Percent = 0.2369 Prediction Error = 5.763 Percent = 0.2369 Prediction Error = 5.7003 Percent = 0.2681 Prediction Error = 5.7003 Percent = 0.2681 Prediction Error = 5.6376 Percent = 0.3025 Prediction Error = 5.6376 Percent = 0.3025 Prediction Error = 5.5749 Percent = 0.3405 Prediction Error = 5.5749 Percent = 0.3405 Prediction Error = 5.5122 Percent = 0.3823 Prediction Error = 5.5122 Percent = 0.3823 Prediction Error = 5.4495 Percent = 0.4281 Prediction Error = 5.4495 Percent = 0.4281 Prediction Error = 5.3868 Percent = 0.4782 Prediction Error = 5.3868 Percent = 0.4782 Prediction Error = 5.3241 Percent = 0.5329 Prediction Error = 5.3241 Percent = 0.5329 Prediction Error = 5.2614 Percent = 0.5926 Prediction Error = 5.2614 Percent = 0.5926 Prediction Error = 5.1986 Percent = 0.6576 Prediction Error = 5.1986 Percent = 0.6576 Prediction Error = 5.1359 Percent = 0.7281 Prediction Error = 5.1359 Percent = 0.7281 Prediction Error = 5.0732 Percent = 0.8046 Prediction Error = 5.0732 Percent = 0.8046 Prediction Error = 5.0105 Percent = 0.8875 Prediction Error = 5.0105 Percent = 0.8875 Prediction Error = 4.9478 Percent = 0.9771 Prediction Error = 4.9478 Percent = 0.9771 Prediction Error = 4.8851 Percent = 1.0739 Prediction Error = 4.8851 Percent = 1.0739 Prediction Error = 4.8224 Percent = 1.1783 Prediction Error = 4.8224 Percent = 1.1783 Prediction Error = 4.7597 Percent = 1.2908 Prediction Error = 4.7597 Percent = 1.2908 Prediction Error = 4.697 Percent = 1.412 Prediction Error = 4.697 Percent = 1.412 Prediction Error = 4.6343 Percent = 1.5424 Prediction Error = 4.6343 Percent = 1.5424 Prediction Error = 4.5716 Percent = 1.6824 Prediction Error = 4.5716 Percent = 1.6824 Prediction Error = 4.5089 Percent = 1.8328 Prediction Error = 4.5089 Percent = 1.8328 Prediction Error = 4.4462 Percent = 1.9942 Prediction Error = 4.4462 Percent = 1.9942 Prediction Error = 4.3835 Percent = 2.1671 Prediction Error = 4.3835 Percent = 2.1671 Prediction Error = 4.3208 Percent = 2.3521 Prediction Error = 4.3208 Percent = 2.3521 Prediction Error = 4.2581 Percent = 2.5501 Prediction Error = 4.2581 Percent = 2.5501 Prediction Error = 4.1954 Percent = 2.7615 Prediction Error = 4.1954 Percent = 2.7615 Prediction Error = 4.1327 Percent = 2.9869 Prediction Error = 4.1327 Percent = 2.9869 Prediction Error = 4.07 Percent = 3.2271 Prediction Error = 4.07 Percent = 3.2271 Prediction Error = 4.0072 Percent = 3.4825 Prediction Error = 4.0072 Percent = 3.4825 Prediction Error = 3.9445 Percent = 3.7537 Prediction Error = 3.9445 Percent = 3.7537 Prediction Error = 3.8818 Percent = 4.041 Prediction Error = 3.8818 Percent = 4.041 Prediction Error = 3.8191 Percent = 4.3448 Prediction Error = 3.8191 Percent = 4.3448 Prediction Error = 3.7564 Percent = 4.6653 Prediction Error = 3.7564 Percent = 4.6653 Prediction Error = 3.6937 Percent = 5.0027 Prediction Error = 3.6937 Percent = 5.0027 Prediction Error = 3.631 Percent = 5.3569 Prediction Error = 3.631 Percent = 5.3569 Prediction Error = 3.5683 Percent = 5.7276 Prediction Error = 3.5683 Percent = 5.7276 Prediction Error = 3.5056 Percent = 6.1147 Prediction Error = 3.5056 Percent = 6.1147 Prediction Error = 3.4429 Percent = 6.5173 Prediction Error = 3.4429 Percent = 6.5173 Prediction Error = 3.3802 Percent = 6.935 Prediction Error = 3.3802 Percent = 6.935 Prediction Error = 3.3175 Percent = 7.3665 Prediction Error = 3.3175 Percent = 7.3665 Prediction Error = 3.1921 Percent = 8.2666 Prediction Error = 3.1921 Percent = 8.2666 Prediction Error = 2.8786 Percent = 10.652 Prediction Error = 2.8786 Percent = 10.652 Prediction Error = 2.6904 Percent = 12.087 Prediction Error = 2.6904 Percent = 12.087 Prediction Error = 2.565 Percent = 13.002 Prediction Error = 2.565 Percent = 13.002 Prediction Error = 2.5023 Percent = 13.438 Prediction Error = 2.5023 Percent = 13.438 Prediction Error = 2.4396 Percent = 13.857 Prediction Error = 2.4396 Percent = 13.857 Prediction Error = 2.3769 Percent = 14.256 Prediction Error = 2.3769 Percent = 14.256 Prediction Error = 2.3142 Percent = 14.632 Prediction Error = 2.3142 Percent = 14.632 Prediction Error = 2.2515 Percent = 14.984 Prediction Error = 2.2515 Percent = 14.984 Prediction Error = 2.1888 Percent = 15.308 Prediction Error = 2.1888 Percent = 15.308 Prediction Error = 2.1261 Percent = 15.605 Prediction Error = 2.1261 Percent = 15.605 Prediction Error = 2.0634 Percent = 15.871 Prediction Error = 2.0634 Percent = 15.871 Prediction Error = 2.0007 Percent = 16.107 Prediction Error = 2.0007 Percent = 16.107 Prediction Error = 1.938 Percent = 16.31 Prediction Error = 1.938 Percent = 16.31 Prediction Error = 1.8753 Percent = 16.482 Prediction Error = 1.8753 Percent = 16.482 Prediction Error = 1.8126 Percent = 16.621 Prediction Error = 1.8126 Percent = 16.621 Prediction Error = 1.7499 Percent = 16.727 Prediction Error = 1.7499 Percent = 16.727 Prediction Error = 1.6872 Percent = 16.802 Prediction Error = 1.6872 Percent = 16.802 Prediction Error = 1.6245 Percent = 16.846 Prediction Error = 1.6245 Percent = 16.846 Prediction Error = 1.5617 Percent = 16.86 Prediction Error = 1.5617 Percent = 16.86 Prediction Error = 1.499 Percent = 16.846 Prediction Error = 1.499 Percent = 16.846 Prediction Error = 1.4363 Percent = 16.805 Prediction Error = 1.4363 Percent = 16.805 Prediction Error = 1.3736 Percent = 16.739 Prediction Error = 1.3736 Percent = 16.739 Prediction Error = 1.3109 Percent = 16.651 Prediction Error = 1.3109 Percent = 16.651 Prediction Error = 1.2482 Percent = 16.542 Prediction Error = 1.2482 Percent = 16.542 Prediction Error = 1.1855 Percent = 16.415 Prediction Error = 1.1855 Percent = 16.415 Prediction Error = 1.1228 Percent = 16.272 Prediction Error = 1.1228 Percent = 16.272 Prediction Error = 1.0601 Percent = 16.115 Prediction Error = 1.0601 Percent = 16.115 Prediction Error = 0.9974 Percent = 15.947 Prediction Error = 0.9974 Percent = 15.947 Prediction Error = 0.9347 Percent = 15.77 Prediction Error = 0.9347 Percent = 15.77 Prediction Error = 0.6212 Percent = 14.821 Prediction Error = 0.6212 Percent = 14.821 Prediction Error = 0.4958 Percent = 14.443 Prediction Error = 0.4958 Percent = 14.443 Prediction Error = 0.3703 Percent = 14.083 Prediction Error = 0.3703 Percent = 14.083 Prediction Error = 0.3076 Percent = 13.912 Prediction Error = 0.3076 Percent = 13.912 Prediction Error = 0.2449 Percent = 13.747 Prediction Error = 0.2449 Percent = 13.747 Prediction Error = 0.1822 Percent = 13.59 Prediction Error = 0.1822 Percent = 13.59 Prediction Error = 0.1195 Percent = 13.44 Prediction Error = 0.1195 Percent = 13.44 Prediction Error = 0.0568 Percent = 13.299 Prediction Error = 0.0568 Percent = 13.299 Prediction Error = -0.006 Percent = 13.165 Prediction Error = -0.006 Percent = 13.165 Prediction Error = -0.069 Percent = 13.041 Prediction Error = -0.069 Percent = 13.041 Prediction Error = -0.131 Percent = 12.925 Prediction Error = -0.131 Percent = 12.925 Prediction Error = -0.194 Percent = 12.817 Prediction Error = -0.194 Percent = 12.817 Prediction Error = -0.257 Percent = 12.719 Prediction Error = -0.257 Percent = 12.719 Prediction Error = -0.319 Percent = 12.629 Prediction Error = -0.319 Percent = 12.629 Prediction Error = -0.382 Percent = 12.549 Prediction Error = -0.382 Percent = 12.549 Prediction Error = -0.445 Percent = 12.477 Prediction Error = -0.445 Percent = 12.477 Prediction Error = -0.508 Percent = 12.414 Prediction Error = -0.508 Percent = 12.414 Prediction Error = -0.57 Percent = 12.36 Prediction Error = -0.57 Percent = 12.36 Prediction Error = -0.633 Percent = 12.315 Prediction Error = -0.633 Percent = 12.315 Prediction Error = -0.696 Percent = 12.279 Prediction Error = -0.696 Percent = 12.279 Prediction Error = -0.758 Percent = 12.251 Prediction Error = -0.758 Percent = 12.251 Prediction Error = -0.821 Percent = 12.232 Prediction Error = -0.821 Percent = 12.232 Prediction Error = -0.884 Percent = 12.221 Prediction Error = -0.884 Percent = 12.221 Prediction Error = -0.946 Percent = 12.217 Prediction Error = -0.946 Percent = 12.217 Prediction Error = -1.009 Percent = 12.221 Prediction Error = -1.009 Percent = 12.221 Prediction Error = -1.072 Percent = 12.231 Prediction Error = -1.072 Percent = 12.231 Prediction Error = -1.135 Percent = 12.247 Prediction Error = -1.135 Percent = 12.247 Prediction Error = -1.197 Percent = 12.268 Prediction Error = -1.197 Percent = 12.268 Prediction Error = -1.26 Percent = 12.293 Prediction Error = -1.26 Percent = 12.293 Prediction Error = -1.323 Percent = 12.32 Prediction Error = -1.323 Percent = 12.32 Prediction Error = -1.448 Percent = 12.38 Prediction Error = -1.448 Percent = 12.38 Prediction Error = -1.511 Percent = 12.409 Prediction Error = -1.511 Percent = 12.409 Prediction Error = -1.574 Percent = 12.436 Prediction Error = -1.574 Percent = 12.436 Prediction Error = -1.636 Percent = 12.459 Prediction Error = -1.636 Percent = 12.459 Prediction Error = -1.699 Percent = 12.476 Prediction Error = -1.699 Percent = 12.476 Prediction Error = -1.762 Percent = 12.486 Prediction Error = -1.762 Percent = 12.486 Prediction Error = -1.824 Percent = 12.488 Prediction Error = -1.824 Percent = 12.488 Prediction Error = -1.887 Percent = 12.48 Prediction Error = -1.887 Percent = 12.48 Prediction Error = -1.95 Percent = 12.46 Prediction Error = -1.95 Percent = 12.46 Prediction Error = -2.012 Percent = 12.427 Prediction Error = -2.012 Percent = 12.427 Prediction Error = -2.075 Percent = 12.38 Prediction Error = -2.075 Percent = 12.38 Prediction Error = -2.138 Percent = 12.317 Prediction Error = -2.138 Percent = 12.317 Prediction Error = -2.201 Percent = 12.238 Prediction Error = -2.201 Percent = 12.238 Prediction Error = -2.263 Percent = 12.142 Prediction Error = -2.263 Percent = 12.142 Prediction Error = -2.326 Percent = 12.028 Prediction Error = -2.326 Percent = 12.028 Prediction Error = -2.389 Percent = 11.896 Prediction Error = -2.389 Percent = 11.896 Prediction Error = -2.451 Percent = 11.745 Prediction Error = -2.451 Percent = 11.745 Prediction Error = -2.514 Percent = 11.576 Prediction Error = -2.514 Percent = 11.576 Prediction Error = -2.577 Percent = 11.388 Prediction Error = -2.577 Percent = 11.388 Prediction Error = -2.64 Percent = 11.183 Prediction Error = -2.64 Percent = 11.183 Prediction Error = -2.702 Percent = 10.96 Prediction Error = -2.702 Percent = 10.96 Prediction Error = -2.765 Percent = 10.721 Prediction Error = -2.765 Percent = 10.721 Prediction Error = -2.828 Percent = 10.466 Prediction Error = -2.828 Percent = 10.466 Prediction Error = -2.89 Percent = 10.197 Prediction Error = -2.89 Percent = 10.197 Prediction Error = -2.953 Percent = 9.9147 Prediction Error = -2.953 Percent = 9.9147 Prediction Error = -3.016 Percent = 9.6203 Prediction Error = -3.016 Percent = 9.6203 Prediction Error = -3.141 Percent = 9.0015 Prediction Error = -3.141 Percent = 9.0015 Prediction Error = -3.517 Percent = 7.0177 Prediction Error = -3.517 Percent = 7.0177 Prediction Error = -3.705 Percent = 6.0285 Prediction Error = -3.705 Percent = 6.0285 Prediction Error = -3.831 Percent = 5.3939 Prediction Error = -3.831 Percent = 5.3939 Prediction Error = -3.956 Percent = 4.7884 Prediction Error = -3.956 Percent = 4.7884 Prediction Error = -4.019 Percent = 4.4985 Prediction Error = -4.019 Percent = 4.4985 Prediction Error = -4.082 Percent = 4.218 Prediction Error = -4.082 Percent = 4.218 Prediction Error = -4.144 Percent = 3.9474 Prediction Error = -4.144 Percent = 3.9474 Prediction Error = -4.207 Percent = 3.687 Prediction Error = -4.207 Percent = 3.687 Prediction Error = -4.27 Percent = 3.4372 Prediction Error = -4.27 Percent = 3.4372 Prediction Error = -4.333 Percent = 3.1981 Prediction Error = -4.333 Percent = 3.1981 Prediction Error = -4.395 Percent = 2.9699 Prediction Error = -4.395 Percent = 2.9699 Prediction Error = -4.458 Percent = 2.7526 Prediction Error = -4.458 Percent = 2.7526 Prediction Error = -4.521 Percent = 2.5462 Prediction Error = -4.521 Percent = 2.5462 Prediction Error = -4.583 Percent = 2.3506 Prediction Error = -4.583 Percent = 2.3506 Prediction Error = -4.646 Percent = 2.1656 Prediction Error = -4.646 Percent = 2.1656 Prediction Error = -4.709 Percent = 1.9912 Prediction Error = -4.709 Percent = 1.9912 Prediction Error = -4.771 Percent = 1.827 Prediction Error = -4.771 Percent = 1.827 Prediction Error = -4.834 Percent = 1.6728 Prediction Error = -4.834 Percent = 1.6728 Prediction Error = -4.897 Percent = 1.5284 Prediction Error = -4.897 Percent = 1.5284 Prediction Error = -4.96 Percent = 1.3934 Prediction Error = -4.96 Percent = 1.3934 Prediction Error = -5.022 Percent = 1.2676 Prediction Error = -5.022 Percent = 1.2676 Prediction Error = -5.085 Percent = 1.1505 Prediction Error = -5.085 Percent = 1.1505 Prediction Error = -5.148 Percent = 1.0418 Prediction Error = -5.148 Percent = 1.0418 Prediction Error = -5.21 Percent = 0.9412 Prediction Error = -5.21 Percent = 0.9412 Prediction Error = -5.273 Percent = 0.8482 Prediction Error = -5.273 Percent = 0.8482 Prediction Error = -5.336 Percent = 0.7626 Prediction Error = -5.336 Percent = 0.7626 Prediction Error = -5.399 Percent = 0.6839 Prediction Error = -5.399 Percent = 0.6839 Prediction Error = -5.461 Percent = 0.6118 Prediction Error = -5.461 Percent = 0.6118 Prediction Error = -5.524 Percent = 0.5458 Prediction Error = -5.524 Percent = 0.5458 Prediction Error = -5.587 Percent = 0.4857 Prediction Error = -5.587 Percent = 0.4857 Prediction Error = -5.649 Percent = 0.4311 Prediction Error = -5.649 Percent = 0.4311 Prediction Error = -5.712 Percent = 0.3815 Prediction Error = -5.712 Percent = 0.3815 Prediction Error = -5.775 Percent = 0.3367 Prediction Error = -5.775 Percent = 0.3367 Prediction Error = -5.837 Percent = 0.2963 Prediction Error = -5.837 Percent = 0.2963 Prediction Error = -5.9 Percent = 0.26 Prediction Error = -5.9 Percent = 0.26 Prediction Error = -5.963 Percent = 0.2275 Prediction Error = -5.963 Percent = 0.2275 Prediction Error = -6.026 Percent = 0.1985 Prediction Error = -6.026 Percent = 0.1985 Prediction Error = -6.088 Percent = 0.1727 Prediction Error = -6.088 Percent = 0.1727 Prediction Error = -6.151 Percent = 0.1497 Prediction Error = -6.151 Percent = 0.1497 Prediction Error = -6.214 Percent = 0.1294 Prediction Error = -6.214 Percent = 0.1294 Prediction Error = -6.276 Percent = 0.1115 Prediction Error = -6.276 Percent = 0.1115 Prediction Error = -6.339 Percent = 0.0958 Prediction Error = -6.339 Percent = 0.0958 Prediction Error = -6.402 Percent = 0.082 Prediction Error = -6.402 Percent = 0.082 Prediction Error = -6.465 Percent = 0.07 Prediction Error = -6.465 Percent = 0.07 Prediction Error = -6.527 Percent = 0.0596 Prediction Error = -6.527 Percent = 0.0596 Prediction Error = -6.59 Percent = 0.0505 Prediction Error = 6.1512 Percent = 0.2177 Prediction Error = 6.0895 Percent = 0.2383 Prediction Error = 6.0895 Percent = 0.2383 Prediction Error = 6.0278 Percent = 0.2606 Prediction Error = 6.0278 Percent = 0.2606 Prediction Error = 5.9661 Percent = 0.2848 Prediction Error = 5.9661 Percent = 0.2848 Prediction Error = 5.9044 Percent = 0.3109 Prediction Error = 5.9044 Percent = 0.3109 Prediction Error = 5.8427 Percent = 0.3391 Prediction Error = 5.8427 Percent = 0.3391 Prediction Error = 5.781 Percent = 0.3695 Prediction Error = 5.781 Percent = 0.3695 Prediction Error = 5.7193 Percent = 0.4022 Prediction Error = 5.7193 Percent = 0.4022 Prediction Error = 5.6576 Percent = 0.4375 Prediction Error = 5.6576 Percent = 0.4375 Prediction Error = 5.596 Percent = 0.4754 Prediction Error = 5.596 Percent = 0.4754 Prediction Error = 5.5343 Percent = 0.5161 Prediction Error = 5.5343 Percent = 0.5161 Prediction Error = 5.4726 Percent = 0.5598 Prediction Error = 5.4726 Percent = 0.5598 Prediction Error = 5.4109 Percent = 0.6066 Prediction Error = 5.4109 Percent = 0.6066 Prediction Error = 5.3492 Percent = 0.6568 Prediction Error = 5.3492 Percent = 0.6568 Prediction Error = 5.2875 Percent = 0.7104 Prediction Error = 5.2875 Percent = 0.7104 Prediction Error = 5.2258 Percent = 0.7677 Prediction Error = 5.2258 Percent = 0.7677 Prediction Error = 5.1641 Percent = 0.8289 Prediction Error = 5.1641 Percent = 0.8289 Prediction Error = 5.1024 Percent = 0.8941 Prediction Error = 5.1024 Percent = 0.8941 Prediction Error = 5.0407 Percent = 0.9636 Prediction Error = 5.0407 Percent = 0.9636 Prediction Error = 4.9791 Percent = 1.0376 Prediction Error = 4.9791 Percent = 1.0376 Prediction Error = 4.9174 Percent = 1.1161 Prediction Error = 4.9174 Percent = 1.1161 Prediction Error = 4.8557 Percent = 1.1996 Prediction Error = 4.8557 Percent = 1.1996 Prediction Error = 4.794 Percent = 1.288 Prediction Error = 4.794 Percent = 1.288 Prediction Error = 4.7323 Percent = 1.3818 Prediction Error = 4.7323 Percent = 1.3818 Prediction Error = 4.6706 Percent = 1.481 Prediction Error = 4.6706 Percent = 1.481 Prediction Error = 4.6089 Percent = 1.5858 Prediction Error = 4.6089 Percent = 1.5858 Prediction Error = 4.5472 Percent = 1.6966 Prediction Error = 4.5472 Percent = 1.6966 Prediction Error = 4.4855 Percent = 1.8134 Prediction Error = 4.4855 Percent = 1.8134 Prediction Error = 4.4238 Percent = 1.9364 Prediction Error = 4.4238 Percent = 1.9364 Prediction Error = 4.3621 Percent = 2.0659 Prediction Error = 4.3621 Percent = 2.0659 Prediction Error = 4.3005 Percent = 2.2021 Prediction Error = 4.3005 Percent = 2.2021 Prediction Error = 4.2388 Percent = 2.345 Prediction Error = 4.2388 Percent = 2.345 Prediction Error = 4.1771 Percent = 2.495 Prediction Error = 4.1771 Percent = 2.495 Prediction Error = 4.1154 Percent = 2.6521 Prediction Error = 4.1154 Percent = 2.6521 Prediction Error = 4.0537 Percent = 2.8165 Prediction Error = 4.0537 Percent = 2.8165 Prediction Error = 3.992 Percent = 2.9884 Prediction Error = 3.992 Percent = 2.9884 Prediction Error = 3.9303 Percent = 3.1678 Prediction Error = 3.9303 Percent = 3.1678 Prediction Error = 3.8686 Percent = 3.3549 Prediction Error = 3.8686 Percent = 3.3549 Prediction Error = 3.8069 Percent = 3.5498 Prediction Error = 3.8069 Percent = 3.5498 Prediction Error = 3.7452 Percent = 3.7526 Prediction Error = 3.7452 Percent = 3.7526 Prediction Error = 3.6836 Percent = 3.9634 Prediction Error = 3.6836 Percent = 3.9634 Prediction Error = 3.6219 Percent = 4.1821 Prediction Error = 3.6219 Percent = 4.1821 Prediction Error = 3.5602 Percent = 4.4089 Prediction Error = 3.5602 Percent = 4.4089 Prediction Error = 3.4985 Percent = 4.6436 Prediction Error = 3.4985 Percent = 4.6436 Prediction Error = 3.4368 Percent = 4.8864 Prediction Error = 3.4368 Percent = 4.8864 Prediction Error = 3.3751 Percent = 5.1372 Prediction Error = 3.3751 Percent = 5.1372 Prediction Error = 3.2517 Percent = 5.6624 Prediction Error = 3.2517 Percent = 5.6624 Prediction Error = 3.1283 Percent = 6.2184 Prediction Error = 3.1283 Percent = 6.2184 Prediction Error = 3.005 Percent = 6.8039 Prediction Error = 3.005 Percent = 6.8039 Prediction Error = 2.8816 Percent = 7.4173 Prediction Error = 2.8816 Percent = 7.4173 Prediction Error = 2.7582 Percent = 8.0564 Prediction Error = 2.7582 Percent = 8.0564 Prediction Error = 1.8328 Percent = 13.319 Prediction Error = 1.8328 Percent = 13.319 Prediction Error = 1.6478 Percent = 14.368 Prediction Error = 1.6478 Percent = 14.368 Prediction Error = 1.5244 Percent = 15.043 Prediction Error = 1.5244 Percent = 15.043 Prediction Error = 1.401 Percent = 15.692 Prediction Error = 1.401 Percent = 15.692 Prediction Error = 1.2776 Percent = 16.309 Prediction Error = 1.2776 Percent = 16.309 Prediction Error = 1.2159 Percent = 16.603 Prediction Error = 1.2159 Percent = 16.603 Prediction Error = 1.1542 Percent = 16.888 Prediction Error = 1.1542 Percent = 16.888 Prediction Error = 1.0926 Percent = 17.161 Prediction Error = 1.0926 Percent = 17.161 Prediction Error = 1.0309 Percent = 17.423 Prediction Error = 1.0309 Percent = 17.423 Prediction Error = 0.9692 Percent = 17.673 Prediction Error = 0.9692 Percent = 17.673 Prediction Error = 0.9075 Percent = 17.91 Prediction Error = 0.9075 Percent = 17.91 Prediction Error = 0.8458 Percent = 18.133 Prediction Error = 0.8458 Percent = 18.133 Prediction Error = 0.7841 Percent = 18.343 Prediction Error = 0.7841 Percent = 18.343 Prediction Error = 0.7224 Percent = 18.538 Prediction Error = 0.7224 Percent = 18.538 Prediction Error = 0.6607 Percent = 18.717 Prediction Error = 0.6607 Percent = 18.717 Prediction Error = 0.599 Percent = 18.881 Prediction Error = 0.599 Percent = 18.881 Prediction Error = 0.5373 Percent = 19.029 Prediction Error = 0.5373 Percent = 19.029 Prediction Error = 0.4757 Percent = 19.161 Prediction Error = 0.4757 Percent = 19.161 Prediction Error = 0.414 Percent = 19.275 Prediction Error = 0.414 Percent = 19.275 Prediction Error = 0.3523 Percent = 19.373 Prediction Error = 0.3523 Percent = 19.373 Prediction Error = 0.2906 Percent = 19.453 Prediction Error = 0.2906 Percent = 19.453 Prediction Error = 0.2289 Percent = 19.516 Prediction Error = 0.2289 Percent = 19.516 Prediction Error = 0.1672 Percent = 19.561 Prediction Error = 0.1672 Percent = 19.561 Prediction Error = 0.1055 Percent = 19.588 Prediction Error = 0.1055 Percent = 19.588 Prediction Error = 0.0438 Percent = 19.597 Prediction Error = 0.0438 Percent = 19.597 Prediction Error = -0.018 Percent = 19.588 Prediction Error = -0.018 Percent = 19.588 Prediction Error = -0.08 Percent = 19.561 Prediction Error = -0.08 Percent = 19.561 Prediction Error = -0.141 Percent = 19.516 Prediction Error = -0.141 Percent = 19.516 Prediction Error = -0.203 Percent = 19.453 Prediction Error = -0.203 Percent = 19.453 Prediction Error = -0.265 Percent = 19.373 Prediction Error = -0.265 Percent = 19.373 Prediction Error = -0.326 Percent = 19.275 Prediction Error = -0.326 Percent = 19.275 Prediction Error = -0.388 Percent = 19.161 Prediction Error = -0.388 Percent = 19.161 Prediction Error = -0.45 Percent = 19.029 Prediction Error = -0.45 Percent = 19.029 Prediction Error = -0.511 Percent = 18.881 Prediction Error = -0.511 Percent = 18.881 Prediction Error = -0.573 Percent = 18.717 Prediction Error = -0.573 Percent = 18.717 Prediction Error = -0.635 Percent = 18.538 Prediction Error = -0.635 Percent = 18.538 Prediction Error = -0.696 Percent = 18.343 Prediction Error = -0.696 Percent = 18.343 Prediction Error = -0.758 Percent = 18.133 Prediction Error = -0.758 Percent = 18.133 Prediction Error = -0.82 Percent = 17.91 Prediction Error = -0.82 Percent = 17.91 Prediction Error = -0.882 Percent = 17.673 Prediction Error = -0.882 Percent = 17.673 Prediction Error = -0.943 Percent = 17.423 Prediction Error = -0.943 Percent = 17.423 Prediction Error = -1.005 Percent = 17.161 Prediction Error = -1.005 Percent = 17.161 Prediction Error = -1.067 Percent = 16.888 Prediction Error = -1.067 Percent = 16.888 Prediction Error = -1.128 Percent = 16.603 Prediction Error = -1.128 Percent = 16.603 Prediction Error = -1.19 Percent = 16.309 Prediction Error = -1.19 Percent = 16.309 Prediction Error = -1.313 Percent = 15.692 Prediction Error = -1.313 Percent = 15.692 Prediction Error = -1.437 Percent = 15.043 Prediction Error = -1.437 Percent = 15.043 Prediction Error = -2.177 Percent = 10.808 Prediction Error = -2.177 Percent = 10.808 Prediction Error = -2.424 Percent = 9.4002 Prediction Error = -2.424 Percent = 9.4002 Prediction Error = -2.609 Percent = 8.3847 Prediction Error = -2.609 Percent = 8.3847 Prediction Error = -2.732 Percent = 7.7338 Prediction Error = -2.732 Percent = 7.7338 Prediction Error = -2.856 Percent = 7.1073 Prediction Error = -2.856 Percent = 7.1073 Prediction Error = -2.979 Percent = 6.5076 Prediction Error = -2.979 Percent = 6.5076 Prediction Error = -3.102 Percent = 5.9366 Prediction Error = -3.102 Percent = 5.9366 Prediction Error = -3.226 Percent = 5.3959 Prediction Error = -3.226 Percent = 5.3959 Prediction Error = -3.287 Percent = 5.1372 Prediction Error = -3.287 Percent = 5.1372 Prediction Error = -3.349 Percent = 4.8864 Prediction Error = -3.349 Percent = 4.8864 Prediction Error = -3.411 Percent = 4.6436 Prediction Error = -3.411 Percent = 4.6436 Prediction Error = -3.473 Percent = 4.4089 Prediction Error = -3.473 Percent = 4.4089 Prediction Error = -3.534 Percent = 4.1821 Prediction Error = -3.534 Percent = 4.1821 Prediction Error = -3.596 Percent = 3.9634 Prediction Error = -3.596 Percent = 3.9634 Prediction Error = -3.658 Percent = 3.7526 Prediction Error = -3.658 Percent = 3.7526 Prediction Error = -3.719 Percent = 3.5498 Prediction Error = -3.719 Percent = 3.5498 Prediction Error = -3.781 Percent = 3.3549 Prediction Error = -3.781 Percent = 3.3549 Prediction Error = -3.843 Percent = 3.1678 Prediction Error = -3.843 Percent = 3.1678 Prediction Error = -3.904 Percent = 2.9884 Prediction Error = -3.904 Percent = 2.9884 Prediction Error = -3.966 Percent = 2.8165 Prediction Error = -3.966 Percent = 2.8165 Prediction Error = -4.028 Percent = 2.6521 Prediction Error = -4.028 Percent = 2.6521 Prediction Error = -4.089 Percent = 2.495 Prediction Error = -4.089 Percent = 2.495 Prediction Error = -4.151 Percent = 2.345 Prediction Error = -4.151 Percent = 2.345 Prediction Error = -4.213 Percent = 2.2021 Prediction Error = -4.213 Percent = 2.2021 Prediction Error = -4.275 Percent = 2.0659 Prediction Error = -4.275 Percent = 2.0659 Prediction Error = -4.336 Percent = 1.9364 Prediction Error = -4.336 Percent = 1.9364 Prediction Error = -4.398 Percent = 1.8134 Prediction Error = -4.398 Percent = 1.8134 Prediction Error = -4.46 Percent = 1.6966 Prediction Error = -4.46 Percent = 1.6966 Prediction Error = -4.521 Percent = 1.5858 Prediction Error = -4.521 Percent = 1.5858 Prediction Error = -4.583 Percent = 1.481 Prediction Error = -4.583 Percent = 1.481 Prediction Error = -4.645 Percent = 1.3818 Prediction Error = -4.645 Percent = 1.3818 Prediction Error = -4.706 Percent = 1.288 Prediction Error = -4.706 Percent = 1.288 Prediction Error = -4.768 Percent = 1.1996 Prediction Error = -4.768 Percent = 1.1996 Prediction Error = -4.83 Percent = 1.1161 Prediction Error = -4.83 Percent = 1.1161 Prediction Error = -4.891 Percent = 1.0376 Prediction Error = -4.891 Percent = 1.0376 Prediction Error = -4.953 Percent = 0.9636 Prediction Error = -4.953 Percent = 0.9636 Prediction Error = -5.015 Percent = 0.8941 Prediction Error = -5.015 Percent = 0.8941 Prediction Error = -5.076 Percent = 0.8289 Prediction Error = -5.076 Percent = 0.8289 Prediction Error = -5.138 Percent = 0.7677 Prediction Error = -5.138 Percent = 0.7677 Prediction Error = -5.2 Percent = 0.7104 Prediction Error = -5.2 Percent = 0.7104 Prediction Error = -5.262 Percent = 0.6568 Prediction Error = -5.262 Percent = 0.6568 Prediction Error = -5.323 Percent = 0.6066 Prediction Error = -5.323 Percent = 0.6066 Prediction Error = -5.385 Percent = 0.5598 Prediction Error = -5.385 Percent = 0.5598 Prediction Error = -5.447 Percent = 0.5161 Prediction Error = -5.447 Percent = 0.5161 Prediction Error = -5.508 Percent = 0.4754 Prediction Error = -5.508 Percent = 0.4754 Prediction Error = -5.57 Percent = 0.4375 Prediction Error = -5.57 Percent = 0.4375 Prediction Error = -5.632 Percent = 0.4022 Prediction Error = -5.632 Percent = 0.4022 Prediction Error = -5.693 Percent = 0.3695 Prediction Error = -5.693 Percent = 0.3695 Prediction Error = -5.755 Percent = 0.3391 Prediction Error = -5.755 Percent = 0.3391 Prediction Error = -5.817 Percent = 0.3109 Prediction Error = -5.817 Percent = 0.3109 Prediction Error = -5.878 Percent = 0.2848 Prediction Error = -5.878 Percent = 0.2848 Prediction Error = -5.94 Percent = 0.2606 Prediction Error = -5.94 Percent = 0.2606 Prediction Error = -6.002 Percent = 0.2383 Prediction Error = -6.002 Percent = 0.2383 Prediction Error = -6.064 Percent = 0.2177 Prediction Error = 4 Percent = 2.6667 Prediction Error = 4 Percent = 2.6667 Prediction Error = 3 Percent = 4.4444 Prediction Error = 3 Percent = 4.4444 Prediction Error = 2 Percent = 29.778 Prediction Error = 2 Percent = 29.778 Prediction Error = 1 Percent = 8.4444 Prediction Error = 1 Percent = 8.4444 Prediction Error = 0 Percent = 16.444 Prediction Error = 0 Percent = 16.444 Prediction Error = -1 Percent = 9.3333 Prediction Error = -1 Percent = 9.3333 Prediction Error = -2 Percent = 16.444 Prediction Error = -2 Percent = 16.444 Prediction Error = -3 Percent = 9.3333 Prediction Error = -3 Percent = 9.3333 Prediction Error = -4 Percent = 3.1111 Prediction Error = -4 Percent = 3.1111 Quantile = 2.7733 Residual = 4.0072 Quantile = 2.4464 Residual = 4.0021 Quantile = 2.2684 Residual = 4 Quantile = 2.1421 Residual = 3.9918 Quantile = 2.0429 Residual = 3.6509 Quantile = 1.9604 Residual = 3.6075 Quantile = 1.8895 Residual = 3.2133 Quantile = 1.827 Residual = 3.1949 Quantile = 1.7709 Residual = 2.9156 Quantile = 1.7198 Residual = 2.8442 Quantile = 1.6729 Residual = 2.7278 Quantile = 1.6294 Residual = 2.701 Quantile = 1.5888 Residual = 2.6638 Quantile = 1.5507 Residual = 2.6515 Quantile = 1.5147 Residual = 2.5372 Quantile = 1.4805 Residual = 2.5302 Quantile = 1.448 Residual = 2.4676 Quantile = 1.417 Residual = 2.4162 Quantile = 1.3872 Residual = 2.3907 Quantile = 1.3587 Residual = 2.3044 Quantile = 1.3312 Residual = 2.3022 Quantile = 1.3047 Residual = 2.2875 Quantile = 1.279 Residual = 2.2744 Quantile = 1.2542 Residual = 2.1996 Quantile = 1.2301 Residual = 2.1836 Quantile = 1.2068 Residual = 2.1522 Quantile = 1.184 Residual = 2.1509 Quantile = 1.1619 Residual = 2.1431 Quantile = 1.1403 Residual = 2.1231 Quantile = 1.1192 Residual = 2.1169 Quantile = 1.0987 Residual = 2.0882 Quantile = 1.0785 Residual = 2.0877 Quantile = 1.0588 Residual = 2.0741 Quantile = 1.0395 Residual = 2.0666 Quantile = 1.0206 Residual = 2.0644 Quantile = 1.0021 Residual = 2.0493 Quantile = 0.9838 Residual = 2.031 Quantile = 0.9659 Residual = 2.0246 Quantile = 0.9483 Residual = 2.0112 Quantile = 0.931 Residual = 2.0062 Quantile = 0.914 Residual = 1.9999 Quantile = 0.8972 Residual = 1.9968 Quantile = 0.8807 Residual = 1.9922 Quantile = 0.8644 Residual = 1.9908 Quantile = 0.8484 Residual = 1.9794 Quantile = 0.8325 Residual = 1.9761 Quantile = 0.8169 Residual = 1.9736 Quantile = 0.8015 Residual = 1.9639 Quantile = 0.7862 Residual = 1.961 Quantile = 0.7711 Residual = 1.9482 Quantile = 0.7562 Residual = 1.9465 Quantile = 0.7415 Residual = 1.9187 Quantile = 0.7269 Residual = 1.8755 Quantile = 0.7125 Residual = 1.8592 Quantile = 0.6983 Residual = 1.8484 Quantile = 0.6841 Residual = 1.845 Quantile = 0.6701 Residual = 1.8244 Quantile = 0.6563 Residual = 1.8194 Quantile = 0.6425 Residual = 1.8174 Quantile = 0.6289 Residual = 1.8053 Quantile = 0.6154 Residual = 1.7801 Quantile = 0.602 Residual = 1.7745 Quantile = 0.5887 Residual = 1.7528 Quantile = 0.5755 Residual = 1.7397 Quantile = 0.5625 Residual = 1.7326 Quantile = 0.5495 Residual = 1.7288 Quantile = 0.5366 Residual = 1.7275 Quantile = 0.5238 Residual = 1.7236 Quantile = 0.511 Residual = 1.7193 Quantile = 0.4984 Residual = 1.6615 Quantile = 0.4858 Residual = 1.6491 Quantile = 0.4734 Residual = 1.6375 Quantile = 0.4609 Residual = 1.6223 Quantile = 0.4486 Residual = 1.6061 Quantile = 0.4363 Residual = 1.5867 Quantile = 0.4241 Residual = 1.5773 Quantile = 0.412 Residual = 1.5655 Quantile = 0.3999 Residual = 1.5488 Quantile = 0.3879 Residual = 1.5442 Quantile = 0.3759 Residual = 1.5434 Quantile = 0.364 Residual = 1.5169 Quantile = 0.3521 Residual = 1.5137 Quantile = 0.3403 Residual = 1.5036 Quantile = 0.3285 Residual = 1.3933 Quantile = 0.3168 Residual = 1.3507 Quantile = 0.3051 Residual = 1.3221 Quantile = 0.2935 Residual = 1.3199 Quantile = 0.2819 Residual = 1.2927 Quantile = 0.2703 Residual = 1.237 Quantile = 0.2588 Residual = 1.224 Quantile = 0.2473 Residual = 1.1958 Quantile = 0.2359 Residual = 1.0872 Quantile = 0.2244 Residual = 1.0813 Quantile = 0.213 Residual = 1.0742 Quantile = 0.2017 Residual = 1.0711 Quantile = 0.1903 Residual = 1.0021 Quantile = 0.179 Residual = 1 Quantile = 0.1677 Residual = 0.9978 Quantile = 0.1564 Residual = 0.9852 Quantile = 0.1452 Residual = 0.9584 Quantile = 0.1339 Residual = 0.9317 Quantile = 0.1227 Residual = 0.8343 Quantile = 0.1115 Residual = 0.4705 Quantile = 0.1003 Residual = 0.4078 Quantile = 0.0891 Residual = 0.3821 Quantile = 0.078 Residual = 0.3245 Quantile = 0.0668 Residual = 0.3244 Quantile = 0.0557 Residual = 0.2742 Quantile = 0.0445 Residual = 0.2677 Quantile = 0.0334 Residual = 0.2653 Quantile = 0.0223 Residual = 0.0114 Quantile = 0.0111 Residual = 0.0102 Quantile = 0 Residual = 0.0083 Quantile = -0.011 Residual = 0.0062 Quantile = -0.022 Residual = 0.004 Quantile = -0.033 Residual = 0.0016 Quantile = -0.045 Residual = 0.0015 Quantile = -0.056 Residual = 9.7E-6 Quantile = -0.067 Residual = -97E-7 Quantile = -0.078 Residual = -97E-7 Quantile = -0.089 Residual = -0.001 Quantile = -0.1 Residual = -0.003 Quantile = -0.112 Residual = -0.006 Quantile = -0.123 Residual = -0.006 Quantile = -0.134 Residual = -0.006 Quantile = -0.145 Residual = -0.006 Quantile = -0.156 Residual = -0.007 Quantile = -0.168 Residual = -0.045 Quantile = -0.179 Residual = -0.158 Quantile = -0.19 Residual = -0.176 Quantile = -0.202 Residual = -0.199 Quantile = -0.213 Residual = -0.203 Quantile = -0.224 Residual = -0.221 Quantile = -0.236 Residual = -0.222 Quantile = -0.247 Residual = -0.271 Quantile = -0.259 Residual = -0.326 Quantile = -0.27 Residual = -0.343 Quantile = -0.282 Residual = -0.355 Quantile = -0.293 Residual = -0.496 Quantile = -0.305 Residual = -0.507 Quantile = -0.317 Residual = -0.512 Quantile = -0.329 Residual = -0.567 Quantile = -0.34 Residual = -0.823 Quantile = -0.352 Residual = -0.845 Quantile = -0.364 Residual = -0.886 Quantile = -0.376 Residual = -1 Quantile = -0.388 Residual = -1.02 Quantile = -0.4 Residual = -1.021 Quantile = -0.412 Residual = -1.086 Quantile = -0.424 Residual = -1.143 Quantile = -0.436 Residual = -1.152 Quantile = -0.449 Residual = -1.182 Quantile = -0.461 Residual = -1.199 Quantile = -0.473 Residual = -1.227 Quantile = -0.486 Residual = -1.244 Quantile = -0.498 Residual = -1.289 Quantile = -0.511 Residual = -1.35 Quantile = -0.524 Residual = -1.378 Quantile = -0.537 Residual = -1.41 Quantile = -0.549 Residual = -1.424 Quantile = -0.562 Residual = -1.825 Quantile = -0.576 Residual = -1.843 Quantile = -0.589 Residual = -1.866 Quantile = -0.602 Residual = -1.896 Quantile = -0.615 Residual = -1.933 Quantile = -0.629 Residual = -1.965 Quantile = -0.643 Residual = -1.983 Quantile = -0.656 Residual = -1.983 Quantile = -0.67 Residual = -1.998 Quantile = -0.684 Residual = -2.019 Quantile = -0.698 Residual = -2.074 Quantile = -0.713 Residual = -2.08 Quantile = -0.727 Residual = -2.082 Quantile = -0.742 Residual = -2.09 Quantile = -0.756 Residual = -2.13 Quantile = -0.771 Residual = -2.148 Quantile = -0.786 Residual = -2.159 Quantile = -0.801 Residual = -2.163 Quantile = -0.817 Residual = -2.176 Quantile = -0.833 Residual = -2.176 Quantile = -0.848 Residual = -2.218 Quantile = -0.864 Residual = -2.231 Quantile = -0.881 Residual = -2.231 Quantile = -0.897 Residual = -2.246 Quantile = -0.914 Residual = -2.277 Quantile = -0.931 Residual = -2.297 Quantile = -0.948 Residual = -2.304 Quantile = -0.966 Residual = -2.322 Quantile = -0.984 Residual = -2.403 Quantile = -1.002 Residual = -2.404 Quantile = -1.021 Residual = -2.404 Quantile = -1.04 Residual = -2.424 Quantile = -1.059 Residual = -2.436 Quantile = -1.079 Residual = -2.481 Quantile = -1.099 Residual = -2.484 Quantile = -1.119 Residual = -2.494 Quantile = -1.14 Residual = -2.498 Quantile = -1.162 Residual = -2.525 Quantile = -1.184 Residual = -2.601 Quantile = -1.207 Residual = -2.605 Quantile = -1.23 Residual = -2.608 Quantile = -1.254 Residual = -2.611 Quantile = -1.279 Residual = -2.651 Quantile = -1.305 Residual = -2.661 Quantile = -1.331 Residual = -2.663 Quantile = -1.359 Residual = -2.687 Quantile = -1.387 Residual = -2.691 Quantile = -1.417 Residual = -2.773 Quantile = -1.448 Residual = -2.883 Quantile = -1.481 Residual = -2.9 Quantile = -1.515 Residual = -2.935 Quantile = -1.551 Residual = -3.018 Quantile = -1.589 Residual = -3.062 Quantile = -1.629 Residual = -3.118 Quantile = -1.673 Residual = -3.163 Quantile = -1.72 Residual = -3.183 Quantile = -1.771 Residual = -3.185 Quantile = -1.827 Residual = -3.3 Quantile = -1.89 Residual = -3.741 Quantile = -1.96 Residual = -3.98 Quantile = -2.043 Residual = -3.989 Quantile = -2.142 Residual = -3.997 Quantile = -2.268 Residual = -4 Quantile = -2.446 Residual = -4 Quantile = -2.773 Residual = -4.019 Slope = 2.0358 Y = 0.0438 Lag = 24 ACF = -0.049 Lag = 23 ACF = -0.032 Lag = 22 ACF = 0.0152 Lag = 21 ACF = -0.062 Lag = 20 ACF = -0.044 Lag = 19 ACF = -0.013 Lag = 18 ACF = -0.04 Lag = 17 ACF = -0.005 Lag = 16 ACF = -0.007 Lag = 15 ACF = -0.012 Lag = 14 ACF = 0.0243 Lag = 13 ACF = 0.0735 Lag = 12 ACF = 0.0172 Lag = 11 ACF = -0.071 Lag = 10 ACF = -0.057 Lag = 9 ACF = 0.0233 Lag = 8 ACF = -0.012 Lag = 7 ACF = -0.015 Lag = 6 ACF = -0.088 Lag = 5 ACF = -0.03 Lag = 4 ACF = 0.0579 Lag = 3 ACF = -0.074 Lag = 2 ACF = -0.068 Lag = 1 ACF = -0.004 Lag = 0 ACF = 1 Lag = 24 Lower = -0.139 Upper = 0.1394 Lag = 23 Lower = -0.139 Upper = 0.1393 Lag = 23 Lower = -0.139 Upper = 0.1393 Lag = 22 Lower = -0.139 Upper = 0.1392 Lag = 22 Lower = -0.139 Upper = 0.1392 Lag = 21 Lower = -0.139 Upper = 0.1388 Lag = 21 Lower = -0.139 Upper = 0.1388 Lag = 20 Lower = -0.139 Upper = 0.1385 Lag = 20 Lower = -0.139 Upper = 0.1385 Lag = 19 Lower = -0.138 Upper = 0.1385 Lag = 19 Lower = -0.138 Upper = 0.1385 Lag = 18 Lower = -0.138 Upper = 0.1383 Lag = 18 Lower = -0.138 Upper = 0.1383 Lag = 17 Lower = -0.138 Upper = 0.1383 Lag = 17 Lower = -0.138 Upper = 0.1383 Lag = 16 Lower = -0.138 Upper = 0.1383 Lag = 16 Lower = -0.138 Upper = 0.1383 Lag = 15 Lower = -0.138 Upper = 0.1382 Lag = 15 Lower = -0.138 Upper = 0.1382 Lag = 14 Lower = -0.138 Upper = 0.1382 Lag = 14 Lower = -0.138 Upper = 0.1382 Lag = 13 Lower = -0.137 Upper = 0.1375 Lag = 13 Lower = -0.137 Upper = 0.1375 Lag = 12 Lower = -0.137 Upper = 0.1374 Lag = 12 Lower = -0.137 Upper = 0.1374 Lag = 11 Lower = -0.137 Upper = 0.1368 Lag = 11 Lower = -0.137 Upper = 0.1368 Lag = 10 Lower = -0.136 Upper = 0.1364 Lag = 10 Lower = -0.136 Upper = 0.1364 Lag = 9 Lower = -0.136 Upper = 0.1363 Lag = 9 Lower = -0.136 Upper = 0.1363 Lag = 8 Lower = -0.136 Upper = 0.1363 Lag = 8 Lower = -0.136 Upper = 0.1363 Lag = 7 Lower = -0.136 Upper = 0.1362 Lag = 7 Lower = -0.136 Upper = 0.1362 Lag = 6 Lower = -0.135 Upper = 0.1352 Lag = 6 Lower = -0.135 Upper = 0.1352 Lag = 5 Lower = -0.135 Upper = 0.1351 Lag = 5 Lower = -0.135 Upper = 0.1351 Lag = 4 Lower = -0.135 Upper = 0.1347 Lag = 4 Lower = -0.135 Upper = 0.1347 Lag = 3 Lower = -0.134 Upper = 0.1339 Lag = 3 Lower = -0.134 Upper = 0.1339 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = -0.057 Lag = 23 PACF = -0.048 Lag = 22 PACF = 0.0022 Lag = 21 PACF = -0.079 Lag = 20 PACF = -0.048 Lag = 19 PACF = -0.006 Lag = 18 PACF = -0.043 Lag = 17 PACF = -0.022 Lag = 16 PACF = -0.012 Lag = 15 PACF = 0.0027 Lag = 14 PACF = 0.0177 Lag = 13 PACF = 0.0505 Lag = 12 PACF = 0.0049 Lag = 11 PACF = -0.08 Lag = 10 PACF = -0.055 Lag = 9 PACF = 0.0114 Lag = 8 PACF = -0.032 Lag = 7 PACF = -0.012 Lag = 6 PACF = -0.088 Lag = 5 PACF = -0.039 Lag = 4 PACF = 0.0528 Lag = 3 PACF = -0.075 Lag = 2 PACF = -0.068 Lag = 1 PACF = -0.004 Lag = 24 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Aug2019 Loess Fit = 0.0152 Date_of_death = Jul2019 Loess Fit = 0.0146 Date_of_death = Jul2019 Loess Fit = 0.0146 Date_of_death = Jun2019 Loess Fit = 0.014 Date_of_death = Jun2019 Loess Fit = 0.014 Date_of_death = May2019 Loess Fit = 0.0133 Date_of_death = May2019 Loess Fit = 0.0133 Date_of_death = Apr2019 Loess Fit = 0.0127 Date_of_death = Apr2019 Loess Fit = 0.0127 Date_of_death = Mar2019 Loess Fit = 0.0121 Date_of_death = Mar2019 Loess Fit = 0.0121 Date_of_death = Feb2019 Loess Fit = 0.0115 Date_of_death = Feb2019 Loess Fit = 0.0115 Date_of_death = Jan2019 Loess Fit = 0.0109 Date_of_death = Jan2019 Loess Fit = 0.0109 Date_of_death = Dec2018 Loess Fit = 0.0103 Date_of_death = Dec2018 Loess Fit = 0.0103 Date_of_death = Oct2018 Loess Fit = 0.0097 Date_of_death = Oct2018 Loess Fit = 0.0097 Date_of_death = Sep2018 Loess Fit = 0.0091 Date_of_death = Sep2018 Loess Fit = 0.0091 Date_of_death = Aug2018 Loess Fit = 0.0085 Date_of_death = Aug2018 Loess Fit = 0.0085 Date_of_death = Jul2018 Loess Fit = 0.0079 Date_of_death = Jul2018 Loess Fit = 0.0079 Date_of_death = Jun2018 Loess Fit = 0.0073 Date_of_death = Jun2018 Loess Fit = 0.0073 Date_of_death = May2018 Loess Fit = 0.0067 Date_of_death = May2018 Loess Fit = 0.0067 Date_of_death = Apr2018 Loess Fit = 0.0061 Date_of_death = Apr2018 Loess Fit = 0.0061 Date_of_death = Mar2018 Loess Fit = 0.0055 Date_of_death = Mar2018 Loess Fit = 0.0055 Date_of_death = Jan2018 Loess Fit = 0.0049 Date_of_death = Jan2018 Loess Fit = 0.0049 Date_of_death = Dec2017 Loess Fit = 0.0043 Date_of_death = Dec2017 Loess Fit = 0.0043 Date_of_death = Nov2017 Loess Fit = 0.0037 Date_of_death = Nov2017 Loess Fit = 0.0037 Date_of_death = Oct2017 Loess Fit = 0.0031 Date_of_death = Oct2017 Loess Fit = 0.0031 Date_of_death = Sep2017 Loess Fit = 0.0025 Date_of_death = Sep2017 Loess Fit = 0.0025 Date_of_death = Aug2017 Loess Fit = 0.0019 Date_of_death = Aug2017 Loess Fit = 0.0019 Date_of_death = Jul2017 Loess Fit = 0.0013 Date_of_death = Jul2017 Loess Fit = 0.0013 Date_of_death = Jun2017 Loess Fit = .00069 Date_of_death = Jun2017 Loess Fit = .00069 Date_of_death = May2017 Loess Fit = 9.2E-5 Date_of_death = May2017 Loess Fit = 9.2E-5 Date_of_death = Mar2017 Loess Fit = -18E-5 Date_of_death = Mar2017 Loess Fit = -18E-5 Date_of_death = Feb2017 Loess Fit = -44E-5 Date_of_death = Feb2017 Loess Fit = -44E-5 Date_of_death = Jan2017 Loess Fit = -.0007 Date_of_death = Jan2017 Loess Fit = -.0007 Date_of_death = Dec2016 Loess Fit = -97E-5 Date_of_death = Dec2016 Loess Fit = -97E-5 Date_of_death = Nov2016 Loess Fit = -0.001 Date_of_death = Nov2016 Loess Fit = -0.001 Date_of_death = Oct2016 Loess Fit = -0.001 Date_of_death = Oct2016 Loess Fit = -0.001 Date_of_death = Sep2016 Loess Fit = -0.002 Date_of_death = Sep2016 Loess Fit = -0.002 Date_of_death = Aug2016 Loess Fit = -0.002 Date_of_death = Aug2016 Loess Fit = -0.002 Date_of_death = Jun2016 Loess Fit = -0.002 Date_of_death = Jun2016 Loess Fit = -0.002 Date_of_death = May2016 Loess Fit = -0.003 Date_of_death = May2016 Loess Fit = -0.003 Date_of_death = Apr2016 Loess Fit = -0.003 Date_of_death = Apr2016 Loess Fit = -0.003 Date_of_death = Mar2016 Loess Fit = -0.003 Date_of_death = Mar2016 Loess Fit = -0.003 Date_of_death = Feb2016 Loess Fit = -0.003 Date_of_death = Feb2016 Loess Fit = -0.003 Date_of_death = Jan2016 Loess Fit = -0.004 Date_of_death = Jan2016 Loess Fit = -0.004 Date_of_death = Dec2015 Loess Fit = -0.004 Date_of_death = Dec2015 Loess Fit = -0.004 Date_of_death = Nov2015 Loess Fit = -0.004 Date_of_death = Nov2015 Loess Fit = -0.004 Date_of_death = Sep2015 Loess Fit = -0.004 Date_of_death = Sep2015 Loess Fit = -0.004 Date_of_death = Aug2015 Loess Fit = -0.005 Date_of_death = Aug2015 Loess Fit = -0.005 Date_of_death = Jul2015 Loess Fit = -0.005 Date_of_death = Jul2015 Loess Fit = -0.005 Date_of_death = Jun2015 Loess Fit = -0.005 Date_of_death = Jun2015 Loess Fit = -0.005 Date_of_death = May2015 Loess Fit = -0.005 Date_of_death = May2015 Loess Fit = -0.005 Date_of_death = Apr2015 Loess Fit = -0.006 Date_of_death = Apr2015 Loess Fit = -0.006 Date_of_death = Mar2015 Loess Fit = -0.006 Date_of_death = Mar2015 Loess Fit = -0.006 Date_of_death = Feb2015 Loess Fit = -0.006 Date_of_death = Feb2015 Loess Fit = -0.006 Date_of_death = Dec2014 Loess Fit = -0.006 Date_of_death = Dec2014 Loess Fit = -0.006 Date_of_death = Nov2014 Loess Fit = -0.007 Date_of_death = Nov2014 Loess Fit = -0.007 Date_of_death = Oct2014 Loess Fit = -0.007 Date_of_death = Oct2014 Loess Fit = -0.007 Date_of_death = Sep2014 Loess Fit = -0.007 Date_of_death = Sep2014 Loess Fit = -0.007 Date_of_death = Aug2014 Loess Fit = -0.008 Date_of_death = Aug2014 Loess Fit = -0.008 Date_of_death = Jul2014 Loess Fit = -0.008 Date_of_death = Jul2014 Loess Fit = -0.008 Date_of_death = Jun2014 Loess Fit = -0.009 Date_of_death = Jun2014 Loess Fit = -0.009 Date_of_death = May2014 Loess Fit = -0.009 Date_of_death = May2014 Loess Fit = -0.009 Date_of_death = Apr2014 Loess Fit = -0.009 Date_of_death = Apr2014 Loess Fit = -0.009 Date_of_death = Feb2014 Loess Fit = -0.01 Date_of_death = Feb2014 Loess Fit = -0.01 Date_of_death = Jan2014 Loess Fit = -0.01 Date_of_death = Jan2014 Loess Fit = -0.01 Date_of_death = Dec2013 Loess Fit = -0.01 Date_of_death = Dec2013 Loess Fit = -0.01 Date_of_death = Nov2013 Loess Fit = -0.011 Date_of_death = Nov2013 Loess Fit = -0.011 Date_of_death = Oct2013 Loess Fit = -0.011 Date_of_death = Oct2013 Loess Fit = -0.011 Date_of_death = Sep2013 Loess Fit = -0.011 Date_of_death = Sep2013 Loess Fit = -0.011 Date_of_death = Aug2013 Loess Fit = -0.012 Date_of_death = Aug2013 Loess Fit = -0.012 Date_of_death = Jul2013 Loess Fit = -0.012 Date_of_death = Jul2013 Loess Fit = -0.012 Date_of_death = May2013 Loess Fit = -0.012 Date_of_death = May2013 Loess Fit = -0.012 Date_of_death = Apr2013 Loess Fit = -0.013 Date_of_death = Apr2013 Loess Fit = -0.013 Date_of_death = Mar2013 Loess Fit = -0.013 Date_of_death = Mar2013 Loess Fit = -0.013 Date_of_death = Feb2013 Loess Fit = -0.013 Date_of_death = Feb2013 Loess Fit = -0.013 Date_of_death = Jan2013 Loess Fit = -0.014 Date_of_death = Jan2013 Loess Fit = -0.014 Date_of_death = Dec2012 Loess Fit = -0.014 Date_of_death = Dec2012 Loess Fit = -0.014 Date_of_death = Nov2012 Loess Fit = -0.014 Date_of_death = Nov2012 Loess Fit = -0.014 Date_of_death = Oct2012 Loess Fit = -0.015 Date_of_death = Oct2012 Loess Fit = -0.015 Date_of_death = Aug2012 Loess Fit = -0.015 Date_of_death = Aug2012 Loess Fit = -0.015 Date_of_death = Jul2012 Loess Fit = -0.015 Date_of_death = Jul2012 Loess Fit = -0.015 Date_of_death = Jun2012 Loess Fit = -0.015 Date_of_death = Jun2012 Loess Fit = -0.015 Date_of_death = May2012 Loess Fit = -0.015 Date_of_death = May2012 Loess Fit = -0.015 Date_of_death = Apr2012 Loess Fit = -0.016 Date_of_death = Apr2012 Loess Fit = -0.016 Date_of_death = Mar2012 Loess Fit = -0.016 Date_of_death = Mar2012 Loess Fit = -0.016 Date_of_death = Feb2012 Loess Fit = -0.016 Date_of_death = Feb2012 Loess Fit = -0.016 Date_of_death = Jan2012 Loess Fit = -0.016 Date_of_death = Jan2012 Loess Fit = -0.016 Date_of_death = Dec2011 Loess Fit = -0.016 Date_of_death = Dec2011 Loess Fit = -0.016 Date_of_death = Oct2011 Loess Fit = -0.016 Date_of_death = Oct2011 Loess Fit = -0.016 Date_of_death = Sep2011 Loess Fit = -0.016 Date_of_death = Sep2011 Loess Fit = -0.016 Date_of_death = Aug2011 Loess Fit = -0.017 Date_of_death = Aug2011 Loess Fit = -0.017 Date_of_death = Jul2011 Loess Fit = -0.017 Date_of_death = Jul2011 Loess Fit = -0.017 Date_of_death = Jun2011 Loess Fit = -0.017 Date_of_death = Jun2011 Loess Fit = -0.017 Date_of_death = May2011 Loess Fit = -0.017 Date_of_death = May2011 Loess Fit = -0.017 Date_of_death = Apr2011 Loess Fit = -0.017 Date_of_death = Apr2011 Loess Fit = -0.017 Date_of_death = Mar2011 Loess Fit = -0.017 Date_of_death = Mar2011 Loess Fit = -0.017 Date_of_death = Jan2011 Loess Fit = -0.018 Date_of_death = Jan2011 Loess Fit = -0.018 Date_of_death = Dec2010 Loess Fit = -0.018 Date_of_death = Dec2010 Loess Fit = -0.018 Date_of_death = Nov2010 Loess Fit = -0.018 Date_of_death = Nov2010 Loess Fit = -0.018 Date_of_death = Oct2010 Loess Fit = -0.018 Date_of_death = Oct2010 Loess Fit = -0.018 Date_of_death = Sep2010 Loess Fit = -0.018 Date_of_death = Sep2010 Loess Fit = -0.018 Date_of_death = Aug2010 Loess Fit = -0.018 Date_of_death = Aug2010 Loess Fit = -0.018 Date_of_death = Jul2010 Loess Fit = -0.018 Date_of_death = Jul2010 Loess Fit = -0.018 Date_of_death = Jun2010 Loess Fit = -0.019 Date_of_death = Jun2010 Loess Fit = -0.019 Date_of_death = May2010 Loess Fit = -0.019 Date_of_death = May2010 Loess Fit = -0.019 Date_of_death = Mar2010 Loess Fit = -0.016 Date_of_death = Mar2010 Loess Fit = -0.016 Date_of_death = Feb2010 Loess Fit = -0.013 Date_of_death = Feb2010 Loess Fit = -0.013 Date_of_death = Jan2010 Loess Fit = -0.01 Date_of_death = Jan2010 Loess Fit = -0.01 Date_of_death = Dec2009 Loess Fit = -0.007 Date_of_death = Dec2009 Loess Fit = -0.007 Date_of_death = Nov2009 Loess Fit = -0.004 Date_of_death = Nov2009 Loess Fit = -0.004 Date_of_death = Oct2009 Loess Fit = -0.001 Date_of_death = Oct2009 Loess Fit = -0.001 Date_of_death = Sep2009 Loess Fit = 0.0017 Date_of_death = Sep2009 Loess Fit = 0.0017 Date_of_death = Aug2009 Loess Fit = 0.0046 Date_of_death = Aug2009 Loess Fit = 0.0046 Date_of_death = Jun2009 Loess Fit = 0.0075 Date_of_death = Jun2009 Loess Fit = 0.0075 Date_of_death = May2009 Loess Fit = 0.0105 Date_of_death = May2009 Loess Fit = 0.0105 Date_of_death = Apr2009 Loess Fit = 0.0134 Date_of_death = Apr2009 Loess Fit = 0.0134 Date_of_death = Mar2009 Loess Fit = 0.0163 Date_of_death = Mar2009 Loess Fit = 0.0163 Date_of_death = Feb2009 Loess Fit = 0.0193 Date_of_death = Feb2009 Loess Fit = 0.0193 Date_of_death = Jan2009 Loess Fit = 0.0222 Date_of_death = Jan2009 Loess Fit = 0.0222 Date_of_death = Dec2008 Loess Fit = 0.0252 Date_of_death = Dec2008 Loess Fit = 0.0252 Date_of_death = Nov2008 Loess Fit = 0.0281 Date_of_death = Nov2008 Loess Fit = 0.0281 Date_of_death = Sep2008 Loess Fit = 0.031 Date_of_death = Sep2008 Loess Fit = 0.031 Date_of_death = Aug2008 Loess Fit = 0.034 Date_of_death = Aug2008 Loess Fit = 0.034 Date_of_death = Jul2008 Loess Fit = 0.0369 Date_of_death = Jul2008 Loess Fit = 0.0369 Date_of_death = Jun2008 Loess Fit = 0.0398 Date_of_death = Jun2008 Loess Fit = 0.0398 Date_of_death = May2008 Loess Fit = 0.0428 Date_of_death = May2008 Loess Fit = 0.0428 Date_of_death = Apr2008 Loess Fit = 0.0457 Date_of_death = Apr2008 Loess Fit = 0.0457 Date_of_death = Mar2008 Loess Fit = 0.0487 Date_of_death = Mar2008 Loess Fit = 0.0487 Date_of_death = Feb2008 Loess Fit = 0.0516 Date_of_death = Feb2008 Loess Fit = 0.0516 Date_of_death = Jan2008 Loess Fit = 0.0545 Date_of_death = Jan2008 Loess Fit = 0.0545 Date_of_death = Nov2007 Loess Fit = 0.0571 Date_of_death = Nov2007 Loess Fit = 0.0571 Date_of_death = Oct2007 Loess Fit = 0.0597 Date_of_death = Oct2007 Loess Fit = 0.0597 Date_of_death = Sep2007 Loess Fit = 0.0623 Date_of_death = Sep2007 Loess Fit = 0.0623 Date_of_death = Aug2007 Loess Fit = 0.0649 Date_of_death = Aug2007 Loess Fit = 0.0649 Date_of_death = Jul2007 Loess Fit = 0.0675 Date_of_death = Jul2007 Loess Fit = 0.0675 Date_of_death = Jun2007 Loess Fit = 0.0701 Date_of_death = Jun2007 Loess Fit = 0.0701 Date_of_death = May2007 Loess Fit = 0.0727 Date_of_death = May2007 Loess Fit = 0.0727 Date_of_death = Apr2007 Loess Fit = 0.0752 Date_of_death = Apr2007 Loess Fit = 0.0752 Date_of_death = Feb2007 Loess Fit = 0.0778 Date_of_death = Feb2007 Loess Fit = 0.0778 Date_of_death = Jan2007 Loess Fit = 0.0804 Date_of_death = Jan2007 Loess Fit = 0.0804 Date_of_death = Dec2006 Loess Fit = 0.083 Date_of_death = Dec2006 Loess Fit = 0.083 Date_of_death = Nov2006 Loess Fit = 0.0856 Date_of_death = Nov2006 Loess Fit = 0.0856 Date_of_death = Oct2006 Loess Fit = 0.0882 Date_of_death = Oct2006 Loess Fit = 0.0882 Date_of_death = Sep2006 Loess Fit = 0.0908 Date_of_death = Sep2006 Loess Fit = 0.0908 Date_of_death = Aug2006 Loess Fit = 0.0934 Date_of_death = Aug2006 Loess Fit = 0.0934 Date_of_death = Jul2006 Loess Fit = 0.0959 Date_of_death = Jul2006 Loess Fit = 0.0959 Date_of_death = May2006 Loess Fit = 0.0985 Date_of_death = May2006 Loess Fit = 0.0985 Date_of_death = Apr2006 Loess Fit = 0.1011 Date_of_death = Apr2006 Loess Fit = 0.1011 Date_of_death = Mar2006 Loess Fit = 0.1037 Date_of_death = Mar2006 Loess Fit = 0.1037 Date_of_death = Feb2006 Loess Fit = 0.1063 Date_of_death = Feb2006 Loess Fit = 0.1063 Date_of_death = Jan2006 Loess Fit = 0.1089 Date_of_death = Jan2006 Loess Fit = 0.1089 Date_of_death = Dec2005 Loess Fit = 0.1115 Date_of_death = Dec2005 Loess Fit = 0.1115 Date_of_death = Nov2005 Loess Fit = 0.1141 Date_of_death = Nov2005 Loess Fit = 0.1141 Date_of_death = Oct2005 Loess Fit = 0.1166 Date_of_death = Oct2005 Loess Fit = 0.1166 Date_of_death = Sep2005 Loess Fit = 0.1192 Date_of_death = Sep2005 Loess Fit = 0.1192 Date_of_death = Jul2005 Loess Fit = 0.1215 Date_of_death = Jul2005 Loess Fit = 0.1215 Date_of_death = Jun2005 Loess Fit = 0.1239 Date_of_death = Jun2005 Loess Fit = 0.1239 Date_of_death = May2005 Loess Fit = 0.1262 Date_of_death = May2005 Loess Fit = 0.1262 Date_of_death = Apr2005 Loess Fit = 0.1285 Date_of_death = Apr2005 Loess Fit = 0.1285 Date_of_death = Mar2005 Loess Fit = 0.1308 Date_of_death = Mar2005 Loess Fit = 0.1308 Date_of_death = Feb2005 Loess Fit = 0.1331 Date_of_death = Feb2005 Loess Fit = 0.1331 Date_of_death = Jan2005 Loess Fit = 0.1354 Date_of_death = Jan2005 Loess Fit = 0.1354 Date_of_death = Dec2004 Loess Fit = 0.1377 Date_of_death = Dec2004 Loess Fit = 0.1377 Date_of_death = Oct2004 Loess Fit = 0.14 Date_of_death = Oct2004 Loess Fit = 0.14 Date_of_death = Sep2004 Loess Fit = 0.1423 Date_of_death = Sep2004 Loess Fit = 0.1423 Date_of_death = Aug2004 Loess Fit = 0.1446 Date_of_death = Aug2004 Loess Fit = 0.1446 Date_of_death = Jul2004 Loess Fit = 0.1469 Date_of_death = Jul2004 Loess Fit = 0.1469 Date_of_death = Jun2004 Loess Fit = 0.1492 Date_of_death = Jun2004 Loess Fit = 0.1492 Date_of_death = May2004 Loess Fit = 0.1516 Date_of_death = May2004 Loess Fit = 0.1516 Date_of_death = Apr2004 Loess Fit = 0.1539 Date_of_death = Apr2004 Loess Fit = 0.1539 Date_of_death = Mar2004 Loess Fit = 0.1562 Date_of_death = Mar2004 Loess Fit = 0.1562 Date_of_death = Jan2004 Loess Fit = 0.1585 Date_of_death = Jan2004 Loess Fit = 0.1585 Date_of_death = Dec2003 Loess Fit = 0.1608 Date_of_death = Dec2003 Loess Fit = 0.1608 Date_of_death = Nov2003 Loess Fit = 0.1631 Date_of_death = Nov2003 Loess Fit = 0.1631 Date_of_death = Oct2003 Loess Fit = 0.1654 Date_of_death = Oct2003 Loess Fit = 0.1654 Date_of_death = Sep2003 Loess Fit = 0.1677 Date_of_death = Sep2003 Loess Fit = 0.1677 Date_of_death = Aug2003 Loess Fit = 0.17 Date_of_death = Aug2003 Loess Fit = 0.17 Date_of_death = Jul2003 Loess Fit = 0.1723 Date_of_death = Jul2003 Loess Fit = 0.1723 Date_of_death = Jun2003 Loess Fit = 0.1746 Date_of_death = Jun2003 Loess Fit = 0.1746 Date_of_death = May2003 Loess Fit = 0.1769 Date_of_death = May2003 Loess Fit = 0.1769 Date_of_death = Mar2003 Loess Fit = 0.1792 Date_of_death = Mar2003 Loess Fit = 0.1792 Date_of_death = Feb2003 Loess Fit = 0.1815 Date_of_death = Feb2003 Loess Fit = 0.1815 Date_of_death = Jan2003 Loess Fit = 0.1838 Date_of_death = Jan2003 Loess Fit = 0.1838 Date_of_death = Dec2002 Loess Fit = 0.1861 Date_of_death = Dec2002 Loess Fit = 0.1861 Date_of_death = Nov2002 Loess Fit = 0.1884 Date_of_death = Nov2002 Loess Fit = 0.1884 Date_of_death = Oct2002 Loess Fit = 0.1907 Date_of_death = Oct2002 Loess Fit = 0.1907 Date_of_death = Sep2002 Loess Fit = 0.193 Date_of_death = Sep2002 Loess Fit = 0.193 Date_of_death = Aug2002 Loess Fit = 0.1953 Date_of_death = Aug2002 Loess Fit = 0.1953 Date_of_death = Jun2002 Loess Fit = 0.1976 Date_of_death = Jun2002 Loess Fit = 0.1976 Date_of_death = May2002 Loess Fit = 0.1999 Date_of_death = May2002 Loess Fit = 0.1999 Date_of_death = Apr2002 Loess Fit = 0.2022 Date_of_death = Apr2002 Loess Fit = 0.2022 Date_of_death = Mar2002 Loess Fit = 0.2045 Date_of_death = Mar2002 Loess Fit = 0.2045 Date_of_death = Feb2002 Loess Fit = 0.2068 Date_of_death = Feb2002 Loess Fit = 0.2068 Date_of_death = Jan2002 Loess Fit = 0.2091 Date_of_death = Jan2002 Loess Fit = 0.2091 Date_of_death = Dec2001 Loess Fit = 0.2114 Date_of_death = Dec2001 Loess Fit = 0.2114 Date_of_death = Nov2001 Loess Fit = 0.2137 Date_of_death = Nov2001 Loess Fit = 0.2137 Date_of_death = Sep2001 Loess Fit = 0.216 Date_of_death = Sep2001 Loess Fit = 0.216 Date_of_death = Aug2001 Loess Fit = 0.2183 Date_of_death = Aug2001 Loess Fit = 0.2183 Date_of_death = Jul2001 Loess Fit = 0.2205 Date_of_death = Jul2001 Loess Fit = 0.2205 Date_of_death = Jun2001 Loess Fit = 0.2228 Date_of_death = Jun2001 Loess Fit = 0.2228 Date_of_death = May2001 Loess Fit = 0.2251 Date_of_death = May2001 Loess Fit = 0.2251 Date_of_death = Apr2001 Loess Fit = 0.2274 Date_of_death = Apr2001 Loess Fit = 0.2274 Date_of_death = Mar2001 Loess Fit = 0.2297 Date_of_death = Mar2001 Loess Fit = 0.2297 Date_of_death = Feb2001 Loess Fit = 0.232 Date_of_death = Feb2001 Loess Fit = 0.232 Date_of_death = Jan2001 Loess Fit = 0.2343 Date_of_death = Sep2019 Prediction Error = -2.019 Date_of_death = Aug2019 Prediction Error = 1.9465 Date_of_death = Jul2019 Prediction Error = 2.1231 Date_of_death = Jun2019 Prediction Error = 1.7801 Date_of_death = May2019 Prediction Error = 1.7326 Date_of_death = Apr2019 Prediction Error = 1.9968 Date_of_death = Mar2019 Prediction Error = -1.933 Date_of_death = Feb2019 Prediction Error = 1.0742 Date_of_death = Jan2019 Prediction Error = 1.5036 Date_of_death = Dec2018 Prediction Error = -2.074 Date_of_death = Nov2018 Prediction Error = -2.163 Date_of_death = Oct2018 Prediction Error = -0.199 Date_of_death = Sep2018 Prediction Error = -2.231 Date_of_death = Aug2018 Prediction Error = -1.152 Date_of_death = Jul2018 Prediction Error = 2.3022 Date_of_death = Jun2018 Prediction Error = 1.8755 Date_of_death = May2018 Prediction Error = -0.355 Date_of_death = Apr2018 Prediction Error = -2.148 Date_of_death = Mar2018 Prediction Error = -3.185 Date_of_death = Feb2018 Prediction Error = -3.163 Date_of_death = Jan2018 Prediction Error = 1.7275 Date_of_death = Dec2017 Prediction Error = 2.1169 Date_of_death = Nov2017 Prediction Error = 1.9794 Date_of_death = Oct2017 Prediction Error = 1.9736 Date_of_death = Sep2017 Prediction Error = 1.9187 Date_of_death = Aug2017 Prediction Error = 1.9482 Date_of_death = Jul2017 Prediction Error = -0.823 Date_of_death = Jun2017 Prediction Error = 2.0666 Date_of_death = May2017 Prediction Error = 1.8053 Date_of_death = Apr2017 Prediction Error = -1.227 Date_of_death = Mar2017 Prediction Error = 0.9584 Date_of_death = Feb2017 Prediction Error = -0.222 Date_of_death = Jan2017 Prediction Error = -1.424 Date_of_death = Dec2016 Prediction Error = 2.3044 Date_of_death = Nov2016 Prediction Error = -1.182 Date_of_death = Oct2016 Prediction Error = 2.1431 Date_of_death = Sep2016 Prediction Error = -1.244 Date_of_death = Aug2016 Prediction Error = -2.218 Date_of_death = Jul2016 Prediction Error = -1.998 Date_of_death = Jun2016 Prediction Error = -1.02 Date_of_death = May2016 Prediction Error = 2.0112 Date_of_death = Apr2016 Prediction Error = -2.481 Date_of_death = Mar2016 Prediction Error = 1.0872 Date_of_death = Feb2016 Prediction Error = -2.424 Date_of_death = Jan2016 Prediction Error = 1.7236 Date_of_death = Dec2015 Prediction Error = -1.866 Date_of_death = Nov2015 Prediction Error = -2.403 Date_of_death = Oct2015 Prediction Error = -0.886 Date_of_death = Sep2015 Prediction Error = 1.9761 Date_of_death = Aug2015 Prediction Error = 1.961 Date_of_death = Jul2015 Prediction Error = 2.1836 Date_of_death = Jun2015 Prediction Error = -2.277 Date_of_death = May2015 Prediction Error = 2.2744 Date_of_death = Apr2015 Prediction Error = 1.6223 Date_of_death = Mar2015 Prediction Error = -3.183 Date_of_death = Feb2015 Prediction Error = -3.741 Date_of_death = Jan2015 Prediction Error = -0.221 Date_of_death = Dec2014 Prediction Error = 2.3907 Date_of_death = Nov2014 Prediction Error = 1.7397 Date_of_death = Oct2014 Prediction Error = -2.13 Date_of_death = Sep2014 Prediction Error = -2.231 Date_of_death = Aug2014 Prediction Error = -2.246 Date_of_death = Jul2014 Prediction Error = 0.2653 Date_of_death = Jun2014 Prediction Error = 1.8592 Date_of_death = May2014 Prediction Error = -0.845 Date_of_death = Apr2014 Prediction Error = 1.845 Date_of_death = Mar2014 Prediction Error = 0.9317 Date_of_death = Feb2014 Prediction Error = 0.2742 Date_of_death = Jan2014 Prediction Error = -2.484 Date_of_death = Dec2013 Prediction Error = 1.5434 Date_of_death = Nov2013 Prediction Error = -1.378 Date_of_death = Oct2013 Prediction Error = -2.304 Date_of_death = Sep2013 Prediction Error = -2.404 Date_of_death = Aug2013 Prediction Error = 1.9639 Date_of_death = Jul2013 Prediction Error = -1.965 Date_of_death = Jun2013 Prediction Error = 2.0882 Date_of_death = May2013 Prediction Error = -2.09 Date_of_death = Apr2013 Prediction Error = 2.0493 Date_of_death = Mar2013 Prediction Error = 1.0021 Date_of_death = Feb2013 Prediction Error = 0.3245 Date_of_death = Jan2013 Prediction Error = 1.6491 Date_of_death = Dec2012 Prediction Error = -0.507 Date_of_death = Nov2012 Prediction Error = -2.601 Date_of_death = Oct2012 Prediction Error = -2.494 Date_of_death = Sep2012 Prediction Error = 1.7745 Date_of_death = Aug2012 Prediction Error = -1.143 Date_of_death = Jul2012 Prediction Error = -1.086 Date_of_death = Jun2012 Prediction Error = -2.08 Date_of_death = May2012 Prediction Error = -2.322 Date_of_death = Apr2012 Prediction Error = 2.2875 Date_of_death = Mar2012 Prediction Error = 1.0813 Date_of_death = Feb2012 Prediction Error = 0.3244 Date_of_death = Jan2012 Prediction Error = -2.605 Date_of_death = Dec2011 Prediction Error = 2.8442 Date_of_death = Nov2011 Prediction Error = -2.9 Date_of_death = Oct2011 Prediction Error = -2.773 Date_of_death = Sep2011 Prediction Error = -2.436 Date_of_death = Aug2011 Prediction Error = 0.9978 Date_of_death = Jul2011 Prediction Error = 2.1522 Date_of_death = Jun2011 Prediction Error = -1.199 Date_of_death = May2011 Prediction Error = -2.608 Date_of_death = Apr2011 Prediction Error = -1.896 Date_of_death = Mar2011 Prediction Error = 1.224 Date_of_death = Feb2011 Prediction Error = 0.3821 Date_of_death = Jan2011 Prediction Error = 1.5169 Date_of_death = Dec2010 Prediction Error = 3.2133 Date_of_death = Nov2010 Prediction Error = 1.237 Date_of_death = Oct2010 Prediction Error = 1.3933 Date_of_death = Sep2010 Prediction Error = 1.7288 Date_of_death = Aug2010 Prediction Error = 2.1996 Date_of_death = Jul2010 Prediction Error = -2.082 Date_of_death = Jun2010 Prediction Error = 2.0741 Date_of_death = May2010 Prediction Error = 1.5655 Date_of_death = Apr2010 Prediction Error = -2.159 Date_of_death = Mar2010 Prediction Error = 0.2677 Date_of_death = Feb2010 Prediction Error = 0.4078 Date_of_death = Jan2010 Prediction Error = 1.6615 Date_of_death = Dec2009 Prediction Error = 3.6075 Date_of_death = Nov2009 Prediction Error = 1.3507 Date_of_death = Oct2009 Prediction Error = 1.5442 Date_of_death = Sep2009 Prediction Error = -2.611 Date_of_death = Aug2009 Prediction Error = 2.5372 Date_of_death = Jul2009 Prediction Error = -2.404 Date_of_death = Jun2009 Prediction Error = -2.176 Date_of_death = May2009 Prediction Error = 1.8174 Date_of_death = Apr2009 Prediction Error = 2.0644 Date_of_death = Mar2009 Prediction Error = -3.118 Date_of_death = Feb2009 Prediction Error = 0.4705 Date_of_death = Jan2009 Prediction Error = -2.691 Date_of_death = Dec2008 Prediction Error = 1.8484 Date_of_death = Nov2008 Prediction Error = -3.062 Date_of_death = Oct2008 Prediction Error = 1.8194 Date_of_death = Sep2008 Prediction Error = 1.5488 Date_of_death = Aug2008 Prediction Error = 2.9156 Date_of_death = Jul2008 Prediction Error = 1.8244 Date_of_death = Jun2008 Prediction Error = -2.525 Date_of_death = May2008 Prediction Error = -2.498 Date_of_death = Apr2008 Prediction Error = 2.4162 Date_of_death = Mar2008 Prediction Error = 0.9852 Date_of_death = Feb2008 Prediction Error = -4.019 Date_of_death = Jan2008 Prediction Error = 1.5137 Date_of_death = Dec2007 Prediction Error = -0.158 Date_of_death = Nov2007 Prediction Error = 1.0711 Date_of_death = Oct2007 Prediction Error = 2.0877 Date_of_death = Sep2007 Prediction Error = 1.7528 Date_of_death = Aug2007 Prediction Error = -1.289 Date_of_death = Jul2007 Prediction Error = 2.1509 Date_of_death = Jun2007 Prediction Error = 1.7193 Date_of_death = May2007 Prediction Error = -2.935 Date_of_death = Apr2007 Prediction Error = -1.825 Date_of_death = Mar2007 Prediction Error = 1.1958 Date_of_death = Feb2007 Prediction Error = -0.045 Date_of_death = Jan2007 Prediction Error = -2.883 Date_of_death = Dec2006 Prediction Error = -0.176 Date_of_death = Nov2006 Prediction Error = -2.297 Date_of_death = Oct2006 Prediction Error = 2.4676 Date_of_death = Sep2006 Prediction Error = -2.661 Date_of_death = Aug2006 Prediction Error = -0.343 Date_of_death = Jul2006 Prediction Error = 2.5302 Date_of_death = Jun2006 Prediction Error = -2.687 Date_of_death = May2006 Prediction Error = 1.2927 Date_of_death = Apr2006 Prediction Error = -2.176 Date_of_death = Mar2006 Prediction Error = -3.3 Date_of_death = Feb2006 Prediction Error = -0.007 Date_of_death = Jan2006 Prediction Error = 1.3221 Date_of_death = Dec2005 Prediction Error = -0.203 Date_of_death = Nov2005 Prediction Error = 0.8343 Date_of_death = Oct2005 Prediction Error = -1.843 Date_of_death = Sep2005 Prediction Error = 1.6375 Date_of_death = Aug2005 Prediction Error = 3.1949 Date_of_death = Jul2005 Prediction Error = -0.567 Date_of_death = Jun2005 Prediction Error = 1.5867 Date_of_death = May2005 Prediction Error = 1.5773 Date_of_death = Apr2005 Prediction Error = -1.41 Date_of_death = Mar2005 Prediction Error = -3.997 Date_of_death = Feb2005 Prediction Error = 0.004 Date_of_death = Jan2005 Prediction Error = 1.6061 Date_of_death = Dec2004 Prediction Error = -0.271 Date_of_death = Nov2004 Prediction Error = -3.98 Date_of_death = Oct2004 Prediction Error = 2.7278 Date_of_death = Sep2004 Prediction Error = 2.031 Date_of_death = Aug2004 Prediction Error = -1.021 Date_of_death = Jul2004 Prediction Error = -1.983 Date_of_death = Jun2004 Prediction Error = 1.9999 Date_of_death = May2004 Prediction Error = 1.9908 Date_of_death = Apr2004 Prediction Error = 2.0246 Date_of_death = Mar2004 Prediction Error = -0.006 Date_of_death = Feb2004 Prediction Error = -0.006 Date_of_death = Jan2004 Prediction Error = -3.018 Date_of_death = Dec2003 Prediction Error = -0.326 Date_of_death = Nov2003 Prediction Error = 0.0114 Date_of_death = Oct2003 Prediction Error = 3.6509 Date_of_death = Sep2003 Prediction Error = -2.651 Date_of_death = Aug2003 Prediction Error = -1.35 Date_of_death = Jul2003 Prediction Error = 2.701 Date_of_death = Jun2003 Prediction Error = 2.6638 Date_of_death = May2003 Prediction Error = 2.6515 Date_of_death = Apr2003 Prediction Error = -2.663 Date_of_death = Mar2003 Prediction Error = 0.0015 Date_of_death = Feb2003 Prediction Error = 0.0102 Date_of_death = Jan2003 Prediction Error = 1.3199 Date_of_death = Dec2002 Prediction Error = -0.496 Date_of_death = Nov2002 Prediction Error = -0.001 Date_of_death = Oct2002 Prediction Error = -0.512 Date_of_death = Sep2002 Prediction Error = -3.989 Date_of_death = Aug2002 Prediction Error = 3.9918 Date_of_death = Jul2002 Prediction Error = -1.983 Date_of_death = Jun2002 Prediction Error = 4.0072 Date_of_death = May2002 Prediction Error = 4.0021 Date_of_death = Apr2002 Prediction Error = 2.0062 Date_of_death = Mar2002 Prediction Error = -0.003 Date_of_death = Feb2002 Prediction Error = 0.0083 Date_of_death = Jan2002 Prediction Error = 1.9922 Date_of_death = Dec2001 Prediction Error = -1 Date_of_death = Nov2001 Prediction Error = 0.0016 Date_of_death = Oct2001 Prediction Error = 1 Date_of_death = Sep2001 Prediction Error = -97E-7 Date_of_death = Aug2001 Prediction Error = -0.006 Date_of_death = Jul2001 Prediction Error = -4 Date_of_death = Jun2001 Prediction Error = -97E-7 Date_of_death = May2001 Prediction Error = -0.006 Date_of_death = Apr2001 Prediction Error = -4 Date_of_death = Mar2001 Prediction Error = 9.7E-6 Date_of_death = Feb2001 Prediction Error = 0.0062 Date_of_death = Jan2001 Prediction Error = 4 Date_of_death = Sep2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Aug2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Aug2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Jul2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Jul2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Jun2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Jun2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = May2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = May2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Apr2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Apr2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Mar2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Mar2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Feb2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Feb2019 2*STD = 3.8768 -2*STD = -3.877 Date_of_death = Jan2019 2*STD = 3.8769 -2*STD = -3.877 Date_of_death = Jan2019 2*STD = 3.8769 -2*STD = -3.877 Date_of_death = Dec2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Dec2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Nov2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Nov2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Oct2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Oct2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Sep2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Sep2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Aug2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Aug2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Jul2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Jul2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Jun2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Jun2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = May2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = May2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Apr2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Apr2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Mar2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Mar2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Feb2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Feb2018 2*STD = 3.8798 -2*STD = -3.88 Date_of_death = Jan2018 2*STD = 3.8799 -2*STD = -3.88 Date_of_death = Jan2018 2*STD = 3.8799 -2*STD = -3.88 Date_of_death = Dec2017 2*STD = 3.8833 -2*STD = -3.883 Date_of_death = Dec2017 2*STD = 3.8833 -2*STD = -3.883 Date_of_death = Nov2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Nov2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Oct2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Oct2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Sep2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Sep2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Aug2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Aug2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Jul2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Jul2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Jun2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Jun2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = May2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = May2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Apr2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Apr2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Mar2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Mar2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Feb2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Feb2017 2*STD = 3.8834 -2*STD = -3.883 Date_of_death = Jan2017 2*STD = 3.8835 -2*STD = -3.883 Date_of_death = Jan2017 2*STD = 3.8835 -2*STD = -3.883 Date_of_death = Dec2016 2*STD = 3.8875 -2*STD = -3.887 Date_of_death = Dec2016 2*STD = 3.8875 -2*STD = -3.887 Date_of_death = Nov2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Nov2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Oct2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Oct2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Sep2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Sep2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Aug2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Aug2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Jul2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Jul2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Jun2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Jun2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = May2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = May2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Apr2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Apr2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Mar2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Mar2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Feb2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Feb2016 2*STD = 3.8875 -2*STD = -3.888 Date_of_death = Jan2016 2*STD = 3.8876 -2*STD = -3.888 Date_of_death = Jan2016 2*STD = 3.8876 -2*STD = -3.888 Date_of_death = Dec2015 2*STD = 3.8924 -2*STD = -3.892 Date_of_death = Dec2015 2*STD = 3.8924 -2*STD = -3.892 Date_of_death = Nov2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Nov2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Oct2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Oct2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Sep2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Sep2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Aug2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Aug2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Jul2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Jul2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Jun2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Jun2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = May2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = May2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Apr2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Apr2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Mar2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Mar2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Feb2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Feb2015 2*STD = 3.8925 -2*STD = -3.892 Date_of_death = Jan2015 2*STD = 3.8925 -2*STD = -3.893 Date_of_death = Jan2015 2*STD = 3.8925 -2*STD = -3.893 Date_of_death = Dec2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Dec2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Nov2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Nov2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Oct2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Oct2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Sep2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Sep2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Aug2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Aug2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Jul2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Jul2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Jun2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Jun2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = May2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = May2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Apr2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Apr2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Mar2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Mar2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Feb2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Feb2014 2*STD = 3.8983 -2*STD = -3.898 Date_of_death = Jan2014 2*STD = 3.8984 -2*STD = -3.898 Date_of_death = Jan2014 2*STD = 3.8984 -2*STD = -3.898 Date_of_death = Dec2013 2*STD = 3.9053 -2*STD = -3.905 Date_of_death = Dec2013 2*STD = 3.9053 -2*STD = -3.905 Date_of_death = Nov2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Nov2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Oct2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Oct2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Sep2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Sep2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Aug2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Aug2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Jul2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Jul2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Jun2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Jun2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = May2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = May2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Apr2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Apr2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Mar2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Mar2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Feb2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Feb2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Jan2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Jan2013 2*STD = 3.9054 -2*STD = -3.905 Date_of_death = Dec2012 2*STD = 3.9138 -2*STD = -3.914 Date_of_death = Dec2012 2*STD = 3.9138 -2*STD = -3.914 Date_of_death = Nov2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Nov2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Oct2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Oct2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Sep2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Sep2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Aug2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Aug2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Jul2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Jul2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Jun2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Jun2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = May2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = May2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Apr2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Apr2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Mar2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Mar2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Feb2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Feb2012 2*STD = 3.9139 -2*STD = -3.914 Date_of_death = Jan2012 2*STD = 3.914 -2*STD = -3.914 Date_of_death = Jan2012 2*STD = 3.914 -2*STD = -3.914 Date_of_death = Dec2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Dec2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Nov2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Nov2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Oct2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Oct2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Sep2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Sep2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Aug2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Aug2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Jul2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Jul2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Jun2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Jun2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = May2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = May2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Apr2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Apr2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Mar2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Mar2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Feb2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Feb2011 2*STD = 3.9243 -2*STD = -3.924 Date_of_death = Jan2011 2*STD = 3.9244 -2*STD = -3.924 Date_of_death = Jan2011 2*STD = 3.9244 -2*STD = -3.924 Date_of_death = Dec2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Dec2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Nov2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Nov2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Oct2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Oct2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Sep2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Sep2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Aug2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Aug2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Jul2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Jul2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Jun2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Jun2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = May2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = May2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Apr2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Apr2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Mar2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Mar2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Feb2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Feb2010 2*STD = 3.9373 -2*STD = -3.937 Date_of_death = Jan2010 2*STD = 3.9374 -2*STD = -3.937 Date_of_death = Jan2010 2*STD = 3.9374 -2*STD = -3.937 Date_of_death = Dec2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Dec2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Nov2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Nov2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Oct2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Oct2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Sep2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Sep2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Aug2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Aug2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Jul2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Jul2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Jun2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Jun2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = May2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = May2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Apr2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Apr2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Mar2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Mar2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Feb2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Feb2009 2*STD = 3.9537 -2*STD = -3.954 Date_of_death = Jan2009 2*STD = 3.9538 -2*STD = -3.954 Date_of_death = Jan2009 2*STD = 3.9538 -2*STD = -3.954 Date_of_death = Dec2008 2*STD = 3.9747 -2*STD = -3.975 Date_of_death = Dec2008 2*STD = 3.9747 -2*STD = -3.975 Date_of_death = Nov2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Nov2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Oct2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Oct2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Sep2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Sep2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Aug2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Aug2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Jul2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Jul2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Jun2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Jun2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = May2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = May2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Apr2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Apr2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Mar2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Mar2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Feb2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Feb2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Jan2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Jan2008 2*STD = 3.9748 -2*STD = -3.975 Date_of_death = Dec2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Dec2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Nov2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Nov2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Oct2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Oct2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Sep2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Sep2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Aug2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Aug2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Jul2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Jul2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Jun2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Jun2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = May2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = May2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Apr2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Apr2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Mar2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Mar2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Feb2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Feb2007 2*STD = 4.0025 -2*STD = -4.002 Date_of_death = Jan2007 2*STD = 4.0025 -2*STD = -4.003 Date_of_death = Jan2007 2*STD = 4.0025 -2*STD = -4.003 Date_of_death = Dec2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Dec2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Nov2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Nov2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Oct2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Oct2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Sep2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Sep2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Aug2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Aug2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Jul2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Jul2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Jun2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Jun2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = May2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = May2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Apr2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Apr2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Mar2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Mar2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Feb2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Feb2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Jan2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Jan2006 2*STD = 4.0401 -2*STD = -4.04 Date_of_death = Dec2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Dec2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Nov2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Nov2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Oct2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Oct2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Sep2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Sep2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Aug2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Aug2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Jul2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Jul2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Jun2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Jun2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = May2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = May2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Apr2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Apr2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Mar2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Mar2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Feb2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Feb2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Jan2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Jan2005 2*STD = 4.0934 -2*STD = -4.093 Date_of_death = Dec2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Dec2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Nov2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Nov2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Oct2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Oct2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Sep2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Sep2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Aug2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Aug2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Jul2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Jul2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Jun2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Jun2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = May2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = May2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Apr2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Apr2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Mar2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Mar2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Feb2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Feb2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Jan2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Jan2004 2*STD = 4.1737 -2*STD = -4.174 Date_of_death = Dec2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Dec2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Nov2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Nov2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Oct2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Oct2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Sep2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Sep2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Aug2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Aug2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Jul2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Jul2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Jun2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Jun2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = May2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = May2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Apr2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Apr2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Mar2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Mar2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Feb2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Feb2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Jan2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Jan2003 2*STD = 4.3062 -2*STD = -4.306 Date_of_death = Dec2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Dec2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Nov2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Nov2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Oct2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Oct2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Sep2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Sep2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Aug2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Aug2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Jul2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Jul2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Jun2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Jun2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = May2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = May2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Apr2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Apr2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Mar2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Mar2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Feb2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Feb2002 2*STD = 4.5627 -2*STD = -4.563 Date_of_death = Jan2002 2*STD = 4.5628 -2*STD = -4.563 Date_of_death = Jan2002 2*STD = 4.5628 -2*STD = -4.563 Date_of_death = Dec2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Dec2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Nov2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Nov2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Oct2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Oct2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Sep2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Sep2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Aug2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Aug2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Jul2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Jul2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Jun2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Jun2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = May2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = May2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Apr2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Apr2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Mar2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Mar2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Feb2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Feb2001 2*STD = 5.2632 -2*STD = -5.263 Date_of_death = Jan2001 2*STD = 5.2632 -2*STD = -5.263 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
238 OCT2019 3.244927 1.93841 -0.554277 7.044131
239 NOV2019 3.012830 1.93865 -0.786845 6.812506
240 DEC2019 2.880465 1.93861 -0.919148 6.680077
241 JAN2020 3.604917 1.93740 -0.192308 7.402143
242 FEB2020 4.039041 1.93736 0.241892 7.836191
243 MAR2020 3.745257 1.93736 -0.051891 7.542405
244 APR2020 3.138589 1.93736 -0.658559 6.935737
245 MAY2020 3.380387 1.93736 -0.416761 7.177535
246 JUN2020 3.332220 1.93736 -0.464928 7.129368
247 JUL2020 3.023305 1.93736 -0.773843 6.820453
248 AUG2020 3.241055 1.93736 -0.556094 7.038205
249 SEP2020 2.854405 1.93756 -0.943143 6.651953

Forecasts Only Plot

Date_of_death = Sep2020 Forecast = 2.8544 Date_of_death = Aug2020 Forecast = 3.2411 Date_of_death = Aug2020 Forecast = 3.2411 Date_of_death = Jul2020 Forecast = 3.0233 Date_of_death = Jul2020 Forecast = 3.0233 Date_of_death = Jun2020 Forecast = 3.3322 Date_of_death = Jun2020 Forecast = 3.3322 Date_of_death = May2020 Forecast = 3.3804 Date_of_death = May2020 Forecast = 3.3804 Date_of_death = Apr2020 Forecast = 3.1386 Date_of_death = Apr2020 Forecast = 3.1386 Date_of_death = Mar2020 Forecast = 3.7453 Date_of_death = Mar2020 Forecast = 3.7453 Date_of_death = Feb2020 Forecast = 4.0390 Date_of_death = Feb2020 Forecast = 4.0390 Date_of_death = Jan2020 Forecast = 3.6049 Date_of_death = Jan2020 Forecast = 3.6049 Date_of_death = Dec2019 Forecast = 2.8805 Date_of_death = Dec2019 Forecast = 2.8805 Date_of_death = Nov2019 Forecast = 3.0128 Date_of_death = Nov2019 Forecast = 3.0128 Date_of_death = Oct2019 Forecast = 3.2449 Date_of_death = Sep2020 Upper 95% = 6.6520 Lower 95% = -0.9431 Date_of_death = Aug2020 Upper 95% = 7.0382 Lower 95% = -0.5561 Date_of_death = Aug2020 Upper 95% = 7.0382 Lower 95% = -0.5561 Date_of_death = Jul2020 Upper 95% = 6.8205 Lower 95% = -0.7738 Date_of_death = Jul2020 Upper 95% = 6.8205 Lower 95% = -0.7738 Date_of_death = Jun2020 Upper 95% = 7.1294 Lower 95% = -0.4649 Date_of_death = Jun2020 Upper 95% = 7.1294 Lower 95% = -0.4649 Date_of_death = May2020 Upper 95% = 7.1775 Lower 95% = -0.4168 Date_of_death = May2020 Upper 95% = 7.1775 Lower 95% = -0.4168 Date_of_death = Apr2020 Upper 95% = 6.9357 Lower 95% = -0.6586 Date_of_death = Apr2020 Upper 95% = 6.9357 Lower 95% = -0.6586 Date_of_death = Mar2020 Upper 95% = 7.5424 Lower 95% = -0.0519 Date_of_death = Mar2020 Upper 95% = 7.5424 Lower 95% = -0.0519 Date_of_death = Feb2020 Upper 95% = 7.8362 Lower 95% = 0.2419 Date_of_death = Feb2020 Upper 95% = 7.8362 Lower 95% = 0.2419 Date_of_death = Jan2020 Upper 95% = 7.4021 Lower 95% = -0.1923 Date_of_death = Jan2020 Upper 95% = 7.4021 Lower 95% = -0.1923 Date_of_death = Dec2019 Upper 95% = 6.6801 Lower 95% = -0.9191 Date_of_death = Dec2019 Upper 95% = 6.6801 Lower 95% = -0.9191 Date_of_death = Nov2019 Upper 95% = 6.8125 Lower 95% = -0.7868 Date_of_death = Nov2019 Upper 95% = 6.8125 Lower 95% = -0.7868 Date_of_death = Oct2019 Upper 95% = 7.0441 Lower 95% = -0.5543
Forecast Only Plot

Forecasts Plot

X = 21793 Date_of_death = Sep2020 Forecast = 2.8544 Date_of_death = Aug2020 Forecast = 3.2411 Date_of_death = Aug2020 Forecast = 3.2411 Date_of_death = Jul2020 Forecast = 3.0233 Date_of_death = Jul2020 Forecast = 3.0233 Date_of_death = Jun2020 Forecast = 3.3322 Date_of_death = Jun2020 Forecast = 3.3322 Date_of_death = May2020 Forecast = 3.3804 Date_of_death = May2020 Forecast = 3.3804 Date_of_death = Apr2020 Forecast = 3.1386 Date_of_death = Apr2020 Forecast = 3.1386 Date_of_death = Mar2020 Forecast = 3.7453 Date_of_death = Mar2020 Forecast = 3.7453 Date_of_death = Feb2020 Forecast = 4.0390 Date_of_death = Feb2020 Forecast = 4.0390 Date_of_death = Jan2020 Forecast = 3.6049 Date_of_death = Jan2020 Forecast = 3.6049 Date_of_death = Dec2019 Forecast = 2.8805 Date_of_death = Dec2019 Forecast = 2.8805 Date_of_death = Nov2019 Forecast = 3.0128 Date_of_death = Nov2019 Forecast = 3.0128 Date_of_death = Oct2019 Forecast = 3.2449 Date_of_death = Oct2019 Forecast = 3.2449 Date_of_death = Sep2019 Forecast = 3.0186 Date_of_death = Sep2019 Forecast = 3.0186 Date_of_death = Aug2019 Forecast = 3.0535 Date_of_death = Aug2019 Forecast = 3.0535 Date_of_death = Jul2019 Forecast = 2.8769 Date_of_death = Jul2019 Forecast = 2.8769 Date_of_death = Jun2019 Forecast = 3.2199 Date_of_death = Jun2019 Forecast = 3.2199 Date_of_death = May2019 Forecast = 3.2674 Date_of_death = May2019 Forecast = 3.2674 Date_of_death = Apr2019 Forecast = 3.0032 Date_of_death = Apr2019 Forecast = 3.0032 Date_of_death = Mar2019 Forecast = 3.9332 Date_of_death = Mar2019 Forecast = 3.9332 Date_of_death = Feb2019 Forecast = 3.9258 Date_of_death = Feb2019 Forecast = 3.9258 Date_of_death = Jan2019 Forecast = 3.4964 Date_of_death = Jan2019 Forecast = 3.4964 Date_of_death = Dec2018 Forecast = 3.0742 Date_of_death = Dec2018 Forecast = 3.0742 Date_of_death = Nov2018 Forecast = 3.1627 Date_of_death = Nov2018 Forecast = 3.1627 Date_of_death = Oct2018 Forecast = 3.1994 Date_of_death = Oct2018 Forecast = 3.1994 Date_of_death = Sep2018 Forecast = 3.2309 Date_of_death = Sep2018 Forecast = 3.2309 Date_of_death = Aug2018 Forecast = 3.1523 Date_of_death = Aug2018 Forecast = 3.1523 Date_of_death = Jul2018 Forecast = 2.6978 Date_of_death = Jul2018 Forecast = 2.6978 Date_of_death = Jun2018 Forecast = 3.1245 Date_of_death = Jun2018 Forecast = 3.1245 Date_of_death = May2018 Forecast = 3.3550 Date_of_death = May2018 Forecast = 3.3550 Date_of_death = Apr2018 Forecast = 3.1483 Date_of_death = Apr2018 Forecast = 3.1483 Date_of_death = Mar2018 Forecast = 4.1845 Date_of_death = Mar2018 Forecast = 4.1845 Date_of_death = Feb2018 Forecast = 4.1631 Date_of_death = Feb2018 Forecast = 4.1631 Date_of_death = Jan2018 Forecast = 3.2725 Date_of_death = Jan2018 Forecast = 3.2725 Date_of_death = Dec2017 Forecast = 2.8831 Date_of_death = Dec2017 Forecast = 2.8831 Date_of_death = Nov2017 Forecast = 3.0206 Date_of_death = Nov2017 Forecast = 3.0206 Date_of_death = Oct2017 Forecast = 3.0264 Date_of_death = Oct2017 Forecast = 3.0264 Date_of_death = Sep2017 Forecast = 3.0813 Date_of_death = Sep2017 Forecast = 3.0813 Date_of_death = Aug2017 Forecast = 3.0518 Date_of_death = Aug2017 Forecast = 3.0518 Date_of_death = Jul2017 Forecast = 2.8235 Date_of_death = Jul2017 Forecast = 2.8235 Date_of_death = Jun2017 Forecast = 2.9334 Date_of_death = Jun2017 Forecast = 2.9334 Date_of_death = May2017 Forecast = 3.1947 Date_of_death = May2017 Forecast = 3.1947 Date_of_death = Apr2017 Forecast = 3.2270 Date_of_death = Apr2017 Forecast = 3.2270 Date_of_death = Mar2017 Forecast = 4.0416 Date_of_death = Mar2017 Forecast = 4.0416 Date_of_death = Feb2017 Forecast = 4.2218 Date_of_death = Feb2017 Forecast = 4.2218 Date_of_death = Jan2017 Forecast = 3.4235 Date_of_death = Jan2017 Forecast = 3.4235 Date_of_death = Dec2016 Forecast = 2.6956 Date_of_death = Dec2016 Forecast = 2.6956 Date_of_death = Nov2016 Forecast = 3.1820 Date_of_death = Nov2016 Forecast = 3.1820 Date_of_death = Oct2016 Forecast = 2.8569 Date_of_death = Oct2016 Forecast = 2.8569 Date_of_death = Sep2016 Forecast = 3.2442 Date_of_death = Sep2016 Forecast = 3.2442 Date_of_death = Aug2016 Forecast = 3.2179 Date_of_death = Aug2016 Forecast = 3.2179 Date_of_death = Jul2016 Forecast = 2.9982 Date_of_death = Jul2016 Forecast = 2.9982 Date_of_death = Jun2016 Forecast = 3.0199 Date_of_death = Jun2016 Forecast = 3.0199 Date_of_death = May2016 Forecast = 2.9888 Date_of_death = May2016 Forecast = 2.9888 Date_of_death = Apr2016 Forecast = 3.4805 Date_of_death = Apr2016 Forecast = 3.4805 Date_of_death = Mar2016 Forecast = 3.9128 Date_of_death = Mar2016 Forecast = 3.9128 Date_of_death = Feb2016 Forecast = 4.4241 Date_of_death = Feb2016 Forecast = 4.4241 Date_of_death = Jan2016 Forecast = 3.2764 Date_of_death = Jan2016 Forecast = 3.2764 Date_of_death = Dec2015 Forecast = 2.8657 Date_of_death = Dec2015 Forecast = 2.8657 Date_of_death = Nov2015 Forecast = 3.4026 Date_of_death = Nov2015 Forecast = 3.4026 Date_of_death = Oct2015 Forecast = 2.8858 Date_of_death = Oct2015 Forecast = 2.8858 Date_of_death = Sep2015 Forecast = 3.0239 Date_of_death = Sep2015 Forecast = 3.0239 Date_of_death = Aug2015 Forecast = 3.0390 Date_of_death = Aug2015 Forecast = 3.0390 Date_of_death = Jul2015 Forecast = 2.8164 Date_of_death = Jul2015 Forecast = 2.8164 Date_of_death = Jun2015 Forecast = 3.2774 Date_of_death = Jun2015 Forecast = 3.2774 Date_of_death = May2015 Forecast = 2.7256 Date_of_death = May2015 Forecast = 2.7256 Date_of_death = Apr2015 Forecast = 3.3777 Date_of_death = Apr2015 Forecast = 3.3777 Date_of_death = Mar2015 Forecast = 4.1830 Date_of_death = Mar2015 Forecast = 4.1830 Date_of_death = Feb2015 Forecast = 4.7409 Date_of_death = Feb2015 Forecast = 4.7409 Date_of_death = Jan2015 Forecast = 3.2209 Date_of_death = Jan2015 Forecast = 3.2209 Date_of_death = Dec2014 Forecast = 2.6093 Date_of_death = Dec2014 Forecast = 2.6093 Date_of_death = Nov2014 Forecast = 3.2603 Date_of_death = Nov2014 Forecast = 3.2603 Date_of_death = Oct2014 Forecast = 3.1300 Date_of_death = Oct2014 Forecast = 3.1300 Date_of_death = Sep2014 Forecast = 3.2314 Date_of_death = Sep2014 Forecast = 3.2314 Date_of_death = Aug2014 Forecast = 3.2457 Date_of_death = Aug2014 Forecast = 3.2457 Date_of_death = Jul2014 Forecast = 2.7347 Date_of_death = Jul2014 Forecast = 2.7347 Date_of_death = Jun2014 Forecast = 3.1408 Date_of_death = Jun2014 Forecast = 3.1408 Date_of_death = May2014 Forecast = 2.8453 Date_of_death = May2014 Forecast = 2.8453 Date_of_death = Apr2014 Forecast = 3.1550 Date_of_death = Apr2014 Forecast = 3.1550 Date_of_death = Mar2014 Forecast = 4.0683 Date_of_death = Mar2014 Forecast = 4.0683 Date_of_death = Feb2014 Forecast = 4.7258 Date_of_death = Feb2014 Forecast = 4.7258 Date_of_death = Jan2014 Forecast = 3.4842 Date_of_death = Jan2014 Forecast = 3.4842 Date_of_death = Dec2013 Forecast = 2.4566 Date_of_death = Dec2013 Forecast = 2.4566 Date_of_death = Nov2013 Forecast = 3.3784 Date_of_death = Nov2013 Forecast = 3.3784 Date_of_death = Oct2013 Forecast = 3.3037 Date_of_death = Oct2013 Forecast = 3.3037 Date_of_death = Sep2013 Forecast = 3.4040 Date_of_death = Sep2013 Forecast = 3.4040 Date_of_death = Aug2013 Forecast = 3.0361 Date_of_death = Aug2013 Forecast = 3.0361 Date_of_death = Jul2013 Forecast = 2.9654 Date_of_death = Jul2013 Forecast = 2.9654 Date_of_death = Jun2013 Forecast = 2.9118 Date_of_death = Jun2013 Forecast = 2.9118 Date_of_death = May2013 Forecast = 3.0898 Date_of_death = May2013 Forecast = 3.0898 Date_of_death = Apr2013 Forecast = 2.9507 Date_of_death = Apr2013 Forecast = 2.9507 Date_of_death = Mar2013 Forecast = 3.9979 Date_of_death = Mar2013 Forecast = 3.9979 Date_of_death = Feb2013 Forecast = 4.6755 Date_of_death = Feb2013 Forecast = 4.6755 Date_of_death = Jan2013 Forecast = 3.3509 Date_of_death = Jan2013 Forecast = 3.3509 Date_of_death = Dec2012 Forecast = 2.5067 Date_of_death = Dec2012 Forecast = 2.5067 Date_of_death = Nov2012 Forecast = 3.6013 Date_of_death = Nov2012 Forecast = 3.6013 Date_of_death = Oct2012 Forecast = 3.4936 Date_of_death = Oct2012 Forecast = 3.4936 Date_of_death = Sep2012 Forecast = 3.2255 Date_of_death = Sep2012 Forecast = 3.2255 Date_of_death = Aug2012 Forecast = 3.1430 Date_of_death = Aug2012 Forecast = 3.1430 Date_of_death = Jul2012 Forecast = 3.0862 Date_of_death = Jul2012 Forecast = 3.0862 Date_of_death = Jun2012 Forecast = 3.0804 Date_of_death = Jun2012 Forecast = 3.0804 Date_of_death = May2012 Forecast = 3.3223 Date_of_death = May2012 Forecast = 3.3223 Date_of_death = Apr2012 Forecast = 2.7125 Date_of_death = Apr2012 Forecast = 2.7125 Date_of_death = Mar2012 Forecast = 3.9187 Date_of_death = Mar2012 Forecast = 3.9187 Date_of_death = Feb2012 Forecast = 4.6756 Date_of_death = Feb2012 Forecast = 4.6756 Date_of_death = Jan2012 Forecast = 3.6050 Date_of_death = Jan2012 Forecast = 3.6050 Date_of_death = Dec2011 Forecast = 2.1558 Date_of_death = Dec2011 Forecast = 2.1558 Date_of_death = Nov2011 Forecast = 3.8997 Date_of_death = Nov2011 Forecast = 3.8997 Date_of_death = Oct2011 Forecast = 3.7734 Date_of_death = Oct2011 Forecast = 3.7734 Date_of_death = Sep2011 Forecast = 3.4363 Date_of_death = Sep2011 Forecast = 3.4363 Date_of_death = Aug2011 Forecast = 3.0022 Date_of_death = Aug2011 Forecast = 3.0022 Date_of_death = Jul2011 Forecast = 2.8478 Date_of_death = Jul2011 Forecast = 2.8478 Date_of_death = Jun2011 Forecast = 3.1993 Date_of_death = Jun2011 Forecast = 3.1993 Date_of_death = May2011 Forecast = 3.6079 Date_of_death = May2011 Forecast = 3.6079 Date_of_death = Apr2011 Forecast = 2.8955 Date_of_death = Apr2011 Forecast = 2.8955 Date_of_death = Mar2011 Forecast = 3.7760 Date_of_death = Mar2011 Forecast = 3.7760 Date_of_death = Feb2011 Forecast = 4.6179 Date_of_death = Feb2011 Forecast = 4.6179 Date_of_death = Jan2011 Forecast = 3.4831 Date_of_death = Jan2011 Forecast = 3.4831 Date_of_death = Dec2010 Forecast = 1.7867 Date_of_death = Dec2010 Forecast = 1.7867 Date_of_death = Nov2010 Forecast = 3.7630 Date_of_death = Nov2010 Forecast = 3.7630 Date_of_death = Oct2010 Forecast = 3.6067 Date_of_death = Oct2010 Forecast = 3.6067 Date_of_death = Sep2010 Forecast = 3.2712 Date_of_death = Sep2010 Forecast = 3.2712 Date_of_death = Aug2010 Forecast = 2.8004 Date_of_death = Aug2010 Forecast = 2.8004 Date_of_death = Jul2010 Forecast = 3.0820 Date_of_death = Jul2010 Forecast = 3.0820 Date_of_death = Jun2010 Forecast = 2.9259 Date_of_death = Jun2010 Forecast = 2.9259 Date_of_death = May2010 Forecast = 3.4345 Date_of_death = May2010 Forecast = 3.4345 Date_of_death = Apr2010 Forecast = 3.1594 Date_of_death = Apr2010 Forecast = 3.1594 Date_of_death = Mar2010 Forecast = 3.7323 Date_of_death = Mar2010 Forecast = 3.7323 Date_of_death = Feb2010 Forecast = 4.5922 Date_of_death = Feb2010 Forecast = 4.5922 Date_of_death = Jan2010 Forecast = 3.3385 Date_of_death = Jan2010 Forecast = 3.3385 Date_of_death = Dec2009 Forecast = 1.3925 Date_of_death = Dec2009 Forecast = 1.3925 Date_of_death = Nov2009 Forecast = 3.6493 Date_of_death = Nov2009 Forecast = 3.6493 Date_of_death = Oct2009 Forecast = 3.4558 Date_of_death = Oct2009 Forecast = 3.4558 Date_of_death = Sep2009 Forecast = 3.6105 Date_of_death = Sep2009 Forecast = 3.6105 Date_of_death = Aug2009 Forecast = 2.4628 Date_of_death = Aug2009 Forecast = 2.4628 Date_of_death = Jul2009 Forecast = 3.4038 Date_of_death = Jul2009 Forecast = 3.4038 Date_of_death = Jun2009 Forecast = 3.1761 Date_of_death = Jun2009 Forecast = 3.1761 Date_of_death = May2009 Forecast = 3.1826 Date_of_death = May2009 Forecast = 3.1826 Date_of_death = Apr2009 Forecast = 2.9356 Date_of_death = Apr2009 Forecast = 2.9356 Date_of_death = Mar2009 Forecast = 4.1177 Date_of_death = Mar2009 Forecast = 4.1177 Date_of_death = Feb2009 Forecast = 4.5295 Date_of_death = Feb2009 Forecast = 4.5295 Date_of_death = Jan2009 Forecast = 3.6905 Date_of_death = Jan2009 Forecast = 3.6905 Date_of_death = Dec2008 Forecast = 1.1516 Date_of_death = Dec2008 Forecast = 1.1516 Date_of_death = Nov2008 Forecast = 4.0624 Date_of_death = Nov2008 Forecast = 4.0624 Date_of_death = Oct2008 Forecast = 3.1806 Date_of_death = Oct2008 Forecast = 3.1806 Date_of_death = Sep2008 Forecast = 3.4512 Date_of_death = Sep2008 Forecast = 3.4512 Date_of_death = Aug2008 Forecast = 2.0844 Date_of_death = Aug2008 Forecast = 2.0844 Date_of_death = Jul2008 Forecast = 3.1756 Date_of_death = Jul2008 Forecast = 3.1756 Date_of_death = Jun2008 Forecast = 3.5251 Date_of_death = Jun2008 Forecast = 3.5251 Date_of_death = May2008 Forecast = 3.4979 Date_of_death = May2008 Forecast = 3.4979 Date_of_death = Apr2008 Forecast = 2.5838 Date_of_death = Apr2008 Forecast = 2.5838 Date_of_death = Mar2008 Forecast = 4.0148 Date_of_death = Mar2008 Forecast = 4.0148 Date_of_death = Feb2008 Forecast = 5.0190 Date_of_death = Feb2008 Forecast = 5.0190 Date_of_death = Jan2008 Forecast = 3.4863 Date_of_death = Jan2008 Forecast = 3.4863 Date_of_death = Dec2007 Forecast = 1.1578 Date_of_death = Dec2007 Forecast = 1.1578 Date_of_death = Nov2007 Forecast = 3.9289 Date_of_death = Nov2007 Forecast = 3.9289 Date_of_death = Oct2007 Forecast = 2.9123 Date_of_death = Oct2007 Forecast = 2.9123 Date_of_death = Sep2007 Forecast = 3.2472 Date_of_death = Sep2007 Forecast = 3.2472 Date_of_death = Aug2007 Forecast = 2.2889 Date_of_death = Aug2007 Forecast = 2.2889 Date_of_death = Jul2007 Forecast = 2.8491 Date_of_death = Jul2007 Forecast = 2.8491 Date_of_death = Jun2007 Forecast = 3.2807 Date_of_death = Jun2007 Forecast = 3.2807 Date_of_death = May2007 Forecast = 3.9348 Date_of_death = May2007 Forecast = 3.9348 Date_of_death = Apr2007 Forecast = 2.8251 Date_of_death = Apr2007 Forecast = 2.8251 Date_of_death = Mar2007 Forecast = 3.8042 Date_of_death = Mar2007 Forecast = 3.8042 Date_of_death = Feb2007 Forecast = 5.0454 Date_of_death = Feb2007 Forecast = 5.0454 Date_of_death = Jan2007 Forecast = 3.8832 Date_of_death = Jan2007 Forecast = 3.8832 Date_of_death = Dec2006 Forecast = 1.1759 Date_of_death = Dec2006 Forecast = 1.1759 Date_of_death = Nov2006 Forecast = 4.2974 Date_of_death = Nov2006 Forecast = 4.2974 Date_of_death = Oct2006 Forecast = 2.5324 Date_of_death = Oct2006 Forecast = 2.5324 Date_of_death = Sep2006 Forecast = 3.6613 Date_of_death = Sep2006 Forecast = 3.6613 Date_of_death = Aug2006 Forecast = 2.3434 Date_of_death = Aug2006 Forecast = 2.3434 Date_of_death = Jul2006 Forecast = 2.4698 Date_of_death = Jul2006 Forecast = 2.4698 Date_of_death = Jun2006 Forecast = 3.6866 Date_of_death = Jun2006 Forecast = 3.6866 Date_of_death = May2006 Forecast = 3.7073 Date_of_death = May2006 Forecast = 3.7073 Date_of_death = Apr2006 Forecast = 3.1763 Date_of_death = Apr2006 Forecast = 3.1763 Date_of_death = Mar2006 Forecast = 4.3003 Date_of_death = Mar2006 Forecast = 4.3003 Date_of_death = Feb2006 Forecast = 5.0065 Date_of_death = Feb2006 Forecast = 5.0065 Date_of_death = Jan2006 Forecast = 3.6779 Date_of_death = Jan2006 Forecast = 3.6779 Date_of_death = Dec2005 Forecast = 1.2034 Date_of_death = Dec2005 Forecast = 1.2034 Date_of_death = Nov2005 Forecast = 4.1657 Date_of_death = Nov2005 Forecast = 4.1657 Date_of_death = Oct2005 Forecast = 2.8431 Date_of_death = Oct2005 Forecast = 2.8431 Date_of_death = Sep2005 Forecast = 3.3625 Date_of_death = Sep2005 Forecast = 3.3625 Date_of_death = Aug2005 Forecast = 1.8051 Date_of_death = Aug2005 Forecast = 1.8051 Date_of_death = Jul2005 Forecast = 2.5668 Date_of_death = Jul2005 Forecast = 2.5668 Date_of_death = Jun2005 Forecast = 3.4133 Date_of_death = Jun2005 Forecast = 3.4133 Date_of_death = May2005 Forecast = 3.4227 Date_of_death = May2005 Forecast = 3.4227 Date_of_death = Apr2005 Forecast = 3.4102 Date_of_death = Apr2005 Forecast = 3.4102 Date_of_death = Mar2005 Forecast = 4.9973 Date_of_death = Mar2005 Forecast = 4.9973 Date_of_death = Feb2005 Forecast = 4.9960 Date_of_death = Feb2005 Forecast = 4.9960 Date_of_death = Jan2005 Forecast = 3.3939 Date_of_death = Jan2005 Forecast = 3.3939 Date_of_death = Dec2004 Forecast = 1.2706 Date_of_death = Dec2004 Forecast = 1.2706 Date_of_death = Nov2004 Forecast = 4.9798 Date_of_death = Nov2004 Forecast = 4.9798 Date_of_death = Oct2004 Forecast = 2.2722 Date_of_death = Oct2004 Forecast = 2.2722 Date_of_death = Sep2004 Forecast = 2.9690 Date_of_death = Sep2004 Forecast = 2.9690 Date_of_death = Aug2004 Forecast = 2.0212 Date_of_death = Aug2004 Forecast = 2.0212 Date_of_death = Jul2004 Forecast = 2.9833 Date_of_death = Jul2004 Forecast = 2.9833 Date_of_death = Jun2004 Forecast = 3.0001 Date_of_death = Jun2004 Forecast = 3.0001 Date_of_death = May2004 Forecast = 3.0092 Date_of_death = May2004 Forecast = 3.0092 Date_of_death = Apr2004 Forecast = 2.9754 Date_of_death = Apr2004 Forecast = 2.9754 Date_of_death = Mar2004 Forecast = 5.0061 Date_of_death = Mar2004 Forecast = 5.0061 Date_of_death = Feb2004 Forecast = 5.0063 Date_of_death = Feb2004 Forecast = 5.0063 Date_of_death = Jan2004 Forecast = 4.0184 Date_of_death = Jan2004 Forecast = 4.0184 Date_of_death = Dec2003 Forecast = 1.3264 Date_of_death = Dec2003 Forecast = 1.3264 Date_of_death = Nov2003 Forecast = 4.9886 Date_of_death = Nov2003 Forecast = 4.9886 Date_of_death = Oct2003 Forecast = 1.3491 Date_of_death = Oct2003 Forecast = 1.3491 Date_of_death = Sep2003 Forecast = 3.6513 Date_of_death = Sep2003 Forecast = 3.6513 Date_of_death = Aug2003 Forecast = 2.3497 Date_of_death = Aug2003 Forecast = 2.3497 Date_of_death = Jul2003 Forecast = 2.2990 Date_of_death = Jul2003 Forecast = 2.2990 Date_of_death = Jun2003 Forecast = 2.3362 Date_of_death = Jun2003 Forecast = 2.3362 Date_of_death = May2003 Forecast = 2.3485 Date_of_death = May2003 Forecast = 2.3485 Date_of_death = Apr2003 Forecast = 3.6625 Date_of_death = Apr2003 Forecast = 3.6625 Date_of_death = Mar2003 Forecast = 4.9985 Date_of_death = Mar2003 Forecast = 4.9985 Date_of_death = Feb2003 Forecast = 4.9898 Date_of_death = Feb2003 Forecast = 4.9898 Date_of_death = Jan2003 Forecast = 3.6801 Date_of_death = Jan2003 Forecast = 3.6801 Date_of_death = Dec2002 Forecast = 1.4964 Date_of_death = Dec2002 Forecast = 1.4964 Date_of_death = Nov2002 Forecast = 5.0013 Date_of_death = Nov2002 Forecast = 5.0013 Date_of_death = Oct2002 Forecast = 1.5119 Date_of_death = Oct2002 Forecast = 1.5119 Date_of_death = Sep2002 Forecast = 4.9889 Date_of_death = Sep2002 Forecast = 4.9889 Date_of_death = Aug2002 Forecast = 1.0082 Date_of_death = Aug2002 Forecast = 1.0082 Date_of_death = Jul2002 Forecast = 2.9834 Date_of_death = Jul2002 Forecast = 2.9834 Date_of_death = Jun2002 Forecast = 0.9928 Date_of_death = Jun2002 Forecast = 0.9928 Date_of_death = May2002 Forecast = 0.9979 Date_of_death = May2002 Forecast = 0.9979 Date_of_death = Apr2002 Forecast = 2.9938 Date_of_death = Apr2002 Forecast = 2.9938 Date_of_death = Mar2002 Forecast = 5.0031 Date_of_death = Mar2002 Forecast = 5.0031 Date_of_death = Feb2002 Forecast = 4.9917 Date_of_death = Feb2002 Forecast = 4.9917 Date_of_death = Jan2002 Forecast = 3.0078 Date_of_death = Jan2002 Forecast = 3.0078 Date_of_death = Dec2001 Forecast = 2.0000 Date_of_death = Dec2001 Forecast = 2.0000 Date_of_death = Nov2001 Forecast = 4.9984 Date_of_death = Nov2001 Forecast = 4.9984 Date_of_death = Oct2001 Forecast = 1.0000 Date_of_death = Oct2001 Forecast = 1.0000 Date_of_death = Sep2001 Forecast = 5.0000 Date_of_death = Sep2001 Forecast = 5.0000 Date_of_death = Aug2001 Forecast = 1.0062 Date_of_death = Aug2001 Forecast = 1.0062 Date_of_death = Jul2001 Forecast = 5.0000 Date_of_death = Jul2001 Forecast = 5.0000 Date_of_death = Jun2001 Forecast = 1.0000 Date_of_death = Jun2001 Forecast = 1.0000 Date_of_death = May2001 Forecast = 1.0062 Date_of_death = May2001 Forecast = 1.0062 Date_of_death = Apr2001 Forecast = 5.0000 Date_of_death = Apr2001 Forecast = 5.0000 Date_of_death = Mar2001 Forecast = 5.0000 Date_of_death = Mar2001 Forecast = 5.0000 Date_of_death = Feb2001 Forecast = 4.9938 Date_of_death = Feb2001 Forecast = 4.9938 Date_of_death = Jan2001 Forecast = 1.0000 Date_of_death = Sep2019 incidents = 1.0000 Date_of_death = Aug2019 incidents = 5.0000 Date_of_death = Jul2019 incidents = 5.0000 Date_of_death = Jun2019 incidents = 5.0000 Date_of_death = May2019 incidents = 5.0000 Date_of_death = Apr2019 incidents = 5.0000 Date_of_death = Mar2019 incidents = 2.0000 Date_of_death = Feb2019 incidents = 5.0000 Date_of_death = Jan2019 incidents = 5.0000 Date_of_death = Dec2018 incidents = 1.0000 Date_of_death = Nov2018 incidents = 1.0000 Date_of_death = Oct2018 incidents = 3.0000 Date_of_death = Sep2018 incidents = 1.0000 Date_of_death = Aug2018 incidents = 2.0000 Date_of_death = Jul2018 incidents = 5.0000 Date_of_death = Jun2018 incidents = 5.0000 Date_of_death = May2018 incidents = 3.0000 Date_of_death = Apr2018 incidents = 1.0000 Date_of_death = Mar2018 incidents = 1.0000 Date_of_death = Feb2018 incidents = 1.0000 Date_of_death = Jan2018 incidents = 5.0000 Date_of_death = Dec2017 incidents = 5.0000 Date_of_death = Nov2017 incidents = 5.0000 Date_of_death = Oct2017 incidents = 5.0000 Date_of_death = Sep2017 incidents = 5.0000 Date_of_death = Aug2017 incidents = 5.0000 Date_of_death = Jul2017 incidents = 2.0000 Date_of_death = Jun2017 incidents = 5.0000 Date_of_death = May2017 incidents = 5.0000 Date_of_death = Apr2017 incidents = 2.0000 Date_of_death = Mar2017 incidents = 5.0000 Date_of_death = Feb2017 incidents = 4.0000 Date_of_death = Jan2017 incidents = 2.0000 Date_of_death = Dec2016 incidents = 5.0000 Date_of_death = Nov2016 incidents = 2.0000 Date_of_death = Oct2016 incidents = 5.0000 Date_of_death = Sep2016 incidents = 2.0000 Date_of_death = Aug2016 incidents = 1.0000 Date_of_death = Jul2016 incidents = 1.0000 Date_of_death = Jun2016 incidents = 2.0000 Date_of_death = May2016 incidents = 5.0000 Date_of_death = Apr2016 incidents = 1.0000 Date_of_death = Mar2016 incidents = 5.0000 Date_of_death = Feb2016 incidents = 2.0000 Date_of_death = Jan2016 incidents = 5.0000 Date_of_death = Dec2015 incidents = 1.0000 Date_of_death = Nov2015 incidents = 1.0000 Date_of_death = Oct2015 incidents = 2.0000 Date_of_death = Sep2015 incidents = 5.0000 Date_of_death = Aug2015 incidents = 5.0000 Date_of_death = Jul2015 incidents = 5.0000 Date_of_death = Jun2015 incidents = 1.0000 Date_of_death = May2015 incidents = 5.0000 Date_of_death = Apr2015 incidents = 5.0000 Date_of_death = Mar2015 incidents = 1.0000 Date_of_death = Feb2015 incidents = 1.0000 Date_of_death = Jan2015 incidents = 3.0000 Date_of_death = Dec2014 incidents = 5.0000 Date_of_death = Nov2014 incidents = 5.0000 Date_of_death = Oct2014 incidents = 1.0000 Date_of_death = Sep2014 incidents = 1.0000 Date_of_death = Aug2014 incidents = 1.0000 Date_of_death = Jul2014 incidents = 3.0000 Date_of_death = Jun2014 incidents = 5.0000 Date_of_death = May2014 incidents = 2.0000 Date_of_death = Apr2014 incidents = 5.0000 Date_of_death = Mar2014 incidents = 5.0000 Date_of_death = Feb2014 incidents = 5.0000 Date_of_death = Jan2014 incidents = 1.0000 Date_of_death = Dec2013 incidents = 4.0000 Date_of_death = Nov2013 incidents = 2.0000 Date_of_death = Oct2013 incidents = 1.0000 Date_of_death = Sep2013 incidents = 1.0000 Date_of_death = Aug2013 incidents = 5.0000 Date_of_death = Jul2013 incidents = 1.0000 Date_of_death = Jun2013 incidents = 5.0000 Date_of_death = May2013 incidents = 1.0000 Date_of_death = Apr2013 incidents = 5.0000 Date_of_death = Mar2013 incidents = 5.0000 Date_of_death = Feb2013 incidents = 5.0000 Date_of_death = Jan2013 incidents = 5.0000 Date_of_death = Dec2012 incidents = 2.0000 Date_of_death = Nov2012 incidents = 1.0000 Date_of_death = Oct2012 incidents = 1.0000 Date_of_death = Sep2012 incidents = 5.0000 Date_of_death = Aug2012 incidents = 2.0000 Date_of_death = Jul2012 incidents = 2.0000 Date_of_death = Jun2012 incidents = 1.0000 Date_of_death = May2012 incidents = 1.0000 Date_of_death = Apr2012 incidents = 5.0000 Date_of_death = Mar2012 incidents = 5.0000 Date_of_death = Feb2012 incidents = 5.0000 Date_of_death = Jan2012 incidents = 1.0000 Date_of_death = Dec2011 incidents = 5.0000 Date_of_death = Nov2011 incidents = 1.0000 Date_of_death = Oct2011 incidents = 1.0000 Date_of_death = Sep2011 incidents = 1.0000 Date_of_death = Aug2011 incidents = 4.0000 Date_of_death = Jul2011 incidents = 5.0000 Date_of_death = Jun2011 incidents = 2.0000 Date_of_death = May2011 incidents = 1.0000 Date_of_death = Apr2011 incidents = 1.0000 Date_of_death = Mar2011 incidents = 5.0000 Date_of_death = Feb2011 incidents = 5.0000 Date_of_death = Jan2011 incidents = 5.0000 Date_of_death = Dec2010 incidents = 5.0000 Date_of_death = Nov2010 incidents = 5.0000 Date_of_death = Oct2010 incidents = 5.0000 Date_of_death = Sep2010 incidents = 5.0000 Date_of_death = Aug2010 incidents = 5.0000 Date_of_death = Jul2010 incidents = 1.0000 Date_of_death = Jun2010 incidents = 5.0000 Date_of_death = May2010 incidents = 5.0000 Date_of_death = Apr2010 incidents = 1.0000 Date_of_death = Mar2010 incidents = 4.0000 Date_of_death = Feb2010 incidents = 5.0000 Date_of_death = Jan2010 incidents = 5.0000 Date_of_death = Dec2009 incidents = 5.0000 Date_of_death = Nov2009 incidents = 5.0000 Date_of_death = Oct2009 incidents = 5.0000 Date_of_death = Sep2009 incidents = 1.0000 Date_of_death = Aug2009 incidents = 5.0000 Date_of_death = Jul2009 incidents = 1.0000 Date_of_death = Jun2009 incidents = 1.0000 Date_of_death = May2009 incidents = 5.0000 Date_of_death = Apr2009 incidents = 5.0000 Date_of_death = Mar2009 incidents = 1.0000 Date_of_death = Feb2009 incidents = 5.0000 Date_of_death = Jan2009 incidents = 1.0000 Date_of_death = Dec2008 incidents = 3.0000 Date_of_death = Nov2008 incidents = 1.0000 Date_of_death = Oct2008 incidents = 5.0000 Date_of_death = Sep2008 incidents = 5.0000 Date_of_death = Aug2008 incidents = 5.0000 Date_of_death = Jul2008 incidents = 5.0000 Date_of_death = Jun2008 incidents = 1.0000 Date_of_death = May2008 incidents = 1.0000 Date_of_death = Apr2008 incidents = 5.0000 Date_of_death = Mar2008 incidents = 5.0000 Date_of_death = Feb2008 incidents = 1.0000 Date_of_death = Jan2008 incidents = 5.0000 Date_of_death = Dec2007 incidents = 1.0000 Date_of_death = Nov2007 incidents = 5.0000 Date_of_death = Oct2007 incidents = 5.0000 Date_of_death = Sep2007 incidents = 5.0000 Date_of_death = Aug2007 incidents = 1.0000 Date_of_death = Jul2007 incidents = 5.0000 Date_of_death = Jun2007 incidents = 5.0000 Date_of_death = May2007 incidents = 1.0000 Date_of_death = Apr2007 incidents = 1.0000 Date_of_death = Mar2007 incidents = 5.0000 Date_of_death = Feb2007 incidents = 5.0000 Date_of_death = Jan2007 incidents = 1.0000 Date_of_death = Dec2006 incidents = 1.0000 Date_of_death = Nov2006 incidents = 2.0000 Date_of_death = Oct2006 incidents = 5.0000 Date_of_death = Sep2006 incidents = 1.0000 Date_of_death = Aug2006 incidents = 2.0000 Date_of_death = Jul2006 incidents = 5.0000 Date_of_death = Jun2006 incidents = 1.0000 Date_of_death = May2006 incidents = 5.0000 Date_of_death = Apr2006 incidents = 1.0000 Date_of_death = Mar2006 incidents = 1.0000 Date_of_death = Feb2006 incidents = 5.0000 Date_of_death = Jan2006 incidents = 5.0000 Date_of_death = Dec2005 incidents = 1.0000 Date_of_death = Nov2005 incidents = 5.0000 Date_of_death = Oct2005 incidents = 1.0000 Date_of_death = Sep2005 incidents = 5.0000 Date_of_death = Aug2005 incidents = 5.0000 Date_of_death = Jul2005 incidents = 2.0000 Date_of_death = Jun2005 incidents = 5.0000 Date_of_death = May2005 incidents = 5.0000 Date_of_death = Apr2005 incidents = 2.0000 Date_of_death = Mar2005 incidents = 1.0000 Date_of_death = Feb2005 incidents = 5.0000 Date_of_death = Jan2005 incidents = 5.0000 Date_of_death = Dec2004 incidents = 1.0000 Date_of_death = Nov2004 incidents = 1.0000 Date_of_death = Oct2004 incidents = 5.0000 Date_of_death = Sep2004 incidents = 5.0000 Date_of_death = Aug2004 incidents = 1.0000 Date_of_death = Jul2004 incidents = 1.0000 Date_of_death = Jun2004 incidents = 5.0000 Date_of_death = May2004 incidents = 5.0000 Date_of_death = Apr2004 incidents = 5.0000 Date_of_death = Mar2004 incidents = 5.0000 Date_of_death = Feb2004 incidents = 5.0000 Date_of_death = Jan2004 incidents = 1.0000 Date_of_death = Dec2003 incidents = 1.0000 Date_of_death = Nov2003 incidents = 5.0000 Date_of_death = Oct2003 incidents = 5.0000 Date_of_death = Sep2003 incidents = 1.0000 Date_of_death = Aug2003 incidents = 1.0000 Date_of_death = Jul2003 incidents = 5.0000 Date_of_death = Jun2003 incidents = 5.0000 Date_of_death = May2003 incidents = 5.0000 Date_of_death = Apr2003 incidents = 1.0000 Date_of_death = Mar2003 incidents = 5.0000 Date_of_death = Feb2003 incidents = 5.0000 Date_of_death = Jan2003 incidents = 5.0000 Date_of_death = Dec2002 incidents = 1.0000 Date_of_death = Nov2002 incidents = 5.0000 Date_of_death = Oct2002 incidents = 1.0000 Date_of_death = Sep2002 incidents = 1.0000 Date_of_death = Aug2002 incidents = 5.0000 Date_of_death = Jul2002 incidents = 1.0000 Date_of_death = Jun2002 incidents = 5.0000 Date_of_death = May2002 incidents = 5.0000 Date_of_death = Apr2002 incidents = 5.0000 Date_of_death = Mar2002 incidents = 5.0000 Date_of_death = Feb2002 incidents = 5.0000 Date_of_death = Jan2002 incidents = 5.0000 Date_of_death = Dec2001 incidents = 1.0000 Date_of_death = Nov2001 incidents = 5.0000 Date_of_death = Oct2001 incidents = 2.0000 Date_of_death = Sep2001 incidents = 5.0000 Date_of_death = Aug2001 incidents = 1.0000 Date_of_death = Jul2001 incidents = 1.0000 Date_of_death = Jun2001 incidents = 1.0000 Date_of_death = May2001 incidents = 1.0000 Date_of_death = Apr2001 incidents = 1.0000 Date_of_death = Mar2001 incidents = 5.0000 Date_of_death = Feb2001 incidents = 5.0000 Date_of_death = Jan2001 incidents = 5.0000 Date_of_death = Sep2020 Upper 95% = 6.6520 Lower 95% = -0.9431 Date_of_death = Aug2020 Upper 95% = 7.0382 Lower 95% = -0.5561 Date_of_death = Aug2020 Upper 95% = 7.0382 Lower 95% = -0.5561 Date_of_death = Jul2020 Upper 95% = 6.8205 Lower 95% = -0.7738 Date_of_death = Jul2020 Upper 95% = 6.8205 Lower 95% = -0.7738 Date_of_death = Jun2020 Upper 95% = 7.1294 Lower 95% = -0.4649 Date_of_death = Jun2020 Upper 95% = 7.1294 Lower 95% = -0.4649 Date_of_death = May2020 Upper 95% = 7.1775 Lower 95% = -0.4168 Date_of_death = May2020 Upper 95% = 7.1775 Lower 95% = -0.4168 Date_of_death = Apr2020 Upper 95% = 6.9357 Lower 95% = -0.6586 Date_of_death = Apr2020 Upper 95% = 6.9357 Lower 95% = -0.6586 Date_of_death = Mar2020 Upper 95% = 7.5424 Lower 95% = -0.0519 Date_of_death = Mar2020 Upper 95% = 7.5424 Lower 95% = -0.0519 Date_of_death = Feb2020 Upper 95% = 7.8362 Lower 95% = 0.2419 Date_of_death = Feb2020 Upper 95% = 7.8362 Lower 95% = 0.2419 Date_of_death = Jan2020 Upper 95% = 7.4021 Lower 95% = -0.1923 Date_of_death = Jan2020 Upper 95% = 7.4021 Lower 95% = -0.1923 Date_of_death = Dec2019 Upper 95% = 6.6801 Lower 95% = -0.9191 Date_of_death = Dec2019 Upper 95% = 6.6801 Lower 95% = -0.9191 Date_of_death = Nov2019 Upper 95% = 6.8125 Lower 95% = -0.7868 Date_of_death = Nov2019 Upper 95% = 6.8125 Lower 95% = -0.7868 Date_of_death = Oct2019 Upper 95% = 7.0441 Lower 95% = -0.5543
Forecast Plot

County=Harris

Series Span Summary

Estimation Span

County=Harris

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 6.00000 2.59746 1.82973

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 6.00000 2.59746 1.82973

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.66698
Level Error Variance 1.00012
Season Error Variance 3.19053

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -472.6
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 951.16
BIC (smaller is better) 961.4
AICC (smaller is better) 951.27
HQIC (smaller is better) 955.29
CAIC (smaller is better) 964.4
Likelihood Optimization Algorithm Converged in 7 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 3.25083 0.33011 9.85 <.0001
Level Error Variance 0.00245 0.0037309 0.66 0.5120
Season Error Variance 0.00169 0.01503 0.11 0.9105

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 4.09430
Root Mean Squared Error 2.02344
Mean Absolute Percentage Error 84.21610
Maximum Percent Error 83.18547
R-Square -0.24670
Adjusted R-Square -0.25799
Random Walk R-Square 0.35819
Amemiya's Adjusted R-Square -0.28055

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 0.10 0.7473
Level 1 99.94 <.0001
Season 11 9.71 0.5567

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.967147943 0.2968094

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00169

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error		 Chi-Square DF Pr > ChiSq
55 AUG2004 Additive Outlier 4.23819 1.8630817 5.17 1 0.0229
103 AUG2008 Additive Outlier 4.21711 1.8610898 5.13 1 0.0235
141 OCT2011 Additive Outlier 4.12340 1.8634283 4.90 1 0.0269

Residual Diagnostics Panel

Prediction Error = 6.7148 Percent = 0.0419 Prediction Error = 6.6364 Percent = 0.0573 Prediction Error = 6.6364 Percent = 0.0573 Prediction Error = 6.5581 Percent = 0.0773 Prediction Error = 6.5581 Percent = 0.0773 Prediction Error = 6.4797 Percent = 0.1031 Prediction Error = 6.4797 Percent = 0.1031 Prediction Error = 6.4014 Percent = 0.136 Prediction Error = 6.4014 Percent = 0.136 Prediction Error = 6.323 Percent = 0.1772 Prediction Error = 6.323 Percent = 0.1772 Prediction Error = 6.2447 Percent = 0.2283 Prediction Error = 6.2447 Percent = 0.2283 Prediction Error = 6.1663 Percent = 0.2909 Prediction Error = 6.1663 Percent = 0.2909 Prediction Error = 6.088 Percent = 0.3666 Prediction Error = 6.088 Percent = 0.3666 Prediction Error = 6.0096 Percent = 0.457 Prediction Error = 6.0096 Percent = 0.457 Prediction Error = 5.9313 Percent = 0.5638 Prediction Error = 5.9313 Percent = 0.5638 Prediction Error = 5.853 Percent = 0.6884 Prediction Error = 5.853 Percent = 0.6884 Prediction Error = 5.7746 Percent = 0.8321 Prediction Error = 5.7746 Percent = 0.8321 Prediction Error = 5.6963 Percent = 0.9961 Prediction Error = 5.6963 Percent = 0.9961 Prediction Error = 5.6179 Percent = 1.1811 Prediction Error = 5.6179 Percent = 1.1811 Prediction Error = 5.5396 Percent = 1.3878 Prediction Error = 5.5396 Percent = 1.3878 Prediction Error = 5.4612 Percent = 1.6162 Prediction Error = 5.4612 Percent = 1.6162 Prediction Error = 5.3829 Percent = 1.8662 Prediction Error = 5.3829 Percent = 1.8662 Prediction Error = 5.3045 Percent = 2.1371 Prediction Error = 5.3045 Percent = 2.1371 Prediction Error = 5.2262 Percent = 2.4278 Prediction Error = 5.2262 Percent = 2.4278 Prediction Error = 5.1478 Percent = 2.7369 Prediction Error = 5.1478 Percent = 2.7369 Prediction Error = 5.0695 Percent = 3.0625 Prediction Error = 5.0695 Percent = 3.0625 Prediction Error = 4.9911 Percent = 3.4021 Prediction Error = 4.9911 Percent = 3.4021 Prediction Error = 4.6777 Percent = 4.8411 Prediction Error = 4.6777 Percent = 4.8411 Prediction Error = 4.521 Percent = 5.5574 Prediction Error = 4.521 Percent = 5.5574 Prediction Error = 4.4427 Percent = 5.9004 Prediction Error = 4.4427 Percent = 5.9004 Prediction Error = 4.3643 Percent = 6.2276 Prediction Error = 4.3643 Percent = 6.2276 Prediction Error = 4.286 Percent = 6.5348 Prediction Error = 4.286 Percent = 6.5348 Prediction Error = 4.2077 Percent = 6.8181 Prediction Error = 4.2077 Percent = 6.8181 Prediction Error = 4.1293 Percent = 7.0742 Prediction Error = 4.1293 Percent = 7.0742 Prediction Error = 4.051 Percent = 7.2998 Prediction Error = 4.051 Percent = 7.2998 Prediction Error = 3.9726 Percent = 7.4928 Prediction Error = 3.9726 Percent = 7.4928 Prediction Error = 3.8943 Percent = 7.6513 Prediction Error = 3.8943 Percent = 7.6513 Prediction Error = 3.8159 Percent = 7.7744 Prediction Error = 3.8159 Percent = 7.7744 Prediction Error = 3.7376 Percent = 7.862 Prediction Error = 3.7376 Percent = 7.862 Prediction Error = 3.6592 Percent = 7.9147 Prediction Error = 3.6592 Percent = 7.9147 Prediction Error = 3.5809 Percent = 7.934 Prediction Error = 3.5809 Percent = 7.934 Prediction Error = 3.5025 Percent = 7.9222 Prediction Error = 3.5025 Percent = 7.9222 Prediction Error = 3.4242 Percent = 7.8825 Prediction Error = 3.4242 Percent = 7.8825 Prediction Error = 3.3458 Percent = 7.8184 Prediction Error = 3.3458 Percent = 7.8184 Prediction Error = 3.2675 Percent = 7.7345 Prediction Error = 3.2675 Percent = 7.7345 Prediction Error = 3.1891 Percent = 7.6357 Prediction Error = 3.1891 Percent = 7.6357 Prediction Error = 2.9541 Percent = 7.3054 Prediction Error = 2.9541 Percent = 7.3054 Prediction Error = 2.8757 Percent = 7.2039 Prediction Error = 2.8757 Percent = 7.2039 Prediction Error = 2.7974 Percent = 7.1169 Prediction Error = 2.7974 Percent = 7.1169 Prediction Error = 2.719 Percent = 7.05 Prediction Error = 2.719 Percent = 7.05 Prediction Error = 2.6407 Percent = 7.009 Prediction Error = 2.6407 Percent = 7.009 Prediction Error = 2.5624 Percent = 6.9986 Prediction Error = 2.5624 Percent = 6.9986 Prediction Error = 2.484 Percent = 7.0231 Prediction Error = 2.484 Percent = 7.0231 Prediction Error = 2.4057 Percent = 7.0859 Prediction Error = 2.4057 Percent = 7.0859 Prediction Error = 2.3273 Percent = 7.1897 Prediction Error = 2.3273 Percent = 7.1897 Prediction Error = 2.249 Percent = 7.336 Prediction Error = 2.249 Percent = 7.336 Prediction Error = 2.1706 Percent = 7.5253 Prediction Error = 2.1706 Percent = 7.5253 Prediction Error = 2.0923 Percent = 7.7572 Prediction Error = 2.0923 Percent = 7.7572 Prediction Error = 2.0139 Percent = 8.0307 Prediction Error = 2.0139 Percent = 8.0307 Prediction Error = 1.9356 Percent = 8.3437 Prediction Error = 1.9356 Percent = 8.3437 Prediction Error = 1.8572 Percent = 8.6937 Prediction Error = 1.8572 Percent = 8.6937 Prediction Error = 1.7789 Percent = 9.078 Prediction Error = 1.7789 Percent = 9.078 Prediction Error = 1.7005 Percent = 9.4934 Prediction Error = 1.7005 Percent = 9.4934 Prediction Error = 1.6222 Percent = 9.9371 Prediction Error = 1.6222 Percent = 9.9371 Prediction Error = 1.5438 Percent = 10.406 Prediction Error = 1.5438 Percent = 10.406 Prediction Error = 1.4655 Percent = 10.898 Prediction Error = 1.4655 Percent = 10.898 Prediction Error = 1.3871 Percent = 11.412 Prediction Error = 1.3871 Percent = 11.412 Prediction Error = 1.3088 Percent = 11.945 Prediction Error = 1.3088 Percent = 11.945 Prediction Error = 1.2304 Percent = 12.497 Prediction Error = 1.2304 Percent = 12.497 Prediction Error = 1.1521 Percent = 13.068 Prediction Error = 1.1521 Percent = 13.068 Prediction Error = 1.0737 Percent = 13.657 Prediction Error = 1.0737 Percent = 13.657 Prediction Error = 0.9954 Percent = 14.266 Prediction Error = 0.9954 Percent = 14.266 Prediction Error = 0.9171 Percent = 14.894 Prediction Error = 0.9171 Percent = 14.894 Prediction Error = 0.8387 Percent = 15.541 Prediction Error = 0.8387 Percent = 15.541 Prediction Error = 0.7604 Percent = 16.209 Prediction Error = 0.7604 Percent = 16.209 Prediction Error = 0.6037 Percent = 17.604 Prediction Error = 0.6037 Percent = 17.604 Prediction Error = 0.0552 Percent = 22.885 Prediction Error = 0.0552 Percent = 22.885 Prediction Error = -0.101 Percent = 24.36 Prediction Error = -0.101 Percent = 24.36 Prediction Error = -0.18 Percent = 25.056 Prediction Error = -0.18 Percent = 25.056 Prediction Error = -0.258 Percent = 25.714 Prediction Error = -0.258 Percent = 25.714 Prediction Error = -0.337 Percent = 26.323 Prediction Error = -0.337 Percent = 26.323 Prediction Error = -0.415 Percent = 26.875 Prediction Error = -0.415 Percent = 26.875 Prediction Error = -0.493 Percent = 27.361 Prediction Error = -0.493 Percent = 27.361 Prediction Error = -0.572 Percent = 27.77 Prediction Error = -0.572 Percent = 27.77 Prediction Error = -0.65 Percent = 28.094 Prediction Error = -0.65 Percent = 28.094 Prediction Error = -0.728 Percent = 28.327 Prediction Error = -0.728 Percent = 28.327 Prediction Error = -0.807 Percent = 28.46 Prediction Error = -0.807 Percent = 28.46 Prediction Error = -0.885 Percent = 28.489 Prediction Error = -0.885 Percent = 28.489 Prediction Error = -0.963 Percent = 28.409 Prediction Error = -0.963 Percent = 28.409 Prediction Error = -1.042 Percent = 28.219 Prediction Error = -1.042 Percent = 28.219 Prediction Error = -1.12 Percent = 27.917 Prediction Error = -1.12 Percent = 27.917 Prediction Error = -1.198 Percent = 27.506 Prediction Error = -1.198 Percent = 27.506 Prediction Error = -1.277 Percent = 26.987 Prediction Error = -1.277 Percent = 26.987 Prediction Error = -1.355 Percent = 26.365 Prediction Error = -1.355 Percent = 26.365 Prediction Error = -1.433 Percent = 25.647 Prediction Error = -1.433 Percent = 25.647 Prediction Error = -1.512 Percent = 24.84 Prediction Error = -1.512 Percent = 24.84 Prediction Error = -1.59 Percent = 23.954 Prediction Error = -1.59 Percent = 23.954 Prediction Error = -1.668 Percent = 22.998 Prediction Error = -1.668 Percent = 22.998 Prediction Error = -1.747 Percent = 21.983 Prediction Error = -1.747 Percent = 21.983 Prediction Error = -2.217 Percent = 15.318 Prediction Error = -2.217 Percent = 15.318 Prediction Error = -2.374 Percent = 13.142 Prediction Error = -2.374 Percent = 13.142 Prediction Error = -2.452 Percent = 12.105 Prediction Error = -2.452 Percent = 12.105 Prediction Error = -2.53 Percent = 11.11 Prediction Error = -2.53 Percent = 11.11 Prediction Error = -2.609 Percent = 10.163 Prediction Error = -2.609 Percent = 10.163 Prediction Error = -2.687 Percent = 9.2667 Prediction Error = -2.687 Percent = 9.2667 Prediction Error = -2.765 Percent = 8.4249 Prediction Error = -2.765 Percent = 8.4249 Prediction Error = -2.844 Percent = 7.6385 Prediction Error = -2.844 Percent = 7.6385 Prediction Error = -2.922 Percent = 6.9079 Prediction Error = -2.922 Percent = 6.9079 Prediction Error = -3 Percent = 6.2328 Prediction Error = -3 Percent = 6.2328 Prediction Error = -3.079 Percent = 5.6119 Prediction Error = -3.079 Percent = 5.6119 Prediction Error = -3.157 Percent = 5.0435 Prediction Error = -3.157 Percent = 5.0435 Prediction Error = -3.235 Percent = 4.5254 Prediction Error = -3.235 Percent = 4.5254 Prediction Error = -3.314 Percent = 4.0552 Prediction Error = -3.314 Percent = 4.0552 Prediction Error = -3.392 Percent = 3.6302 Prediction Error = -3.392 Percent = 3.6302 Prediction Error = -3.47 Percent = 3.2477 Prediction Error = -3.47 Percent = 3.2477 Prediction Error = -3.549 Percent = 2.9051 Prediction Error = -3.549 Percent = 2.9051 Prediction Error = -3.627 Percent = 2.5997 Prediction Error = -3.627 Percent = 2.5997 Prediction Error = -3.705 Percent = 2.329 Prediction Error = -3.705 Percent = 2.329 Prediction Error = -3.784 Percent = 2.0906 Prediction Error = -3.784 Percent = 2.0906 Prediction Error = -3.862 Percent = 1.8821 Prediction Error = -3.862 Percent = 1.8821 Prediction Error = -3.941 Percent = 1.7012 Prediction Error = -3.941 Percent = 1.7012 Prediction Error = -4.019 Percent = 1.5457 Prediction Error = -4.019 Percent = 1.5457 Prediction Error = -4.097 Percent = 1.4133 Prediction Error = -4.097 Percent = 1.4133 Prediction Error = -4.176 Percent = 1.3019 Prediction Error = -4.176 Percent = 1.3019 Prediction Error = -4.254 Percent = 1.209 Prediction Error = -4.254 Percent = 1.209 Prediction Error = -4.332 Percent = 1.1323 Prediction Error = -4.332 Percent = 1.1323 Prediction Error = -4.411 Percent = 1.0695 Prediction Error = -4.411 Percent = 1.0695 Prediction Error = -4.489 Percent = 1.0181 Prediction Error = -4.489 Percent = 1.0181 Prediction Error = -4.567 Percent = 0.9755 Prediction Error = -4.567 Percent = 0.9755 Prediction Error = -4.646 Percent = 0.9396 Prediction Error = -4.646 Percent = 0.9396 Prediction Error = -4.724 Percent = 0.908 Prediction Error = -4.724 Percent = 0.908 Prediction Error = -4.881 Percent = 0.8497 Prediction Error = -4.881 Percent = 0.8497 Prediction Error = -4.959 Percent = 0.8197 Prediction Error = -4.959 Percent = 0.8197 Prediction Error = -5.037 Percent = 0.7874 Prediction Error = -5.037 Percent = 0.7874 Prediction Error = -5.116 Percent = 0.752 Prediction Error = -5.116 Percent = 0.752 Prediction Error = -5.194 Percent = 0.7132 Prediction Error = -5.194 Percent = 0.7132 Prediction Error = -5.272 Percent = 0.6708 Prediction Error = -5.272 Percent = 0.6708 Prediction Error = -5.742 Percent = 0.3742 Prediction Error = -5.742 Percent = 0.3742 Prediction Error = -5.821 Percent = 0.326 Prediction Error = -5.821 Percent = 0.326 Prediction Error = -5.899 Percent = 0.2804 Prediction Error = -5.899 Percent = 0.2804 Prediction Error = -5.978 Percent = 0.2382 Prediction Error = -5.978 Percent = 0.2382 Prediction Error = -6.056 Percent = 0.1998 Prediction Error = -6.056 Percent = 0.1998 Prediction Error = -6.134 Percent = 0.1654 Prediction Error = -6.134 Percent = 0.1654 Prediction Error = -6.213 Percent = 0.1351 Prediction Error = -6.213 Percent = 0.1351 Prediction Error = -6.291 Percent = 0.1089 Prediction Error = -6.291 Percent = 0.1089 Prediction Error = -6.369 Percent = 0.0867 Prediction Error = -6.369 Percent = 0.0867 Prediction Error = -6.448 Percent = 0.0681 Prediction Error = -6.448 Percent = 0.0681 Prediction Error = -6.526 Percent = 0.0527 Prediction Error = -6.526 Percent = 0.0527 Prediction Error = -6.604 Percent = 0.0403 Prediction Error = -6.604 Percent = 0.0403 Prediction Error = -6.683 Percent = 0.0304 Prediction Error = -6.683 Percent = 0.0304 Prediction Error = -6.761 Percent = 0.0226 Prediction Error = 6.134 Percent = 0.2623 Prediction Error = 6.0726 Percent = 0.2872 Prediction Error = 6.0726 Percent = 0.2872 Prediction Error = 6.0111 Percent = 0.3141 Prediction Error = 6.0111 Percent = 0.3141 Prediction Error = 5.9497 Percent = 0.3432 Prediction Error = 5.9497 Percent = 0.3432 Prediction Error = 5.8883 Percent = 0.3746 Prediction Error = 5.8883 Percent = 0.3746 Prediction Error = 5.8268 Percent = 0.4086 Prediction Error = 5.8268 Percent = 0.4086 Prediction Error = 5.7654 Percent = 0.4452 Prediction Error = 5.7654 Percent = 0.4452 Prediction Error = 5.704 Percent = 0.4847 Prediction Error = 5.704 Percent = 0.4847 Prediction Error = 5.6425 Percent = 0.5272 Prediction Error = 5.6425 Percent = 0.5272 Prediction Error = 5.5811 Percent = 0.5728 Prediction Error = 5.5811 Percent = 0.5728 Prediction Error = 5.5197 Percent = 0.6219 Prediction Error = 5.5197 Percent = 0.6219 Prediction Error = 5.4582 Percent = 0.6746 Prediction Error = 5.4582 Percent = 0.6746 Prediction Error = 5.3968 Percent = 0.731 Prediction Error = 5.3968 Percent = 0.731 Prediction Error = 5.3354 Percent = 0.7914 Prediction Error = 5.3354 Percent = 0.7914 Prediction Error = 5.2739 Percent = 0.8561 Prediction Error = 5.2739 Percent = 0.8561 Prediction Error = 5.2125 Percent = 0.9251 Prediction Error = 5.2125 Percent = 0.9251 Prediction Error = 5.1511 Percent = 0.9989 Prediction Error = 5.1511 Percent = 0.9989 Prediction Error = 5.0896 Percent = 1.0775 Prediction Error = 5.0896 Percent = 1.0775 Prediction Error = 5.0282 Percent = 1.1612 Prediction Error = 5.0282 Percent = 1.1612 Prediction Error = 4.9668 Percent = 1.2503 Prediction Error = 4.9668 Percent = 1.2503 Prediction Error = 4.9053 Percent = 1.345 Prediction Error = 4.9053 Percent = 1.345 Prediction Error = 4.8439 Percent = 1.4455 Prediction Error = 4.8439 Percent = 1.4455 Prediction Error = 4.7825 Percent = 1.5521 Prediction Error = 4.7825 Percent = 1.5521 Prediction Error = 4.721 Percent = 1.6651 Prediction Error = 4.721 Percent = 1.6651 Prediction Error = 4.6596 Percent = 1.7846 Prediction Error = 4.6596 Percent = 1.7846 Prediction Error = 4.5982 Percent = 1.911 Prediction Error = 4.5982 Percent = 1.911 Prediction Error = 4.5367 Percent = 2.0444 Prediction Error = 4.5367 Percent = 2.0444 Prediction Error = 4.4753 Percent = 2.1852 Prediction Error = 4.4753 Percent = 2.1852 Prediction Error = 4.4139 Percent = 2.3334 Prediction Error = 4.4139 Percent = 2.3334 Prediction Error = 4.3524 Percent = 2.4895 Prediction Error = 4.3524 Percent = 2.4895 Prediction Error = 4.291 Percent = 2.6536 Prediction Error = 4.291 Percent = 2.6536 Prediction Error = 4.2296 Percent = 2.8258 Prediction Error = 4.2296 Percent = 2.8258 Prediction Error = 4.1681 Percent = 3.0065 Prediction Error = 4.1681 Percent = 3.0065 Prediction Error = 4.1067 Percent = 3.1958 Prediction Error = 4.1067 Percent = 3.1958 Prediction Error = 4.0453 Percent = 3.394 Prediction Error = 4.0453 Percent = 3.394 Prediction Error = 3.9838 Percent = 3.601 Prediction Error = 3.9838 Percent = 3.601 Prediction Error = 3.9224 Percent = 3.8173 Prediction Error = 3.9224 Percent = 3.8173 Prediction Error = 3.861 Percent = 4.0428 Prediction Error = 3.861 Percent = 4.0428 Prediction Error = 3.7995 Percent = 4.2776 Prediction Error = 3.7995 Percent = 4.2776 Prediction Error = 3.7381 Percent = 4.522 Prediction Error = 3.7381 Percent = 4.522 Prediction Error = 3.6767 Percent = 4.776 Prediction Error = 3.6767 Percent = 4.776 Prediction Error = 3.6152 Percent = 5.0395 Prediction Error = 3.6152 Percent = 5.0395 Prediction Error = 3.5538 Percent = 5.3128 Prediction Error = 3.5538 Percent = 5.3128 Prediction Error = 3.4924 Percent = 5.5957 Prediction Error = 3.4924 Percent = 5.5957 Prediction Error = 3.4309 Percent = 5.8883 Prediction Error = 3.4309 Percent = 5.8883 Prediction Error = 3.3695 Percent = 6.1904 Prediction Error = 3.3695 Percent = 6.1904 Prediction Error = 3.2466 Percent = 6.8233 Prediction Error = 3.2466 Percent = 6.8233 Prediction Error = 3.1238 Percent = 7.4933 Prediction Error = 3.1238 Percent = 7.4933 Prediction Error = 3.0009 Percent = 8.1989 Prediction Error = 3.0009 Percent = 8.1989 Prediction Error = 2.878 Percent = 8.938 Prediction Error = 2.878 Percent = 8.938 Prediction Error = 2.7552 Percent = 9.7081 Prediction Error = 2.7552 Percent = 9.7081 Prediction Error = 1.8337 Percent = 16.05 Prediction Error = 1.8337 Percent = 16.05 Prediction Error = 1.6494 Percent = 17.313 Prediction Error = 1.6494 Percent = 17.313 Prediction Error = 1.5265 Percent = 18.127 Prediction Error = 1.5265 Percent = 18.127 Prediction Error = 1.4036 Percent = 18.909 Prediction Error = 1.4036 Percent = 18.909 Prediction Error = 1.2808 Percent = 19.652 Prediction Error = 1.2808 Percent = 19.652 Prediction Error = 1.2193 Percent = 20.007 Prediction Error = 1.2193 Percent = 20.007 Prediction Error = 1.1579 Percent = 20.35 Prediction Error = 1.1579 Percent = 20.35 Prediction Error = 1.0965 Percent = 20.68 Prediction Error = 1.0965 Percent = 20.68 Prediction Error = 1.035 Percent = 20.996 Prediction Error = 1.035 Percent = 20.996 Prediction Error = 0.9736 Percent = 21.297 Prediction Error = 0.9736 Percent = 21.297 Prediction Error = 0.9122 Percent = 21.582 Prediction Error = 0.9122 Percent = 21.582 Prediction Error = 0.8507 Percent = 21.851 Prediction Error = 0.8507 Percent = 21.851 Prediction Error = 0.7893 Percent = 22.103 Prediction Error = 0.7893 Percent = 22.103 Prediction Error = 0.7279 Percent = 22.338 Prediction Error = 0.7279 Percent = 22.338 Prediction Error = 0.6664 Percent = 22.555 Prediction Error = 0.6664 Percent = 22.555 Prediction Error = 0.605 Percent = 22.752 Prediction Error = 0.605 Percent = 22.752 Prediction Error = 0.5436 Percent = 22.93 Prediction Error = 0.5436 Percent = 22.93 Prediction Error = 0.4821 Percent = 23.089 Prediction Error = 0.4821 Percent = 23.089 Prediction Error = 0.4207 Percent = 23.227 Prediction Error = 0.4207 Percent = 23.227 Prediction Error = 0.3593 Percent = 23.345 Prediction Error = 0.3593 Percent = 23.345 Prediction Error = 0.2978 Percent = 23.441 Prediction Error = 0.2978 Percent = 23.441 Prediction Error = 0.2364 Percent = 23.517 Prediction Error = 0.2364 Percent = 23.517 Prediction Error = 0.175 Percent = 23.571 Prediction Error = 0.175 Percent = 23.571 Prediction Error = 0.1135 Percent = 23.603 Prediction Error = 0.1135 Percent = 23.603 Prediction Error = 0.0521 Percent = 23.614 Prediction Error = 0.0521 Percent = 23.614 Prediction Error = -0.009 Percent = 23.603 Prediction Error = -0.009 Percent = 23.603 Prediction Error = -0.071 Percent = 23.571 Prediction Error = -0.071 Percent = 23.571 Prediction Error = -0.132 Percent = 23.517 Prediction Error = -0.132 Percent = 23.517 Prediction Error = -0.194 Percent = 23.441 Prediction Error = -0.194 Percent = 23.441 Prediction Error = -0.255 Percent = 23.345 Prediction Error = -0.255 Percent = 23.345 Prediction Error = -0.316 Percent = 23.227 Prediction Error = -0.316 Percent = 23.227 Prediction Error = -0.378 Percent = 23.089 Prediction Error = -0.378 Percent = 23.089 Prediction Error = -0.439 Percent = 22.93 Prediction Error = -0.439 Percent = 22.93 Prediction Error = -0.501 Percent = 22.752 Prediction Error = -0.501 Percent = 22.752 Prediction Error = -0.562 Percent = 22.555 Prediction Error = -0.562 Percent = 22.555 Prediction Error = -0.624 Percent = 22.338 Prediction Error = -0.624 Percent = 22.338 Prediction Error = -0.685 Percent = 22.103 Prediction Error = -0.685 Percent = 22.103 Prediction Error = -0.747 Percent = 21.851 Prediction Error = -0.747 Percent = 21.851 Prediction Error = -0.808 Percent = 21.582 Prediction Error = -0.808 Percent = 21.582 Prediction Error = -0.869 Percent = 21.297 Prediction Error = -0.869 Percent = 21.297 Prediction Error = -0.931 Percent = 20.996 Prediction Error = -0.931 Percent = 20.996 Prediction Error = -0.992 Percent = 20.68 Prediction Error = -0.992 Percent = 20.68 Prediction Error = -1.054 Percent = 20.35 Prediction Error = -1.054 Percent = 20.35 Prediction Error = -1.115 Percent = 20.007 Prediction Error = -1.115 Percent = 20.007 Prediction Error = -1.177 Percent = 19.652 Prediction Error = -1.177 Percent = 19.652 Prediction Error = -1.299 Percent = 18.909 Prediction Error = -1.299 Percent = 18.909 Prediction Error = -1.422 Percent = 18.127 Prediction Error = -1.422 Percent = 18.127 Prediction Error = -2.159 Percent = 13.024 Prediction Error = -2.159 Percent = 13.024 Prediction Error = -2.405 Percent = 11.327 Prediction Error = -2.405 Percent = 11.327 Prediction Error = -2.59 Percent = 10.104 Prediction Error = -2.59 Percent = 10.104 Prediction Error = -2.712 Percent = 9.3194 Prediction Error = -2.712 Percent = 9.3194 Prediction Error = -2.835 Percent = 8.5644 Prediction Error = -2.835 Percent = 8.5644 Prediction Error = -2.958 Percent = 7.8418 Prediction Error = -2.958 Percent = 7.8418 Prediction Error = -3.081 Percent = 7.1537 Prediction Error = -3.081 Percent = 7.1537 Prediction Error = -3.204 Percent = 6.5022 Prediction Error = -3.204 Percent = 6.5022 Prediction Error = -3.265 Percent = 6.1904 Prediction Error = -3.265 Percent = 6.1904 Prediction Error = -3.327 Percent = 5.8883 Prediction Error = -3.327 Percent = 5.8883 Prediction Error = -3.388 Percent = 5.5957 Prediction Error = -3.388 Percent = 5.5957 Prediction Error = -3.45 Percent = 5.3128 Prediction Error = -3.45 Percent = 5.3128 Prediction Error = -3.511 Percent = 5.0395 Prediction Error = -3.511 Percent = 5.0395 Prediction Error = -3.572 Percent = 4.776 Prediction Error = -3.572 Percent = 4.776 Prediction Error = -3.634 Percent = 4.522 Prediction Error = -3.634 Percent = 4.522 Prediction Error = -3.695 Percent = 4.2776 Prediction Error = -3.695 Percent = 4.2776 Prediction Error = -3.757 Percent = 4.0428 Prediction Error = -3.757 Percent = 4.0428 Prediction Error = -3.818 Percent = 3.8173 Prediction Error = -3.818 Percent = 3.8173 Prediction Error = -3.88 Percent = 3.601 Prediction Error = -3.88 Percent = 3.601 Prediction Error = -3.941 Percent = 3.394 Prediction Error = -3.941 Percent = 3.394 Prediction Error = -4.002 Percent = 3.1958 Prediction Error = -4.002 Percent = 3.1958 Prediction Error = -4.064 Percent = 3.0065 Prediction Error = -4.064 Percent = 3.0065 Prediction Error = -4.125 Percent = 2.8258 Prediction Error = -4.125 Percent = 2.8258 Prediction Error = -4.187 Percent = 2.6536 Prediction Error = -4.187 Percent = 2.6536 Prediction Error = -4.248 Percent = 2.4895 Prediction Error = -4.248 Percent = 2.4895 Prediction Error = -4.31 Percent = 2.3334 Prediction Error = -4.31 Percent = 2.3334 Prediction Error = -4.371 Percent = 2.1852 Prediction Error = -4.371 Percent = 2.1852 Prediction Error = -4.433 Percent = 2.0444 Prediction Error = -4.433 Percent = 2.0444 Prediction Error = -4.494 Percent = 1.911 Prediction Error = -4.494 Percent = 1.911 Prediction Error = -4.555 Percent = 1.7846 Prediction Error = -4.555 Percent = 1.7846 Prediction Error = -4.617 Percent = 1.6651 Prediction Error = -4.617 Percent = 1.6651 Prediction Error = -4.678 Percent = 1.5521 Prediction Error = -4.678 Percent = 1.5521 Prediction Error = -4.74 Percent = 1.4455 Prediction Error = -4.74 Percent = 1.4455 Prediction Error = -4.801 Percent = 1.345 Prediction Error = -4.801 Percent = 1.345 Prediction Error = -4.863 Percent = 1.2503 Prediction Error = -4.863 Percent = 1.2503 Prediction Error = -4.924 Percent = 1.1612 Prediction Error = -4.924 Percent = 1.1612 Prediction Error = -4.985 Percent = 1.0775 Prediction Error = -4.985 Percent = 1.0775 Prediction Error = -5.047 Percent = 0.9989 Prediction Error = -5.047 Percent = 0.9989 Prediction Error = -5.108 Percent = 0.9251 Prediction Error = -5.108 Percent = 0.9251 Prediction Error = -5.17 Percent = 0.8561 Prediction Error = -5.17 Percent = 0.8561 Prediction Error = -5.231 Percent = 0.7914 Prediction Error = -5.231 Percent = 0.7914 Prediction Error = -5.293 Percent = 0.731 Prediction Error = -5.293 Percent = 0.731 Prediction Error = -5.354 Percent = 0.6746 Prediction Error = -5.354 Percent = 0.6746 Prediction Error = -5.415 Percent = 0.6219 Prediction Error = -5.415 Percent = 0.6219 Prediction Error = -5.477 Percent = 0.5728 Prediction Error = -5.477 Percent = 0.5728 Prediction Error = -5.538 Percent = 0.5272 Prediction Error = -5.538 Percent = 0.5272 Prediction Error = -5.6 Percent = 0.4847 Prediction Error = -5.6 Percent = 0.4847 Prediction Error = -5.661 Percent = 0.4452 Prediction Error = -5.661 Percent = 0.4452 Prediction Error = -5.723 Percent = 0.4086 Prediction Error = -5.723 Percent = 0.4086 Prediction Error = -5.784 Percent = 0.3746 Prediction Error = -5.784 Percent = 0.3746 Prediction Error = -5.845 Percent = 0.3432 Prediction Error = -5.845 Percent = 0.3432 Prediction Error = -5.907 Percent = 0.3141 Prediction Error = -5.907 Percent = 0.3141 Prediction Error = -5.968 Percent = 0.2872 Prediction Error = -5.968 Percent = 0.2872 Prediction Error = -6.03 Percent = 0.2623 Prediction Error = 4.8 Percent = 3.5714 Prediction Error = 4.8 Percent = 3.5714 Prediction Error = 3.6 Percent = 8.4821 Prediction Error = 3.6 Percent = 8.4821 Prediction Error = 2.4 Percent = 6.25 Prediction Error = 2.4 Percent = 6.25 Prediction Error = 1.2 Percent = 12.054 Prediction Error = 1.2 Percent = 12.054 Prediction Error = 0 Percent = 25.893 Prediction Error = 0 Percent = 25.893 Prediction Error = -1.2 Percent = 29.464 Prediction Error = -1.2 Percent = 29.464 Prediction Error = -2.4 Percent = 11.161 Prediction Error = -2.4 Percent = 11.161 Prediction Error = -3.6 Percent = 2.2321 Prediction Error = -3.6 Percent = 2.2321 Prediction Error = -4.8 Percent = 0.8929 Prediction Error = -4.8 Percent = 0.8929 Quantile = 2.7718 Residual = 4.9911 Quantile = 2.4448 Residual = 4.9809 Quantile = 2.2667 Residual = 4.9611 Quantile = 2.1403 Residual = 4.6575 Quantile = 2.041 Residual = 4.5582 Quantile = 1.9585 Residual = 4.4873 Quantile = 1.8876 Residual = 4.3206 Quantile = 1.825 Residual = 4.3055 Quantile = 1.7688 Residual = 4.131 Quantile = 1.7178 Residual = 4.1257 Quantile = 1.6708 Residual = 4.071 Quantile = 1.6273 Residual = 4.0611 Quantile = 1.5866 Residual = 4.0403 Quantile = 1.5484 Residual = 4.006 Quantile = 1.5124 Residual = 3.9961 Quantile = 1.4782 Residual = 3.7517 Quantile = 1.4457 Residual = 3.7368 Quantile = 1.4146 Residual = 3.6874 Quantile = 1.3848 Residual = 3.6791 Quantile = 1.3562 Residual = 3.6706 Quantile = 1.3287 Residual = 3.6006 Quantile = 1.3022 Residual = 3.5963 Quantile = 1.2765 Residual = 3.5378 Quantile = 1.2516 Residual = 3.311 Quantile = 1.2275 Residual = 3.3025 Quantile = 1.2041 Residual = 3.2201 Quantile = 1.1814 Residual = 3.1949 Quantile = 1.1592 Residual = 2.9854 Quantile = 1.1376 Residual = 2.9758 Quantile = 1.1165 Residual = 2.9753 Quantile = 1.0959 Residual = 2.9405 Quantile = 1.0757 Residual = 2.9354 Quantile = 1.056 Residual = 2.8932 Quantile = 1.0367 Residual = 2.879 Quantile = 1.0177 Residual = 2.5061 Quantile = 0.9991 Residual = 2.3026 Quantile = 0.9809 Residual = 2.2915 Quantile = 0.963 Residual = 2.2875 Quantile = 0.9453 Residual = 2.2609 Quantile = 0.928 Residual = 1.9469 Quantile = 0.911 Residual = 1.825 Quantile = 0.8942 Residual = 1.7795 Quantile = 0.8776 Residual = 1.7406 Quantile = 0.8613 Residual = 1.7352 Quantile = 0.8452 Residual = 1.659 Quantile = 0.8293 Residual = 1.6449 Quantile = 0.8137 Residual = 1.5968 Quantile = 0.7982 Residual = 1.5225 Quantile = 0.7829 Residual = 1.4099 Quantile = 0.7678 Residual = 1.383 Quantile = 0.7529 Residual = 1.3299 Quantile = 0.7381 Residual = 1.3173 Quantile = 0.7235 Residual = 1.2597 Quantile = 0.7091 Residual = 1.2073 Quantile = 0.6948 Residual = 1.1705 Quantile = 0.6806 Residual = 1.1362 Quantile = 0.6666 Residual = 1.1229 Quantile = 0.6527 Residual = 1.0642 Quantile = 0.639 Residual = 1.0538 Quantile = 0.6253 Residual = 1.0097 Quantile = 0.6118 Residual = 1 Quantile = 0.5983 Residual = 0.9874 Quantile = 0.585 Residual = 0.8795 Quantile = 0.5718 Residual = 0.8143 Quantile = 0.5587 Residual = 0.781 Quantile = 0.5457 Residual = 0.7758 Quantile = 0.5328 Residual = 0.6989 Quantile = 0.5199 Residual = 0.6755 Quantile = 0.5072 Residual = 0.5876 Quantile = 0.4945 Residual = 0.5806 Quantile = 0.4819 Residual = 0.5519 Quantile = 0.4694 Residual = 0.5456 Quantile = 0.4569 Residual = 0.4842 Quantile = 0.4446 Residual = 0.4834 Quantile = 0.4323 Residual = 0.464 Quantile = 0.42 Residual = 0.4476 Quantile = 0.4078 Residual = 0.3712 Quantile = 0.3957 Residual = 0.3592 Quantile = 0.3837 Residual = 0.2979 Quantile = 0.3717 Residual = 0.2954 Quantile = 0.3597 Residual = 0.2683 Quantile = 0.3478 Residual = 0.2613 Quantile = 0.336 Residual = 0.2177 Quantile = 0.3242 Residual = 0.1667 Quantile = 0.3124 Residual = 0.1434 Quantile = 0.3007 Residual = 0.1225 Quantile = 0.289 Residual = 0.1015 Quantile = 0.2774 Residual = 0.1005 Quantile = 0.2658 Residual = 0.0993 Quantile = 0.2542 Residual = 0.0322 Quantile = 0.2427 Residual = 0.0317 Quantile = 0.2312 Residual = 0.0259 Quantile = 0.2197 Residual = 0.0194 Quantile = 0.2083 Residual = 0.0173 Quantile = 0.1969 Residual = 0.0085 Quantile = 0.1855 Residual = 0.0059 Quantile = 0.1741 Residual = -0.016 Quantile = 0.1628 Residual = -0.027 Quantile = 0.1515 Residual = -0.057 Quantile = 0.1402 Residual = -0.11 Quantile = 0.1289 Residual = -0.176 Quantile = 0.1176 Residual = -0.235 Quantile = 0.1064 Residual = -0.253 Quantile = 0.0952 Residual = -0.278 Quantile = 0.0839 Residual = -0.289 Quantile = 0.0727 Residual = -0.295 Quantile = 0.0615 Residual = -0.369 Quantile = 0.0503 Residual = -0.419 Quantile = 0.0391 Residual = -0.428 Quantile = 0.0279 Residual = -0.429 Quantile = 0.0168 Residual = -0.434 Quantile = 0.0056 Residual = -0.435 Quantile = -0.006 Residual = -0.441 Quantile = -0.017 Residual = -0.458 Quantile = -0.028 Residual = -0.496 Quantile = -0.039 Residual = -0.499 Quantile = -0.05 Residual = -0.5 Quantile = -0.062 Residual = -0.505 Quantile = -0.073 Residual = -0.516 Quantile = -0.084 Residual = -0.518 Quantile = -0.095 Residual = -0.527 Quantile = -0.106 Residual = -0.534 Quantile = -0.118 Residual = -0.545 Quantile = -0.129 Residual = -0.565 Quantile = -0.14 Residual = -0.575 Quantile = -0.151 Residual = -0.582 Quantile = -0.163 Residual = -0.662 Quantile = -0.174 Residual = -0.674 Quantile = -0.185 Residual = -0.721 Quantile = -0.197 Residual = -0.757 Quantile = -0.208 Residual = -0.767 Quantile = -0.22 Residual = -0.788 Quantile = -0.231 Residual = -0.798 Quantile = -0.243 Residual = -0.818 Quantile = -0.254 Residual = -0.826 Quantile = -0.266 Residual = -0.83 Quantile = -0.277 Residual = -0.837 Quantile = -0.289 Residual = -0.838 Quantile = -0.301 Residual = -0.84 Quantile = -0.312 Residual = -0.845 Quantile = -0.324 Residual = -0.856 Quantile = -0.336 Residual = -0.886 Quantile = -0.348 Residual = -0.928 Quantile = -0.36 Residual = -0.929 Quantile = -0.372 Residual = -0.939 Quantile = -0.384 Residual = -0.943 Quantile = -0.396 Residual = -0.953 Quantile = -0.408 Residual = -1.003 Quantile = -0.42 Residual = -1.004 Quantile = -0.432 Residual = -1.021 Quantile = -0.445 Residual = -1.029 Quantile = -0.457 Residual = -1.046 Quantile = -0.469 Residual = -1.059 Quantile = -0.482 Residual = -1.071 Quantile = -0.494 Residual = -1.077 Quantile = -0.507 Residual = -1.095 Quantile = -0.52 Residual = -1.1 Quantile = -0.533 Residual = -1.106 Quantile = -0.546 Residual = -1.123 Quantile = -0.559 Residual = -1.152 Quantile = -0.572 Residual = -1.192 Quantile = -0.585 Residual = -1.196 Quantile = -0.598 Residual = -1.232 Quantile = -0.612 Residual = -1.247 Quantile = -0.625 Residual = -1.259 Quantile = -0.639 Residual = -1.267 Quantile = -0.653 Residual = -1.316 Quantile = -0.667 Residual = -1.388 Quantile = -0.681 Residual = -1.398 Quantile = -0.695 Residual = -1.402 Quantile = -0.709 Residual = -1.407 Quantile = -0.724 Residual = -1.444 Quantile = -0.738 Residual = -1.447 Quantile = -0.753 Residual = -1.453 Quantile = -0.768 Residual = -1.456 Quantile = -0.783 Residual = -1.468 Quantile = -0.798 Residual = -1.494 Quantile = -0.814 Residual = -1.509 Quantile = -0.829 Residual = -1.511 Quantile = -0.845 Residual = -1.519 Quantile = -0.861 Residual = -1.529 Quantile = -0.878 Residual = -1.543 Quantile = -0.894 Residual = -1.554 Quantile = -0.911 Residual = -1.594 Quantile = -0.928 Residual = -1.612 Quantile = -0.945 Residual = -1.619 Quantile = -0.963 Residual = -1.631 Quantile = -0.981 Residual = -1.668 Quantile = -0.999 Residual = -1.678 Quantile = -1.018 Residual = -1.697 Quantile = -1.037 Residual = -1.714 Quantile = -1.056 Residual = -1.75 Quantile = -1.076 Residual = -1.801 Quantile = -1.096 Residual = -1.868 Quantile = -1.116 Residual = -1.869 Quantile = -1.138 Residual = -1.909 Quantile = -1.159 Residual = -1.949 Quantile = -1.181 Residual = -1.965 Quantile = -1.204 Residual = -1.974 Quantile = -1.228 Residual = -1.985 Quantile = -1.252 Residual = -2.017 Quantile = -1.276 Residual = -2.032 Quantile = -1.302 Residual = -2.069 Quantile = -1.329 Residual = -2.08 Quantile = -1.356 Residual = -2.082 Quantile = -1.385 Residual = -2.112 Quantile = -1.415 Residual = -2.157 Quantile = -1.446 Residual = -2.247 Quantile = -1.478 Residual = -2.312 Quantile = -1.512 Residual = -2.448 Quantile = -1.548 Residual = -2.451 Quantile = -1.587 Residual = -2.461 Quantile = -1.627 Residual = -2.529 Quantile = -1.671 Residual = -2.562 Quantile = -1.718 Residual = -2.648 Quantile = -1.769 Residual = -2.693 Quantile = -1.825 Residual = -2.894 Quantile = -1.888 Residual = -3.029 Quantile = -1.959 Residual = -3.125 Quantile = -2.041 Residual = -3.372 Quantile = -2.14 Residual = -3.405 Quantile = -2.267 Residual = -4.04 Quantile = -2.445 Residual = -5.012 Quantile = -2.772 Residual = -5.037 Slope = 2.0273 Y = 0.0521 Lag = 24 ACF = -0.075 Lag = 23 ACF = -0.052 Lag = 22 ACF = 0.0775 Lag = 21 ACF = 0.0019 Lag = 20 ACF = 0.0439 Lag = 19 ACF = 0.0233 Lag = 18 ACF = 0.1289 Lag = 17 ACF = 0.0144 Lag = 16 ACF = 0.0047 Lag = 15 ACF = -0.07 Lag = 14 ACF = -0.002 Lag = 13 ACF = -0.105 Lag = 12 ACF = 0.0104 Lag = 11 ACF = 0.0037 Lag = 10 ACF = 0.1162 Lag = 9 ACF = 0.0396 Lag = 8 ACF = 0.062 Lag = 7 ACF = -0.119 Lag = 6 ACF = -0.018 Lag = 5 ACF = -0.051 Lag = 4 ACF = 0.0379 Lag = 3 ACF = -0.084 Lag = 2 ACF = 0.0406 Lag = 1 ACF = 0.0383 Lag = 0 ACF = 1 Lag = 24 Lower = -0.145 Upper = 0.1453 Lag = 23 Lower = -0.145 Upper = 0.145 Lag = 23 Lower = -0.145 Upper = 0.145 Lag = 22 Lower = -0.144 Upper = 0.1443 Lag = 22 Lower = -0.144 Upper = 0.1443 Lag = 21 Lower = -0.144 Upper = 0.1443 Lag = 21 Lower = -0.144 Upper = 0.1443 Lag = 20 Lower = -0.144 Upper = 0.144 Lag = 20 Lower = -0.144 Upper = 0.144 Lag = 19 Lower = -0.144 Upper = 0.144 Lag = 19 Lower = -0.144 Upper = 0.144 Lag = 18 Lower = -0.142 Upper = 0.1419 Lag = 18 Lower = -0.142 Upper = 0.1419 Lag = 17 Lower = -0.142 Upper = 0.1419 Lag = 17 Lower = -0.142 Upper = 0.1419 Lag = 16 Lower = -0.142 Upper = 0.1419 Lag = 16 Lower = -0.142 Upper = 0.1419 Lag = 15 Lower = -0.141 Upper = 0.1412 Lag = 15 Lower = -0.141 Upper = 0.1412 Lag = 14 Lower = -0.141 Upper = 0.1412 Lag = 14 Lower = -0.141 Upper = 0.1412 Lag = 13 Lower = -0.14 Upper = 0.1399 Lag = 13 Lower = -0.14 Upper = 0.1399 Lag = 12 Lower = -0.14 Upper = 0.1398 Lag = 12 Lower = -0.14 Upper = 0.1398 Lag = 11 Lower = -0.14 Upper = 0.1398 Lag = 11 Lower = -0.14 Upper = 0.1398 Lag = 10 Lower = -0.138 Upper = 0.1381 Lag = 10 Lower = -0.138 Upper = 0.1381 Lag = 9 Lower = -0.138 Upper = 0.1379 Lag = 9 Lower = -0.138 Upper = 0.1379 Lag = 8 Lower = -0.137 Upper = 0.1374 Lag = 8 Lower = -0.137 Upper = 0.1374 Lag = 7 Lower = -0.136 Upper = 0.1355 Lag = 7 Lower = -0.136 Upper = 0.1355 Lag = 6 Lower = -0.136 Upper = 0.1355 Lag = 6 Lower = -0.136 Upper = 0.1355 Lag = 5 Lower = -0.135 Upper = 0.1352 Lag = 5 Lower = -0.135 Upper = 0.1352 Lag = 4 Lower = -0.135 Upper = 0.135 Lag = 4 Lower = -0.135 Upper = 0.135 Lag = 3 Lower = -0.134 Upper = 0.134 Lag = 3 Lower = -0.134 Upper = 0.134 Lag = 2 Lower = -0.134 Upper = 0.1338 Lag = 2 Lower = -0.134 Upper = 0.1338 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = -0.061 Lag = 23 PACF = -0.024 Lag = 22 PACF = 0.0687 Lag = 21 PACF = 0.017 Lag = 20 PACF = 0.0016 Lag = 19 PACF = 0.0046 Lag = 18 PACF = 0.1064 Lag = 17 PACF = 0.0456 Lag = 16 PACF = 0.0065 Lag = 15 PACF = -0.041 Lag = 14 PACF = -0.008 Lag = 13 PACF = -0.096 Lag = 12 PACF = -0.006 Lag = 11 PACF = 0.0088 Lag = 10 PACF = 0.0912 Lag = 9 PACF = 0.0437 Lag = 8 PACF = 0.0651 Lag = 7 PACF = -0.108 Lag = 6 PACF = -0.025 Lag = 5 PACF = -0.048 Lag = 4 PACF = 0.0433 Lag = 3 PACF = -0.087 Lag = 2 PACF = 0.0392 Lag = 1 PACF = 0.0383 Lag = 24 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Sep2019 Loess Fit = 0.3969 Date_of_death = Jul2019 Loess Fit = 0.393 Date_of_death = Jul2019 Loess Fit = 0.393 Date_of_death = Jun2019 Loess Fit = 0.3891 Date_of_death = Jun2019 Loess Fit = 0.3891 Date_of_death = May2019 Loess Fit = 0.3852 Date_of_death = May2019 Loess Fit = 0.3852 Date_of_death = Apr2019 Loess Fit = 0.3813 Date_of_death = Apr2019 Loess Fit = 0.3813 Date_of_death = Mar2019 Loess Fit = 0.3774 Date_of_death = Mar2019 Loess Fit = 0.3774 Date_of_death = Feb2019 Loess Fit = 0.3735 Date_of_death = Feb2019 Loess Fit = 0.3735 Date_of_death = Jan2019 Loess Fit = 0.3697 Date_of_death = Jan2019 Loess Fit = 0.3697 Date_of_death = Dec2018 Loess Fit = 0.3658 Date_of_death = Dec2018 Loess Fit = 0.3658 Date_of_death = Oct2018 Loess Fit = 0.3619 Date_of_death = Oct2018 Loess Fit = 0.3619 Date_of_death = Sep2018 Loess Fit = 0.358 Date_of_death = Sep2018 Loess Fit = 0.358 Date_of_death = Aug2018 Loess Fit = 0.3541 Date_of_death = Aug2018 Loess Fit = 0.3541 Date_of_death = Jul2018 Loess Fit = 0.3502 Date_of_death = Jul2018 Loess Fit = 0.3502 Date_of_death = Jun2018 Loess Fit = 0.3468 Date_of_death = Jun2018 Loess Fit = 0.3468 Date_of_death = May2018 Loess Fit = 0.344 Date_of_death = May2018 Loess Fit = 0.344 Date_of_death = Apr2018 Loess Fit = 0.3413 Date_of_death = Apr2018 Loess Fit = 0.3413 Date_of_death = Mar2018 Loess Fit = 0.3385 Date_of_death = Mar2018 Loess Fit = 0.3385 Date_of_death = Feb2018 Loess Fit = 0.3357 Date_of_death = Feb2018 Loess Fit = 0.3357 Date_of_death = Dec2017 Loess Fit = 0.333 Date_of_death = Dec2017 Loess Fit = 0.333 Date_of_death = Nov2017 Loess Fit = 0.3302 Date_of_death = Nov2017 Loess Fit = 0.3302 Date_of_death = Oct2017 Loess Fit = 0.3274 Date_of_death = Oct2017 Loess Fit = 0.3274 Date_of_death = Sep2017 Loess Fit = 0.3246 Date_of_death = Sep2017 Loess Fit = 0.3246 Date_of_death = Aug2017 Loess Fit = 0.3219 Date_of_death = Aug2017 Loess Fit = 0.3219 Date_of_death = Jul2017 Loess Fit = 0.3191 Date_of_death = Jul2017 Loess Fit = 0.3191 Date_of_death = Jun2017 Loess Fit = 0.3163 Date_of_death = Jun2017 Loess Fit = 0.3163 Date_of_death = May2017 Loess Fit = 0.3136 Date_of_death = May2017 Loess Fit = 0.3136 Date_of_death = Apr2017 Loess Fit = 0.311 Date_of_death = Apr2017 Loess Fit = 0.311 Date_of_death = Feb2017 Loess Fit = 0.3085 Date_of_death = Feb2017 Loess Fit = 0.3085 Date_of_death = Jan2017 Loess Fit = 0.306 Date_of_death = Jan2017 Loess Fit = 0.306 Date_of_death = Dec2016 Loess Fit = 0.3034 Date_of_death = Dec2016 Loess Fit = 0.3034 Date_of_death = Nov2016 Loess Fit = 0.3009 Date_of_death = Nov2016 Loess Fit = 0.3009 Date_of_death = Oct2016 Loess Fit = 0.2984 Date_of_death = Oct2016 Loess Fit = 0.2984 Date_of_death = Sep2016 Loess Fit = 0.2959 Date_of_death = Sep2016 Loess Fit = 0.2959 Date_of_death = Aug2016 Loess Fit = 0.2934 Date_of_death = Aug2016 Loess Fit = 0.2934 Date_of_death = Jul2016 Loess Fit = 0.2908 Date_of_death = Jul2016 Loess Fit = 0.2908 Date_of_death = May2016 Loess Fit = 0.2883 Date_of_death = May2016 Loess Fit = 0.2883 Date_of_death = Apr2016 Loess Fit = 0.2858 Date_of_death = Apr2016 Loess Fit = 0.2858 Date_of_death = Mar2016 Loess Fit = 0.2833 Date_of_death = Mar2016 Loess Fit = 0.2833 Date_of_death = Feb2016 Loess Fit = 0.28 Date_of_death = Feb2016 Loess Fit = 0.28 Date_of_death = Jan2016 Loess Fit = 0.2752 Date_of_death = Jan2016 Loess Fit = 0.2752 Date_of_death = Dec2015 Loess Fit = 0.2703 Date_of_death = Dec2015 Loess Fit = 0.2703 Date_of_death = Nov2015 Loess Fit = 0.2654 Date_of_death = Nov2015 Loess Fit = 0.2654 Date_of_death = Oct2015 Loess Fit = 0.2605 Date_of_death = Oct2015 Loess Fit = 0.2605 Date_of_death = Sep2015 Loess Fit = 0.2556 Date_of_death = Sep2015 Loess Fit = 0.2556 Date_of_death = Jul2015 Loess Fit = 0.2508 Date_of_death = Jul2015 Loess Fit = 0.2508 Date_of_death = Jun2015 Loess Fit = 0.2459 Date_of_death = Jun2015 Loess Fit = 0.2459 Date_of_death = May2015 Loess Fit = 0.241 Date_of_death = May2015 Loess Fit = 0.241 Date_of_death = Apr2015 Loess Fit = 0.2361 Date_of_death = Apr2015 Loess Fit = 0.2361 Date_of_death = Mar2015 Loess Fit = 0.2312 Date_of_death = Mar2015 Loess Fit = 0.2312 Date_of_death = Feb2015 Loess Fit = 0.2264 Date_of_death = Feb2015 Loess Fit = 0.2264 Date_of_death = Jan2015 Loess Fit = 0.2215 Date_of_death = Jan2015 Loess Fit = 0.2215 Date_of_death = Dec2014 Loess Fit = 0.2193 Date_of_death = Dec2014 Loess Fit = 0.2193 Date_of_death = Nov2014 Loess Fit = 0.218 Date_of_death = Nov2014 Loess Fit = 0.218 Date_of_death = Sep2014 Loess Fit = 0.2167 Date_of_death = Sep2014 Loess Fit = 0.2167 Date_of_death = Aug2014 Loess Fit = 0.2153 Date_of_death = Aug2014 Loess Fit = 0.2153 Date_of_death = Jul2014 Loess Fit = 0.214 Date_of_death = Jul2014 Loess Fit = 0.214 Date_of_death = Jun2014 Loess Fit = 0.2126 Date_of_death = Jun2014 Loess Fit = 0.2126 Date_of_death = May2014 Loess Fit = 0.2113 Date_of_death = May2014 Loess Fit = 0.2113 Date_of_death = Apr2014 Loess Fit = 0.21 Date_of_death = Apr2014 Loess Fit = 0.21 Date_of_death = Mar2014 Loess Fit = 0.2086 Date_of_death = Mar2014 Loess Fit = 0.2086 Date_of_death = Feb2014 Loess Fit = 0.2073 Date_of_death = Feb2014 Loess Fit = 0.2073 Date_of_death = Dec2013 Loess Fit = 0.2059 Date_of_death = Dec2013 Loess Fit = 0.2059 Date_of_death = Nov2013 Loess Fit = 0.2046 Date_of_death = Nov2013 Loess Fit = 0.2046 Date_of_death = Oct2013 Loess Fit = 0.202 Date_of_death = Oct2013 Loess Fit = 0.202 Date_of_death = Sep2013 Loess Fit = 0.1949 Date_of_death = Sep2013 Loess Fit = 0.1949 Date_of_death = Aug2013 Loess Fit = 0.1878 Date_of_death = Aug2013 Loess Fit = 0.1878 Date_of_death = Jul2013 Loess Fit = 0.1808 Date_of_death = Jul2013 Loess Fit = 0.1808 Date_of_death = Jun2013 Loess Fit = 0.1737 Date_of_death = Jun2013 Loess Fit = 0.1737 Date_of_death = May2013 Loess Fit = 0.1666 Date_of_death = May2013 Loess Fit = 0.1666 Date_of_death = Apr2013 Loess Fit = 0.1596 Date_of_death = Apr2013 Loess Fit = 0.1596 Date_of_death = Feb2013 Loess Fit = 0.1525 Date_of_death = Feb2013 Loess Fit = 0.1525 Date_of_death = Jan2013 Loess Fit = 0.1454 Date_of_death = Jan2013 Loess Fit = 0.1454 Date_of_death = Dec2012 Loess Fit = 0.1383 Date_of_death = Dec2012 Loess Fit = 0.1383 Date_of_death = Nov2012 Loess Fit = 0.1313 Date_of_death = Nov2012 Loess Fit = 0.1313 Date_of_death = Oct2012 Loess Fit = 0.1242 Date_of_death = Oct2012 Loess Fit = 0.1242 Date_of_death = Sep2012 Loess Fit = 0.1171 Date_of_death = Sep2012 Loess Fit = 0.1171 Date_of_death = Aug2012 Loess Fit = 0.1091 Date_of_death = Aug2012 Loess Fit = 0.1091 Date_of_death = Jul2012 Loess Fit = 0.1007 Date_of_death = Jul2012 Loess Fit = 0.1007 Date_of_death = Jun2012 Loess Fit = 0.0922 Date_of_death = Jun2012 Loess Fit = 0.0922 Date_of_death = Apr2012 Loess Fit = 0.0837 Date_of_death = Apr2012 Loess Fit = 0.0837 Date_of_death = Mar2012 Loess Fit = 0.0753 Date_of_death = Mar2012 Loess Fit = 0.0753 Date_of_death = Feb2012 Loess Fit = 0.0668 Date_of_death = Feb2012 Loess Fit = 0.0668 Date_of_death = Jan2012 Loess Fit = 0.0583 Date_of_death = Jan2012 Loess Fit = 0.0583 Date_of_death = Dec2011 Loess Fit = 0.0499 Date_of_death = Dec2011 Loess Fit = 0.0499 Date_of_death = Nov2011 Loess Fit = 0.0414 Date_of_death = Nov2011 Loess Fit = 0.0414 Date_of_death = Oct2011 Loess Fit = 0.0329 Date_of_death = Oct2011 Loess Fit = 0.0329 Date_of_death = Sep2011 Loess Fit = 0.0245 Date_of_death = Sep2011 Loess Fit = 0.0245 Date_of_death = Aug2011 Loess Fit = 0.016 Date_of_death = Aug2011 Loess Fit = 0.016 Date_of_death = Jun2011 Loess Fit = 0.0081 Date_of_death = Jun2011 Loess Fit = 0.0081 Date_of_death = May2011 Loess Fit = 0.0092 Date_of_death = May2011 Loess Fit = 0.0092 Date_of_death = Apr2011 Loess Fit = 0.0104 Date_of_death = Apr2011 Loess Fit = 0.0104 Date_of_death = Mar2011 Loess Fit = 0.0115 Date_of_death = Mar2011 Loess Fit = 0.0115 Date_of_death = Feb2011 Loess Fit = 0.0127 Date_of_death = Feb2011 Loess Fit = 0.0127 Date_of_death = Jan2011 Loess Fit = 0.0138 Date_of_death = Jan2011 Loess Fit = 0.0138 Date_of_death = Dec2010 Loess Fit = 0.015 Date_of_death = Dec2010 Loess Fit = 0.015 Date_of_death = Nov2010 Loess Fit = 0.0161 Date_of_death = Nov2010 Loess Fit = 0.0161 Date_of_death = Sep2010 Loess Fit = 0.0173 Date_of_death = Sep2010 Loess Fit = 0.0173 Date_of_death = Aug2010 Loess Fit = 0.0184 Date_of_death = Aug2010 Loess Fit = 0.0184 Date_of_death = Jul2010 Loess Fit = 0.0196 Date_of_death = Jul2010 Loess Fit = 0.0196 Date_of_death = Jun2010 Loess Fit = 0.0207 Date_of_death = Jun2010 Loess Fit = 0.0207 Date_of_death = May2010 Loess Fit = 0.0219 Date_of_death = May2010 Loess Fit = 0.0219 Date_of_death = Apr2010 Loess Fit = 0.0218 Date_of_death = Apr2010 Loess Fit = 0.0218 Date_of_death = Mar2010 Loess Fit = 0.0204 Date_of_death = Mar2010 Loess Fit = 0.0204 Date_of_death = Feb2010 Loess Fit = 0.019 Date_of_death = Feb2010 Loess Fit = 0.019 Date_of_death = Jan2010 Loess Fit = 0.0177 Date_of_death = Jan2010 Loess Fit = 0.0177 Date_of_death = Nov2009 Loess Fit = 0.0163 Date_of_death = Nov2009 Loess Fit = 0.0163 Date_of_death = Oct2009 Loess Fit = 0.0149 Date_of_death = Oct2009 Loess Fit = 0.0149 Date_of_death = Sep2009 Loess Fit = 0.0135 Date_of_death = Sep2009 Loess Fit = 0.0135 Date_of_death = Aug2009 Loess Fit = 0.0122 Date_of_death = Aug2009 Loess Fit = 0.0122 Date_of_death = Jul2009 Loess Fit = 0.0108 Date_of_death = Jul2009 Loess Fit = 0.0108 Date_of_death = Jun2009 Loess Fit = 0.0094 Date_of_death = Jun2009 Loess Fit = 0.0094 Date_of_death = May2009 Loess Fit = 0.0081 Date_of_death = May2009 Loess Fit = 0.0081 Date_of_death = Apr2009 Loess Fit = 0.0067 Date_of_death = Apr2009 Loess Fit = 0.0067 Date_of_death = Mar2009 Loess Fit = 0.0053 Date_of_death = Mar2009 Loess Fit = 0.0053 Date_of_death = Jan2009 Loess Fit = -0.003 Date_of_death = Jan2009 Loess Fit = -0.003 Date_of_death = Dec2008 Loess Fit = -0.011 Date_of_death = Dec2008 Loess Fit = -0.011 Date_of_death = Nov2008 Loess Fit = -0.02 Date_of_death = Nov2008 Loess Fit = -0.02 Date_of_death = Oct2008 Loess Fit = -0.028 Date_of_death = Oct2008 Loess Fit = -0.028 Date_of_death = Sep2008 Loess Fit = -0.036 Date_of_death = Sep2008 Loess Fit = -0.036 Date_of_death = Aug2008 Loess Fit = -0.045 Date_of_death = Aug2008 Loess Fit = -0.045 Date_of_death = Jul2008 Loess Fit = -0.053 Date_of_death = Jul2008 Loess Fit = -0.053 Date_of_death = Jun2008 Loess Fit = -0.062 Date_of_death = Jun2008 Loess Fit = -0.062 Date_of_death = May2008 Loess Fit = -0.07 Date_of_death = May2008 Loess Fit = -0.07 Date_of_death = Mar2008 Loess Fit = -0.078 Date_of_death = Mar2008 Loess Fit = -0.078 Date_of_death = Feb2008 Loess Fit = -0.087 Date_of_death = Feb2008 Loess Fit = -0.087 Date_of_death = Jan2008 Loess Fit = -0.095 Date_of_death = Jan2008 Loess Fit = -0.095 Date_of_death = Dec2007 Loess Fit = -0.104 Date_of_death = Dec2007 Loess Fit = -0.104 Date_of_death = Nov2007 Loess Fit = -0.115 Date_of_death = Nov2007 Loess Fit = -0.115 Date_of_death = Oct2007 Loess Fit = -0.126 Date_of_death = Oct2007 Loess Fit = -0.126 Date_of_death = Sep2007 Loess Fit = -0.136 Date_of_death = Sep2007 Loess Fit = -0.136 Date_of_death = Aug2007 Loess Fit = -0.147 Date_of_death = Aug2007 Loess Fit = -0.147 Date_of_death = Jul2007 Loess Fit = -0.157 Date_of_death = Jul2007 Loess Fit = -0.157 Date_of_death = May2007 Loess Fit = -0.168 Date_of_death = May2007 Loess Fit = -0.168 Date_of_death = Apr2007 Loess Fit = -0.179 Date_of_death = Apr2007 Loess Fit = -0.179 Date_of_death = Mar2007 Loess Fit = -0.189 Date_of_death = Mar2007 Loess Fit = -0.189 Date_of_death = Feb2007 Loess Fit = -0.2 Date_of_death = Feb2007 Loess Fit = -0.2 Date_of_death = Jan2007 Loess Fit = -0.21 Date_of_death = Jan2007 Loess Fit = -0.21 Date_of_death = Dec2006 Loess Fit = -0.221 Date_of_death = Dec2006 Loess Fit = -0.221 Date_of_death = Nov2006 Loess Fit = -0.231 Date_of_death = Nov2006 Loess Fit = -0.231 Date_of_death = Oct2006 Loess Fit = -0.245 Date_of_death = Oct2006 Loess Fit = -0.245 Date_of_death = Aug2006 Loess Fit = -0.259 Date_of_death = Aug2006 Loess Fit = -0.259 Date_of_death = Jul2006 Loess Fit = -0.273 Date_of_death = Jul2006 Loess Fit = -0.273 Date_of_death = Jun2006 Loess Fit = -0.287 Date_of_death = Jun2006 Loess Fit = -0.287 Date_of_death = May2006 Loess Fit = -0.301 Date_of_death = May2006 Loess Fit = -0.301 Date_of_death = Apr2006 Loess Fit = -0.315 Date_of_death = Apr2006 Loess Fit = -0.315 Date_of_death = Mar2006 Loess Fit = -0.329 Date_of_death = Mar2006 Loess Fit = -0.329 Date_of_death = Feb2006 Loess Fit = -0.342 Date_of_death = Feb2006 Loess Fit = -0.342 Date_of_death = Jan2006 Loess Fit = -0.356 Date_of_death = Jan2006 Loess Fit = -0.356 Date_of_death = Dec2005 Loess Fit = -0.37 Date_of_death = Dec2005 Loess Fit = -0.37 Date_of_death = Oct2005 Loess Fit = -0.384 Date_of_death = Oct2005 Loess Fit = -0.384 Date_of_death = Sep2005 Loess Fit = -0.398 Date_of_death = Sep2005 Loess Fit = -0.398 Date_of_death = Aug2005 Loess Fit = -0.405 Date_of_death = Aug2005 Loess Fit = -0.405 Date_of_death = Jul2005 Loess Fit = -0.396 Date_of_death = Jul2005 Loess Fit = -0.396 Date_of_death = Jun2005 Loess Fit = -0.388 Date_of_death = Jun2005 Loess Fit = -0.388 Date_of_death = May2005 Loess Fit = -0.379 Date_of_death = May2005 Loess Fit = -0.379 Date_of_death = Apr2005 Loess Fit = -0.37 Date_of_death = Apr2005 Loess Fit = -0.37 Date_of_death = Mar2005 Loess Fit = -0.361 Date_of_death = Mar2005 Loess Fit = -0.361 Date_of_death = Jan2005 Loess Fit = -0.353 Date_of_death = Jan2005 Loess Fit = -0.353 Date_of_death = Dec2004 Loess Fit = -0.344 Date_of_death = Dec2004 Loess Fit = -0.344 Date_of_death = Nov2004 Loess Fit = -0.335 Date_of_death = Nov2004 Loess Fit = -0.335 Date_of_death = Oct2004 Loess Fit = -0.326 Date_of_death = Oct2004 Loess Fit = -0.326 Date_of_death = Sep2004 Loess Fit = -0.318 Date_of_death = Sep2004 Loess Fit = -0.318 Date_of_death = Aug2004 Loess Fit = -0.309 Date_of_death = Aug2004 Loess Fit = -0.309 Date_of_death = Jul2004 Loess Fit = -0.3 Date_of_death = Jul2004 Loess Fit = -0.3 Date_of_death = Jun2004 Loess Fit = -0.283 Date_of_death = Jun2004 Loess Fit = -0.283 Date_of_death = May2004 Loess Fit = -0.262 Date_of_death = May2004 Loess Fit = -0.262 Date_of_death = Mar2004 Loess Fit = -0.241 Date_of_death = Mar2004 Loess Fit = -0.241 Date_of_death = Feb2004 Loess Fit = -0.22 Date_of_death = Feb2004 Loess Fit = -0.22 Date_of_death = Jan2004 Loess Fit = -0.199 Date_of_death = Jan2004 Loess Fit = -0.199 Date_of_death = Dec2003 Loess Fit = -0.178 Date_of_death = Dec2003 Loess Fit = -0.178 Date_of_death = Nov2003 Loess Fit = -0.157 Date_of_death = Nov2003 Loess Fit = -0.157 Date_of_death = Oct2003 Loess Fit = -0.136 Date_of_death = Oct2003 Loess Fit = -0.136 Date_of_death = Sep2003 Loess Fit = -0.115 Date_of_death = Sep2003 Loess Fit = -0.115 Date_of_death = Aug2003 Loess Fit = -0.094 Date_of_death = Aug2003 Loess Fit = -0.094 Date_of_death = Jul2003 Loess Fit = -0.073 Date_of_death = Jul2003 Loess Fit = -0.073 Date_of_death = May2003 Loess Fit = -0.052 Date_of_death = May2003 Loess Fit = -0.052 Date_of_death = Apr2003 Loess Fit = -0.03 Date_of_death = Apr2003 Loess Fit = -0.03 Date_of_death = Mar2003 Loess Fit = -0.006 Date_of_death = Mar2003 Loess Fit = -0.006 Date_of_death = Feb2003 Loess Fit = 0.0188 Date_of_death = Feb2003 Loess Fit = 0.0188 Date_of_death = Jan2003 Loess Fit = 0.0432 Date_of_death = Jan2003 Loess Fit = 0.0432 Date_of_death = Dec2002 Loess Fit = 0.0676 Date_of_death = Dec2002 Loess Fit = 0.0676 Date_of_death = Nov2002 Loess Fit = 0.092 Date_of_death = Nov2002 Loess Fit = 0.092 Date_of_death = Oct2002 Loess Fit = 0.1164 Date_of_death = Oct2002 Loess Fit = 0.1164 Date_of_death = Aug2002 Loess Fit = 0.1408 Date_of_death = Aug2002 Loess Fit = 0.1408 Date_of_death = Jul2002 Loess Fit = 0.1652 Date_of_death = Jul2002 Loess Fit = 0.1652 Date_of_death = Jun2002 Loess Fit = 0.1896 Date_of_death = Jun2002 Loess Fit = 0.1896 Date_of_death = May2002 Loess Fit = 0.214 Date_of_death = May2002 Loess Fit = 0.214 Date_of_death = Apr2002 Loess Fit = 0.2384 Date_of_death = Apr2002 Loess Fit = 0.2384 Date_of_death = Mar2002 Loess Fit = 0.2628 Date_of_death = Mar2002 Loess Fit = 0.2628 Date_of_death = Feb2002 Loess Fit = 0.2891 Date_of_death = Feb2002 Loess Fit = 0.2891 Date_of_death = Jan2002 Loess Fit = 0.3167 Date_of_death = Jan2002 Loess Fit = 0.3167 Date_of_death = Dec2001 Loess Fit = 0.3443 Date_of_death = Dec2001 Loess Fit = 0.3443 Date_of_death = Oct2001 Loess Fit = 0.3719 Date_of_death = Oct2001 Loess Fit = 0.3719 Date_of_death = Sep2001 Loess Fit = 0.3995 Date_of_death = Sep2001 Loess Fit = 0.3995 Date_of_death = Aug2001 Loess Fit = 0.4271 Date_of_death = Aug2001 Loess Fit = 0.4271 Date_of_death = Jul2001 Loess Fit = 0.4547 Date_of_death = Jul2001 Loess Fit = 0.4547 Date_of_death = Jun2001 Loess Fit = 0.4823 Date_of_death = Jun2001 Loess Fit = 0.4823 Date_of_death = May2001 Loess Fit = 0.5099 Date_of_death = May2001 Loess Fit = 0.5099 Date_of_death = Apr2001 Loess Fit = 0.5375 Date_of_death = Apr2001 Loess Fit = 0.5375 Date_of_death = Mar2001 Loess Fit = 0.5651 Date_of_death = Mar2001 Loess Fit = 0.5651 Date_of_death = Feb2001 Loess Fit = 0.5927 Date_of_death = Sep2019 Prediction Error = -0.176 Date_of_death = Aug2019 Prediction Error = -1.697 Date_of_death = Jul2019 Prediction Error = 0.5876 Date_of_death = Jun2019 Prediction Error = -2.112 Date_of_death = May2019 Prediction Error = -1.267 Date_of_death = Apr2019 Prediction Error = 2.9405 Date_of_death = Mar2019 Prediction Error = 2.9758 Date_of_death = Feb2019 Prediction Error = 4.0611 Date_of_death = Jan2019 Prediction Error = 0.4476 Date_of_death = Dec2018 Prediction Error = -1.456 Date_of_death = Nov2018 Prediction Error = 2.2609 Date_of_death = Oct2018 Prediction Error = 0.5806 Date_of_death = Sep2018 Prediction Error = -1.1 Date_of_death = Aug2018 Prediction Error = -0.565 Date_of_death = Jul2018 Prediction Error = -2.448 Date_of_death = Jun2018 Prediction Error = 3.311 Date_of_death = May2018 Prediction Error = 3.2201 Date_of_death = Apr2018 Prediction Error = -1.985 Date_of_death = Mar2018 Prediction Error = 1.2073 Date_of_death = Feb2018 Prediction Error = -0.943 Date_of_death = Jan2018 Prediction Error = -0.545 Date_of_death = Dec2017 Prediction Error = -1.519 Date_of_death = Nov2017 Prediction Error = 3.5378 Date_of_death = Oct2017 Prediction Error = 0.6755 Date_of_death = Sep2017 Prediction Error = -1.106 Date_of_death = Aug2017 Prediction Error = -1.612 Date_of_death = Jul2017 Prediction Error = 2.879 Date_of_death = Jun2017 Prediction Error = 3.6791 Date_of_death = May2017 Prediction Error = -0.757 Date_of_death = Apr2017 Prediction Error = 0.1434 Date_of_death = Mar2017 Prediction Error = 3.6006 Date_of_death = Feb2017 Prediction Error = -0.826 Date_of_death = Jan2017 Prediction Error = 2.8932 Date_of_death = Dec2016 Prediction Error = -0.278 Date_of_death = Nov2016 Prediction Error = -0.289 Date_of_death = Oct2016 Prediction Error = -1.247 Date_of_death = Sep2016 Prediction Error = -1.004 Date_of_death = Aug2016 Prediction Error = -1.554 Date_of_death = Jul2016 Prediction Error = -1.123 Date_of_death = Jun2016 Prediction Error = -1.444 Date_of_death = May2016 Prediction Error = -0.845 Date_of_death = Apr2016 Prediction Error = -2.082 Date_of_death = Mar2016 Prediction Error = 0.4842 Date_of_death = Feb2016 Prediction Error = 1.1229 Date_of_death = Jan2016 Prediction Error = 2.9753 Date_of_death = Dec2015 Prediction Error = -1.529 Date_of_death = Nov2015 Prediction Error = -0.458 Date_of_death = Oct2015 Prediction Error = 0.6989 Date_of_death = Sep2015 Prediction Error = 3.1949 Date_of_death = Aug2015 Prediction Error = 1.5968 Date_of_death = Jul2015 Prediction Error = -2.247 Date_of_death = Jun2015 Prediction Error = 1.7795 Date_of_death = May2015 Prediction Error = 0.2979 Date_of_death = Apr2015 Prediction Error = -1.003 Date_of_death = Mar2015 Prediction Error = -1.511 Date_of_death = Feb2015 Prediction Error = 1.3173 Date_of_death = Jan2015 Prediction Error = -1.077 Date_of_death = Dec2014 Prediction Error = -0.516 Date_of_death = Nov2014 Prediction Error = -1.543 Date_of_death = Oct2014 Prediction Error = 0.7758 Date_of_death = Sep2014 Prediction Error = -0.939 Date_of_death = Aug2014 Prediction Error = 1.659 Date_of_death = Jul2014 Prediction Error = -1.398 Date_of_death = Jun2014 Prediction Error = 4.071 Date_of_death = May2014 Prediction Error = -0.788 Date_of_death = Apr2014 Prediction Error = 3.3025 Date_of_death = Mar2014 Prediction Error = 1.7352 Date_of_death = Feb2014 Prediction Error = 0.464 Date_of_death = Jan2014 Prediction Error = 1.1705 Date_of_death = Dec2013 Prediction Error = 4.0403 Date_of_death = Nov2013 Prediction Error = -1.402 Date_of_death = Oct2013 Prediction Error = 0.0259 Date_of_death = Sep2013 Prediction Error = 3.6706 Date_of_death = Aug2013 Prediction Error = -1.152 Date_of_death = Jul2013 Prediction Error = -2.312 Date_of_death = Jun2013 Prediction Error = -0.818 Date_of_death = May2013 Prediction Error = -0.674 Date_of_death = Apr2013 Prediction Error = -0.662 Date_of_death = Mar2013 Prediction Error = -0.235 Date_of_death = Feb2013 Prediction Error = 0.5519 Date_of_death = Jan2013 Prediction Error = -2.017 Date_of_death = Dec2012 Prediction Error = 1.0538 Date_of_death = Nov2012 Prediction Error = -0.505 Date_of_death = Oct2012 Prediction Error = 1.0642 Date_of_death = Sep2012 Prediction Error = -0.496 Date_of_death = Aug2012 Prediction Error = -1.388 Date_of_death = Jul2012 Prediction Error = -0.434 Date_of_death = Jun2012 Prediction Error = 0.1225 Date_of_death = May2012 Prediction Error = 1.4099 Date_of_death = Apr2012 Prediction Error = -1.868 Date_of_death = Mar2012 Prediction Error = 4.131 Date_of_death = Feb2012 Prediction Error = 1.7406 Date_of_death = Jan2012 Prediction Error = -2.157 Date_of_death = Dec2011 Prediction Error = 0.1005 Date_of_death = Nov2011 Prediction Error = -0.518 Date_of_death = Oct2011 Prediction Error = 4.5582 Date_of_death = Sep2011 Prediction Error = -0.441 Date_of_death = Aug2011 Prediction Error = 1.9469 Date_of_death = Jul2011 Prediction Error = -2.529 Date_of_death = Jun2011 Prediction Error = -0.837 Date_of_death = May2011 Prediction Error = -1.678 Date_of_death = Apr2011 Prediction Error = 3.5963 Date_of_death = Mar2011 Prediction Error = 0.2177 Date_of_death = Feb2011 Prediction Error = 0.8795 Date_of_death = Jan2011 Prediction Error = -1.192 Date_of_death = Dec2010 Prediction Error = 1.3299 Date_of_death = Nov2010 Prediction Error = -1.594 Date_of_death = Oct2010 Prediction Error = -0.499 Date_of_death = Sep2010 Prediction Error = -1.631 Date_of_death = Aug2010 Prediction Error = -1.259 Date_of_death = Jul2010 Prediction Error = -2.894 Date_of_death = Jun2010 Prediction Error = 0.1015 Date_of_death = May2010 Prediction Error = -1.949 Date_of_death = Apr2010 Prediction Error = -1.75 Date_of_death = Mar2010 Prediction Error = 0.0317 Date_of_death = Feb2010 Prediction Error = -0.369 Date_of_death = Jan2010 Prediction Error = -0.435 Date_of_death = Dec2009 Prediction Error = 1.2597 Date_of_death = Nov2009 Prediction Error = 0.2613 Date_of_death = Oct2009 Prediction Error = 1.5225 Date_of_death = Sep2009 Prediction Error = -1.974 Date_of_death = Aug2009 Prediction Error = -0.419 Date_of_death = Jul2009 Prediction Error = -1.095 Date_of_death = Jun2009 Prediction Error = 0.0173 Date_of_death = May2009 Prediction Error = 1.1362 Date_of_death = Apr2009 Prediction Error = -0.856 Date_of_death = Mar2009 Prediction Error = 0.0194 Date_of_death = Feb2009 Prediction Error = -0.429 Date_of_death = Jan2009 Prediction Error = 2.9354 Date_of_death = Dec2008 Prediction Error = -0.838 Date_of_death = Nov2008 Prediction Error = 0.2954 Date_of_death = Oct2008 Prediction Error = -0.575 Date_of_death = Sep2008 Prediction Error = 0.0322 Date_of_death = Aug2008 Prediction Error = 4.1257 Date_of_death = Jul2008 Prediction Error = 2.2915 Date_of_death = Jun2008 Prediction Error = 0.1667 Date_of_death = May2008 Prediction Error = 3.7368 Date_of_death = Apr2008 Prediction Error = -0.767 Date_of_death = Mar2008 Prediction Error = 1.383 Date_of_death = Feb2008 Prediction Error = -0.253 Date_of_death = Jan2008 Prediction Error = -1.059 Date_of_death = Dec2007 Prediction Error = 0.3712 Date_of_death = Nov2007 Prediction Error = -1.801 Date_of_death = Oct2007 Prediction Error = -0.5 Date_of_death = Sep2007 Prediction Error = 3.6874 Date_of_death = Aug2007 Prediction Error = -0.886 Date_of_death = Jul2007 Prediction Error = -1.909 Date_of_death = Jun2007 Prediction Error = -0.929 Date_of_death = May2007 Prediction Error = 0.8143 Date_of_death = Apr2007 Prediction Error = -2.08 Date_of_death = Mar2007 Prediction Error = -0.798 Date_of_death = Feb2007 Prediction Error = 0.781 Date_of_death = Jan2007 Prediction Error = -1.316 Date_of_death = Dec2006 Prediction Error = 0.3592 Date_of_death = Nov2006 Prediction Error = 3.7517 Date_of_death = Oct2006 Prediction Error = -0.582 Date_of_death = Sep2006 Prediction Error = 4.3206 Date_of_death = Aug2006 Prediction Error = -1.029 Date_of_death = Jul2006 Prediction Error = -3.405 Date_of_death = Jun2006 Prediction Error = 0.0993 Date_of_death = May2006 Prediction Error = -1.407 Date_of_death = Apr2006 Prediction Error = -2.451 Date_of_death = Mar2006 Prediction Error = -0.953 Date_of_death = Feb2006 Prediction Error = -0.295 Date_of_death = Jan2006 Prediction Error = -1.619 Date_of_death = Dec2005 Prediction Error = -0.83 Date_of_death = Nov2005 Prediction Error = -0.428 Date_of_death = Oct2005 Prediction Error = -0.84 Date_of_death = Sep2005 Prediction Error = -1.046 Date_of_death = Aug2005 Prediction Error = -1.468 Date_of_death = Jul2005 Prediction Error = 0.5456 Date_of_death = Jun2005 Prediction Error = -0.057 Date_of_death = May2005 Prediction Error = -1.869 Date_of_death = Apr2005 Prediction Error = -3.125 Date_of_death = Mar2005 Prediction Error = -0.11 Date_of_death = Feb2005 Prediction Error = -0.527 Date_of_death = Jan2005 Prediction Error = -0.928 Date_of_death = Dec2004 Prediction Error = -1.196 Date_of_death = Nov2004 Prediction Error = -1.965 Date_of_death = Oct2004 Prediction Error = -1.232 Date_of_death = Sep2004 Prediction Error = -1.494 Date_of_death = Aug2004 Prediction Error = 4.3055 Date_of_death = Jul2004 Prediction Error = 1.825 Date_of_death = Jun2004 Prediction Error = -1.447 Date_of_death = May2004 Prediction Error = -2.461 Date_of_death = Apr2004 Prediction Error = 2.3026 Date_of_death = Mar2004 Prediction Error = -1.453 Date_of_death = Feb2004 Prediction Error = -0.721 Date_of_death = Jan2004 Prediction Error = -2.648 Date_of_death = Dec2003 Prediction Error = -1.668 Date_of_death = Nov2003 Prediction Error = -2.693 Date_of_death = Oct2003 Prediction Error = -1.714 Date_of_death = Sep2003 Prediction Error = -2.069 Date_of_death = Aug2003 Prediction Error = 0.2683 Date_of_death = Jul2003 Prediction Error = 2.2875 Date_of_death = Jun2003 Prediction Error = 4.6575 Date_of_death = May2003 Prediction Error = -3.372 Date_of_death = Apr2003 Prediction Error = 2.9854 Date_of_death = Mar2003 Prediction Error = -2.032 Date_of_death = Feb2003 Prediction Error = 1.6449 Date_of_death = Jan2003 Prediction Error = -4.04 Date_of_death = Dec2002 Prediction Error = -2.562 Date_of_death = Nov2002 Prediction Error = -1.071 Date_of_death = Oct2002 Prediction Error = 4.9611 Date_of_death = Sep2002 Prediction Error = 4.4873 Date_of_death = Aug2002 Prediction Error = -1.021 Date_of_death = Jul2002 Prediction Error = 0.4834 Date_of_death = Jun2002 Prediction Error = 0.9874 Date_of_death = May2002 Prediction Error = 2.5061 Date_of_death = Apr2002 Prediction Error = -1.509 Date_of_death = Mar2002 Prediction Error = -3.029 Date_of_death = Feb2002 Prediction Error = -0.534 Date_of_death = Jan2002 Prediction Error = -0.027 Date_of_death = Dec2001 Prediction Error = 4.9911 Date_of_death = Nov2001 Prediction Error = 4.006 Date_of_death = Oct2001 Prediction Error = 0.0059 Date_of_death = Sep2001 Prediction Error = 1.0097 Date_of_death = Aug2001 Prediction Error = 0.0085 Date_of_death = Jul2001 Prediction Error = -5.012 Date_of_death = Jun2001 Prediction Error = -0.016 Date_of_death = May2001 Prediction Error = -5.037 Date_of_death = Apr2001 Prediction Error = 4.9809 Date_of_death = Mar2001 Prediction Error = 3.9961 Date_of_death = Feb2001 Prediction Error = 1 Date_of_death = Sep2019 2*STD = 3.7549 -2*STD = -3.755 Date_of_death = Aug2019 2*STD = 3.755 -2*STD = -3.755 Date_of_death = Aug2019 2*STD = 3.755 -2*STD = -3.755 Date_of_death = Jul2019 2*STD = 3.755 -2*STD = -3.755 Date_of_death = Jul2019 2*STD = 3.755 -2*STD = -3.755 Date_of_death = Jun2019 2*STD = 3.755 -2*STD = -3.755 Date_of_death = Jun2019 2*STD = 3.755 -2*STD = -3.755 Date_of_death = May2019 2*STD = 3.7551 -2*STD = -3.755 Date_of_death = May2019 2*STD = 3.7551 -2*STD = -3.755 Date_of_death = Apr2019 2*STD = 3.7551 -2*STD = -3.755 Date_of_death = Apr2019 2*STD = 3.7551 -2*STD = -3.755 Date_of_death = Mar2019 2*STD = 3.7552 -2*STD = -3.755 Date_of_death = Mar2019 2*STD = 3.7552 -2*STD = -3.755 Date_of_death = Feb2019 2*STD = 3.7552 -2*STD = -3.755 Date_of_death = Feb2019 2*STD = 3.7552 -2*STD = -3.755 Date_of_death = Jan2019 2*STD = 3.759 -2*STD = -3.759 Date_of_death = Jan2019 2*STD = 3.759 -2*STD = -3.759 Date_of_death = Dec2018 2*STD = 3.759 -2*STD = -3.759 Date_of_death = Dec2018 2*STD = 3.759 -2*STD = -3.759 Date_of_death = Nov2018 2*STD = 3.7591 -2*STD = -3.759 Date_of_death = Nov2018 2*STD = 3.7591 -2*STD = -3.759 Date_of_death = Oct2018 2*STD = 3.7591 -2*STD = -3.759 Date_of_death = Oct2018 2*STD = 3.7591 -2*STD = -3.759 Date_of_death = Sep2018 2*STD = 3.7591 -2*STD = -3.759 Date_of_death = Sep2018 2*STD = 3.7591 -2*STD = -3.759 Date_of_death = Aug2018 2*STD = 3.7591 -2*STD = -3.759 Date_of_death = Aug2018 2*STD = 3.7591 -2*STD = -3.759 Date_of_death = Jul2018 2*STD = 3.7592 -2*STD = -3.759 Date_of_death = Jul2018 2*STD = 3.7592 -2*STD = -3.759 Date_of_death = Jun2018 2*STD = 3.7592 -2*STD = -3.759 Date_of_death = Jun2018 2*STD = 3.7592 -2*STD = -3.759 Date_of_death = May2018 2*STD = 3.7593 -2*STD = -3.759 Date_of_death = May2018 2*STD = 3.7593 -2*STD = -3.759 Date_of_death = Apr2018 2*STD = 3.7593 -2*STD = -3.759 Date_of_death = Apr2018 2*STD = 3.7593 -2*STD = -3.759 Date_of_death = Mar2018 2*STD = 3.7594 -2*STD = -3.759 Date_of_death = Mar2018 2*STD = 3.7594 -2*STD = -3.759 Date_of_death = Feb2018 2*STD = 3.7594 -2*STD = -3.759 Date_of_death = Feb2018 2*STD = 3.7594 -2*STD = -3.759 Date_of_death = Jan2018 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Jan2018 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Dec2017 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Dec2017 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Nov2017 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Nov2017 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Oct2017 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Oct2017 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Sep2017 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Sep2017 2*STD = 3.7638 -2*STD = -3.764 Date_of_death = Aug2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Aug2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Jul2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Jul2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Jun2017 2*STD = 3.764 -2*STD = -3.764 Date_of_death = Jun2017 2*STD = 3.764 -2*STD = -3.764 Date_of_death = May2017 2*STD = 3.764 -2*STD = -3.764 Date_of_death = May2017 2*STD = 3.764 -2*STD = -3.764 Date_of_death = Apr2017 2*STD = 3.7641 -2*STD = -3.764 Date_of_death = Apr2017 2*STD = 3.7641 -2*STD = -3.764 Date_of_death = Mar2017 2*STD = 3.7641 -2*STD = -3.764 Date_of_death = Mar2017 2*STD = 3.7641 -2*STD = -3.764 Date_of_death = Feb2017 2*STD = 3.7642 -2*STD = -3.764 Date_of_death = Feb2017 2*STD = 3.7642 -2*STD = -3.764 Date_of_death = Jan2017 2*STD = 3.7691 -2*STD = -3.769 Date_of_death = Jan2017 2*STD = 3.7691 -2*STD = -3.769 Date_of_death = Dec2016 2*STD = 3.7691 -2*STD = -3.769 Date_of_death = Dec2016 2*STD = 3.7691 -2*STD = -3.769 Date_of_death = Nov2016 2*STD = 3.7692 -2*STD = -3.769 Date_of_death = Nov2016 2*STD = 3.7692 -2*STD = -3.769 Date_of_death = Oct2016 2*STD = 3.7692 -2*STD = -3.769 Date_of_death = Oct2016 2*STD = 3.7692 -2*STD = -3.769 Date_of_death = Sep2016 2*STD = 3.7692 -2*STD = -3.769 Date_of_death = Sep2016 2*STD = 3.7692 -2*STD = -3.769 Date_of_death = Aug2016 2*STD = 3.7693 -2*STD = -3.769 Date_of_death = Aug2016 2*STD = 3.7693 -2*STD = -3.769 Date_of_death = Jul2016 2*STD = 3.7693 -2*STD = -3.769 Date_of_death = Jul2016 2*STD = 3.7693 -2*STD = -3.769 Date_of_death = Jun2016 2*STD = 3.7694 -2*STD = -3.769 Date_of_death = Jun2016 2*STD = 3.7694 -2*STD = -3.769 Date_of_death = May2016 2*STD = 3.7694 -2*STD = -3.769 Date_of_death = May2016 2*STD = 3.7694 -2*STD = -3.769 Date_of_death = Apr2016 2*STD = 3.7695 -2*STD = -3.769 Date_of_death = Apr2016 2*STD = 3.7695 -2*STD = -3.769 Date_of_death = Mar2016 2*STD = 3.7695 -2*STD = -3.77 Date_of_death = Mar2016 2*STD = 3.7695 -2*STD = -3.77 Date_of_death = Feb2016 2*STD = 3.7696 -2*STD = -3.77 Date_of_death = Feb2016 2*STD = 3.7696 -2*STD = -3.77 Date_of_death = Jan2016 2*STD = 3.7753 -2*STD = -3.775 Date_of_death = Jan2016 2*STD = 3.7753 -2*STD = -3.775 Date_of_death = Dec2015 2*STD = 3.7753 -2*STD = -3.775 Date_of_death = Dec2015 2*STD = 3.7753 -2*STD = -3.775 Date_of_death = Nov2015 2*STD = 3.7753 -2*STD = -3.775 Date_of_death = Nov2015 2*STD = 3.7753 -2*STD = -3.775 Date_of_death = Oct2015 2*STD = 3.7754 -2*STD = -3.775 Date_of_death = Oct2015 2*STD = 3.7754 -2*STD = -3.775 Date_of_death = Sep2015 2*STD = 3.7754 -2*STD = -3.775 Date_of_death = Sep2015 2*STD = 3.7754 -2*STD = -3.775 Date_of_death = Aug2015 2*STD = 3.7754 -2*STD = -3.775 Date_of_death = Aug2015 2*STD = 3.7754 -2*STD = -3.775 Date_of_death = Jul2015 2*STD = 3.7755 -2*STD = -3.775 Date_of_death = Jul2015 2*STD = 3.7755 -2*STD = -3.775 Date_of_death = Jun2015 2*STD = 3.7755 -2*STD = -3.776 Date_of_death = Jun2015 2*STD = 3.7755 -2*STD = -3.776 Date_of_death = May2015 2*STD = 3.7756 -2*STD = -3.776 Date_of_death = May2015 2*STD = 3.7756 -2*STD = -3.776 Date_of_death = Apr2015 2*STD = 3.7757 -2*STD = -3.776 Date_of_death = Apr2015 2*STD = 3.7757 -2*STD = -3.776 Date_of_death = Mar2015 2*STD = 3.7757 -2*STD = -3.776 Date_of_death = Mar2015 2*STD = 3.7757 -2*STD = -3.776 Date_of_death = Feb2015 2*STD = 3.7758 -2*STD = -3.776 Date_of_death = Feb2015 2*STD = 3.7758 -2*STD = -3.776 Date_of_death = Jan2015 2*STD = 3.7824 -2*STD = -3.782 Date_of_death = Jan2015 2*STD = 3.7824 -2*STD = -3.782 Date_of_death = Dec2014 2*STD = 3.7824 -2*STD = -3.782 Date_of_death = Dec2014 2*STD = 3.7824 -2*STD = -3.782 Date_of_death = Nov2014 2*STD = 3.7824 -2*STD = -3.782 Date_of_death = Nov2014 2*STD = 3.7824 -2*STD = -3.782 Date_of_death = Oct2014 2*STD = 3.7824 -2*STD = -3.782 Date_of_death = Oct2014 2*STD = 3.7824 -2*STD = -3.782 Date_of_death = Sep2014 2*STD = 3.7825 -2*STD = -3.782 Date_of_death = Sep2014 2*STD = 3.7825 -2*STD = -3.782 Date_of_death = Aug2014 2*STD = 3.7825 -2*STD = -3.783 Date_of_death = Aug2014 2*STD = 3.7825 -2*STD = -3.783 Date_of_death = Jul2014 2*STD = 3.7826 -2*STD = -3.783 Date_of_death = Jul2014 2*STD = 3.7826 -2*STD = -3.783 Date_of_death = Jun2014 2*STD = 3.7826 -2*STD = -3.783 Date_of_death = Jun2014 2*STD = 3.7826 -2*STD = -3.783 Date_of_death = May2014 2*STD = 3.7827 -2*STD = -3.783 Date_of_death = May2014 2*STD = 3.7827 -2*STD = -3.783 Date_of_death = Apr2014 2*STD = 3.7828 -2*STD = -3.783 Date_of_death = Apr2014 2*STD = 3.7828 -2*STD = -3.783 Date_of_death = Mar2014 2*STD = 3.7829 -2*STD = -3.783 Date_of_death = Mar2014 2*STD = 3.7829 -2*STD = -3.783 Date_of_death = Feb2014 2*STD = 3.7829 -2*STD = -3.783 Date_of_death = Feb2014 2*STD = 3.7829 -2*STD = -3.783 Date_of_death = Jan2014 2*STD = 3.7906 -2*STD = -3.791 Date_of_death = Jan2014 2*STD = 3.7906 -2*STD = -3.791 Date_of_death = Dec2013 2*STD = 3.7906 -2*STD = -3.791 Date_of_death = Dec2013 2*STD = 3.7906 -2*STD = -3.791 Date_of_death = Nov2013 2*STD = 3.7907 -2*STD = -3.791 Date_of_death = Nov2013 2*STD = 3.7907 -2*STD = -3.791 Date_of_death = Oct2013 2*STD = 3.7907 -2*STD = -3.791 Date_of_death = Oct2013 2*STD = 3.7907 -2*STD = -3.791 Date_of_death = Sep2013 2*STD = 3.7908 -2*STD = -3.791 Date_of_death = Sep2013 2*STD = 3.7908 -2*STD = -3.791 Date_of_death = Aug2013 2*STD = 3.7908 -2*STD = -3.791 Date_of_death = Aug2013 2*STD = 3.7908 -2*STD = -3.791 Date_of_death = Jul2013 2*STD = 3.7909 -2*STD = -3.791 Date_of_death = Jul2013 2*STD = 3.7909 -2*STD = -3.791 Date_of_death = Jun2013 2*STD = 3.7909 -2*STD = -3.791 Date_of_death = Jun2013 2*STD = 3.7909 -2*STD = -3.791 Date_of_death = May2013 2*STD = 3.791 -2*STD = -3.791 Date_of_death = May2013 2*STD = 3.791 -2*STD = -3.791 Date_of_death = Apr2013 2*STD = 3.7911 -2*STD = -3.791 Date_of_death = Apr2013 2*STD = 3.7911 -2*STD = -3.791 Date_of_death = Mar2013 2*STD = 3.7912 -2*STD = -3.791 Date_of_death = Mar2013 2*STD = 3.7912 -2*STD = -3.791 Date_of_death = Feb2013 2*STD = 3.7912 -2*STD = -3.791 Date_of_death = Feb2013 2*STD = 3.7912 -2*STD = -3.791 Date_of_death = Jan2013 2*STD = 3.8003 -2*STD = -3.8 Date_of_death = Jan2013 2*STD = 3.8003 -2*STD = -3.8 Date_of_death = Dec2012 2*STD = 3.8003 -2*STD = -3.8 Date_of_death = Dec2012 2*STD = 3.8003 -2*STD = -3.8 Date_of_death = Nov2012 2*STD = 3.8004 -2*STD = -3.8 Date_of_death = Nov2012 2*STD = 3.8004 -2*STD = -3.8 Date_of_death = Oct2012 2*STD = 3.8004 -2*STD = -3.8 Date_of_death = Oct2012 2*STD = 3.8004 -2*STD = -3.8 Date_of_death = Sep2012 2*STD = 3.8005 -2*STD = -3.8 Date_of_death = Sep2012 2*STD = 3.8005 -2*STD = -3.8 Date_of_death = Aug2012 2*STD = 3.8005 -2*STD = -3.801 Date_of_death = Aug2012 2*STD = 3.8005 -2*STD = -3.801 Date_of_death = Jul2012 2*STD = 3.8006 -2*STD = -3.801 Date_of_death = Jul2012 2*STD = 3.8006 -2*STD = -3.801 Date_of_death = Jun2012 2*STD = 3.8006 -2*STD = -3.801 Date_of_death = Jun2012 2*STD = 3.8006 -2*STD = -3.801 Date_of_death = May2012 2*STD = 3.8007 -2*STD = -3.801 Date_of_death = May2012 2*STD = 3.8007 -2*STD = -3.801 Date_of_death = Apr2012 2*STD = 3.8008 -2*STD = -3.801 Date_of_death = Apr2012 2*STD = 3.8008 -2*STD = -3.801 Date_of_death = Mar2012 2*STD = 3.8009 -2*STD = -3.801 Date_of_death = Mar2012 2*STD = 3.8009 -2*STD = -3.801 Date_of_death = Feb2012 2*STD = 3.801 -2*STD = -3.801 Date_of_death = Feb2012 2*STD = 3.801 -2*STD = -3.801 Date_of_death = Jan2012 2*STD = 3.8118 -2*STD = -3.812 Date_of_death = Jan2012 2*STD = 3.8118 -2*STD = -3.812 Date_of_death = Dec2011 2*STD = 3.8119 -2*STD = -3.812 Date_of_death = Dec2011 2*STD = 3.8119 -2*STD = -3.812 Date_of_death = Nov2011 2*STD = 3.8119 -2*STD = -3.812 Date_of_death = Nov2011 2*STD = 3.8119 -2*STD = -3.812 Date_of_death = Oct2011 2*STD = 3.812 -2*STD = -3.812 Date_of_death = Oct2011 2*STD = 3.812 -2*STD = -3.812 Date_of_death = Sep2011 2*STD = 3.812 -2*STD = -3.812 Date_of_death = Sep2011 2*STD = 3.812 -2*STD = -3.812 Date_of_death = Aug2011 2*STD = 3.8121 -2*STD = -3.812 Date_of_death = Aug2011 2*STD = 3.8121 -2*STD = -3.812 Date_of_death = Jul2011 2*STD = 3.8121 -2*STD = -3.812 Date_of_death = Jul2011 2*STD = 3.8121 -2*STD = -3.812 Date_of_death = Jun2011 2*STD = 3.8122 -2*STD = -3.812 Date_of_death = Jun2011 2*STD = 3.8122 -2*STD = -3.812 Date_of_death = May2011 2*STD = 3.8123 -2*STD = -3.812 Date_of_death = May2011 2*STD = 3.8123 -2*STD = -3.812 Date_of_death = Apr2011 2*STD = 3.8124 -2*STD = -3.812 Date_of_death = Apr2011 2*STD = 3.8124 -2*STD = -3.812 Date_of_death = Mar2011 2*STD = 3.8125 -2*STD = -3.812 Date_of_death = Mar2011 2*STD = 3.8125 -2*STD = -3.812 Date_of_death = Feb2011 2*STD = 3.8126 -2*STD = -3.813 Date_of_death = Feb2011 2*STD = 3.8126 -2*STD = -3.813 Date_of_death = Jan2011 2*STD = 3.8258 -2*STD = -3.826 Date_of_death = Jan2011 2*STD = 3.8258 -2*STD = -3.826 Date_of_death = Dec2010 2*STD = 3.8258 -2*STD = -3.826 Date_of_death = Dec2010 2*STD = 3.8258 -2*STD = -3.826 Date_of_death = Nov2010 2*STD = 3.8258 -2*STD = -3.826 Date_of_death = Nov2010 2*STD = 3.8258 -2*STD = -3.826 Date_of_death = Oct2010 2*STD = 3.8259 -2*STD = -3.826 Date_of_death = Oct2010 2*STD = 3.8259 -2*STD = -3.826 Date_of_death = Sep2010 2*STD = 3.8259 -2*STD = -3.826 Date_of_death = Sep2010 2*STD = 3.8259 -2*STD = -3.826 Date_of_death = Aug2010 2*STD = 3.826 -2*STD = -3.826 Date_of_death = Aug2010 2*STD = 3.826 -2*STD = -3.826 Date_of_death = Jul2010 2*STD = 3.8261 -2*STD = -3.826 Date_of_death = Jul2010 2*STD = 3.8261 -2*STD = -3.826 Date_of_death = Jun2010 2*STD = 3.8262 -2*STD = -3.826 Date_of_death = Jun2010 2*STD = 3.8262 -2*STD = -3.826 Date_of_death = May2010 2*STD = 3.8263 -2*STD = -3.826 Date_of_death = May2010 2*STD = 3.8263 -2*STD = -3.826 Date_of_death = Apr2010 2*STD = 3.8264 -2*STD = -3.826 Date_of_death = Apr2010 2*STD = 3.8264 -2*STD = -3.826 Date_of_death = Mar2010 2*STD = 3.8265 -2*STD = -3.826 Date_of_death = Mar2010 2*STD = 3.8265 -2*STD = -3.826 Date_of_death = Feb2010 2*STD = 3.8266 -2*STD = -3.827 Date_of_death = Feb2010 2*STD = 3.8266 -2*STD = -3.827 Date_of_death = Jan2010 2*STD = 3.8429 -2*STD = -3.843 Date_of_death = Jan2010 2*STD = 3.8429 -2*STD = -3.843 Date_of_death = Dec2009 2*STD = 3.8429 -2*STD = -3.843 Date_of_death = Dec2009 2*STD = 3.8429 -2*STD = -3.843 Date_of_death = Nov2009 2*STD = 3.8429 -2*STD = -3.843 Date_of_death = Nov2009 2*STD = 3.8429 -2*STD = -3.843 Date_of_death = Oct2009 2*STD = 3.843 -2*STD = -3.843 Date_of_death = Oct2009 2*STD = 3.843 -2*STD = -3.843 Date_of_death = Sep2009 2*STD = 3.8431 -2*STD = -3.843 Date_of_death = Sep2009 2*STD = 3.8431 -2*STD = -3.843 Date_of_death = Aug2009 2*STD = 3.8431 -2*STD = -3.843 Date_of_death = Aug2009 2*STD = 3.8431 -2*STD = -3.843 Date_of_death = Jul2009 2*STD = 3.8432 -2*STD = -3.843 Date_of_death = Jul2009 2*STD = 3.8432 -2*STD = -3.843 Date_of_death = Jun2009 2*STD = 3.8433 -2*STD = -3.843 Date_of_death = Jun2009 2*STD = 3.8433 -2*STD = -3.843 Date_of_death = May2009 2*STD = 3.8434 -2*STD = -3.843 Date_of_death = May2009 2*STD = 3.8434 -2*STD = -3.843 Date_of_death = Apr2009 2*STD = 3.8435 -2*STD = -3.843 Date_of_death = Apr2009 2*STD = 3.8435 -2*STD = -3.843 Date_of_death = Mar2009 2*STD = 3.8436 -2*STD = -3.844 Date_of_death = Mar2009 2*STD = 3.8436 -2*STD = -3.844 Date_of_death = Feb2009 2*STD = 3.8437 -2*STD = -3.844 Date_of_death = Feb2009 2*STD = 3.8437 -2*STD = -3.844 Date_of_death = Jan2009 2*STD = 3.8643 -2*STD = -3.864 Date_of_death = Jan2009 2*STD = 3.8643 -2*STD = -3.864 Date_of_death = Dec2008 2*STD = 3.8644 -2*STD = -3.864 Date_of_death = Dec2008 2*STD = 3.8644 -2*STD = -3.864 Date_of_death = Nov2008 2*STD = 3.8644 -2*STD = -3.864 Date_of_death = Nov2008 2*STD = 3.8644 -2*STD = -3.864 Date_of_death = Oct2008 2*STD = 3.8645 -2*STD = -3.864 Date_of_death = Oct2008 2*STD = 3.8645 -2*STD = -3.864 Date_of_death = Sep2008 2*STD = 3.8645 -2*STD = -3.865 Date_of_death = Sep2008 2*STD = 3.8645 -2*STD = -3.865 Date_of_death = Aug2008 2*STD = 3.8646 -2*STD = -3.865 Date_of_death = Aug2008 2*STD = 3.8646 -2*STD = -3.865 Date_of_death = Jul2008 2*STD = 3.8647 -2*STD = -3.865 Date_of_death = Jul2008 2*STD = 3.8647 -2*STD = -3.865 Date_of_death = Jun2008 2*STD = 3.8648 -2*STD = -3.865 Date_of_death = Jun2008 2*STD = 3.8648 -2*STD = -3.865 Date_of_death = May2008 2*STD = 3.8649 -2*STD = -3.865 Date_of_death = May2008 2*STD = 3.8649 -2*STD = -3.865 Date_of_death = Apr2008 2*STD = 3.865 -2*STD = -3.865 Date_of_death = Apr2008 2*STD = 3.865 -2*STD = -3.865 Date_of_death = Mar2008 2*STD = 3.8651 -2*STD = -3.865 Date_of_death = Mar2008 2*STD = 3.8651 -2*STD = -3.865 Date_of_death = Feb2008 2*STD = 3.8652 -2*STD = -3.865 Date_of_death = Feb2008 2*STD = 3.8652 -2*STD = -3.865 Date_of_death = Jan2008 2*STD = 3.8921 -2*STD = -3.892 Date_of_death = Jan2008 2*STD = 3.8921 -2*STD = -3.892 Date_of_death = Dec2007 2*STD = 3.8921 -2*STD = -3.892 Date_of_death = Dec2007 2*STD = 3.8921 -2*STD = -3.892 Date_of_death = Nov2007 2*STD = 3.8921 -2*STD = -3.892 Date_of_death = Nov2007 2*STD = 3.8921 -2*STD = -3.892 Date_of_death = Oct2007 2*STD = 3.8922 -2*STD = -3.892 Date_of_death = Oct2007 2*STD = 3.8922 -2*STD = -3.892 Date_of_death = Sep2007 2*STD = 3.8923 -2*STD = -3.892 Date_of_death = Sep2007 2*STD = 3.8923 -2*STD = -3.892 Date_of_death = Aug2007 2*STD = 3.8923 -2*STD = -3.892 Date_of_death = Aug2007 2*STD = 3.8923 -2*STD = -3.892 Date_of_death = Jul2007 2*STD = 3.8924 -2*STD = -3.892 Date_of_death = Jul2007 2*STD = 3.8924 -2*STD = -3.892 Date_of_death = Jun2007 2*STD = 3.8925 -2*STD = -3.893 Date_of_death = Jun2007 2*STD = 3.8925 -2*STD = -3.893 Date_of_death = May2007 2*STD = 3.8926 -2*STD = -3.893 Date_of_death = May2007 2*STD = 3.8926 -2*STD = -3.893 Date_of_death = Apr2007 2*STD = 3.8927 -2*STD = -3.893 Date_of_death = Apr2007 2*STD = 3.8927 -2*STD = -3.893 Date_of_death = Mar2007 2*STD = 3.8928 -2*STD = -3.893 Date_of_death = Mar2007 2*STD = 3.8928 -2*STD = -3.893 Date_of_death = Feb2007 2*STD = 3.8929 -2*STD = -3.893 Date_of_death = Feb2007 2*STD = 3.8929 -2*STD = -3.893 Date_of_death = Jan2007 2*STD = 3.9291 -2*STD = -3.929 Date_of_death = Jan2007 2*STD = 3.9291 -2*STD = -3.929 Date_of_death = Dec2006 2*STD = 3.9292 -2*STD = -3.929 Date_of_death = Dec2006 2*STD = 3.9292 -2*STD = -3.929 Date_of_death = Nov2006 2*STD = 3.9292 -2*STD = -3.929 Date_of_death = Nov2006 2*STD = 3.9292 -2*STD = -3.929 Date_of_death = Oct2006 2*STD = 3.9292 -2*STD = -3.929 Date_of_death = Oct2006 2*STD = 3.9292 -2*STD = -3.929 Date_of_death = Sep2006 2*STD = 3.9293 -2*STD = -3.929 Date_of_death = Sep2006 2*STD = 3.9293 -2*STD = -3.929 Date_of_death = Aug2006 2*STD = 3.9294 -2*STD = -3.929 Date_of_death = Aug2006 2*STD = 3.9294 -2*STD = -3.929 Date_of_death = Jul2006 2*STD = 3.9295 -2*STD = -3.929 Date_of_death = Jul2006 2*STD = 3.9295 -2*STD = -3.929 Date_of_death = Jun2006 2*STD = 3.9295 -2*STD = -3.93 Date_of_death = Jun2006 2*STD = 3.9295 -2*STD = -3.93 Date_of_death = May2006 2*STD = 3.9296 -2*STD = -3.93 Date_of_death = May2006 2*STD = 3.9296 -2*STD = -3.93 Date_of_death = Apr2006 2*STD = 3.9297 -2*STD = -3.93 Date_of_death = Apr2006 2*STD = 3.9297 -2*STD = -3.93 Date_of_death = Mar2006 2*STD = 3.9299 -2*STD = -3.93 Date_of_death = Mar2006 2*STD = 3.9299 -2*STD = -3.93 Date_of_death = Feb2006 2*STD = 3.93 -2*STD = -3.93 Date_of_death = Feb2006 2*STD = 3.93 -2*STD = -3.93 Date_of_death = Jan2006 2*STD = 3.981 -2*STD = -3.981 Date_of_death = Jan2006 2*STD = 3.981 -2*STD = -3.981 Date_of_death = Dec2005 2*STD = 3.9811 -2*STD = -3.981 Date_of_death = Dec2005 2*STD = 3.9811 -2*STD = -3.981 Date_of_death = Nov2005 2*STD = 3.9811 -2*STD = -3.981 Date_of_death = Nov2005 2*STD = 3.9811 -2*STD = -3.981 Date_of_death = Oct2005 2*STD = 3.9812 -2*STD = -3.981 Date_of_death = Oct2005 2*STD = 3.9812 -2*STD = -3.981 Date_of_death = Sep2005 2*STD = 3.9812 -2*STD = -3.981 Date_of_death = Sep2005 2*STD = 3.9812 -2*STD = -3.981 Date_of_death = Aug2005 2*STD = 3.9813 -2*STD = -3.981 Date_of_death = Aug2005 2*STD = 3.9813 -2*STD = -3.981 Date_of_death = Jul2005 2*STD = 3.9813 -2*STD = -3.981 Date_of_death = Jul2005 2*STD = 3.9813 -2*STD = -3.981 Date_of_death = Jun2005 2*STD = 3.9814 -2*STD = -3.981 Date_of_death = Jun2005 2*STD = 3.9814 -2*STD = -3.981 Date_of_death = May2005 2*STD = 3.9815 -2*STD = -3.982 Date_of_death = May2005 2*STD = 3.9815 -2*STD = -3.982 Date_of_death = Apr2005 2*STD = 3.9816 -2*STD = -3.982 Date_of_death = Apr2005 2*STD = 3.9816 -2*STD = -3.982 Date_of_death = Mar2005 2*STD = 3.9817 -2*STD = -3.982 Date_of_death = Mar2005 2*STD = 3.9817 -2*STD = -3.982 Date_of_death = Feb2005 2*STD = 3.9818 -2*STD = -3.982 Date_of_death = Feb2005 2*STD = 3.9818 -2*STD = -3.982 Date_of_death = Jan2005 2*STD = 4.0587 -2*STD = -4.059 Date_of_death = Jan2005 2*STD = 4.0587 -2*STD = -4.059 Date_of_death = Dec2004 2*STD = 4.0587 -2*STD = -4.059 Date_of_death = Dec2004 2*STD = 4.0587 -2*STD = -4.059 Date_of_death = Nov2004 2*STD = 4.0587 -2*STD = -4.059 Date_of_death = Nov2004 2*STD = 4.0587 -2*STD = -4.059 Date_of_death = Oct2004 2*STD = 4.0587 -2*STD = -4.059 Date_of_death = Oct2004 2*STD = 4.0587 -2*STD = -4.059 Date_of_death = Sep2004 2*STD = 4.0588 -2*STD = -4.059 Date_of_death = Sep2004 2*STD = 4.0588 -2*STD = -4.059 Date_of_death = Aug2004 2*STD = 4.0588 -2*STD = -4.059 Date_of_death = Aug2004 2*STD = 4.0588 -2*STD = -4.059 Date_of_death = Jul2004 2*STD = 4.0589 -2*STD = -4.059 Date_of_death = Jul2004 2*STD = 4.0589 -2*STD = -4.059 Date_of_death = Jun2004 2*STD = 4.059 -2*STD = -4.059 Date_of_death = Jun2004 2*STD = 4.059 -2*STD = -4.059 Date_of_death = May2004 2*STD = 4.059 -2*STD = -4.059 Date_of_death = May2004 2*STD = 4.059 -2*STD = -4.059 Date_of_death = Apr2004 2*STD = 4.0591 -2*STD = -4.059 Date_of_death = Apr2004 2*STD = 4.0591 -2*STD = -4.059 Date_of_death = Mar2004 2*STD = 4.0592 -2*STD = -4.059 Date_of_death = Mar2004 2*STD = 4.0592 -2*STD = -4.059 Date_of_death = Feb2004 2*STD = 4.0593 -2*STD = -4.059 Date_of_death = Feb2004 2*STD = 4.0593 -2*STD = -4.059 Date_of_death = Jan2004 2*STD = 4.1865 -2*STD = -4.187 Date_of_death = Jan2004 2*STD = 4.1865 -2*STD = -4.187 Date_of_death = Dec2003 2*STD = 4.1865 -2*STD = -4.187 Date_of_death = Dec2003 2*STD = 4.1865 -2*STD = -4.187 Date_of_death = Nov2003 2*STD = 4.1865 -2*STD = -4.187 Date_of_death = Nov2003 2*STD = 4.1865 -2*STD = -4.187 Date_of_death = Oct2003 2*STD = 4.1866 -2*STD = -4.187 Date_of_death = Oct2003 2*STD = 4.1866 -2*STD = -4.187 Date_of_death = Sep2003 2*STD = 4.1866 -2*STD = -4.187 Date_of_death = Sep2003 2*STD = 4.1866 -2*STD = -4.187 Date_of_death = Aug2003 2*STD = 4.1866 -2*STD = -4.187 Date_of_death = Aug2003 2*STD = 4.1866 -2*STD = -4.187 Date_of_death = Jul2003 2*STD = 4.1867 -2*STD = -4.187 Date_of_death = Jul2003 2*STD = 4.1867 -2*STD = -4.187 Date_of_death = Jun2003 2*STD = 4.1867 -2*STD = -4.187 Date_of_death = Jun2003 2*STD = 4.1867 -2*STD = -4.187 Date_of_death = May2003 2*STD = 4.1868 -2*STD = -4.187 Date_of_death = May2003 2*STD = 4.1868 -2*STD = -4.187 Date_of_death = Apr2003 2*STD = 4.1869 -2*STD = -4.187 Date_of_death = Apr2003 2*STD = 4.1869 -2*STD = -4.187 Date_of_death = Mar2003 2*STD = 4.1869 -2*STD = -4.187 Date_of_death = Mar2003 2*STD = 4.1869 -2*STD = -4.187 Date_of_death = Feb2003 2*STD = 4.187 -2*STD = -4.187 Date_of_death = Feb2003 2*STD = 4.187 -2*STD = -4.187 Date_of_death = Jan2003 2*STD = 4.4342 -2*STD = -4.434 Date_of_death = Jan2003 2*STD = 4.4342 -2*STD = -4.434 Date_of_death = Dec2002 2*STD = 4.4342 -2*STD = -4.434 Date_of_death = Dec2002 2*STD = 4.4342 -2*STD = -4.434 Date_of_death = Nov2002 2*STD = 4.4342 -2*STD = -4.434 Date_of_death = Nov2002 2*STD = 4.4342 -2*STD = -4.434 Date_of_death = Oct2002 2*STD = 4.4343 -2*STD = -4.434 Date_of_death = Oct2002 2*STD = 4.4343 -2*STD = -4.434 Date_of_death = Sep2002 2*STD = 4.4343 -2*STD = -4.434 Date_of_death = Sep2002 2*STD = 4.4343 -2*STD = -4.434 Date_of_death = Aug2002 2*STD = 4.4343 -2*STD = -4.434 Date_of_death = Aug2002 2*STD = 4.4343 -2*STD = -4.434 Date_of_death = Jul2002 2*STD = 4.4343 -2*STD = -4.434 Date_of_death = Jul2002 2*STD = 4.4343 -2*STD = -4.434 Date_of_death = Jun2002 2*STD = 4.4344 -2*STD = -4.434 Date_of_death = Jun2002 2*STD = 4.4344 -2*STD = -4.434 Date_of_death = May2002 2*STD = 4.4344 -2*STD = -4.434 Date_of_death = May2002 2*STD = 4.4344 -2*STD = -4.434 Date_of_death = Apr2002 2*STD = 4.4344 -2*STD = -4.434 Date_of_death = Apr2002 2*STD = 4.4344 -2*STD = -4.434 Date_of_death = Mar2002 2*STD = 4.4345 -2*STD = -4.434 Date_of_death = Mar2002 2*STD = 4.4345 -2*STD = -4.434 Date_of_death = Feb2002 2*STD = 4.4346 -2*STD = -4.435 Date_of_death = Feb2002 2*STD = 4.4346 -2*STD = -4.435 Date_of_death = Jan2002 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Jan2002 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Dec2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Dec2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Nov2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Nov2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Oct2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Oct2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Sep2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Sep2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Aug2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Aug2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Jul2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Jul2001 2*STD = 5.1123 -2*STD = -5.112 Date_of_death = Jun2001 2*STD = 5.1124 -2*STD = -5.112 Date_of_death = Jun2001 2*STD = 5.1124 -2*STD = -5.112 Date_of_death = May2001 2*STD = 5.1124 -2*STD = -5.112 Date_of_death = May2001 2*STD = 5.1124 -2*STD = -5.112 Date_of_death = Apr2001 2*STD = 5.1124 -2*STD = -5.112 Date_of_death = Apr2001 2*STD = 5.1124 -2*STD = -5.112 Date_of_death = Mar2001 2*STD = 5.1125 -2*STD = -5.112 Date_of_death = Mar2001 2*STD = 5.1125 -2*STD = -5.112 Date_of_death = Feb2001 2*STD = 5.1125 -2*STD = -5.112 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
237 OCT2019 2.602419 1.87745 -1.077315 6.282154
238 NOV2019 3.017078 1.87780 -0.663334 6.697491
239 DEC2019 2.462186 1.87826 -1.219138 6.143510
240 JAN2020 3.689849 1.87873 0.007605 7.372092
241 FEB2020 2.272231 1.87751 -1.407625 5.952088
242 MAR2020 3.208346 1.87798 -0.472421 6.889113
243 APR2020 3.189913 1.87843 -0.491737 6.871563
244 MAY2020 3.100163 1.87887 -0.582362 6.782689
245 JUN2020 2.917598 1.87932 -0.765795 6.600991
246 JUL2020 3.422432 1.87976 -0.261821 7.106686
247 AUG2020 2.561581 1.88019 -1.123521 6.246684
248 SEP2020 3.161978 1.88051 -0.523745 6.847700

Forecasts Only Plot

Date_of_death = Sep2020 Forecast = 3.1620 Date_of_death = Aug2020 Forecast = 2.5616 Date_of_death = Aug2020 Forecast = 2.5616 Date_of_death = Jul2020 Forecast = 3.4224 Date_of_death = Jul2020 Forecast = 3.4224 Date_of_death = Jun2020 Forecast = 2.9176 Date_of_death = Jun2020 Forecast = 2.9176 Date_of_death = May2020 Forecast = 3.1002 Date_of_death = May2020 Forecast = 3.1002 Date_of_death = Apr2020 Forecast = 3.1899 Date_of_death = Apr2020 Forecast = 3.1899 Date_of_death = Mar2020 Forecast = 3.2083 Date_of_death = Mar2020 Forecast = 3.2083 Date_of_death = Feb2020 Forecast = 2.2722 Date_of_death = Feb2020 Forecast = 2.2722 Date_of_death = Jan2020 Forecast = 3.6898 Date_of_death = Jan2020 Forecast = 3.6898 Date_of_death = Dec2019 Forecast = 2.4622 Date_of_death = Dec2019 Forecast = 2.4622 Date_of_death = Nov2019 Forecast = 3.0171 Date_of_death = Nov2019 Forecast = 3.0171 Date_of_death = Oct2019 Forecast = 2.6024 Date_of_death = Sep2020 Upper 95% = 6.8477 Lower 95% = -0.5237 Date_of_death = Aug2020 Upper 95% = 6.2467 Lower 95% = -1.1235 Date_of_death = Aug2020 Upper 95% = 6.2467 Lower 95% = -1.1235 Date_of_death = Jul2020 Upper 95% = 7.1067 Lower 95% = -0.2618 Date_of_death = Jul2020 Upper 95% = 7.1067 Lower 95% = -0.2618 Date_of_death = Jun2020 Upper 95% = 6.6010 Lower 95% = -0.7658 Date_of_death = Jun2020 Upper 95% = 6.6010 Lower 95% = -0.7658 Date_of_death = May2020 Upper 95% = 6.7827 Lower 95% = -0.5824 Date_of_death = May2020 Upper 95% = 6.7827 Lower 95% = -0.5824 Date_of_death = Apr2020 Upper 95% = 6.8716 Lower 95% = -0.4917 Date_of_death = Apr2020 Upper 95% = 6.8716 Lower 95% = -0.4917 Date_of_death = Mar2020 Upper 95% = 6.8891 Lower 95% = -0.4724 Date_of_death = Mar2020 Upper 95% = 6.8891 Lower 95% = -0.4724 Date_of_death = Feb2020 Upper 95% = 5.9521 Lower 95% = -1.4076 Date_of_death = Feb2020 Upper 95% = 5.9521 Lower 95% = -1.4076 Date_of_death = Jan2020 Upper 95% = 7.3721 Lower 95% = 0.0076 Date_of_death = Jan2020 Upper 95% = 7.3721 Lower 95% = 0.0076 Date_of_death = Dec2019 Upper 95% = 6.1435 Lower 95% = -1.2191 Date_of_death = Dec2019 Upper 95% = 6.1435 Lower 95% = -1.2191 Date_of_death = Nov2019 Upper 95% = 6.6975 Lower 95% = -0.6633 Date_of_death = Nov2019 Upper 95% = 6.6975 Lower 95% = -0.6633 Date_of_death = Oct2019 Upper 95% = 6.2822 Lower 95% = -1.0773
Forecast Only Plot

Forecasts Plot

X = 21793 Date_of_death = Sep2020 Forecast = 3.1620 Date_of_death = Aug2020 Forecast = 2.5616 Date_of_death = Aug2020 Forecast = 2.5616 Date_of_death = Jul2020 Forecast = 3.4224 Date_of_death = Jul2020 Forecast = 3.4224 Date_of_death = Jun2020 Forecast = 2.9176 Date_of_death = Jun2020 Forecast = 2.9176 Date_of_death = May2020 Forecast = 3.1002 Date_of_death = May2020 Forecast = 3.1002 Date_of_death = Apr2020 Forecast = 3.1899 Date_of_death = Apr2020 Forecast = 3.1899 Date_of_death = Mar2020 Forecast = 3.2083 Date_of_death = Mar2020 Forecast = 3.2083 Date_of_death = Feb2020 Forecast = 2.2722 Date_of_death = Feb2020 Forecast = 2.2722 Date_of_death = Jan2020 Forecast = 3.6898 Date_of_death = Jan2020 Forecast = 3.6898 Date_of_death = Dec2019 Forecast = 2.4622 Date_of_death = Dec2019 Forecast = 2.4622 Date_of_death = Nov2019 Forecast = 3.0171 Date_of_death = Nov2019 Forecast = 3.0171 Date_of_death = Oct2019 Forecast = 2.6024 Date_of_death = Oct2019 Forecast = 2.6024 Date_of_death = Sep2019 Forecast = 3.1756 Date_of_death = Sep2019 Forecast = 3.1756 Date_of_death = Aug2019 Forecast = 2.6968 Date_of_death = Aug2019 Forecast = 2.6968 Date_of_death = Jul2019 Forecast = 3.4124 Date_of_death = Jul2019 Forecast = 3.4124 Date_of_death = Jun2019 Forecast = 3.1118 Date_of_death = Jun2019 Forecast = 3.1118 Date_of_death = May2019 Forecast = 3.2667 Date_of_death = May2019 Forecast = 3.2667 Date_of_death = Apr2019 Forecast = 3.0595 Date_of_death = Apr2019 Forecast = 3.0595 Date_of_death = Mar2019 Forecast = 3.0242 Date_of_death = Mar2019 Forecast = 3.0242 Date_of_death = Feb2019 Forecast = 1.9389 Date_of_death = Feb2019 Forecast = 1.9389 Date_of_death = Jan2019 Forecast = 3.5524 Date_of_death = Jan2019 Forecast = 3.5524 Date_of_death = Dec2018 Forecast = 2.4557 Date_of_death = Dec2018 Forecast = 2.4557 Date_of_death = Nov2018 Forecast = 2.7391 Date_of_death = Nov2018 Forecast = 2.7391 Date_of_death = Oct2018 Forecast = 2.4194 Date_of_death = Oct2018 Forecast = 2.4194 Date_of_death = Sep2018 Forecast = 3.1001 Date_of_death = Sep2018 Forecast = 3.1001 Date_of_death = Aug2018 Forecast = 2.5648 Date_of_death = Aug2018 Forecast = 2.5648 Date_of_death = Jul2018 Forecast = 3.4484 Date_of_death = Jul2018 Forecast = 3.4484 Date_of_death = Jun2018 Forecast = 2.6890 Date_of_death = Jun2018 Forecast = 2.6890 Date_of_death = May2018 Forecast = 2.7799 Date_of_death = May2018 Forecast = 2.7799 Date_of_death = Apr2018 Forecast = 2.9851 Date_of_death = Apr2018 Forecast = 2.9851 Date_of_death = Mar2018 Forecast = 2.7927 Date_of_death = Mar2018 Forecast = 2.7927 Date_of_death = Feb2018 Forecast = 1.9432 Date_of_death = Feb2018 Forecast = 1.9432 Date_of_death = Jan2018 Forecast = 3.5450 Date_of_death = Jan2018 Forecast = 3.5450 Date_of_death = Dec2017 Forecast = 2.5189 Date_of_death = Dec2017 Forecast = 2.5189 Date_of_death = Nov2017 Forecast = 2.4622 Date_of_death = Nov2017 Forecast = 2.4622 Date_of_death = Oct2017 Forecast = 2.3245 Date_of_death = Oct2017 Forecast = 2.3245 Date_of_death = Sep2017 Forecast = 3.1060 Date_of_death = Sep2017 Forecast = 3.1060 Date_of_death = Aug2017 Forecast = 2.6121 Date_of_death = Aug2017 Forecast = 2.6121 Date_of_death = Jul2017 Forecast = 3.1210 Date_of_death = Jul2017 Forecast = 3.1210 Date_of_death = Jun2017 Forecast = 2.3209 Date_of_death = Jun2017 Forecast = 2.3209 Date_of_death = May2017 Forecast = 2.7574 Date_of_death = May2017 Forecast = 2.7574 Date_of_death = Apr2017 Forecast = 2.8566 Date_of_death = Apr2017 Forecast = 2.8566 Date_of_death = Mar2017 Forecast = 2.3994 Date_of_death = Mar2017 Forecast = 2.3994 Date_of_death = Feb2017 Forecast = 1.8259 Date_of_death = Feb2017 Forecast = 1.8259 Date_of_death = Jan2017 Forecast = 3.1068 Date_of_death = Jan2017 Forecast = 3.1068 Date_of_death = Dec2016 Forecast = 2.2779 Date_of_death = Dec2016 Forecast = 2.2779 Date_of_death = Nov2016 Forecast = 2.2888 Date_of_death = Nov2016 Forecast = 2.2888 Date_of_death = Oct2016 Forecast = 2.2471 Date_of_death = Oct2016 Forecast = 2.2471 Date_of_death = Sep2016 Forecast = 3.0044 Date_of_death = Sep2016 Forecast = 3.0044 Date_of_death = Aug2016 Forecast = 2.5544 Date_of_death = Aug2016 Forecast = 2.5544 Date_of_death = Jul2016 Forecast = 3.1233 Date_of_death = Jul2016 Forecast = 3.1233 Date_of_death = Jun2016 Forecast = 2.4442 Date_of_death = Jun2016 Forecast = 2.4442 Date_of_death = May2016 Forecast = 2.8451 Date_of_death = May2016 Forecast = 2.8451 Date_of_death = Apr2016 Forecast = 3.0815 Date_of_death = Apr2016 Forecast = 3.0815 Date_of_death = Mar2016 Forecast = 2.5158 Date_of_death = Mar2016 Forecast = 2.5158 Date_of_death = Feb2016 Forecast = 1.8771 Date_of_death = Feb2016 Forecast = 1.8771 Date_of_death = Jan2016 Forecast = 3.0247 Date_of_death = Jan2016 Forecast = 3.0247 Date_of_death = Dec2015 Forecast = 2.5292 Date_of_death = Dec2015 Forecast = 2.5292 Date_of_death = Nov2015 Forecast = 2.4584 Date_of_death = Nov2015 Forecast = 2.4584 Date_of_death = Oct2015 Forecast = 2.3011 Date_of_death = Oct2015 Forecast = 2.3011 Date_of_death = Sep2015 Forecast = 2.8051 Date_of_death = Sep2015 Forecast = 2.8051 Date_of_death = Aug2015 Forecast = 2.4032 Date_of_death = Aug2015 Forecast = 2.4032 Date_of_death = Jul2015 Forecast = 3.2470 Date_of_death = Jul2015 Forecast = 3.2470 Date_of_death = Jun2015 Forecast = 2.2205 Date_of_death = Jun2015 Forecast = 2.2205 Date_of_death = May2015 Forecast = 2.7021 Date_of_death = May2015 Forecast = 2.7021 Date_of_death = Apr2015 Forecast = 3.0033 Date_of_death = Apr2015 Forecast = 3.0033 Date_of_death = Mar2015 Forecast = 2.5111 Date_of_death = Mar2015 Forecast = 2.5111 Date_of_death = Feb2015 Forecast = 1.6827 Date_of_death = Feb2015 Forecast = 1.6827 Date_of_death = Jan2015 Forecast = 3.0772 Date_of_death = Jan2015 Forecast = 3.0772 Date_of_death = Dec2014 Forecast = 2.5160 Date_of_death = Dec2014 Forecast = 2.5160 Date_of_death = Nov2014 Forecast = 2.5430 Date_of_death = Nov2014 Forecast = 2.5430 Date_of_death = Oct2014 Forecast = 2.2242 Date_of_death = Oct2014 Forecast = 2.2242 Date_of_death = Sep2014 Forecast = 2.9394 Date_of_death = Sep2014 Forecast = 2.9394 Date_of_death = Aug2014 Forecast = 2.3410 Date_of_death = Aug2014 Forecast = 2.3410 Date_of_death = Jul2014 Forecast = 3.3980 Date_of_death = Jul2014 Forecast = 3.3980 Date_of_death = Jun2014 Forecast = 1.9290 Date_of_death = Jun2014 Forecast = 1.9290 Date_of_death = May2014 Forecast = 2.7879 Date_of_death = May2014 Forecast = 2.7879 Date_of_death = Apr2014 Forecast = 2.6975 Date_of_death = Apr2014 Forecast = 2.6975 Date_of_death = Mar2014 Forecast = 2.2648 Date_of_death = Mar2014 Forecast = 2.2648 Date_of_death = Feb2014 Forecast = 1.5360 Date_of_death = Feb2014 Forecast = 1.5360 Date_of_death = Jan2014 Forecast = 2.8295 Date_of_death = Jan2014 Forecast = 2.8295 Date_of_death = Dec2013 Forecast = 1.9597 Date_of_death = Dec2013 Forecast = 1.9597 Date_of_death = Nov2013 Forecast = 2.4024 Date_of_death = Nov2013 Forecast = 2.4024 Date_of_death = Oct2013 Forecast = 1.9741 Date_of_death = Oct2013 Forecast = 1.9741 Date_of_death = Sep2013 Forecast = 2.3294 Date_of_death = Sep2013 Forecast = 2.3294 Date_of_death = Aug2013 Forecast = 2.1517 Date_of_death = Aug2013 Forecast = 2.1517 Date_of_death = Jul2013 Forecast = 3.3124 Date_of_death = Jul2013 Forecast = 3.3124 Date_of_death = Jun2013 Forecast = 1.8177 Date_of_death = Jun2013 Forecast = 1.8177 Date_of_death = May2013 Forecast = 2.6735 Date_of_death = May2013 Forecast = 2.6735 Date_of_death = Apr2013 Forecast = 2.6617 Date_of_death = Apr2013 Forecast = 2.6617 Date_of_death = Mar2013 Forecast = 2.2351 Date_of_death = Mar2013 Forecast = 2.2351 Date_of_death = Feb2013 Forecast = 1.4481 Date_of_death = Feb2013 Forecast = 1.4481 Date_of_death = Jan2013 Forecast = 3.0166 Date_of_death = Jan2013 Forecast = 3.0166 Date_of_death = Dec2012 Forecast = 1.9462 Date_of_death = Dec2012 Forecast = 1.9462 Date_of_death = Nov2012 Forecast = 2.5049 Date_of_death = Nov2012 Forecast = 2.5049 Date_of_death = Oct2012 Forecast = 1.9358 Date_of_death = Oct2012 Forecast = 1.9358 Date_of_death = Sep2012 Forecast = 2.4961 Date_of_death = Sep2012 Forecast = 2.4961 Date_of_death = Aug2012 Forecast = 2.3880 Date_of_death = Aug2012 Forecast = 2.3880 Date_of_death = Jul2012 Forecast = 3.4339 Date_of_death = Jul2012 Forecast = 3.4339 Date_of_death = Jun2012 Forecast = 1.8775 Date_of_death = Jun2012 Forecast = 1.8775 Date_of_death = May2012 Forecast = 2.5901 Date_of_death = May2012 Forecast = 2.5901 Date_of_death = Apr2012 Forecast = 2.8685 Date_of_death = Apr2012 Forecast = 2.8685 Date_of_death = Mar2012 Forecast = 1.8690 Date_of_death = Mar2012 Forecast = 1.8690 Date_of_death = Feb2012 Forecast = 1.2594 Date_of_death = Feb2012 Forecast = 1.2594 Date_of_death = Jan2012 Forecast = 3.1573 Date_of_death = Jan2012 Forecast = 3.1573 Date_of_death = Dec2011 Forecast = 1.8995 Date_of_death = Dec2011 Forecast = 1.8995 Date_of_death = Nov2011 Forecast = 2.5179 Date_of_death = Nov2011 Forecast = 2.5179 Date_of_death = Oct2011 Forecast = 1.4418 Date_of_death = Oct2011 Forecast = 1.4418 Date_of_death = Sep2011 Forecast = 2.4406 Date_of_death = Sep2011 Forecast = 2.4406 Date_of_death = Aug2011 Forecast = 2.0531 Date_of_death = Aug2011 Forecast = 2.0531 Date_of_death = Jul2011 Forecast = 3.5293 Date_of_death = Jul2011 Forecast = 3.5293 Date_of_death = Jun2011 Forecast = 1.8373 Date_of_death = Jun2011 Forecast = 1.8373 Date_of_death = May2011 Forecast = 2.6780 Date_of_death = May2011 Forecast = 2.6780 Date_of_death = Apr2011 Forecast = 2.4037 Date_of_death = Apr2011 Forecast = 2.4037 Date_of_death = Mar2011 Forecast = 1.7823 Date_of_death = Mar2011 Forecast = 1.7823 Date_of_death = Feb2011 Forecast = 1.1205 Date_of_death = Feb2011 Forecast = 1.1205 Date_of_death = Jan2011 Forecast = 3.1918 Date_of_death = Jan2011 Forecast = 3.1918 Date_of_death = Dec2010 Forecast = 1.6701 Date_of_death = Dec2010 Forecast = 1.6701 Date_of_death = Nov2010 Forecast = 2.5941 Date_of_death = Nov2010 Forecast = 2.5941 Date_of_death = Oct2010 Forecast = 1.4992 Date_of_death = Oct2010 Forecast = 1.4992 Date_of_death = Sep2010 Forecast = 2.6307 Date_of_death = Sep2010 Forecast = 2.6307 Date_of_death = Aug2010 Forecast = 2.2591 Date_of_death = Aug2010 Forecast = 2.2591 Date_of_death = Jul2010 Forecast = 3.8943 Date_of_death = Jul2010 Forecast = 3.8943 Date_of_death = Jun2010 Forecast = 1.8985 Date_of_death = Jun2010 Forecast = 1.8985 Date_of_death = May2010 Forecast = 2.9488 Date_of_death = May2010 Forecast = 2.9488 Date_of_death = Apr2010 Forecast = 2.7502 Date_of_death = Apr2010 Forecast = 2.7502 Date_of_death = Mar2010 Forecast = 1.9683 Date_of_death = Mar2010 Forecast = 1.9683 Date_of_death = Feb2010 Forecast = 1.3695 Date_of_death = Feb2010 Forecast = 1.3695 Date_of_death = Jan2010 Forecast = 3.4348 Date_of_death = Jan2010 Forecast = 3.4348 Date_of_death = Dec2009 Forecast = 1.7403 Date_of_death = Dec2009 Forecast = 1.7403 Date_of_death = Nov2009 Forecast = 2.7387 Date_of_death = Nov2009 Forecast = 2.7387 Date_of_death = Oct2009 Forecast = 1.4775 Date_of_death = Oct2009 Forecast = 1.4775 Date_of_death = Sep2009 Forecast = 2.9743 Date_of_death = Sep2009 Forecast = 2.9743 Date_of_death = Aug2009 Forecast = 2.4189 Date_of_death = Aug2009 Forecast = 2.4189 Date_of_death = Jul2009 Forecast = 4.0948 Date_of_death = Jul2009 Forecast = 4.0948 Date_of_death = Jun2009 Forecast = 1.9827 Date_of_death = Jun2009 Forecast = 1.9827 Date_of_death = May2009 Forecast = 2.8638 Date_of_death = May2009 Forecast = 2.8638 Date_of_death = Apr2009 Forecast = 2.8557 Date_of_death = Apr2009 Forecast = 2.8557 Date_of_death = Mar2009 Forecast = 1.9806 Date_of_death = Mar2009 Forecast = 1.9806 Date_of_death = Feb2009 Forecast = 1.4294 Date_of_death = Feb2009 Forecast = 1.4294 Date_of_death = Jan2009 Forecast = 3.0646 Date_of_death = Jan2009 Forecast = 3.0646 Date_of_death = Dec2008 Forecast = 1.8376 Date_of_death = Dec2008 Forecast = 1.8376 Date_of_death = Nov2008 Forecast = 2.7046 Date_of_death = Nov2008 Forecast = 2.7046 Date_of_death = Oct2008 Forecast = 1.5753 Date_of_death = Oct2008 Forecast = 1.5753 Date_of_death = Sep2008 Forecast = 2.9678 Date_of_death = Sep2008 Forecast = 2.9678 Date_of_death = Aug2008 Forecast = 1.8743 Date_of_death = Aug2008 Forecast = 1.8743 Date_of_death = Jul2008 Forecast = 3.7085 Date_of_death = Jul2008 Forecast = 3.7085 Date_of_death = Jun2008 Forecast = 1.8333 Date_of_death = Jun2008 Forecast = 1.8333 Date_of_death = May2008 Forecast = 2.2632 Date_of_death = May2008 Forecast = 2.2632 Date_of_death = Apr2008 Forecast = 2.7669 Date_of_death = Apr2008 Forecast = 2.7669 Date_of_death = Mar2008 Forecast = 1.6170 Date_of_death = Mar2008 Forecast = 1.6170 Date_of_death = Feb2008 Forecast = 1.2530 Date_of_death = Feb2008 Forecast = 1.2530 Date_of_death = Jan2008 Forecast = 3.0591 Date_of_death = Jan2008 Forecast = 3.0591 Date_of_death = Dec2007 Forecast = 1.6288 Date_of_death = Dec2007 Forecast = 1.6288 Date_of_death = Nov2007 Forecast = 2.8013 Date_of_death = Nov2007 Forecast = 2.8013 Date_of_death = Oct2007 Forecast = 1.5002 Date_of_death = Oct2007 Forecast = 1.5002 Date_of_death = Sep2007 Forecast = 2.3126 Date_of_death = Sep2007 Forecast = 2.3126 Date_of_death = Aug2007 Forecast = 1.8859 Date_of_death = Aug2007 Forecast = 1.8859 Date_of_death = Jul2007 Forecast = 3.9088 Date_of_death = Jul2007 Forecast = 3.9088 Date_of_death = Jun2007 Forecast = 1.9287 Date_of_death = Jun2007 Forecast = 1.9287 Date_of_death = May2007 Forecast = 2.1857 Date_of_death = May2007 Forecast = 2.1857 Date_of_death = Apr2007 Forecast = 3.0798 Date_of_death = Apr2007 Forecast = 3.0798 Date_of_death = Mar2007 Forecast = 1.7984 Date_of_death = Mar2007 Forecast = 1.7984 Date_of_death = Feb2007 Forecast = 1.2190 Date_of_death = Feb2007 Forecast = 1.2190 Date_of_death = Jan2007 Forecast = 3.3158 Date_of_death = Jan2007 Forecast = 3.3158 Date_of_death = Dec2006 Forecast = 1.6408 Date_of_death = Dec2006 Forecast = 1.6408 Date_of_death = Nov2006 Forecast = 2.2483 Date_of_death = Nov2006 Forecast = 2.2483 Date_of_death = Oct2006 Forecast = 1.5822 Date_of_death = Oct2006 Forecast = 1.5822 Date_of_death = Sep2006 Forecast = 1.6794 Date_of_death = Sep2006 Forecast = 1.6794 Date_of_death = Aug2006 Forecast = 2.0291 Date_of_death = Aug2006 Forecast = 2.0291 Date_of_death = Jul2006 Forecast = 4.4047 Date_of_death = Jul2006 Forecast = 4.4047 Date_of_death = Jun2006 Forecast = 1.9007 Date_of_death = Jun2006 Forecast = 1.9007 Date_of_death = May2006 Forecast = 2.4073 Date_of_death = May2006 Forecast = 2.4073 Date_of_death = Apr2006 Forecast = 3.4507 Date_of_death = Apr2006 Forecast = 3.4507 Date_of_death = Mar2006 Forecast = 1.9532 Date_of_death = Mar2006 Forecast = 1.9532 Date_of_death = Feb2006 Forecast = 1.2949 Date_of_death = Feb2006 Forecast = 1.2949 Date_of_death = Jan2006 Forecast = 3.6189 Date_of_death = Jan2006 Forecast = 3.6189 Date_of_death = Dec2005 Forecast = 1.8295 Date_of_death = Dec2005 Forecast = 1.8295 Date_of_death = Nov2005 Forecast = 2.4281 Date_of_death = Nov2005 Forecast = 2.4281 Date_of_death = Oct2005 Forecast = 1.8402 Date_of_death = Oct2005 Forecast = 1.8402 Date_of_death = Sep2005 Forecast = 2.0455 Date_of_death = Sep2005 Forecast = 2.0455 Date_of_death = Aug2005 Forecast = 2.4684 Date_of_death = Aug2005 Forecast = 2.4684 Date_of_death = Jul2005 Forecast = 4.4544 Date_of_death = Jul2005 Forecast = 4.4544 Date_of_death = Jun2005 Forecast = 2.0565 Date_of_death = Jun2005 Forecast = 2.0565 Date_of_death = May2005 Forecast = 2.8692 Date_of_death = May2005 Forecast = 2.8692 Date_of_death = Apr2005 Forecast = 4.1253 Date_of_death = Apr2005 Forecast = 4.1253 Date_of_death = Mar2005 Forecast = 2.1097 Date_of_death = Mar2005 Forecast = 2.1097 Date_of_death = Feb2005 Forecast = 1.5270 Date_of_death = Feb2005 Forecast = 1.5270 Date_of_death = Jan2005 Forecast = 3.9284 Date_of_death = Jan2005 Forecast = 3.9284 Date_of_death = Dec2004 Forecast = 2.1962 Date_of_death = Dec2004 Forecast = 2.1962 Date_of_death = Nov2004 Forecast = 2.9647 Date_of_death = Nov2004 Forecast = 2.9647 Date_of_death = Oct2004 Forecast = 2.2325 Date_of_death = Oct2004 Forecast = 2.2325 Date_of_death = Sep2004 Forecast = 2.4940 Date_of_death = Sep2004 Forecast = 2.4940 Date_of_death = Aug2004 Forecast = 1.6945 Date_of_death = Aug2004 Forecast = 1.6945 Date_of_death = Jul2004 Forecast = 4.1750 Date_of_death = Jul2004 Forecast = 4.1750 Date_of_death = Jun2004 Forecast = 2.4473 Date_of_death = Jun2004 Forecast = 2.4473 Date_of_death = May2004 Forecast = 3.4606 Date_of_death = May2004 Forecast = 3.4606 Date_of_death = Apr2004 Forecast = 3.6974 Date_of_death = Apr2004 Forecast = 3.6974 Date_of_death = Mar2004 Forecast = 2.4533 Date_of_death = Mar2004 Forecast = 2.4533 Date_of_death = Feb2004 Forecast = 1.7215 Date_of_death = Feb2004 Forecast = 1.7215 Date_of_death = Jan2004 Forecast = 4.6478 Date_of_death = Jan2004 Forecast = 4.6478 Date_of_death = Dec2003 Forecast = 2.6681 Date_of_death = Dec2003 Forecast = 2.6681 Date_of_death = Nov2003 Forecast = 3.6929 Date_of_death = Nov2003 Forecast = 3.6929 Date_of_death = Oct2003 Forecast = 2.7142 Date_of_death = Oct2003 Forecast = 2.7142 Date_of_death = Sep2003 Forecast = 3.0688 Date_of_death = Sep2003 Forecast = 3.0688 Date_of_death = Aug2003 Forecast = 1.7317 Date_of_death = Aug2003 Forecast = 1.7317 Date_of_death = Jul2003 Forecast = 3.7125 Date_of_death = Jul2003 Forecast = 3.7125 Date_of_death = Jun2003 Forecast = 1.3425 Date_of_death = Jun2003 Forecast = 1.3425 Date_of_death = May2003 Forecast = 4.3720 Date_of_death = May2003 Forecast = 4.3720 Date_of_death = Apr2003 Forecast = 3.0146 Date_of_death = Apr2003 Forecast = 3.0146 Date_of_death = Mar2003 Forecast = 3.0320 Date_of_death = Mar2003 Forecast = 3.0320 Date_of_death = Feb2003 Forecast = 1.3551 Date_of_death = Feb2003 Forecast = 1.3551 Date_of_death = Jan2003 Forecast = 6.0400 Date_of_death = Jan2003 Forecast = 6.0400 Date_of_death = Dec2002 Forecast = 3.5622 Date_of_death = Dec2002 Forecast = 3.5622 Date_of_death = Nov2002 Forecast = 4.0708 Date_of_death = Nov2002 Forecast = 4.0708 Date_of_death = Oct2002 Forecast = 1.0389 Date_of_death = Oct2002 Forecast = 1.0389 Date_of_death = Sep2002 Forecast = 1.5127 Date_of_death = Sep2002 Forecast = 1.5127 Date_of_death = Aug2002 Forecast = 2.0206 Date_of_death = Aug2002 Forecast = 2.0206 Date_of_death = Jul2002 Forecast = 3.5166 Date_of_death = Jul2002 Forecast = 3.5166 Date_of_death = Jun2002 Forecast = 1.0126 Date_of_death = Jun2002 Forecast = 1.0126 Date_of_death = May2002 Forecast = 3.4939 Date_of_death = May2002 Forecast = 3.4939 Date_of_death = Apr2002 Forecast = 3.5089 Date_of_death = Apr2002 Forecast = 3.5089 Date_of_death = Mar2002 Forecast = 4.0292 Date_of_death = Mar2002 Forecast = 4.0292 Date_of_death = Feb2002 Forecast = 1.5339 Date_of_death = Feb2002 Forecast = 1.5339 Date_of_death = Jan2002 Forecast = 6.0270 Date_of_death = Jan2002 Forecast = 6.0270 Date_of_death = Dec2001 Forecast = 1.0089 Date_of_death = Dec2001 Forecast = 1.0089 Date_of_death = Nov2001 Forecast = 1.9940 Date_of_death = Nov2001 Forecast = 1.9940 Date_of_death = Oct2001 Forecast = 0.9941 Date_of_death = Oct2001 Forecast = 0.9941 Date_of_death = Sep2001 Forecast = 0.9903 Date_of_death = Sep2001 Forecast = 0.9903 Date_of_death = Aug2001 Forecast = 1.9915 Date_of_death = Aug2001 Forecast = 1.9915 Date_of_death = Jul2001 Forecast = 6.0125 Date_of_death = Jul2001 Forecast = 6.0125 Date_of_death = Jun2001 Forecast = 1.0157 Date_of_death = Jun2001 Forecast = 1.0157 Date_of_death = May2001 Forecast = 6.0374 Date_of_death = May2001 Forecast = 6.0374 Date_of_death = Apr2001 Forecast = 1.0191 Date_of_death = Apr2001 Forecast = 1.0191 Date_of_death = Mar2001 Forecast = 2.0039 Date_of_death = Mar2001 Forecast = 2.0039 Date_of_death = Feb2001 Forecast = 1.0000 Date_of_death = Sep2019 incidents = 3.0000 Date_of_death = Aug2019 incidents = 1.0000 Date_of_death = Jul2019 incidents = 4.0000 Date_of_death = Jun2019 incidents = 1.0000 Date_of_death = May2019 incidents = 2.0000 Date_of_death = Apr2019 incidents = 6.0000 Date_of_death = Mar2019 incidents = 6.0000 Date_of_death = Feb2019 incidents = 6.0000 Date_of_death = Jan2019 incidents = 4.0000 Date_of_death = Dec2018 incidents = 1.0000 Date_of_death = Nov2018 incidents = 5.0000 Date_of_death = Oct2018 incidents = 3.0000 Date_of_death = Sep2018 incidents = 2.0000 Date_of_death = Aug2018 incidents = 2.0000 Date_of_death = Jul2018 incidents = 1.0000 Date_of_death = Jun2018 incidents = 6.0000 Date_of_death = May2018 incidents = 6.0000 Date_of_death = Apr2018 incidents = 1.0000 Date_of_death = Mar2018 incidents = 4.0000 Date_of_death = Feb2018 incidents = 1.0000 Date_of_death = Jan2018 incidents = 3.0000 Date_of_death = Dec2017 incidents = 1.0000 Date_of_death = Nov2017 incidents = 6.0000 Date_of_death = Oct2017 incidents = 3.0000 Date_of_death = Sep2017 incidents = 2.0000 Date_of_death = Aug2017 incidents = 1.0000 Date_of_death = Jul2017 incidents = 6.0000 Date_of_death = Jun2017 incidents = 6.0000 Date_of_death = May2017 incidents = 2.0000 Date_of_death = Apr2017 incidents = 3.0000 Date_of_death = Mar2017 incidents = 6.0000 Date_of_death = Feb2017 incidents = 1.0000 Date_of_death = Jan2017 incidents = 6.0000 Date_of_death = Dec2016 incidents = 2.0000 Date_of_death = Nov2016 incidents = 2.0000 Date_of_death = Oct2016 incidents = 1.0000 Date_of_death = Sep2016 incidents = 2.0000 Date_of_death = Aug2016 incidents = 1.0000 Date_of_death = Jul2016 incidents = 2.0000 Date_of_death = Jun2016 incidents = 1.0000 Date_of_death = May2016 incidents = 2.0000 Date_of_death = Apr2016 incidents = 1.0000 Date_of_death = Mar2016 incidents = 3.0000 Date_of_death = Feb2016 incidents = 3.0000 Date_of_death = Jan2016 incidents = 6.0000 Date_of_death = Dec2015 incidents = 1.0000 Date_of_death = Nov2015 incidents = 2.0000 Date_of_death = Oct2015 incidents = 3.0000 Date_of_death = Sep2015 incidents = 6.0000 Date_of_death = Aug2015 incidents = 4.0000 Date_of_death = Jul2015 incidents = 1.0000 Date_of_death = Jun2015 incidents = 4.0000 Date_of_death = May2015 incidents = 3.0000 Date_of_death = Apr2015 incidents = 2.0000 Date_of_death = Mar2015 incidents = 1.0000 Date_of_death = Feb2015 incidents = 3.0000 Date_of_death = Jan2015 incidents = 2.0000 Date_of_death = Dec2014 incidents = 2.0000 Date_of_death = Nov2014 incidents = 1.0000 Date_of_death = Oct2014 incidents = 3.0000 Date_of_death = Sep2014 incidents = 2.0000 Date_of_death = Aug2014 incidents = 4.0000 Date_of_death = Jul2014 incidents = 2.0000 Date_of_death = Jun2014 incidents = 6.0000 Date_of_death = May2014 incidents = 2.0000 Date_of_death = Apr2014 incidents = 6.0000 Date_of_death = Mar2014 incidents = 4.0000 Date_of_death = Feb2014 incidents = 2.0000 Date_of_death = Jan2014 incidents = 4.0000 Date_of_death = Dec2013 incidents = 6.0000 Date_of_death = Nov2013 incidents = 1.0000 Date_of_death = Oct2013 incidents = 2.0000 Date_of_death = Sep2013 incidents = 6.0000 Date_of_death = Aug2013 incidents = 1.0000 Date_of_death = Jul2013 incidents = 1.0000 Date_of_death = Jun2013 incidents = 1.0000 Date_of_death = May2013 incidents = 2.0000 Date_of_death = Apr2013 incidents = 2.0000 Date_of_death = Mar2013 incidents = 2.0000 Date_of_death = Feb2013 incidents = 2.0000 Date_of_death = Jan2013 incidents = 1.0000 Date_of_death = Dec2012 incidents = 3.0000 Date_of_death = Nov2012 incidents = 2.0000 Date_of_death = Oct2012 incidents = 3.0000 Date_of_death = Sep2012 incidents = 2.0000 Date_of_death = Aug2012 incidents = 1.0000 Date_of_death = Jul2012 incidents = 3.0000 Date_of_death = Jun2012 incidents = 2.0000 Date_of_death = May2012 incidents = 4.0000 Date_of_death = Apr2012 incidents = 1.0000 Date_of_death = Mar2012 incidents = 6.0000 Date_of_death = Feb2012 incidents = 3.0000 Date_of_death = Jan2012 incidents = 1.0000 Date_of_death = Dec2011 incidents = 2.0000 Date_of_death = Nov2011 incidents = 2.0000 Date_of_death = Oct2011 incidents = 6.0000 Date_of_death = Sep2011 incidents = 2.0000 Date_of_death = Aug2011 incidents = 4.0000 Date_of_death = Jul2011 incidents = 1.0000 Date_of_death = Jun2011 incidents = 1.0000 Date_of_death = May2011 incidents = 1.0000 Date_of_death = Apr2011 incidents = 6.0000 Date_of_death = Mar2011 incidents = 2.0000 Date_of_death = Feb2011 incidents = 2.0000 Date_of_death = Jan2011 incidents = 2.0000 Date_of_death = Dec2010 incidents = 3.0000 Date_of_death = Nov2010 incidents = 1.0000 Date_of_death = Oct2010 incidents = 1.0000 Date_of_death = Sep2010 incidents = 1.0000 Date_of_death = Aug2010 incidents = 1.0000 Date_of_death = Jul2010 incidents = 1.0000 Date_of_death = Jun2010 incidents = 2.0000 Date_of_death = May2010 incidents = 1.0000 Date_of_death = Apr2010 incidents = 1.0000 Date_of_death = Mar2010 incidents = 2.0000 Date_of_death = Feb2010 incidents = 1.0000 Date_of_death = Jan2010 incidents = 3.0000 Date_of_death = Dec2009 incidents = 3.0000 Date_of_death = Nov2009 incidents = 3.0000 Date_of_death = Oct2009 incidents = 3.0000 Date_of_death = Sep2009 incidents = 1.0000 Date_of_death = Aug2009 incidents = 2.0000 Date_of_death = Jul2009 incidents = 3.0000 Date_of_death = Jun2009 incidents = 2.0000 Date_of_death = May2009 incidents = 4.0000 Date_of_death = Apr2009 incidents = 2.0000 Date_of_death = Mar2009 incidents = 2.0000 Date_of_death = Feb2009 incidents = 1.0000 Date_of_death = Jan2009 incidents = 6.0000 Date_of_death = Dec2008 incidents = 1.0000 Date_of_death = Nov2008 incidents = 3.0000 Date_of_death = Oct2008 incidents = 1.0000 Date_of_death = Sep2008 incidents = 3.0000 Date_of_death = Aug2008 incidents = 6.0000 Date_of_death = Jul2008 incidents = 6.0000 Date_of_death = Jun2008 incidents = 2.0000 Date_of_death = May2008 incidents = 6.0000 Date_of_death = Apr2008 incidents = 2.0000 Date_of_death = Mar2008 incidents = 3.0000 Date_of_death = Feb2008 incidents = 1.0000 Date_of_death = Jan2008 incidents = 2.0000 Date_of_death = Dec2007 incidents = 2.0000 Date_of_death = Nov2007 incidents = 1.0000 Date_of_death = Oct2007 incidents = 1.0000 Date_of_death = Sep2007 incidents = 6.0000 Date_of_death = Aug2007 incidents = 1.0000 Date_of_death = Jul2007 incidents = 2.0000 Date_of_death = Jun2007 incidents = 1.0000 Date_of_death = May2007 incidents = 3.0000 Date_of_death = Apr2007 incidents = 1.0000 Date_of_death = Mar2007 incidents = 1.0000 Date_of_death = Feb2007 incidents = 2.0000 Date_of_death = Jan2007 incidents = 2.0000 Date_of_death = Dec2006 incidents = 2.0000 Date_of_death = Nov2006 incidents = 6.0000 Date_of_death = Oct2006 incidents = 1.0000 Date_of_death = Sep2006 incidents = 6.0000 Date_of_death = Aug2006 incidents = 1.0000 Date_of_death = Jul2006 incidents = 1.0000 Date_of_death = Jun2006 incidents = 2.0000 Date_of_death = May2006 incidents = 1.0000 Date_of_death = Apr2006 incidents = 1.0000 Date_of_death = Mar2006 incidents = 1.0000 Date_of_death = Feb2006 incidents = 1.0000 Date_of_death = Jan2006 incidents = 2.0000 Date_of_death = Dec2005 incidents = 1.0000 Date_of_death = Nov2005 incidents = 2.0000 Date_of_death = Oct2005 incidents = 1.0000 Date_of_death = Sep2005 incidents = 1.0000 Date_of_death = Aug2005 incidents = 1.0000 Date_of_death = Jul2005 incidents = 5.0000 Date_of_death = Jun2005 incidents = 2.0000 Date_of_death = May2005 incidents = 1.0000 Date_of_death = Apr2005 incidents = 1.0000 Date_of_death = Mar2005 incidents = 2.0000 Date_of_death = Feb2005 incidents = 1.0000 Date_of_death = Jan2005 incidents = 3.0000 Date_of_death = Dec2004 incidents = 1.0000 Date_of_death = Nov2004 incidents = 1.0000 Date_of_death = Oct2004 incidents = 1.0000 Date_of_death = Sep2004 incidents = 1.0000 Date_of_death = Aug2004 incidents = 6.0000 Date_of_death = Jul2004 incidents = 6.0000 Date_of_death = Jun2004 incidents = 1.0000 Date_of_death = May2004 incidents = 1.0000 Date_of_death = Apr2004 incidents = 6.0000 Date_of_death = Mar2004 incidents = 1.0000 Date_of_death = Feb2004 incidents = 1.0000 Date_of_death = Jan2004 incidents = 2.0000 Date_of_death = Dec2003 incidents = 1.0000 Date_of_death = Nov2003 incidents = 1.0000 Date_of_death = Oct2003 incidents = 1.0000 Date_of_death = Sep2003 incidents = 1.0000 Date_of_death = Aug2003 incidents = 2.0000 Date_of_death = Jul2003 incidents = 6.0000 Date_of_death = Jun2003 incidents = 6.0000 Date_of_death = May2003 incidents = 1.0000 Date_of_death = Apr2003 incidents = 6.0000 Date_of_death = Mar2003 incidents = 1.0000 Date_of_death = Feb2003 incidents = 3.0000 Date_of_death = Jan2003 incidents = 2.0000 Date_of_death = Dec2002 incidents = 1.0000 Date_of_death = Nov2002 incidents = 3.0000 Date_of_death = Oct2002 incidents = 6.0000 Date_of_death = Sep2002 incidents = 6.0000 Date_of_death = Aug2002 incidents = 1.0000 Date_of_death = Jul2002 incidents = 4.0000 Date_of_death = Jun2002 incidents = 2.0000 Date_of_death = May2002 incidents = 6.0000 Date_of_death = Apr2002 incidents = 2.0000 Date_of_death = Mar2002 incidents = 1.0000 Date_of_death = Feb2002 incidents = 1.0000 Date_of_death = Jan2002 incidents = 6.0000 Date_of_death = Dec2001 incidents = 6.0000 Date_of_death = Nov2001 incidents = 6.0000 Date_of_death = Oct2001 incidents = 1.0000 Date_of_death = Sep2001 incidents = 2.0000 Date_of_death = Aug2001 incidents = 2.0000 Date_of_death = Jul2001 incidents = 1.0000 Date_of_death = Jun2001 incidents = 1.0000 Date_of_death = May2001 incidents = 1.0000 Date_of_death = Apr2001 incidents = 6.0000 Date_of_death = Mar2001 incidents = 6.0000 Date_of_death = Feb2001 incidents = 2.0000 Date_of_death = Sep2020 Upper 95% = 6.8477 Lower 95% = -0.5237 Date_of_death = Aug2020 Upper 95% = 6.2467 Lower 95% = -1.1235 Date_of_death = Aug2020 Upper 95% = 6.2467 Lower 95% = -1.1235 Date_of_death = Jul2020 Upper 95% = 7.1067 Lower 95% = -0.2618 Date_of_death = Jul2020 Upper 95% = 7.1067 Lower 95% = -0.2618 Date_of_death = Jun2020 Upper 95% = 6.6010 Lower 95% = -0.7658 Date_of_death = Jun2020 Upper 95% = 6.6010 Lower 95% = -0.7658 Date_of_death = May2020 Upper 95% = 6.7827 Lower 95% = -0.5824 Date_of_death = May2020 Upper 95% = 6.7827 Lower 95% = -0.5824 Date_of_death = Apr2020 Upper 95% = 6.8716 Lower 95% = -0.4917 Date_of_death = Apr2020 Upper 95% = 6.8716 Lower 95% = -0.4917 Date_of_death = Mar2020 Upper 95% = 6.8891 Lower 95% = -0.4724 Date_of_death = Mar2020 Upper 95% = 6.8891 Lower 95% = -0.4724 Date_of_death = Feb2020 Upper 95% = 5.9521 Lower 95% = -1.4076 Date_of_death = Feb2020 Upper 95% = 5.9521 Lower 95% = -1.4076 Date_of_death = Jan2020 Upper 95% = 7.3721 Lower 95% = 0.0076 Date_of_death = Jan2020 Upper 95% = 7.3721 Lower 95% = 0.0076 Date_of_death = Dec2019 Upper 95% = 6.1435 Lower 95% = -1.2191 Date_of_death = Dec2019 Upper 95% = 6.1435 Lower 95% = -1.2191 Date_of_death = Nov2019 Upper 95% = 6.6975 Lower 95% = -0.6633 Date_of_death = Nov2019 Upper 95% = 6.6975 Lower 95% = -0.6633 Date_of_death = Oct2019 Upper 95% = 6.2822 Lower 95% = -1.0773
Forecast Plot

County=Jackson

Series Span Summary

Estimation Span

County=Jackson

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.82627 1.33030

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.82627 1.33030

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.40975
Level Error Variance 0.52866
Season Error Variance 1.69411

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -401.2
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 808.33
BIC (smaller is better) 818.56
AICC (smaller is better) 808.44
HQIC (smaller is better) 812.46
CAIC (smaller is better) 821.56
Likelihood Optimization Algorithm Converged in 14 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 1.73891 0.19975 8.71 <.0001
Level Error Variance 1.189838E-9 8.18539E-7 0.00 0.9988
Season Error Variance 0.00236 0.01798 0.13 0.8954

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 2.05367
Root Mean Squared Error 1.43306
Mean Absolute Percentage Error 71.26681
Maximum Percent Error 74.99998
R-Square -0.17096
Adjusted R-Square -0.18156
Random Walk R-Square 0.41396
Amemiya's Adjusted R-Square -0.20275

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 15.11 0.0001
Level 1 1086.48 <.0001
Season 11 11.17 0.4292

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.830339579 0.0858673

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00236

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error		 Chi-Square DF Pr > ChiSq
143 DEC2011 Additive Outlier -2.71367 1.3581463 3.99 1 0.0457
107 DEC2008 Additive Outlier -2.70681 1.3578992 3.97 1 0.0462

Residual Diagnostics Panel

Prediction Error = 4.5937 Percent = 0.0243 Prediction Error = 4.5469 Percent = 0.0295 Prediction Error = 4.5469 Percent = 0.0295 Prediction Error = 4.5 Percent = 0.0355 Prediction Error = 4.5 Percent = 0.0355 Prediction Error = 4.4531 Percent = 0.0425 Prediction Error = 4.4531 Percent = 0.0425 Prediction Error = 4.4062 Percent = 0.0506 Prediction Error = 4.4062 Percent = 0.0506 Prediction Error = 4.3594 Percent = 0.06 Prediction Error = 4.3594 Percent = 0.06 Prediction Error = 4.3125 Percent = 0.0708 Prediction Error = 4.3125 Percent = 0.0708 Prediction Error = 4.2656 Percent = 0.0831 Prediction Error = 4.2656 Percent = 0.0831 Prediction Error = 4.2187 Percent = 0.0972 Prediction Error = 4.2187 Percent = 0.0972 Prediction Error = 4.1719 Percent = 0.113 Prediction Error = 4.1719 Percent = 0.113 Prediction Error = 4.125 Percent = 0.1309 Prediction Error = 4.125 Percent = 0.1309 Prediction Error = 4.0781 Percent = 0.1508 Prediction Error = 4.0781 Percent = 0.1508 Prediction Error = 4.0312 Percent = 0.1731 Prediction Error = 4.0312 Percent = 0.1731 Prediction Error = 3.9844 Percent = 0.1978 Prediction Error = 3.9844 Percent = 0.1978 Prediction Error = 3.9375 Percent = 0.225 Prediction Error = 3.9375 Percent = 0.225 Prediction Error = 3.8906 Percent = 0.255 Prediction Error = 3.8906 Percent = 0.255 Prediction Error = 3.8437 Percent = 0.2878 Prediction Error = 3.8437 Percent = 0.2878 Prediction Error = 3.7969 Percent = 0.3236 Prediction Error = 3.7969 Percent = 0.3236 Prediction Error = 3.75 Percent = 0.3625 Prediction Error = 3.75 Percent = 0.3625 Prediction Error = 3.7031 Percent = 0.4046 Prediction Error = 3.7031 Percent = 0.4046 Prediction Error = 3.6562 Percent = 0.4502 Prediction Error = 3.6562 Percent = 0.4502 Prediction Error = 3.6094 Percent = 0.4993 Prediction Error = 3.6094 Percent = 0.4993 Prediction Error = 3.5625 Percent = 0.5521 Prediction Error = 3.5625 Percent = 0.5521 Prediction Error = 3.5156 Percent = 0.6088 Prediction Error = 3.5156 Percent = 0.6088 Prediction Error = 3.4687 Percent = 0.6697 Prediction Error = 3.4687 Percent = 0.6697 Prediction Error = 3.4219 Percent = 0.7349 Prediction Error = 3.4219 Percent = 0.7349 Prediction Error = 3.375 Percent = 0.8048 Prediction Error = 3.375 Percent = 0.8048 Prediction Error = 3.3281 Percent = 0.8797 Prediction Error = 3.3281 Percent = 0.8797 Prediction Error = 3.2812 Percent = 0.9599 Prediction Error = 3.2812 Percent = 0.9599 Prediction Error = 3.2344 Percent = 1.0459 Prediction Error = 3.2344 Percent = 1.0459 Prediction Error = 3.1875 Percent = 1.1381 Prediction Error = 3.1875 Percent = 1.1381 Prediction Error = 3.1406 Percent = 1.2372 Prediction Error = 3.1406 Percent = 1.2372 Prediction Error = 3.0937 Percent = 1.3436 Prediction Error = 3.0937 Percent = 1.3436 Prediction Error = 3.0469 Percent = 1.4581 Prediction Error = 3.0469 Percent = 1.4581 Prediction Error = 3 Percent = 1.5814 Prediction Error = 3 Percent = 1.5814 Prediction Error = 2.9531 Percent = 1.7143 Prediction Error = 2.9531 Percent = 1.7143 Prediction Error = 2.9062 Percent = 1.8574 Prediction Error = 2.9062 Percent = 1.8574 Prediction Error = 2.8594 Percent = 2.0118 Prediction Error = 2.8594 Percent = 2.0118 Prediction Error = 2.8125 Percent = 2.1782 Prediction Error = 2.8125 Percent = 2.1782 Prediction Error = 2.7656 Percent = 2.3575 Prediction Error = 2.7656 Percent = 2.3575 Prediction Error = 2.7187 Percent = 2.5506 Prediction Error = 2.7187 Percent = 2.5506 Prediction Error = 2.6719 Percent = 2.7583 Prediction Error = 2.6719 Percent = 2.7583 Prediction Error = 2.625 Percent = 2.9815 Prediction Error = 2.625 Percent = 2.9815 Prediction Error = 2.5781 Percent = 3.2208 Prediction Error = 2.5781 Percent = 3.2208 Prediction Error = 2.5312 Percent = 3.4769 Prediction Error = 2.5312 Percent = 3.4769 Prediction Error = 2.4844 Percent = 3.7505 Prediction Error = 2.4844 Percent = 3.7505 Prediction Error = 2.4375 Percent = 4.0419 Prediction Error = 2.4375 Percent = 4.0419 Prediction Error = 2.3906 Percent = 4.3515 Prediction Error = 2.3906 Percent = 4.3515 Prediction Error = 2.3437 Percent = 4.6795 Prediction Error = 2.3437 Percent = 4.6795 Prediction Error = 2.2969 Percent = 5.0258 Prediction Error = 2.2969 Percent = 5.0258 Prediction Error = 2.25 Percent = 5.3903 Prediction Error = 2.25 Percent = 5.3903 Prediction Error = 2.2031 Percent = 5.7725 Prediction Error = 2.2031 Percent = 5.7725 Prediction Error = 2.1562 Percent = 6.1719 Prediction Error = 2.1562 Percent = 6.1719 Prediction Error = 2.1094 Percent = 6.5875 Prediction Error = 2.1094 Percent = 6.5875 Prediction Error = 2.0625 Percent = 7.0183 Prediction Error = 2.0625 Percent = 7.0183 Prediction Error = 2.0156 Percent = 7.4631 Prediction Error = 2.0156 Percent = 7.4631 Prediction Error = 1.9219 Percent = 8.3878 Prediction Error = 1.9219 Percent = 8.3878 Prediction Error = 1.7344 Percent = 10.32 Prediction Error = 1.7344 Percent = 10.32 Prediction Error = 1.5937 Percent = 11.763 Prediction Error = 1.5937 Percent = 11.763 Prediction Error = 1.5 Percent = 12.678 Prediction Error = 1.5 Percent = 12.678 Prediction Error = 1.4531 Percent = 13.113 Prediction Error = 1.4531 Percent = 13.113 Prediction Error = 1.4062 Percent = 13.528 Prediction Error = 1.4062 Percent = 13.528 Prediction Error = 1.3594 Percent = 13.922 Prediction Error = 1.3594 Percent = 13.922 Prediction Error = 1.3125 Percent = 14.291 Prediction Error = 1.3125 Percent = 14.291 Prediction Error = 1.2656 Percent = 14.633 Prediction Error = 1.2656 Percent = 14.633 Prediction Error = 1.2187 Percent = 14.946 Prediction Error = 1.2187 Percent = 14.946 Prediction Error = 1.1719 Percent = 15.228 Prediction Error = 1.1719 Percent = 15.228 Prediction Error = 1.125 Percent = 15.478 Prediction Error = 1.125 Percent = 15.478 Prediction Error = 1.0781 Percent = 15.694 Prediction Error = 1.0781 Percent = 15.694 Prediction Error = 1.0312 Percent = 15.875 Prediction Error = 1.0312 Percent = 15.875 Prediction Error = 0.9844 Percent = 16.021 Prediction Error = 0.9844 Percent = 16.021 Prediction Error = 0.9375 Percent = 16.132 Prediction Error = 0.9375 Percent = 16.132 Prediction Error = 0.8906 Percent = 16.207 Prediction Error = 0.8906 Percent = 16.207 Prediction Error = 0.8437 Percent = 16.247 Prediction Error = 0.8437 Percent = 16.247 Prediction Error = 0.7969 Percent = 16.253 Prediction Error = 0.7969 Percent = 16.253 Prediction Error = 0.75 Percent = 16.226 Prediction Error = 0.75 Percent = 16.226 Prediction Error = 0.7031 Percent = 16.167 Prediction Error = 0.7031 Percent = 16.167 Prediction Error = 0.6562 Percent = 16.077 Prediction Error = 0.6562 Percent = 16.077 Prediction Error = 0.6094 Percent = 15.958 Prediction Error = 0.6094 Percent = 15.958 Prediction Error = 0.5625 Percent = 15.813 Prediction Error = 0.5625 Percent = 15.813 Prediction Error = 0.5156 Percent = 15.642 Prediction Error = 0.5156 Percent = 15.642 Prediction Error = 0.4687 Percent = 15.449 Prediction Error = 0.4687 Percent = 15.449 Prediction Error = 0.4219 Percent = 15.235 Prediction Error = 0.4219 Percent = 15.235 Prediction Error = 0.375 Percent = 15.002 Prediction Error = 0.375 Percent = 15.002 Prediction Error = 0.3281 Percent = 14.752 Prediction Error = 0.3281 Percent = 14.752 Prediction Error = 0.2812 Percent = 14.489 Prediction Error = 0.2812 Percent = 14.489 Prediction Error = -0.094 Percent = 12.142 Prediction Error = -0.094 Percent = 12.142 Prediction Error = -0.188 Percent = 11.567 Prediction Error = -0.188 Percent = 11.567 Prediction Error = -0.234 Percent = 11.293 Prediction Error = -0.234 Percent = 11.293 Prediction Error = -0.281 Percent = 11.029 Prediction Error = -0.281 Percent = 11.029 Prediction Error = -0.328 Percent = 10.778 Prediction Error = -0.328 Percent = 10.778 Prediction Error = -0.375 Percent = 10.541 Prediction Error = -0.375 Percent = 10.541 Prediction Error = -0.422 Percent = 10.319 Prediction Error = -0.422 Percent = 10.319 Prediction Error = -0.469 Percent = 10.113 Prediction Error = -0.469 Percent = 10.113 Prediction Error = -0.516 Percent = 9.9247 Prediction Error = -0.516 Percent = 9.9247 Prediction Error = -0.563 Percent = 9.7546 Prediction Error = -0.563 Percent = 9.7546 Prediction Error = -0.609 Percent = 9.6032 Prediction Error = -0.609 Percent = 9.6032 Prediction Error = -0.656 Percent = 9.4708 Prediction Error = -0.656 Percent = 9.4708 Prediction Error = -0.703 Percent = 9.3575 Prediction Error = -0.703 Percent = 9.3575 Prediction Error = -0.75 Percent = 9.2632 Prediction Error = -0.75 Percent = 9.2632 Prediction Error = -0.797 Percent = 9.1876 Prediction Error = -0.797 Percent = 9.1876 Prediction Error = -0.844 Percent = 9.1298 Prediction Error = -0.844 Percent = 9.1298 Prediction Error = -0.891 Percent = 9.0893 Prediction Error = -0.891 Percent = 9.0893 Prediction Error = -0.938 Percent = 9.0648 Prediction Error = -0.938 Percent = 9.0648 Prediction Error = -0.984 Percent = 9.0551 Prediction Error = -0.984 Percent = 9.0551 Prediction Error = -1.031 Percent = 9.0588 Prediction Error = -1.031 Percent = 9.0588 Prediction Error = -1.078 Percent = 9.0741 Prediction Error = -1.078 Percent = 9.0741 Prediction Error = -1.125 Percent = 9.0994 Prediction Error = -1.125 Percent = 9.0994 Prediction Error = -1.172 Percent = 9.1326 Prediction Error = -1.172 Percent = 9.1326 Prediction Error = -1.219 Percent = 9.1718 Prediction Error = -1.219 Percent = 9.1718 Prediction Error = -1.359 Percent = 9.3034 Prediction Error = -1.359 Percent = 9.3034 Prediction Error = -1.406 Percent = 9.3447 Prediction Error = -1.406 Percent = 9.3447 Prediction Error = -1.453 Percent = 9.3812 Prediction Error = -1.453 Percent = 9.3812 Prediction Error = -1.5 Percent = 9.4106 Prediction Error = -1.5 Percent = 9.4106 Prediction Error = -1.547 Percent = 9.4311 Prediction Error = -1.547 Percent = 9.4311 Prediction Error = -1.594 Percent = 9.4407 Prediction Error = -1.594 Percent = 9.4407 Prediction Error = -1.641 Percent = 9.4378 Prediction Error = -1.641 Percent = 9.4378 Prediction Error = -1.688 Percent = 9.4207 Prediction Error = -1.688 Percent = 9.4207 Prediction Error = -1.734 Percent = 9.3881 Prediction Error = -1.734 Percent = 9.3881 Prediction Error = -1.781 Percent = 9.339 Prediction Error = -1.781 Percent = 9.339 Prediction Error = -1.828 Percent = 9.2723 Prediction Error = -1.828 Percent = 9.2723 Prediction Error = -1.875 Percent = 9.1875 Prediction Error = -1.875 Percent = 9.1875 Prediction Error = -1.922 Percent = 9.0841 Prediction Error = -1.922 Percent = 9.0841 Prediction Error = -1.969 Percent = 8.962 Prediction Error = -1.969 Percent = 8.962 Prediction Error = -2.016 Percent = 8.8213 Prediction Error = -2.016 Percent = 8.8213 Prediction Error = -2.063 Percent = 8.6624 Prediction Error = -2.063 Percent = 8.6624 Prediction Error = -2.109 Percent = 8.4858 Prediction Error = -2.109 Percent = 8.4858 Prediction Error = -2.156 Percent = 8.2924 Prediction Error = -2.156 Percent = 8.2924 Prediction Error = -2.203 Percent = 8.0833 Prediction Error = -2.203 Percent = 8.0833 Prediction Error = -2.25 Percent = 7.8595 Prediction Error = -2.25 Percent = 7.8595 Prediction Error = -2.297 Percent = 7.6226 Prediction Error = -2.297 Percent = 7.6226 Prediction Error = -2.344 Percent = 7.3739 Prediction Error = -2.344 Percent = 7.3739 Prediction Error = -2.766 Percent = 4.8797 Prediction Error = -2.766 Percent = 4.8797 Prediction Error = -2.859 Percent = 4.3312 Prediction Error = -2.859 Percent = 4.3312 Prediction Error = -2.953 Percent = 3.8067 Prediction Error = -2.953 Percent = 3.8067 Prediction Error = -3 Percent = 3.5556 Prediction Error = -3 Percent = 3.5556 Prediction Error = -3.047 Percent = 3.3127 Prediction Error = -3.047 Percent = 3.3127 Prediction Error = -3.094 Percent = 3.0787 Prediction Error = -3.094 Percent = 3.0787 Prediction Error = -3.141 Percent = 2.8539 Prediction Error = -3.141 Percent = 2.8539 Prediction Error = -3.187 Percent = 2.6387 Prediction Error = -3.187 Percent = 2.6387 Prediction Error = -3.234 Percent = 2.4333 Prediction Error = -3.234 Percent = 2.4333 Prediction Error = -3.281 Percent = 2.2379 Prediction Error = -3.281 Percent = 2.2379 Prediction Error = -3.328 Percent = 2.0525 Prediction Error = -3.328 Percent = 2.0525 Prediction Error = -3.375 Percent = 1.8771 Prediction Error = -3.375 Percent = 1.8771 Prediction Error = -3.422 Percent = 1.7118 Prediction Error = -3.422 Percent = 1.7118 Prediction Error = -3.469 Percent = 1.5564 Prediction Error = -3.469 Percent = 1.5564 Prediction Error = -3.516 Percent = 1.4107 Prediction Error = -3.516 Percent = 1.4107 Prediction Error = -3.562 Percent = 1.2746 Prediction Error = -3.562 Percent = 1.2746 Prediction Error = -3.609 Percent = 1.148 Prediction Error = -3.609 Percent = 1.148 Prediction Error = -3.656 Percent = 1.0304 Prediction Error = -3.656 Percent = 1.0304 Prediction Error = -3.703 Percent = 0.9217 Prediction Error = -3.703 Percent = 0.9217 Prediction Error = -3.75 Percent = 0.8216 Prediction Error = -3.75 Percent = 0.8216 Prediction Error = -3.797 Percent = 0.7296 Prediction Error = -3.797 Percent = 0.7296 Prediction Error = -3.844 Percent = 0.6456 Prediction Error = -3.844 Percent = 0.6456 Prediction Error = -3.891 Percent = 0.569 Prediction Error = -3.891 Percent = 0.569 Prediction Error = -3.937 Percent = 0.4996 Prediction Error = -3.937 Percent = 0.4996 Prediction Error = -3.984 Percent = 0.4368 Prediction Error = -3.984 Percent = 0.4368 Prediction Error = -4.031 Percent = 0.3804 Prediction Error = -4.031 Percent = 0.3804 Prediction Error = -4.078 Percent = 0.3299 Prediction Error = -4.078 Percent = 0.3299 Prediction Error = -4.125 Percent = 0.2849 Prediction Error = -4.125 Percent = 0.2849 Prediction Error = -4.172 Percent = 0.2449 Prediction Error = -4.172 Percent = 0.2449 Prediction Error = -4.219 Percent = 0.2096 Prediction Error = -4.219 Percent = 0.2096 Prediction Error = -4.266 Percent = 0.1786 Prediction Error = -4.266 Percent = 0.1786 Prediction Error = -4.312 Percent = 0.1515 Prediction Error = -4.312 Percent = 0.1515 Prediction Error = -4.359 Percent = 0.1279 Prediction Error = -4.359 Percent = 0.1279 Prediction Error = -4.406 Percent = 0.1075 Prediction Error = -4.406 Percent = 0.1075 Prediction Error = -4.453 Percent = 0.0899 Prediction Error = -4.453 Percent = 0.0899 Prediction Error = -4.5 Percent = 0.0749 Prediction Error = -4.5 Percent = 0.0749 Prediction Error = -4.547 Percent = 0.062 Prediction Error = -4.547 Percent = 0.062 Prediction Error = -4.594 Percent = 0.0511 Prediction Error = 4.2663 Percent = 0.1852 Prediction Error = 4.2228 Percent = 0.2027 Prediction Error = 4.2228 Percent = 0.2027 Prediction Error = 4.1793 Percent = 0.2217 Prediction Error = 4.1793 Percent = 0.2217 Prediction Error = 4.1358 Percent = 0.2423 Prediction Error = 4.1358 Percent = 0.2423 Prediction Error = 4.0923 Percent = 0.2645 Prediction Error = 4.0923 Percent = 0.2645 Prediction Error = 4.0488 Percent = 0.2885 Prediction Error = 4.0488 Percent = 0.2885 Prediction Error = 4.0053 Percent = 0.3143 Prediction Error = 4.0053 Percent = 0.3143 Prediction Error = 3.9618 Percent = 0.3422 Prediction Error = 3.9618 Percent = 0.3422 Prediction Error = 3.9183 Percent = 0.3722 Prediction Error = 3.9183 Percent = 0.3722 Prediction Error = 3.8748 Percent = 0.4044 Prediction Error = 3.8748 Percent = 0.4044 Prediction Error = 3.8313 Percent = 0.4391 Prediction Error = 3.8313 Percent = 0.4391 Prediction Error = 3.7878 Percent = 0.4763 Prediction Error = 3.7878 Percent = 0.4763 Prediction Error = 3.7443 Percent = 0.5161 Prediction Error = 3.7443 Percent = 0.5161 Prediction Error = 3.7008 Percent = 0.5588 Prediction Error = 3.7008 Percent = 0.5588 Prediction Error = 3.6573 Percent = 0.6044 Prediction Error = 3.6573 Percent = 0.6044 Prediction Error = 3.6137 Percent = 0.6532 Prediction Error = 3.6137 Percent = 0.6532 Prediction Error = 3.5702 Percent = 0.7052 Prediction Error = 3.5702 Percent = 0.7052 Prediction Error = 3.5267 Percent = 0.7607 Prediction Error = 3.5267 Percent = 0.7607 Prediction Error = 3.4832 Percent = 0.8198 Prediction Error = 3.4832 Percent = 0.8198 Prediction Error = 3.4397 Percent = 0.8827 Prediction Error = 3.4397 Percent = 0.8827 Prediction Error = 3.3962 Percent = 0.9496 Prediction Error = 3.3962 Percent = 0.9496 Prediction Error = 3.3527 Percent = 1.0206 Prediction Error = 3.3527 Percent = 1.0206 Prediction Error = 3.3092 Percent = 1.0959 Prediction Error = 3.3092 Percent = 1.0959 Prediction Error = 3.2657 Percent = 1.1756 Prediction Error = 3.2657 Percent = 1.1756 Prediction Error = 3.2222 Percent = 1.26 Prediction Error = 3.2222 Percent = 1.26 Prediction Error = 3.1787 Percent = 1.3492 Prediction Error = 3.1787 Percent = 1.3492 Prediction Error = 3.1352 Percent = 1.4434 Prediction Error = 3.1352 Percent = 1.4434 Prediction Error = 3.0917 Percent = 1.5428 Prediction Error = 3.0917 Percent = 1.5428 Prediction Error = 3.0482 Percent = 1.6475 Prediction Error = 3.0482 Percent = 1.6475 Prediction Error = 3.0047 Percent = 1.7577 Prediction Error = 3.0047 Percent = 1.7577 Prediction Error = 2.9612 Percent = 1.8735 Prediction Error = 2.9612 Percent = 1.8735 Prediction Error = 2.9177 Percent = 1.9951 Prediction Error = 2.9177 Percent = 1.9951 Prediction Error = 2.8742 Percent = 2.1227 Prediction Error = 2.8742 Percent = 2.1227 Prediction Error = 2.8306 Percent = 2.2564 Prediction Error = 2.8306 Percent = 2.2564 Prediction Error = 2.7871 Percent = 2.3963 Prediction Error = 2.7871 Percent = 2.3963 Prediction Error = 2.7436 Percent = 2.5425 Prediction Error = 2.7436 Percent = 2.5425 Prediction Error = 2.7001 Percent = 2.6951 Prediction Error = 2.7001 Percent = 2.6951 Prediction Error = 2.6566 Percent = 2.8543 Prediction Error = 2.6566 Percent = 2.8543 Prediction Error = 2.6131 Percent = 3.0202 Prediction Error = 2.6131 Percent = 3.0202 Prediction Error = 2.5696 Percent = 3.1927 Prediction Error = 2.5696 Percent = 3.1927 Prediction Error = 2.5261 Percent = 3.372 Prediction Error = 2.5261 Percent = 3.372 Prediction Error = 2.4826 Percent = 3.5581 Prediction Error = 2.4826 Percent = 3.5581 Prediction Error = 2.4391 Percent = 3.751 Prediction Error = 2.4391 Percent = 3.751 Prediction Error = 2.3956 Percent = 3.9508 Prediction Error = 2.3956 Percent = 3.9508 Prediction Error = 2.3521 Percent = 4.1573 Prediction Error = 2.3521 Percent = 4.1573 Prediction Error = 2.3086 Percent = 4.3707 Prediction Error = 2.3086 Percent = 4.3707 Prediction Error = 2.2216 Percent = 4.8175 Prediction Error = 2.2216 Percent = 4.8175 Prediction Error = 2.1346 Percent = 5.2905 Prediction Error = 2.1346 Percent = 5.2905 Prediction Error = 2.0475 Percent = 5.7887 Prediction Error = 2.0475 Percent = 5.7887 Prediction Error = 1.9605 Percent = 6.3106 Prediction Error = 1.9605 Percent = 6.3106 Prediction Error = 1.8735 Percent = 6.8543 Prediction Error = 1.8735 Percent = 6.8543 Prediction Error = 1.2209 Percent = 11.332 Prediction Error = 1.2209 Percent = 11.332 Prediction Error = 1.0904 Percent = 12.224 Prediction Error = 1.0904 Percent = 12.224 Prediction Error = 1.0034 Percent = 12.798 Prediction Error = 1.0034 Percent = 12.798 Prediction Error = 0.9164 Percent = 13.35 Prediction Error = 0.9164 Percent = 13.35 Prediction Error = 0.8294 Percent = 13.875 Prediction Error = 0.8294 Percent = 13.875 Prediction Error = 0.7859 Percent = 14.126 Prediction Error = 0.7859 Percent = 14.126 Prediction Error = 0.7424 Percent = 14.368 Prediction Error = 0.7424 Percent = 14.368 Prediction Error = 0.6989 Percent = 14.601 Prediction Error = 0.6989 Percent = 14.601 Prediction Error = 0.6554 Percent = 14.824 Prediction Error = 0.6554 Percent = 14.824 Prediction Error = 0.6118 Percent = 15.036 Prediction Error = 0.6118 Percent = 15.036 Prediction Error = 0.5683 Percent = 15.238 Prediction Error = 0.5683 Percent = 15.238 Prediction Error = 0.5248 Percent = 15.428 Prediction Error = 0.5248 Percent = 15.428 Prediction Error = 0.4813 Percent = 15.606 Prediction Error = 0.4813 Percent = 15.606 Prediction Error = 0.4378 Percent = 15.771 Prediction Error = 0.4378 Percent = 15.771 Prediction Error = 0.3943 Percent = 15.924 Prediction Error = 0.3943 Percent = 15.924 Prediction Error = 0.3508 Percent = 16.064 Prediction Error = 0.3508 Percent = 16.064 Prediction Error = 0.3073 Percent = 16.19 Prediction Error = 0.3073 Percent = 16.19 Prediction Error = 0.2638 Percent = 16.302 Prediction Error = 0.2638 Percent = 16.302 Prediction Error = 0.2203 Percent = 16.399 Prediction Error = 0.2203 Percent = 16.399 Prediction Error = 0.1768 Percent = 16.482 Prediction Error = 0.1768 Percent = 16.482 Prediction Error = 0.1333 Percent = 16.55 Prediction Error = 0.1333 Percent = 16.55 Prediction Error = 0.0898 Percent = 16.604 Prediction Error = 0.0898 Percent = 16.604 Prediction Error = 0.0463 Percent = 16.642 Prediction Error = 0.0463 Percent = 16.642 Prediction Error = 0.0028 Percent = 16.665 Prediction Error = 0.0028 Percent = 16.665 Prediction Error = -0.041 Percent = 16.672 Prediction Error = -0.041 Percent = 16.672 Prediction Error = -0.084 Percent = 16.665 Prediction Error = -0.084 Percent = 16.665 Prediction Error = -0.128 Percent = 16.642 Prediction Error = -0.128 Percent = 16.642 Prediction Error = -0.171 Percent = 16.604 Prediction Error = -0.171 Percent = 16.604 Prediction Error = -0.215 Percent = 16.55 Prediction Error = -0.215 Percent = 16.55 Prediction Error = -0.258 Percent = 16.482 Prediction Error = -0.258 Percent = 16.482 Prediction Error = -0.302 Percent = 16.399 Prediction Error = -0.302 Percent = 16.399 Prediction Error = -0.345 Percent = 16.302 Prediction Error = -0.345 Percent = 16.302 Prediction Error = -0.389 Percent = 16.19 Prediction Error = -0.389 Percent = 16.19 Prediction Error = -0.432 Percent = 16.064 Prediction Error = -0.432 Percent = 16.064 Prediction Error = -0.476 Percent = 15.924 Prediction Error = -0.476 Percent = 15.924 Prediction Error = -0.519 Percent = 15.771 Prediction Error = -0.519 Percent = 15.771 Prediction Error = -0.563 Percent = 15.606 Prediction Error = -0.563 Percent = 15.606 Prediction Error = -0.606 Percent = 15.428 Prediction Error = -0.606 Percent = 15.428 Prediction Error = -0.65 Percent = 15.238 Prediction Error = -0.65 Percent = 15.238 Prediction Error = -0.693 Percent = 15.036 Prediction Error = -0.693 Percent = 15.036 Prediction Error = -0.737 Percent = 14.824 Prediction Error = -0.737 Percent = 14.824 Prediction Error = -0.78 Percent = 14.601 Prediction Error = -0.78 Percent = 14.601 Prediction Error = -0.824 Percent = 14.368 Prediction Error = -0.824 Percent = 14.368 Prediction Error = -0.867 Percent = 14.126 Prediction Error = -0.867 Percent = 14.126 Prediction Error = -0.911 Percent = 13.875 Prediction Error = -0.911 Percent = 13.875 Prediction Error = -0.998 Percent = 13.35 Prediction Error = -0.998 Percent = 13.35 Prediction Error = -1.085 Percent = 12.798 Prediction Error = -1.085 Percent = 12.798 Prediction Error = -1.607 Percent = 9.1955 Prediction Error = -1.607 Percent = 9.1955 Prediction Error = -1.781 Percent = 7.9976 Prediction Error = -1.781 Percent = 7.9976 Prediction Error = -1.911 Percent = 7.1336 Prediction Error = -1.911 Percent = 7.1336 Prediction Error = -1.998 Percent = 6.5798 Prediction Error = -1.998 Percent = 6.5798 Prediction Error = -2.086 Percent = 6.0468 Prediction Error = -2.086 Percent = 6.0468 Prediction Error = -2.173 Percent = 5.5366 Prediction Error = -2.173 Percent = 5.5366 Prediction Error = -2.26 Percent = 5.0508 Prediction Error = -2.26 Percent = 5.0508 Prediction Error = -2.347 Percent = 4.5908 Prediction Error = -2.347 Percent = 4.5908 Prediction Error = -2.39 Percent = 4.3707 Prediction Error = -2.39 Percent = 4.3707 Prediction Error = -2.434 Percent = 4.1573 Prediction Error = -2.434 Percent = 4.1573 Prediction Error = -2.477 Percent = 3.9508 Prediction Error = -2.477 Percent = 3.9508 Prediction Error = -2.521 Percent = 3.751 Prediction Error = -2.521 Percent = 3.751 Prediction Error = -2.564 Percent = 3.5581 Prediction Error = -2.564 Percent = 3.5581 Prediction Error = -2.608 Percent = 3.372 Prediction Error = -2.608 Percent = 3.372 Prediction Error = -2.651 Percent = 3.1927 Prediction Error = -2.651 Percent = 3.1927 Prediction Error = -2.695 Percent = 3.0202 Prediction Error = -2.695 Percent = 3.0202 Prediction Error = -2.738 Percent = 2.8543 Prediction Error = -2.738 Percent = 2.8543 Prediction Error = -2.782 Percent = 2.6951 Prediction Error = -2.782 Percent = 2.6951 Prediction Error = -2.825 Percent = 2.5425 Prediction Error = -2.825 Percent = 2.5425 Prediction Error = -2.869 Percent = 2.3963 Prediction Error = -2.869 Percent = 2.3963 Prediction Error = -2.912 Percent = 2.2564 Prediction Error = -2.912 Percent = 2.2564 Prediction Error = -2.956 Percent = 2.1227 Prediction Error = -2.956 Percent = 2.1227 Prediction Error = -2.999 Percent = 1.9951 Prediction Error = -2.999 Percent = 1.9951 Prediction Error = -3.043 Percent = 1.8735 Prediction Error = -3.043 Percent = 1.8735 Prediction Error = -3.086 Percent = 1.7577 Prediction Error = -3.086 Percent = 1.7577 Prediction Error = -3.13 Percent = 1.6475 Prediction Error = -3.13 Percent = 1.6475 Prediction Error = -3.173 Percent = 1.5428 Prediction Error = -3.173 Percent = 1.5428 Prediction Error = -3.217 Percent = 1.4434 Prediction Error = -3.217 Percent = 1.4434 Prediction Error = -3.26 Percent = 1.3492 Prediction Error = -3.26 Percent = 1.3492 Prediction Error = -3.304 Percent = 1.26 Prediction Error = -3.304 Percent = 1.26 Prediction Error = -3.347 Percent = 1.1756 Prediction Error = -3.347 Percent = 1.1756 Prediction Error = -3.391 Percent = 1.0959 Prediction Error = -3.391 Percent = 1.0959 Prediction Error = -3.434 Percent = 1.0206 Prediction Error = -3.434 Percent = 1.0206 Prediction Error = -3.478 Percent = 0.9496 Prediction Error = -3.478 Percent = 0.9496 Prediction Error = -3.521 Percent = 0.8827 Prediction Error = -3.521 Percent = 0.8827 Prediction Error = -3.565 Percent = 0.8198 Prediction Error = -3.565 Percent = 0.8198 Prediction Error = -3.608 Percent = 0.7607 Prediction Error = -3.608 Percent = 0.7607 Prediction Error = -3.652 Percent = 0.7052 Prediction Error = -3.652 Percent = 0.7052 Prediction Error = -3.695 Percent = 0.6532 Prediction Error = -3.695 Percent = 0.6532 Prediction Error = -3.739 Percent = 0.6044 Prediction Error = -3.739 Percent = 0.6044 Prediction Error = -3.782 Percent = 0.5588 Prediction Error = -3.782 Percent = 0.5588 Prediction Error = -3.826 Percent = 0.5161 Prediction Error = -3.826 Percent = 0.5161 Prediction Error = -3.869 Percent = 0.4763 Prediction Error = -3.869 Percent = 0.4763 Prediction Error = -3.913 Percent = 0.4391 Prediction Error = -3.913 Percent = 0.4391 Prediction Error = -3.956 Percent = 0.4044 Prediction Error = -3.956 Percent = 0.4044 Prediction Error = -4 Percent = 0.3722 Prediction Error = -4 Percent = 0.3722 Prediction Error = -4.043 Percent = 0.3422 Prediction Error = -4.043 Percent = 0.3422 Prediction Error = -4.087 Percent = 0.3143 Prediction Error = -4.087 Percent = 0.3143 Prediction Error = -4.13 Percent = 0.2885 Prediction Error = -4.13 Percent = 0.2885 Prediction Error = -4.174 Percent = 0.2645 Prediction Error = -4.174 Percent = 0.2645 Prediction Error = -4.217 Percent = 0.2423 Prediction Error = -4.217 Percent = 0.2423 Prediction Error = -4.261 Percent = 0.2217 Prediction Error = -4.261 Percent = 0.2217 Prediction Error = -4.304 Percent = 0.2027 Prediction Error = -4.304 Percent = 0.2027 Prediction Error = -4.348 Percent = 0.1852 Prediction Error = 2.7 Percent = 1.7857 Prediction Error = 2.7 Percent = 1.7857 Prediction Error = 2.1 Percent = 4.9107 Prediction Error = 2.1 Percent = 4.9107 Prediction Error = 1.5 Percent = 12.054 Prediction Error = 1.5 Percent = 12.054 Prediction Error = 0.9 Percent = 23.214 Prediction Error = 0.9 Percent = 23.214 Prediction Error = 0.3 Percent = 15.625 Prediction Error = 0.3 Percent = 15.625 Prediction Error = -0.3 Percent = 8.4821 Prediction Error = -0.3 Percent = 8.4821 Prediction Error = -0.9 Percent = 6.25 Prediction Error = -0.9 Percent = 6.25 Prediction Error = -1.5 Percent = 10.268 Prediction Error = -1.5 Percent = 10.268 Prediction Error = -2.1 Percent = 12.946 Prediction Error = -2.1 Percent = 12.946 Prediction Error = -2.7 Percent = 4.4643 Prediction Error = -2.7 Percent = 4.4643 Quantile = 2.7718 Residual = 3 Quantile = 2.4448 Residual = 2.9992 Quantile = 2.2667 Residual = 2.999 Quantile = 2.1403 Residual = 2.7525 Quantile = 2.041 Residual = 2.3299 Quantile = 1.9585 Residual = 2.1661 Quantile = 1.8876 Residual = 2.1517 Quantile = 1.825 Residual = 2.0173 Quantile = 1.7688 Residual = 2.009 Quantile = 1.7178 Residual = 2.006 Quantile = 1.6708 Residual = 1.9937 Quantile = 1.6273 Residual = 1.9221 Quantile = 1.5866 Residual = 1.9074 Quantile = 1.5484 Residual = 1.8801 Quantile = 1.5124 Residual = 1.8678 Quantile = 1.4782 Residual = 1.7787 Quantile = 1.4457 Residual = 1.7627 Quantile = 1.4146 Residual = 1.7379 Quantile = 1.3848 Residual = 1.7329 Quantile = 1.3562 Residual = 1.7157 Quantile = 1.3287 Residual = 1.6104 Quantile = 1.3022 Residual = 1.6009 Quantile = 1.2765 Residual = 1.53 Quantile = 1.2516 Residual = 1.4991 Quantile = 1.2275 Residual = 1.498 Quantile = 1.2041 Residual = 1.494 Quantile = 1.1814 Residual = 1.4878 Quantile = 1.1592 Residual = 1.4834 Quantile = 1.1376 Residual = 1.4642 Quantile = 1.1165 Residual = 1.4402 Quantile = 1.0959 Residual = 1.3926 Quantile = 1.0757 Residual = 1.3613 Quantile = 1.056 Residual = 1.3422 Quantile = 1.0367 Residual = 1.3205 Quantile = 1.0177 Residual = 1.2916 Quantile = 0.9991 Residual = 1.2831 Quantile = 0.9809 Residual = 1.252 Quantile = 0.963 Residual = 1.2481 Quantile = 0.9453 Residual = 1.2346 Quantile = 0.928 Residual = 1.2215 Quantile = 0.911 Residual = 1.2185 Quantile = 0.8942 Residual = 1.2179 Quantile = 0.8776 Residual = 1.1883 Quantile = 0.8613 Residual = 1.1877 Quantile = 0.8452 Residual = 1.1847 Quantile = 0.8293 Residual = 1.1762 Quantile = 0.8137 Residual = 1.1759 Quantile = 0.7982 Residual = 1.1655 Quantile = 0.7829 Residual = 1.1623 Quantile = 0.7678 Residual = 1.1603 Quantile = 0.7529 Residual = 1.1329 Quantile = 0.7381 Residual = 1.1192 Quantile = 0.7235 Residual = 1.1185 Quantile = 0.7091 Residual = 1.097 Quantile = 0.6948 Residual = 1.0877 Quantile = 0.6806 Residual = 1.0672 Quantile = 0.6666 Residual = 1.0581 Quantile = 0.6527 Residual = 1.0515 Quantile = 0.639 Residual = 1.0282 Quantile = 0.6253 Residual = 1.0108 Quantile = 0.6118 Residual = 1.0072 Quantile = 0.5983 Residual = 1.0014 Quantile = 0.585 Residual = 1.0013 Quantile = 0.5718 Residual = 0.9989 Quantile = 0.5587 Residual = 0.998 Quantile = 0.5457 Residual = 0.9978 Quantile = 0.5328 Residual = 0.9966 Quantile = 0.5199 Residual = 0.9964 Quantile = 0.5072 Residual = 0.9903 Quantile = 0.4945 Residual = 0.9808 Quantile = 0.4819 Residual = 0.9737 Quantile = 0.4694 Residual = 0.9366 Quantile = 0.4569 Residual = 0.9285 Quantile = 0.4446 Residual = 0.9071 Quantile = 0.4323 Residual = 0.9009 Quantile = 0.42 Residual = 0.8783 Quantile = 0.4078 Residual = 0.8699 Quantile = 0.3957 Residual = 0.8697 Quantile = 0.3837 Residual = 0.8168 Quantile = 0.3717 Residual = 0.7954 Quantile = 0.3597 Residual = 0.7624 Quantile = 0.3478 Residual = 0.7611 Quantile = 0.336 Residual = 0.7561 Quantile = 0.3242 Residual = 0.7447 Quantile = 0.3124 Residual = 0.7414 Quantile = 0.3007 Residual = 0.7166 Quantile = 0.289 Residual = 0.7039 Quantile = 0.2774 Residual = 0.664 Quantile = 0.2658 Residual = 0.6613 Quantile = 0.2542 Residual = 0.6604 Quantile = 0.2427 Residual = 0.6219 Quantile = 0.2312 Residual = 0.6127 Quantile = 0.2197 Residual = 0.6015 Quantile = 0.2083 Residual = 0.6003 Quantile = 0.1969 Residual = 0.5846 Quantile = 0.1855 Residual = 0.5831 Quantile = 0.1741 Residual = 0.5672 Quantile = 0.1628 Residual = 0.5132 Quantile = 0.1515 Residual = 0.5045 Quantile = 0.1402 Residual = 0.4989 Quantile = 0.1289 Residual = 0.4977 Quantile = 0.1176 Residual = 0.496 Quantile = 0.1064 Residual = 0.4781 Quantile = 0.0952 Residual = 0.4714 Quantile = 0.0839 Residual = 0.441 Quantile = 0.0727 Residual = 0.436 Quantile = 0.0615 Residual = 0.3956 Quantile = 0.0503 Residual = 0.3722 Quantile = 0.0391 Residual = 0.3306 Quantile = 0.0279 Residual = 0.2411 Quantile = 0.0168 Residual = 0.1934 Quantile = 0.0056 Residual = 0.1921 Quantile = -0.006 Residual = 0.1779 Quantile = -0.017 Residual = 0.1697 Quantile = -0.028 Residual = 0.1668 Quantile = -0.039 Residual = 0.1613 Quantile = -0.05 Residual = 0.1407 Quantile = -0.062 Residual = 0.0128 Quantile = -0.073 Residual = 0.0045 Quantile = -0.084 Residual = 0.0031 Quantile = -0.095 Residual = 0.0027 Quantile = -0.106 Residual = 0.0023 Quantile = -0.118 Residual = 0.002 Quantile = -0.129 Residual = 0.0015 Quantile = -0.14 Residual = .00068 Quantile = -0.151 Residual = 3.3E-6 Quantile = -0.163 Residual = 1.4E-6 Quantile = -0.174 Residual = 1.6E-9 Quantile = -0.185 Residual = -4E-16 Quantile = -0.197 Residual = -0.001 Quantile = -0.208 Residual = -0.001 Quantile = -0.22 Residual = -0.002 Quantile = -0.231 Residual = -0.003 Quantile = -0.243 Residual = -0.005 Quantile = -0.254 Residual = -0.011 Quantile = -0.266 Residual = -0.018 Quantile = -0.277 Residual = -0.022 Quantile = -0.289 Residual = -0.095 Quantile = -0.301 Residual = -0.116 Quantile = -0.312 Residual = -0.234 Quantile = -0.324 Residual = -0.329 Quantile = -0.336 Residual = -0.34 Quantile = -0.348 Residual = -0.357 Quantile = -0.36 Residual = -0.498 Quantile = -0.372 Residual = -0.56 Quantile = -0.384 Residual = -0.565 Quantile = -0.396 Residual = -0.565 Quantile = -0.408 Residual = -0.572 Quantile = -0.42 Residual = -0.657 Quantile = -0.432 Residual = -0.718 Quantile = -0.445 Residual = -0.724 Quantile = -0.457 Residual = -0.785 Quantile = -0.469 Residual = -0.797 Quantile = -0.482 Residual = -0.84 Quantile = -0.494 Residual = -0.902 Quantile = -0.507 Residual = -0.935 Quantile = -0.52 Residual = -0.979 Quantile = -0.533 Residual = -0.983 Quantile = -0.546 Residual = -1.022 Quantile = -0.559 Residual = -1.149 Quantile = -0.572 Residual = -1.19 Quantile = -0.585 Residual = -1.193 Quantile = -0.598 Residual = -1.201 Quantile = -0.612 Residual = -1.213 Quantile = -0.625 Residual = -1.22 Quantile = -0.639 Residual = -1.222 Quantile = -0.653 Residual = -1.24 Quantile = -0.667 Residual = -1.31 Quantile = -0.681 Residual = -1.319 Quantile = -0.695 Residual = -1.381 Quantile = -0.709 Residual = -1.383 Quantile = -0.724 Residual = -1.4 Quantile = -0.738 Residual = -1.495 Quantile = -0.753 Residual = -1.499 Quantile = -0.768 Residual = -1.503 Quantile = -0.783 Residual = -1.508 Quantile = -0.798 Residual = -1.513 Quantile = -0.814 Residual = -1.603 Quantile = -0.829 Residual = -1.633 Quantile = -0.845 Residual = -1.656 Quantile = -0.861 Residual = -1.665 Quantile = -0.878 Residual = -1.724 Quantile = -0.894 Residual = -1.728 Quantile = -0.911 Residual = -1.771 Quantile = -0.928 Residual = -1.795 Quantile = -0.945 Residual = -1.804 Quantile = -0.963 Residual = -1.869 Quantile = -0.981 Residual = -1.881 Quantile = -0.999 Residual = -1.91 Quantile = -1.018 Residual = -1.91 Quantile = -1.037 Residual = -1.919 Quantile = -1.056 Residual = -1.925 Quantile = -1.076 Residual = -1.932 Quantile = -1.096 Residual = -1.956 Quantile = -1.116 Residual = -1.97 Quantile = -1.138 Residual = -1.986 Quantile = -1.159 Residual = -1.995 Quantile = -1.181 Residual = -2 Quantile = -1.204 Residual = -2.003 Quantile = -1.228 Residual = -2.047 Quantile = -1.252 Residual = -2.077 Quantile = -1.276 Residual = -2.081 Quantile = -1.302 Residual = -2.097 Quantile = -1.329 Residual = -2.164 Quantile = -1.356 Residual = -2.168 Quantile = -1.385 Residual = -2.176 Quantile = -1.415 Residual = -2.192 Quantile = -1.446 Residual = -2.21 Quantile = -1.478 Residual = -2.222 Quantile = -1.512 Residual = -2.279 Quantile = -1.548 Residual = -2.281 Quantile = -1.587 Residual = -2.286 Quantile = -1.627 Residual = -2.39 Quantile = -1.671 Residual = -2.393 Quantile = -1.718 Residual = -2.456 Quantile = -1.769 Residual = -2.505 Quantile = -1.825 Residual = -2.523 Quantile = -1.888 Residual = -2.869 Quantile = -1.959 Residual = -2.996 Quantile = -2.041 Residual = -2.997 Quantile = -2.14 Residual = -2.998 Quantile = -2.267 Residual = -2.999 Quantile = -2.445 Residual = -3 Quantile = -2.772 Residual = -3 Slope = 1.4357 Y = -0.041 Lag = 24 ACF = 0.0216 Lag = 23 ACF = -0.013 Lag = 22 ACF = -0.026 Lag = 21 ACF = -0.019 Lag = 20 ACF = 0.0853 Lag = 19 ACF = 0.0881 Lag = 18 ACF = -0.096 Lag = 17 ACF = 0.0187 Lag = 16 ACF = -0.067 Lag = 15 ACF = -0.137 Lag = 14 ACF = -0.095 Lag = 13 ACF = 0.0037 Lag = 12 ACF = 0.0387 Lag = 11 ACF = 0.0419 Lag = 10 ACF = 0.093 Lag = 9 ACF = -0.046 Lag = 8 ACF = -0.064 Lag = 7 ACF = -0.021 Lag = 6 ACF = -0.034 Lag = 5 ACF = -0.117 Lag = 4 ACF = -0.081 Lag = 3 ACF = -0.014 Lag = 2 ACF = -0.02 Lag = 1 ACF = -0.019 Lag = 0 ACF = 1 Lag = 24 Lower = -0.146 Upper = 0.1463 Lag = 23 Lower = -0.146 Upper = 0.1462 Lag = 23 Lower = -0.146 Upper = 0.1462 Lag = 22 Lower = -0.146 Upper = 0.1462 Lag = 22 Lower = -0.146 Upper = 0.1462 Lag = 21 Lower = -0.146 Upper = 0.1461 Lag = 21 Lower = -0.146 Upper = 0.1461 Lag = 20 Lower = -0.145 Upper = 0.1452 Lag = 20 Lower = -0.145 Upper = 0.1452 Lag = 19 Lower = -0.144 Upper = 0.1443 Lag = 19 Lower = -0.144 Upper = 0.1443 Lag = 18 Lower = -0.143 Upper = 0.1431 Lag = 18 Lower = -0.143 Upper = 0.1431 Lag = 17 Lower = -0.143 Upper = 0.1431 Lag = 17 Lower = -0.143 Upper = 0.1431 Lag = 16 Lower = -0.143 Upper = 0.1425 Lag = 16 Lower = -0.143 Upper = 0.1425 Lag = 15 Lower = -0.14 Upper = 0.1401 Lag = 15 Lower = -0.14 Upper = 0.1401 Lag = 14 Lower = -0.139 Upper = 0.139 Lag = 14 Lower = -0.139 Upper = 0.139 Lag = 13 Lower = -0.139 Upper = 0.139 Lag = 13 Lower = -0.139 Upper = 0.139 Lag = 12 Lower = -0.139 Upper = 0.1388 Lag = 12 Lower = -0.139 Upper = 0.1388 Lag = 11 Lower = -0.139 Upper = 0.1386 Lag = 11 Lower = -0.139 Upper = 0.1386 Lag = 10 Lower = -0.137 Upper = 0.1375 Lag = 10 Lower = -0.137 Upper = 0.1375 Lag = 9 Lower = -0.137 Upper = 0.1372 Lag = 9 Lower = -0.137 Upper = 0.1372 Lag = 8 Lower = -0.137 Upper = 0.1366 Lag = 8 Lower = -0.137 Upper = 0.1366 Lag = 7 Lower = -0.137 Upper = 0.1366 Lag = 7 Lower = -0.137 Upper = 0.1366 Lag = 6 Lower = -0.136 Upper = 0.1364 Lag = 6 Lower = -0.136 Upper = 0.1364 Lag = 5 Lower = -0.135 Upper = 0.1346 Lag = 5 Lower = -0.135 Upper = 0.1346 Lag = 4 Lower = -0.134 Upper = 0.1338 Lag = 4 Lower = -0.134 Upper = 0.1338 Lag = 3 Lower = -0.134 Upper = 0.1337 Lag = 3 Lower = -0.134 Upper = 0.1337 Lag = 2 Lower = -0.134 Upper = 0.1337 Lag = 2 Lower = -0.134 Upper = 0.1337 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = 0.0106 Lag = 23 PACF = -0.078 Lag = 22 PACF = -0.081 Lag = 21 PACF = -0.051 Lag = 20 PACF = 0.0392 Lag = 19 PACF = 0.0437 Lag = 18 PACF = -0.122 Lag = 17 PACF = 0.0014 Lag = 16 PACF = -0.081 Lag = 15 PACF = -0.134 Lag = 14 PACF = -0.102 Lag = 13 PACF = -0.019 Lag = 12 PACF = 0.0232 Lag = 11 PACF = 0.0275 Lag = 10 PACF = 0.063 Lag = 9 PACF = -0.077 Lag = 8 PACF = -0.081 Lag = 7 PACF = -0.032 Lag = 6 PACF = -0.045 Lag = 5 PACF = -0.122 Lag = 4 PACF = -0.082 Lag = 3 PACF = -0.014 Lag = 2 PACF = -0.02 Lag = 1 PACF = -0.019 Lag = 24 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Sep2019 Loess Fit = -0.073 Date_of_death = Jul2019 Loess Fit = -0.073 Date_of_death = Jul2019 Loess Fit = -0.073 Date_of_death = Jun2019 Loess Fit = -0.073 Date_of_death = Jun2019 Loess Fit = -0.073 Date_of_death = May2019 Loess Fit = -0.073 Date_of_death = May2019 Loess Fit = -0.073 Date_of_death = Apr2019 Loess Fit = -0.074 Date_of_death = Apr2019 Loess Fit = -0.074 Date_of_death = Mar2019 Loess Fit = -0.074 Date_of_death = Mar2019 Loess Fit = -0.074 Date_of_death = Feb2019 Loess Fit = -0.074 Date_of_death = Feb2019 Loess Fit = -0.074 Date_of_death = Jan2019 Loess Fit = -0.074 Date_of_death = Jan2019 Loess Fit = -0.074 Date_of_death = Dec2018 Loess Fit = -0.074 Date_of_death = Dec2018 Loess Fit = -0.074 Date_of_death = Oct2018 Loess Fit = -0.074 Date_of_death = Oct2018 Loess Fit = -0.074 Date_of_death = Sep2018 Loess Fit = -0.074 Date_of_death = Sep2018 Loess Fit = -0.074 Date_of_death = Aug2018 Loess Fit = -0.074 Date_of_death = Aug2018 Loess Fit = -0.074 Date_of_death = Jul2018 Loess Fit = -0.074 Date_of_death = Jul2018 Loess Fit = -0.074 Date_of_death = Jun2018 Loess Fit = -0.074 Date_of_death = Jun2018 Loess Fit = -0.074 Date_of_death = May2018 Loess Fit = -0.074 Date_of_death = May2018 Loess Fit = -0.074 Date_of_death = Apr2018 Loess Fit = -0.074 Date_of_death = Apr2018 Loess Fit = -0.074 Date_of_death = Mar2018 Loess Fit = -0.074 Date_of_death = Mar2018 Loess Fit = -0.074 Date_of_death = Feb2018 Loess Fit = -0.074 Date_of_death = Feb2018 Loess Fit = -0.074 Date_of_death = Dec2017 Loess Fit = -0.074 Date_of_death = Dec2017 Loess Fit = -0.074 Date_of_death = Nov2017 Loess Fit = -0.074 Date_of_death = Nov2017 Loess Fit = -0.074 Date_of_death = Oct2017 Loess Fit = -0.074 Date_of_death = Oct2017 Loess Fit = -0.074 Date_of_death = Sep2017 Loess Fit = -0.074 Date_of_death = Sep2017 Loess Fit = -0.074 Date_of_death = Aug2017 Loess Fit = -0.074 Date_of_death = Aug2017 Loess Fit = -0.074 Date_of_death = Jul2017 Loess Fit = -0.074 Date_of_death = Jul2017 Loess Fit = -0.074 Date_of_death = Jun2017 Loess Fit = -0.074 Date_of_death = Jun2017 Loess Fit = -0.074 Date_of_death = May2017 Loess Fit = -0.074 Date_of_death = May2017 Loess Fit = -0.074 Date_of_death = Apr2017 Loess Fit = -0.074 Date_of_death = Apr2017 Loess Fit = -0.074 Date_of_death = Feb2017 Loess Fit = -0.074 Date_of_death = Feb2017 Loess Fit = -0.074 Date_of_death = Jan2017 Loess Fit = -0.074 Date_of_death = Jan2017 Loess Fit = -0.074 Date_of_death = Dec2016 Loess Fit = -0.074 Date_of_death = Dec2016 Loess Fit = -0.074 Date_of_death = Nov2016 Loess Fit = -0.074 Date_of_death = Nov2016 Loess Fit = -0.074 Date_of_death = Oct2016 Loess Fit = -0.074 Date_of_death = Oct2016 Loess Fit = -0.074 Date_of_death = Sep2016 Loess Fit = -0.073 Date_of_death = Sep2016 Loess Fit = -0.073 Date_of_death = Aug2016 Loess Fit = -0.073 Date_of_death = Aug2016 Loess Fit = -0.073 Date_of_death = Jul2016 Loess Fit = -0.073 Date_of_death = Jul2016 Loess Fit = -0.073 Date_of_death = May2016 Loess Fit = -0.073 Date_of_death = May2016 Loess Fit = -0.073 Date_of_death = Apr2016 Loess Fit = -0.073 Date_of_death = Apr2016 Loess Fit = -0.073 Date_of_death = Mar2016 Loess Fit = -0.073 Date_of_death = Mar2016 Loess Fit = -0.073 Date_of_death = Feb2016 Loess Fit = -0.073 Date_of_death = Feb2016 Loess Fit = -0.073 Date_of_death = Jan2016 Loess Fit = -0.072 Date_of_death = Jan2016 Loess Fit = -0.072 Date_of_death = Dec2015 Loess Fit = -0.072 Date_of_death = Dec2015 Loess Fit = -0.072 Date_of_death = Nov2015 Loess Fit = -0.072 Date_of_death = Nov2015 Loess Fit = -0.072 Date_of_death = Oct2015 Loess Fit = -0.072 Date_of_death = Oct2015 Loess Fit = -0.072 Date_of_death = Sep2015 Loess Fit = -0.072 Date_of_death = Sep2015 Loess Fit = -0.072 Date_of_death = Jul2015 Loess Fit = -0.072 Date_of_death = Jul2015 Loess Fit = -0.072 Date_of_death = Jun2015 Loess Fit = -0.071 Date_of_death = Jun2015 Loess Fit = -0.071 Date_of_death = May2015 Loess Fit = -0.071 Date_of_death = May2015 Loess Fit = -0.071 Date_of_death = Apr2015 Loess Fit = -0.071 Date_of_death = Apr2015 Loess Fit = -0.071 Date_of_death = Mar2015 Loess Fit = -0.071 Date_of_death = Mar2015 Loess Fit = -0.071 Date_of_death = Feb2015 Loess Fit = -0.071 Date_of_death = Feb2015 Loess Fit = -0.071 Date_of_death = Jan2015 Loess Fit = -0.071 Date_of_death = Jan2015 Loess Fit = -0.071 Date_of_death = Dec2014 Loess Fit = -0.07 Date_of_death = Dec2014 Loess Fit = -0.07 Date_of_death = Nov2014 Loess Fit = -0.07 Date_of_death = Nov2014 Loess Fit = -0.07 Date_of_death = Sep2014 Loess Fit = -0.07 Date_of_death = Sep2014 Loess Fit = -0.07 Date_of_death = Aug2014 Loess Fit = -0.069 Date_of_death = Aug2014 Loess Fit = -0.069 Date_of_death = Jul2014 Loess Fit = -0.069 Date_of_death = Jul2014 Loess Fit = -0.069 Date_of_death = Jun2014 Loess Fit = -0.069 Date_of_death = Jun2014 Loess Fit = -0.069 Date_of_death = May2014 Loess Fit = -0.068 Date_of_death = May2014 Loess Fit = -0.068 Date_of_death = Apr2014 Loess Fit = -0.068 Date_of_death = Apr2014 Loess Fit = -0.068 Date_of_death = Mar2014 Loess Fit = -0.068 Date_of_death = Mar2014 Loess Fit = -0.068 Date_of_death = Feb2014 Loess Fit = -0.067 Date_of_death = Feb2014 Loess Fit = -0.067 Date_of_death = Dec2013 Loess Fit = -0.067 Date_of_death = Dec2013 Loess Fit = -0.067 Date_of_death = Nov2013 Loess Fit = -0.067 Date_of_death = Nov2013 Loess Fit = -0.067 Date_of_death = Oct2013 Loess Fit = -0.066 Date_of_death = Oct2013 Loess Fit = -0.066 Date_of_death = Sep2013 Loess Fit = -0.066 Date_of_death = Sep2013 Loess Fit = -0.066 Date_of_death = Aug2013 Loess Fit = -0.066 Date_of_death = Aug2013 Loess Fit = -0.066 Date_of_death = Jul2013 Loess Fit = -0.065 Date_of_death = Jul2013 Loess Fit = -0.065 Date_of_death = Jun2013 Loess Fit = -0.065 Date_of_death = Jun2013 Loess Fit = -0.065 Date_of_death = May2013 Loess Fit = -0.065 Date_of_death = May2013 Loess Fit = -0.065 Date_of_death = Apr2013 Loess Fit = -0.064 Date_of_death = Apr2013 Loess Fit = -0.064 Date_of_death = Feb2013 Loess Fit = -0.064 Date_of_death = Feb2013 Loess Fit = -0.064 Date_of_death = Jan2013 Loess Fit = -0.064 Date_of_death = Jan2013 Loess Fit = -0.064 Date_of_death = Dec2012 Loess Fit = -0.063 Date_of_death = Dec2012 Loess Fit = -0.063 Date_of_death = Nov2012 Loess Fit = -0.063 Date_of_death = Nov2012 Loess Fit = -0.063 Date_of_death = Oct2012 Loess Fit = -0.063 Date_of_death = Oct2012 Loess Fit = -0.063 Date_of_death = Sep2012 Loess Fit = -0.062 Date_of_death = Sep2012 Loess Fit = -0.062 Date_of_death = Aug2012 Loess Fit = -0.062 Date_of_death = Aug2012 Loess Fit = -0.062 Date_of_death = Jul2012 Loess Fit = -0.062 Date_of_death = Jul2012 Loess Fit = -0.062 Date_of_death = Jun2012 Loess Fit = -0.063 Date_of_death = Jun2012 Loess Fit = -0.063 Date_of_death = Apr2012 Loess Fit = -0.063 Date_of_death = Apr2012 Loess Fit = -0.063 Date_of_death = Mar2012 Loess Fit = -0.063 Date_of_death = Mar2012 Loess Fit = -0.063 Date_of_death = Feb2012 Loess Fit = -0.063 Date_of_death = Feb2012 Loess Fit = -0.063 Date_of_death = Jan2012 Loess Fit = -0.063 Date_of_death = Jan2012 Loess Fit = -0.063 Date_of_death = Dec2011 Loess Fit = -0.063 Date_of_death = Dec2011 Loess Fit = -0.063 Date_of_death = Nov2011 Loess Fit = -0.063 Date_of_death = Nov2011 Loess Fit = -0.063 Date_of_death = Oct2011 Loess Fit = -0.063 Date_of_death = Oct2011 Loess Fit = -0.063 Date_of_death = Sep2011 Loess Fit = -0.064 Date_of_death = Sep2011 Loess Fit = -0.064 Date_of_death = Aug2011 Loess Fit = -0.064 Date_of_death = Aug2011 Loess Fit = -0.064 Date_of_death = Jun2011 Loess Fit = -0.064 Date_of_death = Jun2011 Loess Fit = -0.064 Date_of_death = May2011 Loess Fit = -0.064 Date_of_death = May2011 Loess Fit = -0.064 Date_of_death = Apr2011 Loess Fit = -0.064 Date_of_death = Apr2011 Loess Fit = -0.064 Date_of_death = Mar2011 Loess Fit = -0.064 Date_of_death = Mar2011 Loess Fit = -0.064 Date_of_death = Feb2011 Loess Fit = -0.064 Date_of_death = Feb2011 Loess Fit = -0.064 Date_of_death = Jan2011 Loess Fit = -0.065 Date_of_death = Jan2011 Loess Fit = -0.065 Date_of_death = Dec2010 Loess Fit = -0.065 Date_of_death = Dec2010 Loess Fit = -0.065 Date_of_death = Nov2010 Loess Fit = -0.065 Date_of_death = Nov2010 Loess Fit = -0.065 Date_of_death = Sep2010 Loess Fit = -0.065 Date_of_death = Sep2010 Loess Fit = -0.065 Date_of_death = Aug2010 Loess Fit = -0.065 Date_of_death = Aug2010 Loess Fit = -0.065 Date_of_death = Jul2010 Loess Fit = -0.065 Date_of_death = Jul2010 Loess Fit = -0.065 Date_of_death = Jun2010 Loess Fit = -0.065 Date_of_death = Jun2010 Loess Fit = -0.065 Date_of_death = May2010 Loess Fit = -0.065 Date_of_death = May2010 Loess Fit = -0.065 Date_of_death = Apr2010 Loess Fit = -0.065 Date_of_death = Apr2010 Loess Fit = -0.065 Date_of_death = Mar2010 Loess Fit = -0.063 Date_of_death = Mar2010 Loess Fit = -0.063 Date_of_death = Feb2010 Loess Fit = -0.062 Date_of_death = Feb2010 Loess Fit = -0.062 Date_of_death = Jan2010 Loess Fit = -0.061 Date_of_death = Jan2010 Loess Fit = -0.061 Date_of_death = Nov2009 Loess Fit = -0.059 Date_of_death = Nov2009 Loess Fit = -0.059 Date_of_death = Oct2009 Loess Fit = -0.058 Date_of_death = Oct2009 Loess Fit = -0.058 Date_of_death = Sep2009 Loess Fit = -0.057 Date_of_death = Sep2009 Loess Fit = -0.057 Date_of_death = Aug2009 Loess Fit = -0.055 Date_of_death = Aug2009 Loess Fit = -0.055 Date_of_death = Jul2009 Loess Fit = -0.054 Date_of_death = Jul2009 Loess Fit = -0.054 Date_of_death = Jun2009 Loess Fit = -0.052 Date_of_death = Jun2009 Loess Fit = -0.052 Date_of_death = May2009 Loess Fit = -0.051 Date_of_death = May2009 Loess Fit = -0.051 Date_of_death = Apr2009 Loess Fit = -0.05 Date_of_death = Apr2009 Loess Fit = -0.05 Date_of_death = Mar2009 Loess Fit = -0.048 Date_of_death = Mar2009 Loess Fit = -0.048 Date_of_death = Jan2009 Loess Fit = -0.047 Date_of_death = Jan2009 Loess Fit = -0.047 Date_of_death = Dec2008 Loess Fit = -0.045 Date_of_death = Dec2008 Loess Fit = -0.045 Date_of_death = Nov2008 Loess Fit = -0.044 Date_of_death = Nov2008 Loess Fit = -0.044 Date_of_death = Oct2008 Loess Fit = -0.043 Date_of_death = Oct2008 Loess Fit = -0.043 Date_of_death = Sep2008 Loess Fit = -0.041 Date_of_death = Sep2008 Loess Fit = -0.041 Date_of_death = Aug2008 Loess Fit = -0.04 Date_of_death = Aug2008 Loess Fit = -0.04 Date_of_death = Jul2008 Loess Fit = -0.039 Date_of_death = Jul2008 Loess Fit = -0.039 Date_of_death = Jun2008 Loess Fit = -0.037 Date_of_death = Jun2008 Loess Fit = -0.037 Date_of_death = May2008 Loess Fit = -0.036 Date_of_death = May2008 Loess Fit = -0.036 Date_of_death = Mar2008 Loess Fit = -0.034 Date_of_death = Mar2008 Loess Fit = -0.034 Date_of_death = Feb2008 Loess Fit = -0.033 Date_of_death = Feb2008 Loess Fit = -0.033 Date_of_death = Jan2008 Loess Fit = -0.032 Date_of_death = Jan2008 Loess Fit = -0.032 Date_of_death = Dec2007 Loess Fit = -0.03 Date_of_death = Dec2007 Loess Fit = -0.03 Date_of_death = Nov2007 Loess Fit = -0.029 Date_of_death = Nov2007 Loess Fit = -0.029 Date_of_death = Oct2007 Loess Fit = -0.028 Date_of_death = Oct2007 Loess Fit = -0.028 Date_of_death = Sep2007 Loess Fit = -0.027 Date_of_death = Sep2007 Loess Fit = -0.027 Date_of_death = Aug2007 Loess Fit = -0.026 Date_of_death = Aug2007 Loess Fit = -0.026 Date_of_death = Jul2007 Loess Fit = -0.025 Date_of_death = Jul2007 Loess Fit = -0.025 Date_of_death = May2007 Loess Fit = -0.024 Date_of_death = May2007 Loess Fit = -0.024 Date_of_death = Apr2007 Loess Fit = -0.023 Date_of_death = Apr2007 Loess Fit = -0.023 Date_of_death = Mar2007 Loess Fit = -0.022 Date_of_death = Mar2007 Loess Fit = -0.022 Date_of_death = Feb2007 Loess Fit = -0.021 Date_of_death = Feb2007 Loess Fit = -0.021 Date_of_death = Jan2007 Loess Fit = -0.02 Date_of_death = Jan2007 Loess Fit = -0.02 Date_of_death = Dec2006 Loess Fit = -0.019 Date_of_death = Dec2006 Loess Fit = -0.019 Date_of_death = Nov2006 Loess Fit = -0.018 Date_of_death = Nov2006 Loess Fit = -0.018 Date_of_death = Oct2006 Loess Fit = -0.016 Date_of_death = Oct2006 Loess Fit = -0.016 Date_of_death = Aug2006 Loess Fit = -0.015 Date_of_death = Aug2006 Loess Fit = -0.015 Date_of_death = Jul2006 Loess Fit = -0.014 Date_of_death = Jul2006 Loess Fit = -0.014 Date_of_death = Jun2006 Loess Fit = -0.013 Date_of_death = Jun2006 Loess Fit = -0.013 Date_of_death = May2006 Loess Fit = -0.012 Date_of_death = May2006 Loess Fit = -0.012 Date_of_death = Apr2006 Loess Fit = -0.011 Date_of_death = Apr2006 Loess Fit = -0.011 Date_of_death = Mar2006 Loess Fit = -0.01 Date_of_death = Mar2006 Loess Fit = -0.01 Date_of_death = Feb2006 Loess Fit = -0.009 Date_of_death = Feb2006 Loess Fit = -0.009 Date_of_death = Jan2006 Loess Fit = -0.008 Date_of_death = Jan2006 Loess Fit = -0.008 Date_of_death = Dec2005 Loess Fit = -0.007 Date_of_death = Dec2005 Loess Fit = -0.007 Date_of_death = Oct2005 Loess Fit = -0.006 Date_of_death = Oct2005 Loess Fit = -0.006 Date_of_death = Sep2005 Loess Fit = -0.005 Date_of_death = Sep2005 Loess Fit = -0.005 Date_of_death = Aug2005 Loess Fit = -0.004 Date_of_death = Aug2005 Loess Fit = -0.004 Date_of_death = Jul2005 Loess Fit = -0.002 Date_of_death = Jul2005 Loess Fit = -0.002 Date_of_death = Jun2005 Loess Fit = -0.001 Date_of_death = Jun2005 Loess Fit = -0.001 Date_of_death = May2005 Loess Fit = -11E-5 Date_of_death = May2005 Loess Fit = -11E-5 Date_of_death = Apr2005 Loess Fit = 0.0011 Date_of_death = Apr2005 Loess Fit = 0.0011 Date_of_death = Mar2005 Loess Fit = 0.0023 Date_of_death = Mar2005 Loess Fit = 0.0023 Date_of_death = Jan2005 Loess Fit = 0.0034 Date_of_death = Jan2005 Loess Fit = 0.0034 Date_of_death = Dec2004 Loess Fit = 0.0046 Date_of_death = Dec2004 Loess Fit = 0.0046 Date_of_death = Nov2004 Loess Fit = 0.0058 Date_of_death = Nov2004 Loess Fit = 0.0058 Date_of_death = Oct2004 Loess Fit = 0.007 Date_of_death = Oct2004 Loess Fit = 0.007 Date_of_death = Sep2004 Loess Fit = 0.0082 Date_of_death = Sep2004 Loess Fit = 0.0082 Date_of_death = Aug2004 Loess Fit = 0.0094 Date_of_death = Aug2004 Loess Fit = 0.0094 Date_of_death = Jul2004 Loess Fit = 0.0106 Date_of_death = Jul2004 Loess Fit = 0.0106 Date_of_death = Jun2004 Loess Fit = 0.0118 Date_of_death = Jun2004 Loess Fit = 0.0118 Date_of_death = May2004 Loess Fit = 0.0129 Date_of_death = May2004 Loess Fit = 0.0129 Date_of_death = Mar2004 Loess Fit = 0.0141 Date_of_death = Mar2004 Loess Fit = 0.0141 Date_of_death = Feb2004 Loess Fit = 0.0153 Date_of_death = Feb2004 Loess Fit = 0.0153 Date_of_death = Jan2004 Loess Fit = 0.0165 Date_of_death = Jan2004 Loess Fit = 0.0165 Date_of_death = Dec2003 Loess Fit = 0.0177 Date_of_death = Dec2003 Loess Fit = 0.0177 Date_of_death = Nov2003 Loess Fit = 0.0189 Date_of_death = Nov2003 Loess Fit = 0.0189 Date_of_death = Oct2003 Loess Fit = 0.0201 Date_of_death = Oct2003 Loess Fit = 0.0201 Date_of_death = Sep2003 Loess Fit = 0.0212 Date_of_death = Sep2003 Loess Fit = 0.0212 Date_of_death = Aug2003 Loess Fit = 0.0224 Date_of_death = Aug2003 Loess Fit = 0.0224 Date_of_death = Jul2003 Loess Fit = 0.0236 Date_of_death = Jul2003 Loess Fit = 0.0236 Date_of_death = May2003 Loess Fit = 0.0248 Date_of_death = May2003 Loess Fit = 0.0248 Date_of_death = Apr2003 Loess Fit = 0.026 Date_of_death = Apr2003 Loess Fit = 0.026 Date_of_death = Mar2003 Loess Fit = 0.0273 Date_of_death = Mar2003 Loess Fit = 0.0273 Date_of_death = Feb2003 Loess Fit = 0.0285 Date_of_death = Feb2003 Loess Fit = 0.0285 Date_of_death = Jan2003 Loess Fit = 0.0298 Date_of_death = Jan2003 Loess Fit = 0.0298 Date_of_death = Dec2002 Loess Fit = 0.0311 Date_of_death = Dec2002 Loess Fit = 0.0311 Date_of_death = Nov2002 Loess Fit = 0.0323 Date_of_death = Nov2002 Loess Fit = 0.0323 Date_of_death = Oct2002 Loess Fit = 0.0336 Date_of_death = Oct2002 Loess Fit = 0.0336 Date_of_death = Aug2002 Loess Fit = 0.0349 Date_of_death = Aug2002 Loess Fit = 0.0349 Date_of_death = Jul2002 Loess Fit = 0.0362 Date_of_death = Jul2002 Loess Fit = 0.0362 Date_of_death = Jun2002 Loess Fit = 0.0374 Date_of_death = Jun2002 Loess Fit = 0.0374 Date_of_death = May2002 Loess Fit = 0.0387 Date_of_death = May2002 Loess Fit = 0.0387 Date_of_death = Apr2002 Loess Fit = 0.04 Date_of_death = Apr2002 Loess Fit = 0.04 Date_of_death = Mar2002 Loess Fit = 0.0412 Date_of_death = Mar2002 Loess Fit = 0.0412 Date_of_death = Feb2002 Loess Fit = 0.0425 Date_of_death = Feb2002 Loess Fit = 0.0425 Date_of_death = Jan2002 Loess Fit = 0.0438 Date_of_death = Jan2002 Loess Fit = 0.0438 Date_of_death = Dec2001 Loess Fit = 0.045 Date_of_death = Dec2001 Loess Fit = 0.045 Date_of_death = Oct2001 Loess Fit = 0.0463 Date_of_death = Oct2001 Loess Fit = 0.0463 Date_of_death = Sep2001 Loess Fit = 0.0476 Date_of_death = Sep2001 Loess Fit = 0.0476 Date_of_death = Aug2001 Loess Fit = 0.0488 Date_of_death = Aug2001 Loess Fit = 0.0488 Date_of_death = Jul2001 Loess Fit = 0.0501 Date_of_death = Jul2001 Loess Fit = 0.0501 Date_of_death = Jun2001 Loess Fit = 0.0514 Date_of_death = Jun2001 Loess Fit = 0.0514 Date_of_death = May2001 Loess Fit = 0.0527 Date_of_death = May2001 Loess Fit = 0.0527 Date_of_death = Apr2001 Loess Fit = 0.0539 Date_of_death = Apr2001 Loess Fit = 0.0539 Date_of_death = Mar2001 Loess Fit = 0.0552 Date_of_death = Mar2001 Loess Fit = 0.0552 Date_of_death = Feb2001 Loess Fit = 0.0565 Date_of_death = Sep2019 Prediction Error = -1.4 Date_of_death = Aug2019 Prediction Error = -0.724 Date_of_death = Jul2019 Prediction Error = -1.728 Date_of_death = Jun2019 Prediction Error = 0.9366 Date_of_death = May2019 Prediction Error = -1.656 Date_of_death = Apr2019 Prediction Error = -0.935 Date_of_death = Mar2019 Prediction Error = 1.494 Date_of_death = Feb2019 Prediction Error = 1.0672 Date_of_death = Jan2019 Prediction Error = -1.771 Date_of_death = Dec2018 Prediction Error = 0.441 Date_of_death = Nov2018 Prediction Error = 0.9966 Date_of_death = Oct2018 Prediction Error = 1.2185 Date_of_death = Sep2018 Prediction Error = -1.503 Date_of_death = Aug2018 Prediction Error = 1.3926 Date_of_death = Jul2018 Prediction Error = -0.797 Date_of_death = Jun2018 Prediction Error = -2.192 Date_of_death = May2018 Prediction Error = 1.4642 Date_of_death = Apr2018 Prediction Error = 1.1185 Date_of_death = Mar2018 Prediction Error = -0.56 Date_of_death = Feb2018 Prediction Error = 1.1623 Date_of_death = Jan2018 Prediction Error = -0.84 Date_of_death = Dec2017 Prediction Error = 0.4714 Date_of_death = Nov2017 Prediction Error = 1.0581 Date_of_death = Oct2017 Prediction Error = -1.91 Date_of_death = Sep2017 Prediction Error = 1.6104 Date_of_death = Aug2017 Prediction Error = -0.657 Date_of_death = Jul2017 Prediction Error = -1.91 Date_of_death = Jun2017 Prediction Error = 0.8699 Date_of_death = May2017 Prediction Error = -1.665 Date_of_death = Apr2017 Prediction Error = 1.2179 Date_of_death = Mar2017 Prediction Error = 1.53 Date_of_death = Feb2017 Prediction Error = 0.1697 Date_of_death = Jan2017 Prediction Error = 0.1668 Date_of_death = Dec2016 Prediction Error = 0.4989 Date_of_death = Nov2016 Prediction Error = -2.081 Date_of_death = Oct2016 Prediction Error = 1.1762 Date_of_death = Sep2016 Prediction Error = 1.7329 Date_of_death = Aug2016 Prediction Error = 0.3722 Date_of_death = Jul2016 Prediction Error = 1.1655 Date_of_death = Jun2016 Prediction Error = -1.213 Date_of_death = May2016 Prediction Error = -1.795 Date_of_death = Apr2016 Prediction Error = -1.919 Date_of_death = Mar2016 Prediction Error = 0.5831 Date_of_death = Feb2016 Prediction Error = 0.1779 Date_of_death = Jan2016 Prediction Error = -1.986 Date_of_death = Dec2015 Prediction Error = 0.5672 Date_of_death = Nov2015 Prediction Error = 0.9808 Date_of_death = Oct2015 Prediction Error = 1.252 Date_of_death = Sep2015 Prediction Error = -1.381 Date_of_death = Aug2015 Prediction Error = 1.4834 Date_of_death = Jul2015 Prediction Error = -0.902 Date_of_death = Jun2015 Prediction Error = 0.8697 Date_of_death = May2015 Prediction Error = -1.932 Date_of_death = Apr2015 Prediction Error = 1.1759 Date_of_death = Mar2015 Prediction Error = 0.6219 Date_of_death = Feb2015 Prediction Error = 1.2831 Date_of_death = Jan2015 Prediction Error = 1.0877 Date_of_death = Dec2014 Prediction Error = 0.6015 Date_of_death = Nov2014 Prediction Error = 1.0515 Date_of_death = Oct2014 Prediction Error = 1.3613 Date_of_death = Sep2014 Prediction Error = 1.7379 Date_of_death = Aug2014 Prediction Error = -0.565 Date_of_death = Jul2014 Prediction Error = 1.1883 Date_of_death = Jun2014 Prediction Error = -1.22 Date_of_death = May2014 Prediction Error = -2.097 Date_of_death = Apr2014 Prediction Error = -1.97 Date_of_death = Mar2014 Prediction Error = 1.7627 Date_of_death = Feb2014 Prediction Error = -1.881 Date_of_death = Jan2014 Prediction Error = -2.077 Date_of_death = Dec2013 Prediction Error = 0.6604 Date_of_death = Nov2013 Prediction Error = 1.1329 Date_of_death = Oct2013 Prediction Error = -1.804 Date_of_death = Sep2013 Prediction Error = 1.9074 Date_of_death = Aug2013 Prediction Error = -1.724 Date_of_death = Jul2013 Prediction Error = -1.956 Date_of_death = Jun2013 Prediction Error = -2.393 Date_of_death = May2013 Prediction Error = 1.0108 Date_of_death = Apr2013 Prediction Error = -2.164 Date_of_death = Mar2013 Prediction Error = -0.234 Date_of_death = Feb2013 Prediction Error = 1.2346 Date_of_death = Jan2013 Prediction Error = -0.095 Date_of_death = Dec2012 Prediction Error = 0.7166 Date_of_death = Nov2012 Prediction Error = 1.2481 Date_of_death = Oct2012 Prediction Error = 1.2916 Date_of_death = Sep2012 Prediction Error = -1.193 Date_of_death = Aug2012 Prediction Error = -1.869 Date_of_death = Jul2012 Prediction Error = -1.022 Date_of_death = Jun2012 Prediction Error = 0.664 Date_of_death = May2012 Prediction Error = -2.168 Date_of_death = Apr2012 Prediction Error = 0.9285 Date_of_death = Mar2012 Prediction Error = 1.9221 Date_of_death = Feb2012 Prediction Error = 1.3422 Date_of_death = Jan2012 Prediction Error = -0.116 Date_of_death = Dec2011 Prediction Error = -2.523 Date_of_death = Nov2011 Prediction Error = -1.925 Date_of_death = Oct2011 Prediction Error = 1.4402 Date_of_death = Sep2011 Prediction Error = -1.31 Date_of_death = Aug2011 Prediction Error = -2.047 Date_of_death = Jul2011 Prediction Error = -0.018 Date_of_death = Jun2011 Prediction Error = 0.7447 Date_of_death = May2011 Prediction Error = 0.9071 Date_of_death = Apr2011 Prediction Error = 1.0072 Date_of_death = Mar2011 Prediction Error = -1.201 Date_of_death = Feb2011 Prediction Error = -0.718 Date_of_death = Jan2011 Prediction Error = -1.222 Date_of_death = Dec2010 Prediction Error = -0.565 Date_of_death = Nov2010 Prediction Error = 1.1877 Date_of_death = Oct2010 Prediction Error = 1.6009 Date_of_death = Sep2010 Prediction Error = 1.8801 Date_of_death = Aug2010 Prediction Error = -2.281 Date_of_death = Jul2010 Prediction Error = 1.097 Date_of_death = Jun2010 Prediction Error = 0.8168 Date_of_death = May2010 Prediction Error = 0.9978 Date_of_death = Apr2010 Prediction Error = -2.21 Date_of_death = Mar2010 Prediction Error = -1.319 Date_of_death = Feb2010 Prediction Error = -0.785 Date_of_death = Jan2010 Prediction Error = 0.8783 Date_of_death = Dec2009 Prediction Error = 0.4781 Date_of_death = Nov2009 Prediction Error = 1.3205 Date_of_death = Oct2009 Prediction Error = 1.7787 Date_of_death = Sep2009 Prediction Error = 0.9903 Date_of_death = Aug2009 Prediction Error = 0.7954 Date_of_death = Jul2009 Prediction Error = 1.2215 Date_of_death = Jun2009 Prediction Error = -2.456 Date_of_death = May2009 Prediction Error = -2.222 Date_of_death = Apr2009 Prediction Error = 0.9009 Date_of_death = Mar2009 Prediction Error = -0.357 Date_of_death = Feb2009 Prediction Error = -2.003 Date_of_death = Jan2009 Prediction Error = 1.0013 Date_of_death = Dec2008 Prediction Error = -2.869 Date_of_death = Nov2008 Prediction Error = 1.4991 Date_of_death = Oct2008 Prediction Error = 2.006 Date_of_death = Sep2008 Prediction Error = -0.022 Date_of_death = Aug2008 Prediction Error = -2.505 Date_of_death = Jul2008 Prediction Error = -1.995 Date_of_death = Jun2008 Prediction Error = -1.633 Date_of_death = May2008 Prediction Error = -1.383 Date_of_death = Apr2008 Prediction Error = 1.0282 Date_of_death = Mar2008 Prediction Error = 1.8678 Date_of_death = Feb2008 Prediction Error = 1.1192 Date_of_death = Jan2008 Prediction Error = 1.1603 Date_of_death = Dec2007 Prediction Error = 0.1407 Date_of_death = Nov2007 Prediction Error = 1.7157 Date_of_death = Oct2007 Prediction Error = -1.149 Date_of_death = Sep2007 Prediction Error = -0.011 Date_of_death = Aug2007 Prediction Error = -0.572 Date_of_death = Jul2007 Prediction Error = -2.286 Date_of_death = Jun2007 Prediction Error = 0.436 Date_of_death = May2007 Prediction Error = 0.7039 Date_of_death = Apr2007 Prediction Error = -2.279 Date_of_death = Mar2007 Prediction Error = 2.1517 Date_of_death = Feb2007 Prediction Error = -2.176 Date_of_death = Jan2007 Prediction Error = -0.979 Date_of_death = Dec2006 Prediction Error = 0.1613 Date_of_death = Nov2006 Prediction Error = 2.0173 Date_of_death = Oct2006 Prediction Error = 2.1661 Date_of_death = Sep2006 Prediction Error = 2.3299 Date_of_death = Aug2006 Prediction Error = 0.5045 Date_of_death = Jul2006 Prediction Error = -1.513 Date_of_death = Jun2006 Prediction Error = 0.5132 Date_of_death = May2006 Prediction Error = -0.34 Date_of_death = Apr2006 Prediction Error = -1.508 Date_of_death = Mar2006 Prediction Error = -0.983 Date_of_death = Feb2006 Prediction Error = 0.9737 Date_of_death = Jan2006 Prediction Error = -2.39 Date_of_death = Dec2005 Prediction Error = 0.1934 Date_of_death = Nov2005 Prediction Error = 0.0128 Date_of_death = Oct2005 Prediction Error = 0.1921 Date_of_death = Sep2005 Prediction Error = 0.3956 Date_of_death = Aug2005 Prediction Error = 0.6127 Date_of_death = Jul2005 Prediction Error = 0.5846 Date_of_death = Jun2005 Prediction Error = -2.999 Date_of_death = May2005 Prediction Error = -1.603 Date_of_death = Apr2005 Prediction Error = 0.6003 Date_of_death = Mar2005 Prediction Error = -1.19 Date_of_death = Feb2005 Prediction Error = 1.1847 Date_of_death = Jan2005 Prediction Error = 0.7624 Date_of_death = Dec2004 Prediction Error = 0.2411 Date_of_death = Nov2004 Prediction Error = -1.24 Date_of_death = Oct2004 Prediction Error = 2.7525 Date_of_death = Sep2004 Prediction Error = 2.9992 Date_of_death = Aug2004 Prediction Error = 0.7611 Date_of_death = Jul2004 Prediction Error = 0.7414 Date_of_death = Jun2004 Prediction Error = 0.0045 Date_of_death = May2004 Prediction Error = 0.496 Date_of_death = Apr2004 Prediction Error = 0.7561 Date_of_death = Mar2004 Prediction Error = -1.499 Date_of_death = Feb2004 Prediction Error = 1.4878 Date_of_death = Jan2004 Prediction Error = -2.996 Date_of_death = Dec2003 Prediction Error = 0.3306 Date_of_death = Nov2003 Prediction Error = -0.329 Date_of_death = Oct2003 Prediction Error = 0.9989 Date_of_death = Sep2003 Prediction Error = -0.005 Date_of_death = Aug2003 Prediction Error = -2.997 Date_of_death = Jul2003 Prediction Error = 0.9964 Date_of_death = Jun2003 Prediction Error = 0.0031 Date_of_death = May2003 Prediction Error = 0.6613 Date_of_death = Apr2003 Prediction Error = -2.998 Date_of_death = Mar2003 Prediction Error = 2.009 Date_of_death = Feb2003 Prediction Error = 1.9937 Date_of_death = Jan2003 Prediction Error = 0.0023 Date_of_death = Dec2002 Prediction Error = 0.4977 Date_of_death = Nov2002 Prediction Error = -0.498 Date_of_death = Oct2002 Prediction Error = -0.001 Date_of_death = Sep2002 Prediction Error = 3.3E-6 Date_of_death = Aug2002 Prediction Error = 0.0027 Date_of_death = Jul2002 Prediction Error = 1.498 Date_of_death = Jun2002 Prediction Error = 0.0015 Date_of_death = May2002 Prediction Error = 1.0014 Date_of_death = Apr2002 Prediction Error = -0.003 Date_of_death = Mar2002 Prediction Error = -1.495 Date_of_death = Feb2002 Prediction Error = 2.999 Date_of_death = Jan2002 Prediction Error = .00068 Date_of_death = Dec2001 Prediction Error = 0.998 Date_of_death = Nov2001 Prediction Error = -3 Date_of_death = Oct2001 Prediction Error = 1.6E-9 Date_of_death = Sep2001 Prediction Error = 1.4E-6 Date_of_death = Aug2001 Prediction Error = 0.002 Date_of_death = Jul2001 Prediction Error = 3 Date_of_death = Jun2001 Prediction Error = -0.001 Date_of_death = May2001 Prediction Error = -2 Date_of_death = Apr2001 Prediction Error = -0.002 Date_of_death = Mar2001 Prediction Error = -3 Date_of_death = Feb2001 Prediction Error = -4E-16 Date_of_death = Sep2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Aug2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Aug2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Jul2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Jul2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Jun2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Jun2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = May2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = May2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Apr2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Apr2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Mar2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Mar2019 2*STD = 2.7277 -2*STD = -2.728 Date_of_death = Feb2019 2*STD = 2.7278 -2*STD = -2.728 Date_of_death = Feb2019 2*STD = 2.7278 -2*STD = -2.728 Date_of_death = Jan2019 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Jan2019 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Dec2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Dec2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Nov2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Nov2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Oct2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Oct2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Sep2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Sep2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Aug2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Aug2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Jul2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Jul2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Jun2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Jun2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = May2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = May2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Apr2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Apr2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Mar2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Mar2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Feb2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Feb2018 2*STD = 2.7306 -2*STD = -2.731 Date_of_death = Jan2018 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Jan2018 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Dec2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Dec2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Nov2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Nov2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Oct2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Oct2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Sep2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Sep2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Aug2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Aug2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Jul2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Jul2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Jun2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Jun2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = May2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = May2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Apr2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Apr2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Mar2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Mar2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Feb2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Feb2017 2*STD = 2.7338 -2*STD = -2.734 Date_of_death = Jan2017 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Jan2017 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Dec2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Dec2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Nov2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Nov2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Oct2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Oct2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Sep2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Sep2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Aug2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Aug2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Jul2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Jul2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Jun2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Jun2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = May2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = May2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Apr2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Apr2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Mar2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Mar2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Feb2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Feb2016 2*STD = 2.7376 -2*STD = -2.738 Date_of_death = Jan2016 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Jan2016 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Dec2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Dec2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Nov2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Nov2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Oct2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Oct2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Sep2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Sep2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Aug2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Aug2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Jul2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Jul2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Jun2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Jun2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = May2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = May2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Apr2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Apr2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Mar2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Mar2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Feb2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Feb2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Jan2015 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Jan2015 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Dec2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Dec2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Nov2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Nov2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Oct2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Oct2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Sep2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Sep2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Aug2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Aug2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Jul2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Jul2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Jun2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Jun2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = May2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = May2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Apr2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Apr2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Mar2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Mar2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Feb2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Feb2014 2*STD = 2.747 -2*STD = -2.747 Date_of_death = Jan2014 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Jan2014 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Dec2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Dec2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Nov2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Nov2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Oct2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Oct2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Sep2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Sep2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Aug2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Aug2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Jul2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Jul2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Jun2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Jun2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = May2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = May2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Apr2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Apr2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Mar2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Mar2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Feb2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Feb2013 2*STD = 2.7529 -2*STD = -2.753 Date_of_death = Jan2013 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Jan2013 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Dec2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Dec2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Nov2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Nov2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Oct2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Oct2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Sep2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Sep2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Aug2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Aug2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Jul2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Jul2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Jun2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Jun2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = May2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = May2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Apr2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Apr2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Mar2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Mar2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Feb2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Feb2012 2*STD = 2.76 -2*STD = -2.76 Date_of_death = Jan2012 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Jan2012 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Dec2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Dec2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Nov2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Nov2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Oct2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Oct2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Sep2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Sep2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Aug2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Aug2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Jul2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Jul2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Jun2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Jun2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = May2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = May2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Apr2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Apr2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Mar2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Mar2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Feb2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Feb2011 2*STD = 2.7685 -2*STD = -2.769 Date_of_death = Jan2011 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Jan2011 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Dec2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Dec2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Nov2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Nov2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Oct2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Oct2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Sep2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Sep2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Aug2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Aug2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Jul2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Jul2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Jun2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Jun2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = May2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = May2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Apr2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Apr2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Mar2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Mar2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Feb2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Feb2010 2*STD = 2.7789 -2*STD = -2.779 Date_of_death = Jan2010 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Jan2010 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Dec2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Dec2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Nov2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Nov2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Oct2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Oct2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Sep2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Sep2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Aug2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Aug2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Jul2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Jul2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Jun2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Jun2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = May2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = May2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Apr2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Apr2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Mar2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Mar2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Feb2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Feb2009 2*STD = 2.7917 -2*STD = -2.792 Date_of_death = Jan2009 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Jan2009 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Dec2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Dec2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Nov2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Nov2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Oct2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Oct2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Sep2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Sep2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Aug2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Aug2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Jul2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Jul2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Jun2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Jun2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = May2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = May2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Apr2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Apr2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Mar2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Mar2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Feb2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Feb2008 2*STD = 2.8079 -2*STD = -2.808 Date_of_death = Jan2008 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Jan2008 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Dec2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Dec2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Nov2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Nov2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Oct2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Oct2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Sep2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Sep2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Aug2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Aug2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Jul2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Jul2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Jun2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Jun2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = May2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = May2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Apr2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Apr2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Mar2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Mar2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Feb2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Feb2007 2*STD = 2.8289 -2*STD = -2.829 Date_of_death = Jan2007 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Jan2007 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Dec2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Dec2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Nov2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Nov2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Oct2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Oct2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Sep2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Sep2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Aug2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Aug2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Jul2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Jul2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Jun2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Jun2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = May2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = May2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Apr2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Apr2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Mar2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Mar2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Feb2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Feb2006 2*STD = 2.857 -2*STD = -2.857 Date_of_death = Jan2006 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Jan2006 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Dec2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Dec2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Nov2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Nov2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Oct2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Oct2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Sep2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Sep2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Aug2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Aug2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Jul2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Jul2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Jun2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Jun2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = May2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = May2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Apr2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Apr2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Mar2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Mar2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Feb2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Feb2005 2*STD = 2.8962 -2*STD = -2.896 Date_of_death = Jan2005 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Jan2005 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Dec2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Dec2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Nov2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Nov2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Oct2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Oct2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Sep2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Sep2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Aug2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Aug2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Jul2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Jul2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Jun2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Jun2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = May2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = May2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Apr2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Apr2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Mar2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Mar2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Feb2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Feb2004 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Jan2004 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Jan2004 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Dec2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Dec2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Nov2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Nov2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Oct2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Oct2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Sep2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Sep2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Aug2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Aug2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Jul2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Jul2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Jun2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Jun2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = May2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = May2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Apr2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Apr2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Mar2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Mar2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Feb2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Feb2003 2*STD = 3.0502 -2*STD = -3.05 Date_of_death = Jan2003 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Jan2003 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Dec2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Dec2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Nov2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Nov2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Oct2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Oct2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Sep2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Sep2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Aug2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Aug2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Jul2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Jul2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Jun2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Jun2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = May2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = May2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Apr2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Apr2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Mar2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Mar2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Feb2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Feb2002 2*STD = 3.2337 -2*STD = -3.234 Date_of_death = Jan2002 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Jan2002 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Dec2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Dec2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Nov2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Nov2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Oct2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Oct2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Sep2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Sep2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Aug2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Aug2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Jul2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Jul2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Jun2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Jun2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = May2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = May2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Apr2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Apr2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Mar2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Mar2001 2*STD = 3.7323 -2*STD = -3.732 Date_of_death = Feb2001 2*STD = 3.7323 -2*STD = -3.732 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
237 OCT2019 2.867325 1.36387 0.194194 5.540456
238 NOV2019 3.067848 1.36391 0.394635 5.741061
239 DEC2019 3.600698 1.36391 0.927485 6.273910
240 JAN2020 2.643969 1.36390 -0.029229 5.317168
241 FEB2020 2.991721 1.36268 0.320923 5.662518
242 MAR2020 2.610620 1.36267 -0.060160 5.281400
243 APR2020 2.885889 1.36267 0.215108 5.556669
244 MAY2020 2.542144 1.36267 -0.128636 5.212924
245 JUN2020 3.137241 1.36267 0.466460 5.808021
246 JUL2020 2.620623 1.36267 -0.050157 5.291403
247 AUG2020 2.687398 1.36267 0.016618 5.358178
248 SEP2020 2.308600 1.36270 -0.362251 4.979452

Forecasts Only Plot

Date_of_death = Sep2020 Forecast = 2.3086 Date_of_death = Aug2020 Forecast = 2.6874 Date_of_death = Aug2020 Forecast = 2.6874 Date_of_death = Jul2020 Forecast = 2.6206 Date_of_death = Jul2020 Forecast = 2.6206 Date_of_death = Jun2020 Forecast = 3.1372 Date_of_death = Jun2020 Forecast = 3.1372 Date_of_death = May2020 Forecast = 2.5421 Date_of_death = May2020 Forecast = 2.5421 Date_of_death = Apr2020 Forecast = 2.8859 Date_of_death = Apr2020 Forecast = 2.8859 Date_of_death = Mar2020 Forecast = 2.6106 Date_of_death = Mar2020 Forecast = 2.6106 Date_of_death = Feb2020 Forecast = 2.9917 Date_of_death = Feb2020 Forecast = 2.9917 Date_of_death = Jan2020 Forecast = 2.6440 Date_of_death = Jan2020 Forecast = 2.6440 Date_of_death = Dec2019 Forecast = 3.6007 Date_of_death = Dec2019 Forecast = 3.6007 Date_of_death = Nov2019 Forecast = 3.0678 Date_of_death = Nov2019 Forecast = 3.0678 Date_of_death = Oct2019 Forecast = 2.8673 Date_of_death = Sep2020 Upper 95% = 4.9795 Lower 95% = -0.3623 Date_of_death = Aug2020 Upper 95% = 5.3582 Lower 95% = 0.0166 Date_of_death = Aug2020 Upper 95% = 5.3582 Lower 95% = 0.0166 Date_of_death = Jul2020 Upper 95% = 5.2914 Lower 95% = -0.0502 Date_of_death = Jul2020 Upper 95% = 5.2914 Lower 95% = -0.0502 Date_of_death = Jun2020 Upper 95% = 5.8080 Lower 95% = 0.4665 Date_of_death = Jun2020 Upper 95% = 5.8080 Lower 95% = 0.4665 Date_of_death = May2020 Upper 95% = 5.2129 Lower 95% = -0.1286 Date_of_death = May2020 Upper 95% = 5.2129 Lower 95% = -0.1286 Date_of_death = Apr2020 Upper 95% = 5.5567 Lower 95% = 0.2151 Date_of_death = Apr2020 Upper 95% = 5.5567 Lower 95% = 0.2151 Date_of_death = Mar2020 Upper 95% = 5.2814 Lower 95% = -0.0602 Date_of_death = Mar2020 Upper 95% = 5.2814 Lower 95% = -0.0602 Date_of_death = Feb2020 Upper 95% = 5.6625 Lower 95% = 0.3209 Date_of_death = Feb2020 Upper 95% = 5.6625 Lower 95% = 0.3209 Date_of_death = Jan2020 Upper 95% = 5.3172 Lower 95% = -0.0292 Date_of_death = Jan2020 Upper 95% = 5.3172 Lower 95% = -0.0292 Date_of_death = Dec2019 Upper 95% = 6.2739 Lower 95% = 0.9275 Date_of_death = Dec2019 Upper 95% = 6.2739 Lower 95% = 0.9275 Date_of_death = Nov2019 Upper 95% = 5.7411 Lower 95% = 0.3946 Date_of_death = Nov2019 Upper 95% = 5.7411 Lower 95% = 0.3946 Date_of_death = Oct2019 Upper 95% = 5.5405 Lower 95% = 0.1942
Forecast Only Plot

Forecasts Plot

X = 21793 Date_of_death = Sep2020 Forecast = 2.3086 Date_of_death = Aug2020 Forecast = 2.6874 Date_of_death = Aug2020 Forecast = 2.6874 Date_of_death = Jul2020 Forecast = 2.6206 Date_of_death = Jul2020 Forecast = 2.6206 Date_of_death = Jun2020 Forecast = 3.1372 Date_of_death = Jun2020 Forecast = 3.1372 Date_of_death = May2020 Forecast = 2.5421 Date_of_death = May2020 Forecast = 2.5421 Date_of_death = Apr2020 Forecast = 2.8859 Date_of_death = Apr2020 Forecast = 2.8859 Date_of_death = Mar2020 Forecast = 2.6106 Date_of_death = Mar2020 Forecast = 2.6106 Date_of_death = Feb2020 Forecast = 2.9917 Date_of_death = Feb2020 Forecast = 2.9917 Date_of_death = Jan2020 Forecast = 2.6440 Date_of_death = Jan2020 Forecast = 2.6440 Date_of_death = Dec2019 Forecast = 3.6007 Date_of_death = Dec2019 Forecast = 3.6007 Date_of_death = Nov2019 Forecast = 3.0678 Date_of_death = Nov2019 Forecast = 3.0678 Date_of_death = Oct2019 Forecast = 2.8673 Date_of_death = Oct2019 Forecast = 2.8673 Date_of_death = Sep2019 Forecast = 2.3998 Date_of_death = Sep2019 Forecast = 2.3998 Date_of_death = Aug2019 Forecast = 2.7244 Date_of_death = Aug2019 Forecast = 2.7244 Date_of_death = Jul2019 Forecast = 2.7276 Date_of_death = Jul2019 Forecast = 2.7276 Date_of_death = Jun2019 Forecast = 3.0634 Date_of_death = Jun2019 Forecast = 3.0634 Date_of_death = May2019 Forecast = 2.6565 Date_of_death = May2019 Forecast = 2.6565 Date_of_death = Apr2019 Forecast = 2.9349 Date_of_death = Apr2019 Forecast = 2.9349 Date_of_death = Mar2019 Forecast = 2.5060 Date_of_death = Mar2019 Forecast = 2.5060 Date_of_death = Feb2019 Forecast = 2.9328 Date_of_death = Feb2019 Forecast = 2.9328 Date_of_death = Jan2019 Forecast = 2.7707 Date_of_death = Jan2019 Forecast = 2.7707 Date_of_death = Dec2018 Forecast = 3.5590 Date_of_death = Dec2018 Forecast = 3.5590 Date_of_death = Nov2018 Forecast = 3.0034 Date_of_death = Nov2018 Forecast = 3.0034 Date_of_death = Oct2018 Forecast = 2.7815 Date_of_death = Oct2018 Forecast = 2.7815 Date_of_death = Sep2018 Forecast = 2.5035 Date_of_death = Sep2018 Forecast = 2.5035 Date_of_death = Aug2018 Forecast = 2.6074 Date_of_death = Aug2018 Forecast = 2.6074 Date_of_death = Jul2018 Forecast = 2.7975 Date_of_death = Jul2018 Forecast = 2.7975 Date_of_death = Jun2018 Forecast = 3.1921 Date_of_death = Jun2018 Forecast = 3.1921 Date_of_death = May2018 Forecast = 2.5358 Date_of_death = May2018 Forecast = 2.5358 Date_of_death = Apr2018 Forecast = 2.8815 Date_of_death = Apr2018 Forecast = 2.8815 Date_of_death = Mar2018 Forecast = 2.5597 Date_of_death = Mar2018 Forecast = 2.5597 Date_of_death = Feb2018 Forecast = 2.8377 Date_of_death = Feb2018 Forecast = 2.8377 Date_of_death = Jan2018 Forecast = 2.8403 Date_of_death = Jan2018 Forecast = 2.8403 Date_of_death = Dec2017 Forecast = 3.5286 Date_of_death = Dec2017 Forecast = 3.5286 Date_of_death = Nov2017 Forecast = 2.9419 Date_of_death = Nov2017 Forecast = 2.9419 Date_of_death = Oct2017 Forecast = 2.9100 Date_of_death = Oct2017 Forecast = 2.9100 Date_of_death = Sep2017 Forecast = 2.3896 Date_of_death = Sep2017 Forecast = 2.3896 Date_of_death = Aug2017 Forecast = 2.6570 Date_of_death = Aug2017 Forecast = 2.6570 Date_of_death = Jul2017 Forecast = 2.9096 Date_of_death = Jul2017 Forecast = 2.9096 Date_of_death = Jun2017 Forecast = 3.1301 Date_of_death = Jun2017 Forecast = 3.1301 Date_of_death = May2017 Forecast = 2.6649 Date_of_death = May2017 Forecast = 2.6649 Date_of_death = Apr2017 Forecast = 2.7821 Date_of_death = Apr2017 Forecast = 2.7821 Date_of_death = Mar2017 Forecast = 2.4700 Date_of_death = Mar2017 Forecast = 2.4700 Date_of_death = Feb2017 Forecast = 2.8303 Date_of_death = Feb2017 Forecast = 2.8303 Date_of_death = Jan2017 Forecast = 2.8332 Date_of_death = Jan2017 Forecast = 2.8332 Date_of_death = Dec2016 Forecast = 3.5011 Date_of_death = Dec2016 Forecast = 3.5011 Date_of_death = Nov2016 Forecast = 3.0812 Date_of_death = Nov2016 Forecast = 3.0812 Date_of_death = Oct2016 Forecast = 2.8238 Date_of_death = Oct2016 Forecast = 2.8238 Date_of_death = Sep2016 Forecast = 2.2671 Date_of_death = Sep2016 Forecast = 2.2671 Date_of_death = Aug2016 Forecast = 2.6278 Date_of_death = Aug2016 Forecast = 2.6278 Date_of_death = Jul2016 Forecast = 2.8345 Date_of_death = Jul2016 Forecast = 2.8345 Date_of_death = Jun2016 Forecast = 3.2131 Date_of_death = Jun2016 Forecast = 3.2131 Date_of_death = May2016 Forecast = 2.7954 Date_of_death = May2016 Forecast = 2.7954 Date_of_death = Apr2016 Forecast = 2.9195 Date_of_death = Apr2016 Forecast = 2.9195 Date_of_death = Mar2016 Forecast = 2.4169 Date_of_death = Mar2016 Forecast = 2.4169 Date_of_death = Feb2016 Forecast = 2.8221 Date_of_death = Feb2016 Forecast = 2.8221 Date_of_death = Jan2016 Forecast = 2.9861 Date_of_death = Jan2016 Forecast = 2.9861 Date_of_death = Dec2015 Forecast = 3.4328 Date_of_death = Dec2015 Forecast = 3.4328 Date_of_death = Nov2015 Forecast = 3.0192 Date_of_death = Nov2015 Forecast = 3.0192 Date_of_death = Oct2015 Forecast = 2.7480 Date_of_death = Oct2015 Forecast = 2.7480 Date_of_death = Sep2015 Forecast = 2.3808 Date_of_death = Sep2015 Forecast = 2.3808 Date_of_death = Aug2015 Forecast = 2.5166 Date_of_death = Aug2015 Forecast = 2.5166 Date_of_death = Jul2015 Forecast = 2.9022 Date_of_death = Jul2015 Forecast = 2.9022 Date_of_death = Jun2015 Forecast = 3.1303 Date_of_death = Jun2015 Forecast = 3.1303 Date_of_death = May2015 Forecast = 2.9320 Date_of_death = May2015 Forecast = 2.9320 Date_of_death = Apr2015 Forecast = 2.8241 Date_of_death = Apr2015 Forecast = 2.8241 Date_of_death = Mar2015 Forecast = 2.3781 Date_of_death = Mar2015 Forecast = 2.3781 Date_of_death = Feb2015 Forecast = 2.7169 Date_of_death = Feb2015 Forecast = 2.7169 Date_of_death = Jan2015 Forecast = 2.9123 Date_of_death = Jan2015 Forecast = 2.9123 Date_of_death = Dec2014 Forecast = 3.3985 Date_of_death = Dec2014 Forecast = 3.3985 Date_of_death = Nov2014 Forecast = 2.9485 Date_of_death = Nov2014 Forecast = 2.9485 Date_of_death = Oct2014 Forecast = 2.6387 Date_of_death = Oct2014 Forecast = 2.6387 Date_of_death = Sep2014 Forecast = 2.2621 Date_of_death = Sep2014 Forecast = 2.2621 Date_of_death = Aug2014 Forecast = 2.5649 Date_of_death = Aug2014 Forecast = 2.5649 Date_of_death = Jul2014 Forecast = 2.8117 Date_of_death = Jul2014 Forecast = 2.8117 Date_of_death = Jun2014 Forecast = 3.2200 Date_of_death = Jun2014 Forecast = 3.2200 Date_of_death = May2014 Forecast = 3.0970 Date_of_death = May2014 Forecast = 3.0970 Date_of_death = Apr2014 Forecast = 2.9704 Date_of_death = Apr2014 Forecast = 2.9704 Date_of_death = Mar2014 Forecast = 2.2373 Date_of_death = Mar2014 Forecast = 2.2373 Date_of_death = Feb2014 Forecast = 2.8806 Date_of_death = Feb2014 Forecast = 2.8806 Date_of_death = Jan2014 Forecast = 3.0768 Date_of_death = Jan2014 Forecast = 3.0768 Date_of_death = Dec2013 Forecast = 3.3396 Date_of_death = Dec2013 Forecast = 3.3396 Date_of_death = Nov2013 Forecast = 2.8671 Date_of_death = Nov2013 Forecast = 2.8671 Date_of_death = Oct2013 Forecast = 2.8036 Date_of_death = Oct2013 Forecast = 2.8036 Date_of_death = Sep2013 Forecast = 2.0926 Date_of_death = Sep2013 Forecast = 2.0926 Date_of_death = Aug2013 Forecast = 2.7237 Date_of_death = Aug2013 Forecast = 2.7237 Date_of_death = Jul2013 Forecast = 2.9559 Date_of_death = Jul2013 Forecast = 2.9559 Date_of_death = Jun2013 Forecast = 3.3932 Date_of_death = Jun2013 Forecast = 3.3932 Date_of_death = May2013 Forecast = 2.9892 Date_of_death = May2013 Forecast = 2.9892 Date_of_death = Apr2013 Forecast = 3.1640 Date_of_death = Apr2013 Forecast = 3.1640 Date_of_death = Mar2013 Forecast = 2.2335 Date_of_death = Mar2013 Forecast = 2.2335 Date_of_death = Feb2013 Forecast = 2.7654 Date_of_death = Feb2013 Forecast = 2.7654 Date_of_death = Jan2013 Forecast = 3.0952 Date_of_death = Jan2013 Forecast = 3.0952 Date_of_death = Dec2012 Forecast = 3.2834 Date_of_death = Dec2012 Forecast = 3.2834 Date_of_death = Nov2012 Forecast = 2.7519 Date_of_death = Nov2012 Forecast = 2.7519 Date_of_death = Oct2012 Forecast = 2.7084 Date_of_death = Oct2012 Forecast = 2.7084 Date_of_death = Sep2012 Forecast = 2.1926 Date_of_death = Sep2012 Forecast = 2.1926 Date_of_death = Aug2012 Forecast = 2.8690 Date_of_death = Aug2012 Forecast = 2.8690 Date_of_death = Jul2012 Forecast = 3.0218 Date_of_death = Jul2012 Forecast = 3.0218 Date_of_death = Jun2012 Forecast = 3.3360 Date_of_death = Jun2012 Forecast = 3.3360 Date_of_death = May2012 Forecast = 3.1683 Date_of_death = May2012 Forecast = 3.1683 Date_of_death = Apr2012 Forecast = 3.0715 Date_of_death = Apr2012 Forecast = 3.0715 Date_of_death = Mar2012 Forecast = 2.0779 Date_of_death = Mar2012 Forecast = 2.0779 Date_of_death = Feb2012 Forecast = 2.6578 Date_of_death = Feb2012 Forecast = 2.6578 Date_of_death = Jan2012 Forecast = 3.1163 Date_of_death = Jan2012 Forecast = 3.1163 Date_of_death = Dec2011 Forecast = 3.5231 Date_of_death = Dec2011 Forecast = 3.5231 Date_of_death = Nov2011 Forecast = 2.9255 Date_of_death = Nov2011 Forecast = 2.9255 Date_of_death = Oct2011 Forecast = 2.5598 Date_of_death = Oct2011 Forecast = 2.5598 Date_of_death = Sep2011 Forecast = 2.3101 Date_of_death = Sep2011 Forecast = 2.3101 Date_of_death = Aug2011 Forecast = 3.0471 Date_of_death = Aug2011 Forecast = 3.0471 Date_of_death = Jul2011 Forecast = 3.0175 Date_of_death = Jul2011 Forecast = 3.0175 Date_of_death = Jun2011 Forecast = 3.2553 Date_of_death = Jun2011 Forecast = 3.2553 Date_of_death = May2011 Forecast = 3.0929 Date_of_death = May2011 Forecast = 3.0929 Date_of_death = Apr2011 Forecast = 2.9928 Date_of_death = Apr2011 Forecast = 2.9928 Date_of_death = Mar2011 Forecast = 2.2008 Date_of_death = Mar2011 Forecast = 2.2008 Date_of_death = Feb2011 Forecast = 2.7181 Date_of_death = Feb2011 Forecast = 2.7181 Date_of_death = Jan2011 Forecast = 3.2218 Date_of_death = Jan2011 Forecast = 3.2218 Date_of_death = Dec2010 Forecast = 3.5646 Date_of_death = Dec2010 Forecast = 3.5646 Date_of_death = Nov2010 Forecast = 2.8123 Date_of_death = Nov2010 Forecast = 2.8123 Date_of_death = Oct2010 Forecast = 2.3991 Date_of_death = Oct2010 Forecast = 2.3991 Date_of_death = Sep2010 Forecast = 2.1199 Date_of_death = Sep2010 Forecast = 2.1199 Date_of_death = Aug2010 Forecast = 3.2813 Date_of_death = Aug2010 Forecast = 3.2813 Date_of_death = Jul2010 Forecast = 2.9030 Date_of_death = Jul2010 Forecast = 2.9030 Date_of_death = Jun2010 Forecast = 3.1832 Date_of_death = Jun2010 Forecast = 3.1832 Date_of_death = May2010 Forecast = 3.0022 Date_of_death = May2010 Forecast = 3.0022 Date_of_death = Apr2010 Forecast = 3.2104 Date_of_death = Apr2010 Forecast = 3.2104 Date_of_death = Mar2010 Forecast = 2.3191 Date_of_death = Mar2010 Forecast = 2.3191 Date_of_death = Feb2010 Forecast = 2.7847 Date_of_death = Feb2010 Forecast = 2.7847 Date_of_death = Jan2010 Forecast = 3.1217 Date_of_death = Jan2010 Forecast = 3.1217 Date_of_death = Dec2009 Forecast = 3.5219 Date_of_death = Dec2009 Forecast = 3.5219 Date_of_death = Nov2009 Forecast = 2.6795 Date_of_death = Nov2009 Forecast = 2.6795 Date_of_death = Oct2009 Forecast = 2.2213 Date_of_death = Oct2009 Forecast = 2.2213 Date_of_death = Sep2009 Forecast = 2.0097 Date_of_death = Sep2009 Forecast = 2.0097 Date_of_death = Aug2009 Forecast = 3.2046 Date_of_death = Aug2009 Forecast = 3.2046 Date_of_death = Jul2009 Forecast = 2.7785 Date_of_death = Jul2009 Forecast = 2.7785 Date_of_death = Jun2009 Forecast = 3.4564 Date_of_death = Jun2009 Forecast = 3.4564 Date_of_death = May2009 Forecast = 3.2219 Date_of_death = May2009 Forecast = 3.2219 Date_of_death = Apr2009 Forecast = 3.0991 Date_of_death = Apr2009 Forecast = 3.0991 Date_of_death = Mar2009 Forecast = 2.3572 Date_of_death = Mar2009 Forecast = 2.3572 Date_of_death = Feb2009 Forecast = 3.0026 Date_of_death = Feb2009 Forecast = 3.0026 Date_of_death = Jan2009 Forecast = 2.9987 Date_of_death = Jan2009 Forecast = 2.9987 Date_of_death = Dec2008 Forecast = 3.8686 Date_of_death = Dec2008 Forecast = 3.8686 Date_of_death = Nov2008 Forecast = 2.5009 Date_of_death = Nov2008 Forecast = 2.5009 Date_of_death = Oct2008 Forecast = 1.9940 Date_of_death = Oct2008 Forecast = 1.9940 Date_of_death = Sep2008 Forecast = 2.0224 Date_of_death = Sep2008 Forecast = 2.0224 Date_of_death = Aug2008 Forecast = 3.5046 Date_of_death = Aug2008 Forecast = 3.5046 Date_of_death = Jul2008 Forecast = 2.9949 Date_of_death = Jul2008 Forecast = 2.9949 Date_of_death = Jun2008 Forecast = 3.6329 Date_of_death = Jun2008 Forecast = 3.6329 Date_of_death = May2008 Forecast = 3.3831 Date_of_death = May2008 Forecast = 3.3831 Date_of_death = Apr2008 Forecast = 2.9718 Date_of_death = Apr2008 Forecast = 2.9718 Date_of_death = Mar2008 Forecast = 2.1322 Date_of_death = Mar2008 Forecast = 2.1322 Date_of_death = Feb2008 Forecast = 2.8808 Date_of_death = Feb2008 Forecast = 2.8808 Date_of_death = Jan2008 Forecast = 2.8397 Date_of_death = Jan2008 Forecast = 2.8397 Date_of_death = Dec2007 Forecast = 3.8593 Date_of_death = Dec2007 Forecast = 3.8593 Date_of_death = Nov2007 Forecast = 2.2843 Date_of_death = Nov2007 Forecast = 2.2843 Date_of_death = Oct2007 Forecast = 2.1492 Date_of_death = Oct2007 Forecast = 2.1492 Date_of_death = Sep2007 Forecast = 2.0111 Date_of_death = Sep2007 Forecast = 2.0111 Date_of_death = Aug2007 Forecast = 3.5719 Date_of_death = Aug2007 Forecast = 3.5719 Date_of_death = Jul2007 Forecast = 3.2862 Date_of_death = Jul2007 Forecast = 3.2862 Date_of_death = Jun2007 Forecast = 3.5640 Date_of_death = Jun2007 Forecast = 3.5640 Date_of_death = May2007 Forecast = 3.2961 Date_of_death = May2007 Forecast = 3.2961 Date_of_death = Apr2007 Forecast = 3.2791 Date_of_death = Apr2007 Forecast = 3.2791 Date_of_death = Mar2007 Forecast = 1.8483 Date_of_death = Mar2007 Forecast = 1.8483 Date_of_death = Feb2007 Forecast = 3.1757 Date_of_death = Feb2007 Forecast = 3.1757 Date_of_death = Jan2007 Forecast = 2.9792 Date_of_death = Jan2007 Forecast = 2.9792 Date_of_death = Dec2006 Forecast = 3.8387 Date_of_death = Dec2006 Forecast = 3.8387 Date_of_death = Nov2006 Forecast = 1.9827 Date_of_death = Nov2006 Forecast = 1.9827 Date_of_death = Oct2006 Forecast = 1.8339 Date_of_death = Oct2006 Forecast = 1.8339 Date_of_death = Sep2006 Forecast = 1.6701 Date_of_death = Sep2006 Forecast = 1.6701 Date_of_death = Aug2006 Forecast = 3.4955 Date_of_death = Aug2006 Forecast = 3.4955 Date_of_death = Jul2006 Forecast = 3.5125 Date_of_death = Jul2006 Forecast = 3.5125 Date_of_death = Jun2006 Forecast = 3.4868 Date_of_death = Jun2006 Forecast = 3.4868 Date_of_death = May2006 Forecast = 3.3400 Date_of_death = May2006 Forecast = 3.3400 Date_of_death = Apr2006 Forecast = 3.5084 Date_of_death = Apr2006 Forecast = 3.5084 Date_of_death = Mar2006 Forecast = 1.9826 Date_of_death = Mar2006 Forecast = 1.9826 Date_of_death = Feb2006 Forecast = 3.0263 Date_of_death = Feb2006 Forecast = 3.0263 Date_of_death = Jan2006 Forecast = 3.3899 Date_of_death = Jan2006 Forecast = 3.3899 Date_of_death = Dec2005 Forecast = 3.8066 Date_of_death = Dec2005 Forecast = 3.8066 Date_of_death = Nov2005 Forecast = 1.9872 Date_of_death = Nov2005 Forecast = 1.9872 Date_of_death = Oct2005 Forecast = 1.8079 Date_of_death = Oct2005 Forecast = 1.8079 Date_of_death = Sep2005 Forecast = 1.6044 Date_of_death = Sep2005 Forecast = 1.6044 Date_of_death = Aug2005 Forecast = 3.3873 Date_of_death = Aug2005 Forecast = 3.3873 Date_of_death = Jul2005 Forecast = 3.4154 Date_of_death = Jul2005 Forecast = 3.4154 Date_of_death = Jun2005 Forecast = 3.9991 Date_of_death = Jun2005 Forecast = 3.9991 Date_of_death = May2005 Forecast = 3.6033 Date_of_death = May2005 Forecast = 3.6033 Date_of_death = Apr2005 Forecast = 3.3997 Date_of_death = Apr2005 Forecast = 3.3997 Date_of_death = Mar2005 Forecast = 2.1898 Date_of_death = Mar2005 Forecast = 2.1898 Date_of_death = Feb2005 Forecast = 2.8153 Date_of_death = Feb2005 Forecast = 2.8153 Date_of_death = Jan2005 Forecast = 3.2376 Date_of_death = Jan2005 Forecast = 3.2376 Date_of_death = Dec2004 Forecast = 3.7589 Date_of_death = Dec2004 Forecast = 3.7589 Date_of_death = Nov2004 Forecast = 2.2401 Date_of_death = Nov2004 Forecast = 2.2401 Date_of_death = Oct2004 Forecast = 1.2475 Date_of_death = Oct2004 Forecast = 1.2475 Date_of_death = Sep2004 Forecast = 1.0008 Date_of_death = Sep2004 Forecast = 1.0008 Date_of_death = Aug2004 Forecast = 3.2389 Date_of_death = Aug2004 Forecast = 3.2389 Date_of_death = Jul2004 Forecast = 3.2586 Date_of_death = Jul2004 Forecast = 3.2586 Date_of_death = Jun2004 Forecast = 3.9955 Date_of_death = Jun2004 Forecast = 3.9955 Date_of_death = May2004 Forecast = 3.5040 Date_of_death = May2004 Forecast = 3.5040 Date_of_death = Apr2004 Forecast = 3.2439 Date_of_death = Apr2004 Forecast = 3.2439 Date_of_death = Mar2004 Forecast = 2.4985 Date_of_death = Mar2004 Forecast = 2.4985 Date_of_death = Feb2004 Forecast = 2.5122 Date_of_death = Feb2004 Forecast = 2.5122 Date_of_death = Jan2004 Forecast = 3.9962 Date_of_death = Jan2004 Forecast = 3.9962 Date_of_death = Dec2003 Forecast = 3.6694 Date_of_death = Dec2003 Forecast = 3.6694 Date_of_death = Nov2003 Forecast = 2.3291 Date_of_death = Nov2003 Forecast = 2.3291 Date_of_death = Oct2003 Forecast = 1.0011 Date_of_death = Oct2003 Forecast = 1.0011 Date_of_death = Sep2003 Forecast = 1.0047 Date_of_death = Sep2003 Forecast = 1.0047 Date_of_death = Aug2003 Forecast = 3.9966 Date_of_death = Aug2003 Forecast = 3.9966 Date_of_death = Jul2003 Forecast = 3.0036 Date_of_death = Jul2003 Forecast = 3.0036 Date_of_death = Jun2003 Forecast = 3.9969 Date_of_death = Jun2003 Forecast = 3.9969 Date_of_death = May2003 Forecast = 3.3387 Date_of_death = May2003 Forecast = 3.3387 Date_of_death = Apr2003 Forecast = 3.9983 Date_of_death = Apr2003 Forecast = 3.9983 Date_of_death = Mar2003 Forecast = 1.9910 Date_of_death = Mar2003 Forecast = 1.9910 Date_of_death = Feb2003 Forecast = 2.0063 Date_of_death = Feb2003 Forecast = 2.0063 Date_of_death = Jan2003 Forecast = 3.9977 Date_of_death = Jan2003 Forecast = 3.9977 Date_of_death = Dec2002 Forecast = 3.5023 Date_of_death = Dec2002 Forecast = 3.5023 Date_of_death = Nov2002 Forecast = 2.4976 Date_of_death = Nov2002 Forecast = 2.4976 Date_of_death = Oct2002 Forecast = 1.0010 Date_of_death = Oct2002 Forecast = 1.0010 Date_of_death = Sep2002 Forecast = 1.0000 Date_of_death = Sep2002 Forecast = 1.0000 Date_of_death = Aug2002 Forecast = 3.9973 Date_of_death = Aug2002 Forecast = 3.9973 Date_of_death = Jul2002 Forecast = 2.5020 Date_of_death = Jul2002 Forecast = 2.5020 Date_of_death = Jun2002 Forecast = 3.9985 Date_of_death = Jun2002 Forecast = 3.9985 Date_of_death = May2002 Forecast = 2.9986 Date_of_death = May2002 Forecast = 2.9986 Date_of_death = Apr2002 Forecast = 4.0034 Date_of_death = Apr2002 Forecast = 4.0034 Date_of_death = Mar2002 Forecast = 2.4946 Date_of_death = Mar2002 Forecast = 2.4946 Date_of_death = Feb2002 Forecast = 1.0010 Date_of_death = Feb2002 Forecast = 1.0010 Date_of_death = Jan2002 Forecast = 3.9993 Date_of_death = Jan2002 Forecast = 3.9993 Date_of_death = Dec2001 Forecast = 3.0020 Date_of_death = Dec2001 Forecast = 3.0020 Date_of_death = Nov2001 Forecast = 4.0000 Date_of_death = Nov2001 Forecast = 4.0000 Date_of_death = Oct2001 Forecast = 1.0000 Date_of_death = Oct2001 Forecast = 1.0000 Date_of_death = Sep2001 Forecast = 1.0000 Date_of_death = Sep2001 Forecast = 1.0000 Date_of_death = Aug2001 Forecast = 3.9980 Date_of_death = Aug2001 Forecast = 3.9980 Date_of_death = Jul2001 Forecast = 1.0000 Date_of_death = Jul2001 Forecast = 1.0000 Date_of_death = Jun2001 Forecast = 4.0014 Date_of_death = Jun2001 Forecast = 4.0014 Date_of_death = May2001 Forecast = 4.0000 Date_of_death = May2001 Forecast = 4.0000 Date_of_death = Apr2001 Forecast = 4.0020 Date_of_death = Apr2001 Forecast = 4.0020 Date_of_death = Mar2001 Forecast = 4.0000 Date_of_death = Mar2001 Forecast = 4.0000 Date_of_death = Feb2001 Forecast = 1.0000 Date_of_death = Sep2019 incidents = 1.0000 Date_of_death = Aug2019 incidents = 2.0000 Date_of_death = Jul2019 incidents = 1.0000 Date_of_death = Jun2019 incidents = 4.0000 Date_of_death = May2019 incidents = 1.0000 Date_of_death = Apr2019 incidents = 2.0000 Date_of_death = Mar2019 incidents = 4.0000 Date_of_death = Feb2019 incidents = 4.0000 Date_of_death = Jan2019 incidents = 1.0000 Date_of_death = Dec2018 incidents = 4.0000 Date_of_death = Nov2018 incidents = 4.0000 Date_of_death = Oct2018 incidents = 4.0000 Date_of_death = Sep2018 incidents = 1.0000 Date_of_death = Aug2018 incidents = 4.0000 Date_of_death = Jul2018 incidents = 2.0000 Date_of_death = Jun2018 incidents = 1.0000 Date_of_death = May2018 incidents = 4.0000 Date_of_death = Apr2018 incidents = 4.0000 Date_of_death = Mar2018 incidents = 2.0000 Date_of_death = Feb2018 incidents = 4.0000 Date_of_death = Jan2018 incidents = 2.0000 Date_of_death = Dec2017 incidents = 4.0000 Date_of_death = Nov2017 incidents = 4.0000 Date_of_death = Oct2017 incidents = 1.0000 Date_of_death = Sep2017 incidents = 4.0000 Date_of_death = Aug2017 incidents = 2.0000 Date_of_death = Jul2017 incidents = 1.0000 Date_of_death = Jun2017 incidents = 4.0000 Date_of_death = May2017 incidents = 1.0000 Date_of_death = Apr2017 incidents = 4.0000 Date_of_death = Mar2017 incidents = 4.0000 Date_of_death = Feb2017 incidents = 3.0000 Date_of_death = Jan2017 incidents = 3.0000 Date_of_death = Dec2016 incidents = 4.0000 Date_of_death = Nov2016 incidents = 1.0000 Date_of_death = Oct2016 incidents = 4.0000 Date_of_death = Sep2016 incidents = 4.0000 Date_of_death = Aug2016 incidents = 3.0000 Date_of_death = Jul2016 incidents = 4.0000 Date_of_death = Jun2016 incidents = 2.0000 Date_of_death = May2016 incidents = 1.0000 Date_of_death = Apr2016 incidents = 1.0000 Date_of_death = Mar2016 incidents = 3.0000 Date_of_death = Feb2016 incidents = 3.0000 Date_of_death = Jan2016 incidents = 1.0000 Date_of_death = Dec2015 incidents = 4.0000 Date_of_death = Nov2015 incidents = 4.0000 Date_of_death = Oct2015 incidents = 4.0000 Date_of_death = Sep2015 incidents = 1.0000 Date_of_death = Aug2015 incidents = 4.0000 Date_of_death = Jul2015 incidents = 2.0000 Date_of_death = Jun2015 incidents = 4.0000 Date_of_death = May2015 incidents = 1.0000 Date_of_death = Apr2015 incidents = 4.0000 Date_of_death = Mar2015 incidents = 3.0000 Date_of_death = Feb2015 incidents = 4.0000 Date_of_death = Jan2015 incidents = 4.0000 Date_of_death = Dec2014 incidents = 4.0000 Date_of_death = Nov2014 incidents = 4.0000 Date_of_death = Oct2014 incidents = 4.0000 Date_of_death = Sep2014 incidents = 4.0000 Date_of_death = Aug2014 incidents = 2.0000 Date_of_death = Jul2014 incidents = 4.0000 Date_of_death = Jun2014 incidents = 2.0000 Date_of_death = May2014 incidents = 1.0000 Date_of_death = Apr2014 incidents = 1.0000 Date_of_death = Mar2014 incidents = 4.0000 Date_of_death = Feb2014 incidents = 1.0000 Date_of_death = Jan2014 incidents = 1.0000 Date_of_death = Dec2013 incidents = 4.0000 Date_of_death = Nov2013 incidents = 4.0000 Date_of_death = Oct2013 incidents = 1.0000 Date_of_death = Sep2013 incidents = 4.0000 Date_of_death = Aug2013 incidents = 1.0000 Date_of_death = Jul2013 incidents = 1.0000 Date_of_death = Jun2013 incidents = 1.0000 Date_of_death = May2013 incidents = 4.0000 Date_of_death = Apr2013 incidents = 1.0000 Date_of_death = Mar2013 incidents = 2.0000 Date_of_death = Feb2013 incidents = 4.0000 Date_of_death = Jan2013 incidents = 3.0000 Date_of_death = Dec2012 incidents = 4.0000 Date_of_death = Nov2012 incidents = 4.0000 Date_of_death = Oct2012 incidents = 4.0000 Date_of_death = Sep2012 incidents = 1.0000 Date_of_death = Aug2012 incidents = 1.0000 Date_of_death = Jul2012 incidents = 2.0000 Date_of_death = Jun2012 incidents = 4.0000 Date_of_death = May2012 incidents = 1.0000 Date_of_death = Apr2012 incidents = 4.0000 Date_of_death = Mar2012 incidents = 4.0000 Date_of_death = Feb2012 incidents = 4.0000 Date_of_death = Jan2012 incidents = 3.0000 Date_of_death = Dec2011 incidents = 1.0000 Date_of_death = Nov2011 incidents = 1.0000 Date_of_death = Oct2011 incidents = 4.0000 Date_of_death = Sep2011 incidents = 1.0000 Date_of_death = Aug2011 incidents = 1.0000 Date_of_death = Jul2011 incidents = 3.0000 Date_of_death = Jun2011 incidents = 4.0000 Date_of_death = May2011 incidents = 4.0000 Date_of_death = Apr2011 incidents = 4.0000 Date_of_death = Mar2011 incidents = 1.0000 Date_of_death = Feb2011 incidents = 2.0000 Date_of_death = Jan2011 incidents = 2.0000 Date_of_death = Dec2010 incidents = 3.0000 Date_of_death = Nov2010 incidents = 4.0000 Date_of_death = Oct2010 incidents = 4.0000 Date_of_death = Sep2010 incidents = 4.0000 Date_of_death = Aug2010 incidents = 1.0000 Date_of_death = Jul2010 incidents = 4.0000 Date_of_death = Jun2010 incidents = 4.0000 Date_of_death = May2010 incidents = 4.0000 Date_of_death = Apr2010 incidents = 1.0000 Date_of_death = Mar2010 incidents = 1.0000 Date_of_death = Feb2010 incidents = 2.0000 Date_of_death = Jan2010 incidents = 4.0000 Date_of_death = Dec2009 incidents = 4.0000 Date_of_death = Nov2009 incidents = 4.0000 Date_of_death = Oct2009 incidents = 4.0000 Date_of_death = Sep2009 incidents = 3.0000 Date_of_death = Aug2009 incidents = 4.0000 Date_of_death = Jul2009 incidents = 4.0000 Date_of_death = Jun2009 incidents = 1.0000 Date_of_death = May2009 incidents = 1.0000 Date_of_death = Apr2009 incidents = 4.0000 Date_of_death = Mar2009 incidents = 2.0000 Date_of_death = Feb2009 incidents = 1.0000 Date_of_death = Jan2009 incidents = 4.0000 Date_of_death = Dec2008 incidents = 1.0000 Date_of_death = Nov2008 incidents = 4.0000 Date_of_death = Oct2008 incidents = 4.0000 Date_of_death = Sep2008 incidents = 2.0000 Date_of_death = Aug2008 incidents = 1.0000 Date_of_death = Jul2008 incidents = 1.0000 Date_of_death = Jun2008 incidents = 2.0000 Date_of_death = May2008 incidents = 2.0000 Date_of_death = Apr2008 incidents = 4.0000 Date_of_death = Mar2008 incidents = 4.0000 Date_of_death = Feb2008 incidents = 4.0000 Date_of_death = Jan2008 incidents = 4.0000 Date_of_death = Dec2007 incidents = 4.0000 Date_of_death = Nov2007 incidents = 4.0000 Date_of_death = Oct2007 incidents = 1.0000 Date_of_death = Sep2007 incidents = 2.0000 Date_of_death = Aug2007 incidents = 3.0000 Date_of_death = Jul2007 incidents = 1.0000 Date_of_death = Jun2007 incidents = 4.0000 Date_of_death = May2007 incidents = 4.0000 Date_of_death = Apr2007 incidents = 1.0000 Date_of_death = Mar2007 incidents = 4.0000 Date_of_death = Feb2007 incidents = 1.0000 Date_of_death = Jan2007 incidents = 2.0000 Date_of_death = Dec2006 incidents = 4.0000 Date_of_death = Nov2006 incidents = 4.0000 Date_of_death = Oct2006 incidents = 4.0000 Date_of_death = Sep2006 incidents = 4.0000 Date_of_death = Aug2006 incidents = 4.0000 Date_of_death = Jul2006 incidents = 2.0000 Date_of_death = Jun2006 incidents = 4.0000 Date_of_death = May2006 incidents = 3.0000 Date_of_death = Apr2006 incidents = 2.0000 Date_of_death = Mar2006 incidents = 1.0000 Date_of_death = Feb2006 incidents = 4.0000 Date_of_death = Jan2006 incidents = 1.0000 Date_of_death = Dec2005 incidents = 4.0000 Date_of_death = Nov2005 incidents = 2.0000 Date_of_death = Oct2005 incidents = 2.0000 Date_of_death = Sep2005 incidents = 2.0000 Date_of_death = Aug2005 incidents = 4.0000 Date_of_death = Jul2005 incidents = 4.0000 Date_of_death = Jun2005 incidents = 1.0000 Date_of_death = May2005 incidents = 2.0000 Date_of_death = Apr2005 incidents = 4.0000 Date_of_death = Mar2005 incidents = 1.0000 Date_of_death = Feb2005 incidents = 4.0000 Date_of_death = Jan2005 incidents = 4.0000 Date_of_death = Dec2004 incidents = 4.0000 Date_of_death = Nov2004 incidents = 1.0000 Date_of_death = Oct2004 incidents = 4.0000 Date_of_death = Sep2004 incidents = 4.0000 Date_of_death = Aug2004 incidents = 4.0000 Date_of_death = Jul2004 incidents = 4.0000 Date_of_death = Jun2004 incidents = 4.0000 Date_of_death = May2004 incidents = 4.0000 Date_of_death = Apr2004 incidents = 4.0000 Date_of_death = Mar2004 incidents = 1.0000 Date_of_death = Feb2004 incidents = 4.0000 Date_of_death = Jan2004 incidents = 1.0000 Date_of_death = Dec2003 incidents = 4.0000 Date_of_death = Nov2003 incidents = 2.0000 Date_of_death = Oct2003 incidents = 2.0000 Date_of_death = Sep2003 incidents = 1.0000 Date_of_death = Aug2003 incidents = 1.0000 Date_of_death = Jul2003 incidents = 4.0000 Date_of_death = Jun2003 incidents = 4.0000 Date_of_death = May2003 incidents = 4.0000 Date_of_death = Apr2003 incidents = 1.0000 Date_of_death = Mar2003 incidents = 4.0000 Date_of_death = Feb2003 incidents = 4.0000 Date_of_death = Jan2003 incidents = 4.0000 Date_of_death = Dec2002 incidents = 4.0000 Date_of_death = Nov2002 incidents = 2.0000 Date_of_death = Oct2002 incidents = 1.0000 Date_of_death = Sep2002 incidents = 1.0000 Date_of_death = Aug2002 incidents = 4.0000 Date_of_death = Jul2002 incidents = 4.0000 Date_of_death = Jun2002 incidents = 4.0000 Date_of_death = May2002 incidents = 4.0000 Date_of_death = Apr2002 incidents = 4.0000 Date_of_death = Mar2002 incidents = 1.0000 Date_of_death = Feb2002 incidents = 4.0000 Date_of_death = Jan2002 incidents = 4.0000 Date_of_death = Dec2001 incidents = 4.0000 Date_of_death = Nov2001 incidents = 1.0000 Date_of_death = Oct2001 incidents = 1.0000 Date_of_death = Sep2001 incidents = 1.0000 Date_of_death = Aug2001 incidents = 4.0000 Date_of_death = Jul2001 incidents = 4.0000 Date_of_death = Jun2001 incidents = 4.0000 Date_of_death = May2001 incidents = 2.0000 Date_of_death = Apr2001 incidents = 4.0000 Date_of_death = Mar2001 incidents = 1.0000 Date_of_death = Feb2001 incidents = 1.0000 Date_of_death = Sep2020 Upper 95% = 4.9795 Lower 95% = -0.3623 Date_of_death = Aug2020 Upper 95% = 5.3582 Lower 95% = 0.0166 Date_of_death = Aug2020 Upper 95% = 5.3582 Lower 95% = 0.0166 Date_of_death = Jul2020 Upper 95% = 5.2914 Lower 95% = -0.0502 Date_of_death = Jul2020 Upper 95% = 5.2914 Lower 95% = -0.0502 Date_of_death = Jun2020 Upper 95% = 5.8080 Lower 95% = 0.4665 Date_of_death = Jun2020 Upper 95% = 5.8080 Lower 95% = 0.4665 Date_of_death = May2020 Upper 95% = 5.2129 Lower 95% = -0.1286 Date_of_death = May2020 Upper 95% = 5.2129 Lower 95% = -0.1286 Date_of_death = Apr2020 Upper 95% = 5.5567 Lower 95% = 0.2151 Date_of_death = Apr2020 Upper 95% = 5.5567 Lower 95% = 0.2151 Date_of_death = Mar2020 Upper 95% = 5.2814 Lower 95% = -0.0602 Date_of_death = Mar2020 Upper 95% = 5.2814 Lower 95% = -0.0602 Date_of_death = Feb2020 Upper 95% = 5.6625 Lower 95% = 0.3209 Date_of_death = Feb2020 Upper 95% = 5.6625 Lower 95% = 0.3209 Date_of_death = Jan2020 Upper 95% = 5.3172 Lower 95% = -0.0292 Date_of_death = Jan2020 Upper 95% = 5.3172 Lower 95% = -0.0292 Date_of_death = Dec2019 Upper 95% = 6.2739 Lower 95% = 0.9275 Date_of_death = Dec2019 Upper 95% = 6.2739 Lower 95% = 0.9275 Date_of_death = Nov2019 Upper 95% = 5.7411 Lower 95% = 0.3946 Date_of_death = Nov2019 Upper 95% = 5.7411 Lower 95% = 0.3946 Date_of_death = Oct2019 Upper 95% = 5.5405 Lower 95% = 0.1942
Forecast Plot

County=Jefferson

Series Span Summary

Estimation Span

County=Jefferson

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 6.00000 3.33755 2.30603

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 6.00000 3.33755 2.30603

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 4.23627
Level Error Variance 1.58860
Season Error Variance 5.85033

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -527.9
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 1061.9
BIC (smaller is better) 1072.1
AICC (smaller is better) 1062
HQIC (smaller is better) 1066
CAIC (smaller is better) 1075.1
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 5.26204 0.50077 10.51 <.0001
Level Error Variance 0.00267 0.0035726 0.75 0.4547
Season Error Variance 1.270137E-7 0.00006925 0.00 0.9985

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 6.42556
Root Mean Squared Error 2.53487
Mean Absolute Percentage Error 131.16827
Maximum Percent Error 83.97269
R-Square -0.22959
Adjusted R-Square -0.24067
Random Walk R-Square 0.21933
Amemiya's Adjusted R-Square -0.26283

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 2.93 0.0869
Level 1 68.58 <.0001
Season 11 7.81 0.7298

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.837076125 0.3425861

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 1.270137E-7

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 8.255 Percent = 0.0289 Prediction Error = 8.1765 Percent = 0.0341 Prediction Error = 8.1765 Percent = 0.0341 Prediction Error = 8.0981 Percent = 0.0402 Prediction Error = 8.0981 Percent = 0.0402 Prediction Error = 8.0196 Percent = 0.0472 Prediction Error = 8.0196 Percent = 0.0472 Prediction Error = 7.9412 Percent = 0.0553 Prediction Error = 7.9412 Percent = 0.0553 Prediction Error = 7.8627 Percent = 0.0646 Prediction Error = 7.8627 Percent = 0.0646 Prediction Error = 7.7843 Percent = 0.0752 Prediction Error = 7.7843 Percent = 0.0752 Prediction Error = 7.7058 Percent = 0.0872 Prediction Error = 7.7058 Percent = 0.0872 Prediction Error = 7.6274 Percent = 0.1009 Prediction Error = 7.6274 Percent = 0.1009 Prediction Error = 7.5489 Percent = 0.1165 Prediction Error = 7.5489 Percent = 0.1165 Prediction Error = 7.4704 Percent = 0.134 Prediction Error = 7.4704 Percent = 0.134 Prediction Error = 7.392 Percent = 0.1537 Prediction Error = 7.392 Percent = 0.1537 Prediction Error = 7.3135 Percent = 0.1759 Prediction Error = 7.3135 Percent = 0.1759 Prediction Error = 7.2351 Percent = 0.2008 Prediction Error = 7.2351 Percent = 0.2008 Prediction Error = 7.1566 Percent = 0.2285 Prediction Error = 7.1566 Percent = 0.2285 Prediction Error = 7.0782 Percent = 0.2595 Prediction Error = 7.0782 Percent = 0.2595 Prediction Error = 6.9997 Percent = 0.2939 Prediction Error = 6.9997 Percent = 0.2939 Prediction Error = 6.9213 Percent = 0.3321 Prediction Error = 6.9213 Percent = 0.3321 Prediction Error = 6.8428 Percent = 0.3744 Prediction Error = 6.8428 Percent = 0.3744 Prediction Error = 6.7644 Percent = 0.4212 Prediction Error = 6.7644 Percent = 0.4212 Prediction Error = 6.6859 Percent = 0.4727 Prediction Error = 6.6859 Percent = 0.4727 Prediction Error = 6.6074 Percent = 0.5294 Prediction Error = 6.6074 Percent = 0.5294 Prediction Error = 6.529 Percent = 0.5917 Prediction Error = 6.529 Percent = 0.5917 Prediction Error = 6.4505 Percent = 0.66 Prediction Error = 6.4505 Percent = 0.66 Prediction Error = 6.3721 Percent = 0.7346 Prediction Error = 6.3721 Percent = 0.7346 Prediction Error = 6.2936 Percent = 0.8162 Prediction Error = 6.2936 Percent = 0.8162 Prediction Error = 6.2152 Percent = 0.905 Prediction Error = 6.2152 Percent = 0.905 Prediction Error = 6.1367 Percent = 1.0017 Prediction Error = 6.1367 Percent = 1.0017 Prediction Error = 6.0583 Percent = 1.1067 Prediction Error = 6.0583 Percent = 1.1067 Prediction Error = 5.9798 Percent = 1.2205 Prediction Error = 5.9798 Percent = 1.2205 Prediction Error = 5.9014 Percent = 1.3435 Prediction Error = 5.9014 Percent = 1.3435 Prediction Error = 5.8229 Percent = 1.4764 Prediction Error = 5.8229 Percent = 1.4764 Prediction Error = 5.7445 Percent = 1.6195 Prediction Error = 5.7445 Percent = 1.6195 Prediction Error = 5.666 Percent = 1.7734 Prediction Error = 5.666 Percent = 1.7734 Prediction Error = 5.5875 Percent = 1.9385 Prediction Error = 5.5875 Percent = 1.9385 Prediction Error = 5.5091 Percent = 2.1151 Prediction Error = 5.5091 Percent = 2.1151 Prediction Error = 5.4306 Percent = 2.3038 Prediction Error = 5.4306 Percent = 2.3038 Prediction Error = 5.3522 Percent = 2.5048 Prediction Error = 5.3522 Percent = 2.5048 Prediction Error = 5.2737 Percent = 2.7183 Prediction Error = 5.2737 Percent = 2.7183 Prediction Error = 5.1953 Percent = 2.9445 Prediction Error = 5.1953 Percent = 2.9445 Prediction Error = 5.1168 Percent = 3.1835 Prediction Error = 5.1168 Percent = 3.1835 Prediction Error = 5.0384 Percent = 3.4353 Prediction Error = 5.0384 Percent = 3.4353 Prediction Error = 4.9599 Percent = 3.6998 Prediction Error = 4.9599 Percent = 3.6998 Prediction Error = 4.8815 Percent = 3.9766 Prediction Error = 4.8815 Percent = 3.9766 Prediction Error = 4.803 Percent = 4.2655 Prediction Error = 4.803 Percent = 4.2655 Prediction Error = 4.7245 Percent = 4.566 Prediction Error = 4.7245 Percent = 4.566 Prediction Error = 4.6461 Percent = 4.8772 Prediction Error = 4.6461 Percent = 4.8772 Prediction Error = 4.5676 Percent = 5.1985 Prediction Error = 4.5676 Percent = 5.1985 Prediction Error = 4.4107 Percent = 5.867 Prediction Error = 4.4107 Percent = 5.867 Prediction Error = 4.0185 Percent = 7.6268 Prediction Error = 4.0185 Percent = 7.6268 Prediction Error = 3.7831 Percent = 8.6758 Prediction Error = 3.7831 Percent = 8.6758 Prediction Error = 3.6262 Percent = 9.3401 Prediction Error = 3.6262 Percent = 9.3401 Prediction Error = 3.5477 Percent = 9.6558 Prediction Error = 3.5477 Percent = 9.6558 Prediction Error = 3.4693 Percent = 9.9579 Prediction Error = 3.4693 Percent = 9.9579 Prediction Error = 3.3908 Percent = 10.245 Prediction Error = 3.3908 Percent = 10.245 Prediction Error = 3.3124 Percent = 10.515 Prediction Error = 3.3124 Percent = 10.515 Prediction Error = 3.2339 Percent = 10.766 Prediction Error = 3.2339 Percent = 10.766 Prediction Error = 3.1555 Percent = 10.998 Prediction Error = 3.1555 Percent = 10.998 Prediction Error = 3.077 Percent = 11.208 Prediction Error = 3.077 Percent = 11.208 Prediction Error = 2.9985 Percent = 11.397 Prediction Error = 2.9985 Percent = 11.397 Prediction Error = 2.9201 Percent = 11.564 Prediction Error = 2.9201 Percent = 11.564 Prediction Error = 2.8416 Percent = 11.708 Prediction Error = 2.8416 Percent = 11.708 Prediction Error = 2.7632 Percent = 11.829 Prediction Error = 2.7632 Percent = 11.829 Prediction Error = 2.6847 Percent = 11.927 Prediction Error = 2.6847 Percent = 11.927 Prediction Error = 2.6063 Percent = 12.002 Prediction Error = 2.6063 Percent = 12.002 Prediction Error = 2.5278 Percent = 12.056 Prediction Error = 2.5278 Percent = 12.056 Prediction Error = 2.4494 Percent = 12.09 Prediction Error = 2.4494 Percent = 12.09 Prediction Error = 2.3709 Percent = 12.103 Prediction Error = 2.3709 Percent = 12.103 Prediction Error = 2.2925 Percent = 12.099 Prediction Error = 2.2925 Percent = 12.099 Prediction Error = 2.214 Percent = 12.077 Prediction Error = 2.214 Percent = 12.077 Prediction Error = 2.1355 Percent = 12.041 Prediction Error = 2.1355 Percent = 12.041 Prediction Error = 2.0571 Percent = 11.992 Prediction Error = 2.0571 Percent = 11.992 Prediction Error = 1.9786 Percent = 11.932 Prediction Error = 1.9786 Percent = 11.932 Prediction Error = 1.9002 Percent = 11.863 Prediction Error = 1.9002 Percent = 11.863 Prediction Error = 1.5079 Percent = 11.461 Prediction Error = 1.5079 Percent = 11.461 Prediction Error = 1.4295 Percent = 11.384 Prediction Error = 1.4295 Percent = 11.384 Prediction Error = 1.351 Percent = 11.313 Prediction Error = 1.351 Percent = 11.313 Prediction Error = 1.2726 Percent = 11.249 Prediction Error = 1.2726 Percent = 11.249 Prediction Error = 1.1941 Percent = 11.195 Prediction Error = 1.1941 Percent = 11.195 Prediction Error = 1.1156 Percent = 11.152 Prediction Error = 1.1156 Percent = 11.152 Prediction Error = 1.0372 Percent = 11.121 Prediction Error = 1.0372 Percent = 11.121 Prediction Error = 0.9587 Percent = 11.103 Prediction Error = 0.9587 Percent = 11.103 Prediction Error = 0.8803 Percent = 11.099 Prediction Error = 0.8803 Percent = 11.099 Prediction Error = 0.8018 Percent = 11.111 Prediction Error = 0.8018 Percent = 11.111 Prediction Error = 0.7234 Percent = 11.139 Prediction Error = 0.7234 Percent = 11.139 Prediction Error = 0.6449 Percent = 11.183 Prediction Error = 0.6449 Percent = 11.183 Prediction Error = 0.5665 Percent = 11.243 Prediction Error = 0.5665 Percent = 11.243 Prediction Error = 0.488 Percent = 11.321 Prediction Error = 0.488 Percent = 11.321 Prediction Error = 0.4096 Percent = 11.415 Prediction Error = 0.4096 Percent = 11.415 Prediction Error = 0.3311 Percent = 11.526 Prediction Error = 0.3311 Percent = 11.526 Prediction Error = 0.2526 Percent = 11.654 Prediction Error = 0.2526 Percent = 11.654 Prediction Error = 0.1742 Percent = 11.797 Prediction Error = 0.1742 Percent = 11.797 Prediction Error = 0.0957 Percent = 11.955 Prediction Error = 0.0957 Percent = 11.955 Prediction Error = 0.0173 Percent = 12.128 Prediction Error = 0.0173 Percent = 12.128 Prediction Error = -0.061 Percent = 12.315 Prediction Error = -0.061 Percent = 12.315 Prediction Error = -0.14 Percent = 12.515 Prediction Error = -0.14 Percent = 12.515 Prediction Error = -0.218 Percent = 12.726 Prediction Error = -0.218 Percent = 12.726 Prediction Error = -0.297 Percent = 12.947 Prediction Error = -0.297 Percent = 12.947 Prediction Error = -0.375 Percent = 13.177 Prediction Error = -0.375 Percent = 13.177 Prediction Error = -0.846 Percent = 14.655 Prediction Error = -0.846 Percent = 14.655 Prediction Error = -1.003 Percent = 15.14 Prediction Error = -1.003 Percent = 15.14 Prediction Error = -1.081 Percent = 15.371 Prediction Error = -1.081 Percent = 15.371 Prediction Error = -1.16 Percent = 15.593 Prediction Error = -1.16 Percent = 15.593 Prediction Error = -1.238 Percent = 15.802 Prediction Error = -1.238 Percent = 15.802 Prediction Error = -1.316 Percent = 15.996 Prediction Error = -1.316 Percent = 15.996 Prediction Error = -1.395 Percent = 16.174 Prediction Error = -1.395 Percent = 16.174 Prediction Error = -1.473 Percent = 16.333 Prediction Error = -1.473 Percent = 16.333 Prediction Error = -1.552 Percent = 16.472 Prediction Error = -1.552 Percent = 16.472 Prediction Error = -1.63 Percent = 16.588 Prediction Error = -1.63 Percent = 16.588 Prediction Error = -1.709 Percent = 16.679 Prediction Error = -1.709 Percent = 16.679 Prediction Error = -1.787 Percent = 16.745 Prediction Error = -1.787 Percent = 16.745 Prediction Error = -1.866 Percent = 16.783 Prediction Error = -1.866 Percent = 16.783 Prediction Error = -1.944 Percent = 16.793 Prediction Error = -1.944 Percent = 16.793 Prediction Error = -2.023 Percent = 16.774 Prediction Error = -2.023 Percent = 16.774 Prediction Error = -2.101 Percent = 16.724 Prediction Error = -2.101 Percent = 16.724 Prediction Error = -2.179 Percent = 16.644 Prediction Error = -2.179 Percent = 16.644 Prediction Error = -2.258 Percent = 16.532 Prediction Error = -2.258 Percent = 16.532 Prediction Error = -2.336 Percent = 16.39 Prediction Error = -2.336 Percent = 16.39 Prediction Error = -2.415 Percent = 16.217 Prediction Error = -2.415 Percent = 16.217 Prediction Error = -2.493 Percent = 16.015 Prediction Error = -2.493 Percent = 16.015 Prediction Error = -2.572 Percent = 15.783 Prediction Error = -2.572 Percent = 15.783 Prediction Error = -2.65 Percent = 15.523 Prediction Error = -2.65 Percent = 15.523 Prediction Error = -2.729 Percent = 15.236 Prediction Error = -2.729 Percent = 15.236 Prediction Error = -2.807 Percent = 14.924 Prediction Error = -2.807 Percent = 14.924 Prediction Error = -2.886 Percent = 14.589 Prediction Error = -2.886 Percent = 14.589 Prediction Error = -2.964 Percent = 14.232 Prediction Error = -2.964 Percent = 14.232 Prediction Error = -3.042 Percent = 13.856 Prediction Error = -3.042 Percent = 13.856 Prediction Error = -3.121 Percent = 13.462 Prediction Error = -3.121 Percent = 13.462 Prediction Error = -3.199 Percent = 13.053 Prediction Error = -3.199 Percent = 13.053 Prediction Error = -3.278 Percent = 12.632 Prediction Error = -3.278 Percent = 12.632 Prediction Error = -3.749 Percent = 9.9663 Prediction Error = -3.749 Percent = 9.9663 Prediction Error = -3.984 Percent = 8.6418 Prediction Error = -3.984 Percent = 8.6418 Prediction Error = -4.141 Percent = 7.7947 Prediction Error = -4.141 Percent = 7.7947 Prediction Error = -4.298 Percent = 6.9883 Prediction Error = -4.298 Percent = 6.9883 Prediction Error = -4.376 Percent = 6.6027 Prediction Error = -4.376 Percent = 6.6027 Prediction Error = -4.455 Percent = 6.2298 Prediction Error = -4.455 Percent = 6.2298 Prediction Error = -4.533 Percent = 5.8701 Prediction Error = -4.533 Percent = 5.8701 Prediction Error = -4.612 Percent = 5.524 Prediction Error = -4.612 Percent = 5.524 Prediction Error = -4.69 Percent = 5.1917 Prediction Error = -4.69 Percent = 5.1917 Prediction Error = -4.768 Percent = 4.8732 Prediction Error = -4.768 Percent = 4.8732 Prediction Error = -4.847 Percent = 4.5687 Prediction Error = -4.847 Percent = 4.5687 Prediction Error = -4.925 Percent = 4.2779 Prediction Error = -4.925 Percent = 4.2779 Prediction Error = -5.004 Percent = 4.0007 Prediction Error = -5.004 Percent = 4.0007 Prediction Error = -5.082 Percent = 3.737 Prediction Error = -5.082 Percent = 3.737 Prediction Error = -5.161 Percent = 3.4863 Prediction Error = -5.161 Percent = 3.4863 Prediction Error = -5.239 Percent = 3.2483 Prediction Error = -5.239 Percent = 3.2483 Prediction Error = -5.318 Percent = 3.0226 Prediction Error = -5.318 Percent = 3.0226 Prediction Error = -5.396 Percent = 2.8089 Prediction Error = -5.396 Percent = 2.8089 Prediction Error = -5.475 Percent = 2.6068 Prediction Error = -5.475 Percent = 2.6068 Prediction Error = -5.553 Percent = 2.4158 Prediction Error = -5.553 Percent = 2.4158 Prediction Error = -5.631 Percent = 2.2354 Prediction Error = -5.631 Percent = 2.2354 Prediction Error = -5.71 Percent = 2.0654 Prediction Error = -5.71 Percent = 2.0654 Prediction Error = -5.788 Percent = 1.9052 Prediction Error = -5.788 Percent = 1.9052 Prediction Error = -5.867 Percent = 1.7545 Prediction Error = -5.867 Percent = 1.7545 Prediction Error = -5.945 Percent = 1.6129 Prediction Error = -5.945 Percent = 1.6129 Prediction Error = -6.024 Percent = 1.48 Prediction Error = -6.024 Percent = 1.48 Prediction Error = -6.102 Percent = 1.3555 Prediction Error = -6.102 Percent = 1.3555 Prediction Error = -6.181 Percent = 1.2389 Prediction Error = -6.181 Percent = 1.2389 Prediction Error = -6.259 Percent = 1.1301 Prediction Error = -6.259 Percent = 1.1301 Prediction Error = -6.338 Percent = 1.0285 Prediction Error = -6.338 Percent = 1.0285 Prediction Error = -6.416 Percent = 0.934 Prediction Error = -6.416 Percent = 0.934 Prediction Error = -6.494 Percent = 0.8463 Prediction Error = -6.494 Percent = 0.8463 Prediction Error = -6.573 Percent = 0.7649 Prediction Error = -6.573 Percent = 0.7649 Prediction Error = -6.651 Percent = 0.6896 Prediction Error = -6.651 Percent = 0.6896 Prediction Error = -6.73 Percent = 0.6202 Prediction Error = -6.73 Percent = 0.6202 Prediction Error = -6.808 Percent = 0.5563 Prediction Error = -6.808 Percent = 0.5563 Prediction Error = -6.887 Percent = 0.4976 Prediction Error = -6.887 Percent = 0.4976 Prediction Error = -6.965 Percent = 0.4439 Prediction Error = -6.965 Percent = 0.4439 Prediction Error = -7.044 Percent = 0.3948 Prediction Error = -7.044 Percent = 0.3948 Prediction Error = -7.122 Percent = 0.3502 Prediction Error = -7.122 Percent = 0.3502 Prediction Error = -7.201 Percent = 0.3097 Prediction Error = -7.201 Percent = 0.3097 Prediction Error = -7.279 Percent = 0.2731 Prediction Error = -7.279 Percent = 0.2731 Prediction Error = -7.357 Percent = 0.24 Prediction Error = -7.357 Percent = 0.24 Prediction Error = -7.436 Percent = 0.2103 Prediction Error = -7.436 Percent = 0.2103 Prediction Error = -7.514 Percent = 0.1837 Prediction Error = -7.514 Percent = 0.1837 Prediction Error = -7.593 Percent = 0.16 Prediction Error = -7.593 Percent = 0.16 Prediction Error = -7.671 Percent = 0.1388 Prediction Error = -7.671 Percent = 0.1388 Prediction Error = -7.75 Percent = 0.1201 Prediction Error = -7.75 Percent = 0.1201 Prediction Error = -7.828 Percent = 0.1035 Prediction Error = -7.828 Percent = 0.1035 Prediction Error = -7.907 Percent = 0.089 Prediction Error = -7.907 Percent = 0.089 Prediction Error = -7.985 Percent = 0.0762 Prediction Error = -7.985 Percent = 0.0762 Prediction Error = -8.064 Percent = 0.065 Prediction Error = -8.064 Percent = 0.065 Prediction Error = -8.142 Percent = 0.0553 Prediction Error = -8.142 Percent = 0.0553 Prediction Error = -8.22 Percent = 0.0469 Prediction Error = 7.33 Percent = 0.2104 Prediction Error = 7.2534 Percent = 0.2303 Prediction Error = 7.2534 Percent = 0.2303 Prediction Error = 7.1768 Percent = 0.2519 Prediction Error = 7.1768 Percent = 0.2519 Prediction Error = 7.1002 Percent = 0.2752 Prediction Error = 7.1002 Percent = 0.2752 Prediction Error = 7.0236 Percent = 0.3004 Prediction Error = 7.0236 Percent = 0.3004 Prediction Error = 6.947 Percent = 0.3277 Prediction Error = 6.947 Percent = 0.3277 Prediction Error = 6.8704 Percent = 0.3571 Prediction Error = 6.8704 Percent = 0.3571 Prediction Error = 6.7938 Percent = 0.3887 Prediction Error = 6.7938 Percent = 0.3887 Prediction Error = 6.7172 Percent = 0.4228 Prediction Error = 6.7172 Percent = 0.4228 Prediction Error = 6.6406 Percent = 0.4594 Prediction Error = 6.6406 Percent = 0.4594 Prediction Error = 6.564 Percent = 0.4988 Prediction Error = 6.564 Percent = 0.4988 Prediction Error = 6.4874 Percent = 0.541 Prediction Error = 6.4874 Percent = 0.541 Prediction Error = 6.4108 Percent = 0.5863 Prediction Error = 6.4108 Percent = 0.5863 Prediction Error = 6.3342 Percent = 0.6347 Prediction Error = 6.3342 Percent = 0.6347 Prediction Error = 6.2576 Percent = 0.6866 Prediction Error = 6.2576 Percent = 0.6866 Prediction Error = 6.181 Percent = 0.742 Prediction Error = 6.181 Percent = 0.742 Prediction Error = 6.1044 Percent = 0.8011 Prediction Error = 6.1044 Percent = 0.8011 Prediction Error = 6.0278 Percent = 0.8641 Prediction Error = 6.0278 Percent = 0.8641 Prediction Error = 5.9512 Percent = 0.9313 Prediction Error = 5.9512 Percent = 0.9313 Prediction Error = 5.8746 Percent = 1.0027 Prediction Error = 5.8746 Percent = 1.0027 Prediction Error = 5.798 Percent = 1.0787 Prediction Error = 5.798 Percent = 1.0787 Prediction Error = 5.7214 Percent = 1.1593 Prediction Error = 5.7214 Percent = 1.1593 Prediction Error = 5.6448 Percent = 1.2448 Prediction Error = 5.6448 Percent = 1.2448 Prediction Error = 5.5682 Percent = 1.3354 Prediction Error = 5.5682 Percent = 1.3354 Prediction Error = 5.4916 Percent = 1.4313 Prediction Error = 5.4916 Percent = 1.4313 Prediction Error = 5.415 Percent = 1.5326 Prediction Error = 5.415 Percent = 1.5326 Prediction Error = 5.3384 Percent = 1.6396 Prediction Error = 5.3384 Percent = 1.6396 Prediction Error = 5.2618 Percent = 1.7525 Prediction Error = 5.2618 Percent = 1.7525 Prediction Error = 5.1852 Percent = 1.8714 Prediction Error = 5.1852 Percent = 1.8714 Prediction Error = 5.1086 Percent = 1.9966 Prediction Error = 5.1086 Percent = 1.9966 Prediction Error = 5.032 Percent = 2.1282 Prediction Error = 5.032 Percent = 2.1282 Prediction Error = 4.9554 Percent = 2.2663 Prediction Error = 4.9554 Percent = 2.2663 Prediction Error = 4.8788 Percent = 2.4112 Prediction Error = 4.8788 Percent = 2.4112 Prediction Error = 4.8022 Percent = 2.5631 Prediction Error = 4.8022 Percent = 2.5631 Prediction Error = 4.7256 Percent = 2.722 Prediction Error = 4.7256 Percent = 2.722 Prediction Error = 4.649 Percent = 2.888 Prediction Error = 4.649 Percent = 2.888 Prediction Error = 4.5724 Percent = 3.0615 Prediction Error = 4.5724 Percent = 3.0615 Prediction Error = 4.4958 Percent = 3.2423 Prediction Error = 4.4958 Percent = 3.2423 Prediction Error = 4.4192 Percent = 3.4307 Prediction Error = 4.4192 Percent = 3.4307 Prediction Error = 4.3426 Percent = 3.6267 Prediction Error = 4.3426 Percent = 3.6267 Prediction Error = 4.266 Percent = 3.8303 Prediction Error = 4.266 Percent = 3.8303 Prediction Error = 4.1894 Percent = 4.0417 Prediction Error = 4.1894 Percent = 4.0417 Prediction Error = 4.1128 Percent = 4.2609 Prediction Error = 4.1128 Percent = 4.2609 Prediction Error = 4.0362 Percent = 4.4878 Prediction Error = 4.0362 Percent = 4.4878 Prediction Error = 3.9596 Percent = 4.7224 Prediction Error = 3.9596 Percent = 4.7224 Prediction Error = 3.883 Percent = 4.9647 Prediction Error = 3.883 Percent = 4.9647 Prediction Error = 3.7298 Percent = 5.4723 Prediction Error = 3.7298 Percent = 5.4723 Prediction Error = 3.5766 Percent = 6.0096 Prediction Error = 3.5766 Percent = 6.0096 Prediction Error = 3.4234 Percent = 6.5755 Prediction Error = 3.4234 Percent = 6.5755 Prediction Error = 3.2702 Percent = 7.1683 Prediction Error = 3.2702 Percent = 7.1683 Prediction Error = 3.117 Percent = 7.7859 Prediction Error = 3.117 Percent = 7.7859 Prediction Error = 1.968 Percent = 12.872 Prediction Error = 1.968 Percent = 12.872 Prediction Error = 1.7382 Percent = 13.885 Prediction Error = 1.7382 Percent = 13.885 Prediction Error = 1.585 Percent = 14.538 Prediction Error = 1.585 Percent = 14.538 Prediction Error = 1.4318 Percent = 15.165 Prediction Error = 1.4318 Percent = 15.165 Prediction Error = 1.2786 Percent = 15.761 Prediction Error = 1.2786 Percent = 15.761 Prediction Error = 1.202 Percent = 16.046 Prediction Error = 1.202 Percent = 16.046 Prediction Error = 1.1254 Percent = 16.321 Prediction Error = 1.1254 Percent = 16.321 Prediction Error = 1.0488 Percent = 16.585 Prediction Error = 1.0488 Percent = 16.585 Prediction Error = 0.9722 Percent = 16.838 Prediction Error = 0.9722 Percent = 16.838 Prediction Error = 0.8956 Percent = 17.08 Prediction Error = 0.8956 Percent = 17.08 Prediction Error = 0.819 Percent = 17.309 Prediction Error = 0.819 Percent = 17.309 Prediction Error = 0.7424 Percent = 17.525 Prediction Error = 0.7424 Percent = 17.525 Prediction Error = 0.6658 Percent = 17.727 Prediction Error = 0.6658 Percent = 17.727 Prediction Error = 0.5892 Percent = 17.915 Prediction Error = 0.5892 Percent = 17.915 Prediction Error = 0.5126 Percent = 18.089 Prediction Error = 0.5126 Percent = 18.089 Prediction Error = 0.436 Percent = 18.247 Prediction Error = 0.436 Percent = 18.247 Prediction Error = 0.3594 Percent = 18.39 Prediction Error = 0.3594 Percent = 18.39 Prediction Error = 0.2828 Percent = 18.517 Prediction Error = 0.2828 Percent = 18.517 Prediction Error = 0.2062 Percent = 18.628 Prediction Error = 0.2062 Percent = 18.628 Prediction Error = 0.1296 Percent = 18.723 Prediction Error = 0.1296 Percent = 18.723 Prediction Error = 0.053 Percent = 18.8 Prediction Error = 0.053 Percent = 18.8 Prediction Error = -0.024 Percent = 18.861 Prediction Error = -0.024 Percent = 18.861 Prediction Error = -0.1 Percent = 18.904 Prediction Error = -0.1 Percent = 18.904 Prediction Error = -0.177 Percent = 18.93 Prediction Error = -0.177 Percent = 18.93 Prediction Error = -0.253 Percent = 18.939 Prediction Error = -0.253 Percent = 18.939 Prediction Error = -0.33 Percent = 18.93 Prediction Error = -0.33 Percent = 18.93 Prediction Error = -0.407 Percent = 18.904 Prediction Error = -0.407 Percent = 18.904 Prediction Error = -0.483 Percent = 18.861 Prediction Error = -0.483 Percent = 18.861 Prediction Error = -0.56 Percent = 18.8 Prediction Error = -0.56 Percent = 18.8 Prediction Error = -0.636 Percent = 18.723 Prediction Error = -0.636 Percent = 18.723 Prediction Error = -0.713 Percent = 18.628 Prediction Error = -0.713 Percent = 18.628 Prediction Error = -0.79 Percent = 18.517 Prediction Error = -0.79 Percent = 18.517 Prediction Error = -0.866 Percent = 18.39 Prediction Error = -0.866 Percent = 18.39 Prediction Error = -0.943 Percent = 18.247 Prediction Error = -0.943 Percent = 18.247 Prediction Error = -1.019 Percent = 18.089 Prediction Error = -1.019 Percent = 18.089 Prediction Error = -1.096 Percent = 17.915 Prediction Error = -1.096 Percent = 17.915 Prediction Error = -1.173 Percent = 17.727 Prediction Error = -1.173 Percent = 17.727 Prediction Error = -1.249 Percent = 17.525 Prediction Error = -1.249 Percent = 17.525 Prediction Error = -1.326 Percent = 17.309 Prediction Error = -1.326 Percent = 17.309 Prediction Error = -1.402 Percent = 17.08 Prediction Error = -1.402 Percent = 17.08 Prediction Error = -1.479 Percent = 16.838 Prediction Error = -1.479 Percent = 16.838 Prediction Error = -1.556 Percent = 16.585 Prediction Error = -1.556 Percent = 16.585 Prediction Error = -1.632 Percent = 16.321 Prediction Error = -1.632 Percent = 16.321 Prediction Error = -1.709 Percent = 16.046 Prediction Error = -1.709 Percent = 16.046 Prediction Error = -1.785 Percent = 15.761 Prediction Error = -1.785 Percent = 15.761 Prediction Error = -1.939 Percent = 15.165 Prediction Error = -1.939 Percent = 15.165 Prediction Error = -2.092 Percent = 14.538 Prediction Error = -2.092 Percent = 14.538 Prediction Error = -3.011 Percent = 10.445 Prediction Error = -3.011 Percent = 10.445 Prediction Error = -3.317 Percent = 9.0846 Prediction Error = -3.317 Percent = 9.0846 Prediction Error = -3.547 Percent = 8.1032 Prediction Error = -3.547 Percent = 8.1032 Prediction Error = -3.7 Percent = 7.4742 Prediction Error = -3.7 Percent = 7.4742 Prediction Error = -3.854 Percent = 6.8687 Prediction Error = -3.854 Percent = 6.8687 Prediction Error = -4.007 Percent = 6.2891 Prediction Error = -4.007 Percent = 6.2891 Prediction Error = -4.16 Percent = 5.7373 Prediction Error = -4.16 Percent = 5.7373 Prediction Error = -4.313 Percent = 5.2147 Prediction Error = -4.313 Percent = 5.2147 Prediction Error = -4.39 Percent = 4.9647 Prediction Error = -4.39 Percent = 4.9647 Prediction Error = -4.466 Percent = 4.7224 Prediction Error = -4.466 Percent = 4.7224 Prediction Error = -4.543 Percent = 4.4878 Prediction Error = -4.543 Percent = 4.4878 Prediction Error = -4.62 Percent = 4.2609 Prediction Error = -4.62 Percent = 4.2609 Prediction Error = -4.696 Percent = 4.0417 Prediction Error = -4.696 Percent = 4.0417 Prediction Error = -4.773 Percent = 3.8303 Prediction Error = -4.773 Percent = 3.8303 Prediction Error = -4.849 Percent = 3.6267 Prediction Error = -4.849 Percent = 3.6267 Prediction Error = -4.926 Percent = 3.4307 Prediction Error = -4.926 Percent = 3.4307 Prediction Error = -5.003 Percent = 3.2423 Prediction Error = -5.003 Percent = 3.2423 Prediction Error = -5.079 Percent = 3.0615 Prediction Error = -5.079 Percent = 3.0615 Prediction Error = -5.156 Percent = 2.888 Prediction Error = -5.156 Percent = 2.888 Prediction Error = -5.232 Percent = 2.722 Prediction Error = -5.232 Percent = 2.722 Prediction Error = -5.309 Percent = 2.5631 Prediction Error = -5.309 Percent = 2.5631 Prediction Error = -5.386 Percent = 2.4112 Prediction Error = -5.386 Percent = 2.4112 Prediction Error = -5.462 Percent = 2.2663 Prediction Error = -5.462 Percent = 2.2663 Prediction Error = -5.539 Percent = 2.1282 Prediction Error = -5.539 Percent = 2.1282 Prediction Error = -5.615 Percent = 1.9966 Prediction Error = -5.615 Percent = 1.9966 Prediction Error = -5.692 Percent = 1.8714 Prediction Error = -5.692 Percent = 1.8714 Prediction Error = -5.769 Percent = 1.7525 Prediction Error = -5.769 Percent = 1.7525 Prediction Error = -5.845 Percent = 1.6396 Prediction Error = -5.845 Percent = 1.6396 Prediction Error = -5.922 Percent = 1.5326 Prediction Error = -5.922 Percent = 1.5326 Prediction Error = -5.998 Percent = 1.4313 Prediction Error = -5.998 Percent = 1.4313 Prediction Error = -6.075 Percent = 1.3354 Prediction Error = -6.075 Percent = 1.3354 Prediction Error = -6.152 Percent = 1.2448 Prediction Error = -6.152 Percent = 1.2448 Prediction Error = -6.228 Percent = 1.1593 Prediction Error = -6.228 Percent = 1.1593 Prediction Error = -6.305 Percent = 1.0787 Prediction Error = -6.305 Percent = 1.0787 Prediction Error = -6.381 Percent = 1.0027 Prediction Error = -6.381 Percent = 1.0027 Prediction Error = -6.458 Percent = 0.9313 Prediction Error = -6.458 Percent = 0.9313 Prediction Error = -6.535 Percent = 0.8641 Prediction Error = -6.535 Percent = 0.8641 Prediction Error = -6.611 Percent = 0.8011 Prediction Error = -6.611 Percent = 0.8011 Prediction Error = -6.688 Percent = 0.742 Prediction Error = -6.688 Percent = 0.742 Prediction Error = -6.764 Percent = 0.6866 Prediction Error = -6.764 Percent = 0.6866 Prediction Error = -6.841 Percent = 0.6347 Prediction Error = -6.841 Percent = 0.6347 Prediction Error = -6.918 Percent = 0.5863 Prediction Error = -6.918 Percent = 0.5863 Prediction Error = -6.994 Percent = 0.541 Prediction Error = -6.994 Percent = 0.541 Prediction Error = -7.071 Percent = 0.4988 Prediction Error = -7.071 Percent = 0.4988 Prediction Error = -7.147 Percent = 0.4594 Prediction Error = -7.147 Percent = 0.4594 Prediction Error = -7.224 Percent = 0.4228 Prediction Error = -7.224 Percent = 0.4228 Prediction Error = -7.301 Percent = 0.3887 Prediction Error = -7.301 Percent = 0.3887 Prediction Error = -7.377 Percent = 0.3571 Prediction Error = -7.377 Percent = 0.3571 Prediction Error = -7.454 Percent = 0.3277 Prediction Error = -7.454 Percent = 0.3277 Prediction Error = -7.53 Percent = 0.3004 Prediction Error = -7.53 Percent = 0.3004 Prediction Error = -7.607 Percent = 0.2752 Prediction Error = -7.607 Percent = 0.2752 Prediction Error = -7.684 Percent = 0.2519 Prediction Error = -7.684 Percent = 0.2519 Prediction Error = -7.76 Percent = 0.2303 Prediction Error = -7.76 Percent = 0.2303 Prediction Error = -7.837 Percent = 0.2104 Prediction Error = 4.8 Percent = 1.7778 Prediction Error = 4.8 Percent = 1.7778 Prediction Error = 3.6 Percent = 9.3333 Prediction Error = 3.6 Percent = 9.3333 Prediction Error = 2.4 Percent = 19.556 Prediction Error = 2.4 Percent = 19.556 Prediction Error = 1.2 Percent = 6.2222 Prediction Error = 1.2 Percent = 6.2222 Prediction Error = 0 Percent = 11.556 Prediction Error = 0 Percent = 11.556 Prediction Error = -1.2 Percent = 17.333 Prediction Error = -1.2 Percent = 17.333 Prediction Error = -2.4 Percent = 24 Prediction Error = -2.4 Percent = 24 Prediction Error = -3.6 Percent = 6.2222 Prediction Error = -3.6 Percent = 6.2222 Prediction Error = -4.8 Percent = 4 Prediction Error = -4.8 Percent = 4 Quantile = 2.7733 Residual = 5.0384 Quantile = 2.4464 Residual = 5.0243 Quantile = 2.2684 Residual = 5.0139 Quantile = 2.1421 Residual = 5.0113 Quantile = 2.0429 Residual = 3.9684 Quantile = 1.9604 Residual = 3.9433 Quantile = 1.8895 Residual = 3.8428 Quantile = 1.827 Residual = 3.8152 Quantile = 1.7709 Residual = 3.7825 Quantile = 1.7198 Residual = 3.692 Quantile = 1.6729 Residual = 3.516 Quantile = 1.6294 Residual = 3.4773 Quantile = 1.5888 Residual = 3.4115 Quantile = 1.5507 Residual = 3.4041 Quantile = 1.5147 Residual = 3.4003 Quantile = 1.4805 Residual = 3.3909 Quantile = 1.448 Residual = 3.276 Quantile = 1.417 Residual = 3.2531 Quantile = 1.3872 Residual = 3.2338 Quantile = 1.3587 Residual = 3.1834 Quantile = 1.3312 Residual = 3.1577 Quantile = 1.3047 Residual = 3.1368 Quantile = 1.279 Residual = 3.1279 Quantile = 1.2542 Residual = 3.0715 Quantile = 1.2301 Residual = 3.0257 Quantile = 1.2068 Residual = 2.9983 Quantile = 1.184 Residual = 2.9956 Quantile = 1.1619 Residual = 2.992 Quantile = 1.1403 Residual = 2.9665 Quantile = 1.1192 Residual = 2.9061 Quantile = 1.0987 Residual = 2.9 Quantile = 1.0785 Residual = 2.89 Quantile = 1.0588 Residual = 2.875 Quantile = 1.0395 Residual = 2.8515 Quantile = 1.0206 Residual = 2.8312 Quantile = 1.0021 Residual = 2.7954 Quantile = 0.9838 Residual = 2.7831 Quantile = 0.9659 Residual = 2.7815 Quantile = 0.9483 Residual = 2.7755 Quantile = 0.931 Residual = 2.7252 Quantile = 0.914 Residual = 2.7083 Quantile = 0.8972 Residual = 2.6926 Quantile = 0.8807 Residual = 2.6865 Quantile = 0.8644 Residual = 2.6647 Quantile = 0.8484 Residual = 2.6523 Quantile = 0.8325 Residual = 2.625 Quantile = 0.8169 Residual = 2.5889 Quantile = 0.8015 Residual = 2.5534 Quantile = 0.7862 Residual = 2.5347 Quantile = 0.7711 Residual = 2.5318 Quantile = 0.7562 Residual = 2.5111 Quantile = 0.7415 Residual = 2.5102 Quantile = 0.7269 Residual = 2.5098 Quantile = 0.7125 Residual = 2.5097 Quantile = 0.6983 Residual = 2.4428 Quantile = 0.6841 Residual = 2.4367 Quantile = 0.6701 Residual = 2.4182 Quantile = 0.6563 Residual = 2.3631 Quantile = 0.6425 Residual = 2.3478 Quantile = 0.6289 Residual = 2.2726 Quantile = 0.6154 Residual = 2.2115 Quantile = 0.602 Residual = 2.1653 Quantile = 0.5887 Residual = 2.0844 Quantile = 0.5755 Residual = 2.0744 Quantile = 0.5625 Residual = 1.8666 Quantile = 0.5495 Residual = 1.8663 Quantile = 0.5366 Residual = 1.8518 Quantile = 0.5238 Residual = 1.8112 Quantile = 0.511 Residual = 1.8106 Quantile = 0.4984 Residual = 1.6494 Quantile = 0.4858 Residual = 1.6445 Quantile = 0.4734 Residual = 1.5397 Quantile = 0.4609 Residual = 1.481 Quantile = 0.4486 Residual = 1.3864 Quantile = 0.4363 Residual = 1.379 Quantile = 0.4241 Residual = 1.2751 Quantile = 0.412 Residual = 1.2491 Quantile = 0.3999 Residual = 1.0372 Quantile = 0.3879 Residual = 1.0106 Quantile = 0.3759 Residual = 0.8754 Quantile = 0.364 Residual = 0.8643 Quantile = 0.3521 Residual = 0.8502 Quantile = 0.3403 Residual = 0.6715 Quantile = 0.3285 Residual = 0.5227 Quantile = 0.3168 Residual = 0.5093 Quantile = 0.3051 Residual = 0.3812 Quantile = 0.2935 Residual = 0.3592 Quantile = 0.2819 Residual = 0.3491 Quantile = 0.2703 Residual = 0.3016 Quantile = 0.2588 Residual = 0.1291 Quantile = 0.2473 Residual = 0.0562 Quantile = 0.2359 Residual = 0.0422 Quantile = 0.2244 Residual = 0.0174 Quantile = 0.213 Residual = 0.0126 Quantile = 0.2017 Residual = 0.0104 Quantile = 0.1903 Residual = 0.01 Quantile = 0.179 Residual = 0.0087 Quantile = 0.1677 Residual = 0.0075 Quantile = 0.1564 Residual = -4E-16 Quantile = 0.1452 Residual = -0.004 Quantile = 0.1339 Residual = -0.011 Quantile = 0.1227 Residual = -0.126 Quantile = 0.1115 Residual = -0.184 Quantile = 0.1003 Residual = -0.246 Quantile = 0.0891 Residual = -0.286 Quantile = 0.078 Residual = -0.352 Quantile = 0.0668 Residual = -0.377 Quantile = 0.0557 Residual = -0.484 Quantile = 0.0445 Residual = -0.535 Quantile = 0.0334 Residual = -0.626 Quantile = 0.0223 Residual = -0.656 Quantile = 0.0111 Residual = -0.747 Quantile = 0 Residual = -0.814 Quantile = -0.011 Residual = -0.903 Quantile = -0.022 Residual = -0.977 Quantile = -0.033 Residual = -1.007 Quantile = -0.045 Residual = -1.022 Quantile = -0.056 Residual = -1.091 Quantile = -0.067 Residual = -1.121 Quantile = -0.078 Residual = -1.144 Quantile = -0.089 Residual = -1.172 Quantile = -0.1 Residual = -1.189 Quantile = -0.112 Residual = -1.313 Quantile = -0.123 Residual = -1.334 Quantile = -0.134 Residual = -1.345 Quantile = -0.145 Residual = -1.363 Quantile = -0.156 Residual = -1.381 Quantile = -0.168 Residual = -1.441 Quantile = -0.179 Residual = -1.455 Quantile = -0.19 Residual = -1.474 Quantile = -0.202 Residual = -1.507 Quantile = -0.213 Residual = -1.536 Quantile = -0.224 Residual = -1.575 Quantile = -0.236 Residual = -1.595 Quantile = -0.247 Residual = -1.627 Quantile = -0.259 Residual = -1.628 Quantile = -0.27 Residual = -1.638 Quantile = -0.282 Residual = -1.668 Quantile = -0.293 Residual = -1.681 Quantile = -0.305 Residual = -1.684 Quantile = -0.317 Residual = -1.691 Quantile = -0.329 Residual = -1.707 Quantile = -0.34 Residual = -1.708 Quantile = -0.352 Residual = -1.718 Quantile = -0.364 Residual = -1.763 Quantile = -0.376 Residual = -1.766 Quantile = -0.388 Residual = -1.782 Quantile = -0.4 Residual = -1.79 Quantile = -0.412 Residual = -1.846 Quantile = -0.424 Residual = -1.86 Quantile = -0.436 Residual = -1.894 Quantile = -0.449 Residual = -1.905 Quantile = -0.461 Residual = -1.906 Quantile = -0.473 Residual = -1.961 Quantile = -0.486 Residual = -1.981 Quantile = -0.498 Residual = -2.053 Quantile = -0.511 Residual = -2.096 Quantile = -0.524 Residual = -2.174 Quantile = -0.537 Residual = -2.186 Quantile = -0.549 Residual = -2.194 Quantile = -0.562 Residual = -2.222 Quantile = -0.576 Residual = -2.252 Quantile = -0.589 Residual = -2.252 Quantile = -0.602 Residual = -2.259 Quantile = -0.615 Residual = -2.276 Quantile = -0.629 Residual = -2.278 Quantile = -0.643 Residual = -2.293 Quantile = -0.656 Residual = -2.314 Quantile = -0.67 Residual = -2.319 Quantile = -0.684 Residual = -2.335 Quantile = -0.698 Residual = -2.351 Quantile = -0.713 Residual = -2.401 Quantile = -0.727 Residual = -2.435 Quantile = -0.742 Residual = -2.486 Quantile = -0.756 Residual = -2.487 Quantile = -0.771 Residual = -2.495 Quantile = -0.786 Residual = -2.499 Quantile = -0.801 Residual = -2.501 Quantile = -0.817 Residual = -2.501 Quantile = -0.833 Residual = -2.52 Quantile = -0.848 Residual = -2.542 Quantile = -0.864 Residual = -2.555 Quantile = -0.881 Residual = -2.583 Quantile = -0.897 Residual = -2.604 Quantile = -0.914 Residual = -2.606 Quantile = -0.931 Residual = -2.633 Quantile = -0.948 Residual = -2.644 Quantile = -0.966 Residual = -2.654 Quantile = -0.984 Residual = -2.703 Quantile = -1.002 Residual = -2.726 Quantile = -1.021 Residual = -2.753 Quantile = -1.04 Residual = -2.762 Quantile = -1.059 Residual = -2.776 Quantile = -1.079 Residual = -2.848 Quantile = -1.099 Residual = -2.874 Quantile = -1.119 Residual = -2.912 Quantile = -1.14 Residual = -2.913 Quantile = -1.162 Residual = -2.919 Quantile = -1.184 Residual = -2.946 Quantile = -1.207 Residual = -2.974 Quantile = -1.23 Residual = -2.989 Quantile = -1.254 Residual = -2.998 Quantile = -1.279 Residual = -3.099 Quantile = -1.305 Residual = -3.111 Quantile = -1.331 Residual = -3.266 Quantile = -1.359 Residual = -3.281 Quantile = -1.387 Residual = -3.286 Quantile = -1.417 Residual = -3.301 Quantile = -1.448 Residual = -3.317 Quantile = -1.481 Residual = -3.344 Quantile = -1.515 Residual = -3.375 Quantile = -1.551 Residual = -3.641 Quantile = -1.589 Residual = -3.648 Quantile = -1.629 Residual = -3.798 Quantile = -1.673 Residual = -3.814 Quantile = -1.72 Residual = -4.003 Quantile = -1.771 Residual = -4.29 Quantile = -1.827 Residual = -4.307 Quantile = -1.89 Residual = -4.675 Quantile = -1.96 Residual = -4.978 Quantile = -2.043 Residual = -4.984 Quantile = -2.142 Residual = -4.994 Quantile = -2.268 Residual = -5 Quantile = -2.446 Residual = -5.001 Quantile = -2.773 Residual = -5.004 Slope = 2.5278 Y = -0.253 Lag = 24 ACF = -0.016 Lag = 23 ACF = 0.0579 Lag = 22 ACF = 0.0865 Lag = 21 ACF = 0.0149 Lag = 20 ACF = 0.0604 Lag = 19 ACF = -0.04 Lag = 18 ACF = -0.082 Lag = 17 ACF = 0.0062 Lag = 16 ACF = -0.144 Lag = 15 ACF = -0.068 Lag = 14 ACF = -0.136 Lag = 13 ACF = -0.108 Lag = 12 ACF = -0.091 Lag = 11 ACF = -0.114 Lag = 10 ACF = 0.0022 Lag = 9 ACF = -0.098 Lag = 8 ACF = -42E-5 Lag = 7 ACF = -0.032 Lag = 6 ACF = -0.115 Lag = 5 ACF = -0.038 Lag = 4 ACF = 0.0992 Lag = 3 ACF = 0.0784 Lag = 2 ACF = 0.0738 Lag = 1 ACF = 0.1149 Lag = 0 ACF = 1 Lag = 24 Lower = -0.153 Upper = 0.1532 Lag = 23 Lower = -0.153 Upper = 0.1528 Lag = 23 Lower = -0.153 Upper = 0.1528 Lag = 22 Lower = -0.152 Upper = 0.1519 Lag = 22 Lower = -0.152 Upper = 0.1519 Lag = 21 Lower = -0.152 Upper = 0.1519 Lag = 21 Lower = -0.152 Upper = 0.1519 Lag = 20 Lower = -0.151 Upper = 0.1515 Lag = 20 Lower = -0.151 Upper = 0.1515 Lag = 19 Lower = -0.151 Upper = 0.1513 Lag = 19 Lower = -0.151 Upper = 0.1513 Lag = 18 Lower = -0.15 Upper = 0.1505 Lag = 18 Lower = -0.15 Upper = 0.1505 Lag = 17 Lower = -0.15 Upper = 0.1505 Lag = 17 Lower = -0.15 Upper = 0.1505 Lag = 16 Lower = -0.148 Upper = 0.148 Lag = 16 Lower = -0.148 Upper = 0.148 Lag = 15 Lower = -0.147 Upper = 0.1474 Lag = 15 Lower = -0.147 Upper = 0.1474 Lag = 14 Lower = -0.145 Upper = 0.1452 Lag = 14 Lower = -0.145 Upper = 0.1452 Lag = 13 Lower = -0.144 Upper = 0.1437 Lag = 13 Lower = -0.144 Upper = 0.1437 Lag = 12 Lower = -0.143 Upper = 0.1427 Lag = 12 Lower = -0.143 Upper = 0.1427 Lag = 11 Lower = -0.141 Upper = 0.1411 Lag = 11 Lower = -0.141 Upper = 0.1411 Lag = 10 Lower = -0.141 Upper = 0.1411 Lag = 10 Lower = -0.141 Upper = 0.1411 Lag = 9 Lower = -0.14 Upper = 0.1399 Lag = 9 Lower = -0.14 Upper = 0.1399 Lag = 8 Lower = -0.14 Upper = 0.1399 Lag = 8 Lower = -0.14 Upper = 0.1399 Lag = 7 Lower = -0.14 Upper = 0.1398 Lag = 7 Lower = -0.14 Upper = 0.1398 Lag = 6 Lower = -0.138 Upper = 0.1381 Lag = 6 Lower = -0.138 Upper = 0.1381 Lag = 5 Lower = -0.138 Upper = 0.1379 Lag = 5 Lower = -0.138 Upper = 0.1379 Lag = 4 Lower = -0.137 Upper = 0.1366 Lag = 4 Lower = -0.137 Upper = 0.1366 Lag = 3 Lower = -0.136 Upper = 0.1358 Lag = 3 Lower = -0.136 Upper = 0.1358 Lag = 2 Lower = -0.135 Upper = 0.1351 Lag = 2 Lower = -0.135 Upper = 0.1351 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = -0.088 Lag = 23 PACF = 0.0077 Lag = 22 PACF = 0.0612 Lag = 21 PACF = -0.025 Lag = 20 PACF = 0.0415 Lag = 19 PACF = -0.041 Lag = 18 PACF = -0.099 Lag = 17 PACF = 0.0334 Lag = 16 PACF = -0.114 Lag = 15 PACF = -0.023 Lag = 14 PACF = -0.112 Lag = 13 PACF = -0.073 Lag = 12 PACF = -0.083 Lag = 11 PACF = -0.121 Lag = 10 PACF = 0.0435 Lag = 9 PACF = -0.073 Lag = 8 PACF = 0.0188 Lag = 7 PACF = -0.015 Lag = 6 PACF = -0.124 Lag = 5 PACF = -0.067 Lag = 4 PACF = 0.0813 Lag = 3 PACF = 0.0645 Lag = 2 PACF = 0.0614 Lag = 1 PACF = 0.1149 Lag = 24 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Aug2019 Loess Fit = -1.26 Date_of_death = Jul2019 Loess Fit = -1.125 Date_of_death = Jul2019 Loess Fit = -1.125 Date_of_death = Jun2019 Loess Fit = -0.99 Date_of_death = Jun2019 Loess Fit = -0.99 Date_of_death = May2019 Loess Fit = -0.867 Date_of_death = May2019 Loess Fit = -0.867 Date_of_death = Apr2019 Loess Fit = -0.773 Date_of_death = Apr2019 Loess Fit = -0.773 Date_of_death = Mar2019 Loess Fit = -0.694 Date_of_death = Mar2019 Loess Fit = -0.694 Date_of_death = Feb2019 Loess Fit = -0.629 Date_of_death = Feb2019 Loess Fit = -0.629 Date_of_death = Jan2019 Loess Fit = -0.56 Date_of_death = Jan2019 Loess Fit = -0.56 Date_of_death = Dec2018 Loess Fit = -0.491 Date_of_death = Dec2018 Loess Fit = -0.491 Date_of_death = Oct2018 Loess Fit = -0.429 Date_of_death = Oct2018 Loess Fit = -0.429 Date_of_death = Sep2018 Loess Fit = -0.456 Date_of_death = Sep2018 Loess Fit = -0.456 Date_of_death = Aug2018 Loess Fit = -0.517 Date_of_death = Aug2018 Loess Fit = -0.517 Date_of_death = Jul2018 Loess Fit = -0.659 Date_of_death = Jul2018 Loess Fit = -0.659 Date_of_death = Jun2018 Loess Fit = -0.7 Date_of_death = Jun2018 Loess Fit = -0.7 Date_of_death = May2018 Loess Fit = -0.628 Date_of_death = May2018 Loess Fit = -0.628 Date_of_death = Apr2018 Loess Fit = -0.556 Date_of_death = Apr2018 Loess Fit = -0.556 Date_of_death = Mar2018 Loess Fit = -0.378 Date_of_death = Mar2018 Loess Fit = -0.378 Date_of_death = Jan2018 Loess Fit = -0.175 Date_of_death = Jan2018 Loess Fit = -0.175 Date_of_death = Dec2017 Loess Fit = -0.011 Date_of_death = Dec2017 Loess Fit = -0.011 Date_of_death = Nov2017 Loess Fit = 0.151 Date_of_death = Nov2017 Loess Fit = 0.151 Date_of_death = Oct2017 Loess Fit = 0.3032 Date_of_death = Oct2017 Loess Fit = 0.3032 Date_of_death = Sep2017 Loess Fit = 0.4554 Date_of_death = Sep2017 Loess Fit = 0.4554 Date_of_death = Aug2017 Loess Fit = 0.5204 Date_of_death = Aug2017 Loess Fit = 0.5204 Date_of_death = Jul2017 Loess Fit = 0.5229 Date_of_death = Jul2017 Loess Fit = 0.5229 Date_of_death = Jun2017 Loess Fit = 0.3577 Date_of_death = Jun2017 Loess Fit = 0.3577 Date_of_death = May2017 Loess Fit = 0.1407 Date_of_death = May2017 Loess Fit = 0.1407 Date_of_death = Mar2017 Loess Fit = -0.019 Date_of_death = Mar2017 Loess Fit = -0.019 Date_of_death = Feb2017 Loess Fit = -0.177 Date_of_death = Feb2017 Loess Fit = -0.177 Date_of_death = Jan2017 Loess Fit = -0.325 Date_of_death = Jan2017 Loess Fit = -0.325 Date_of_death = Dec2016 Loess Fit = -0.455 Date_of_death = Dec2016 Loess Fit = -0.455 Date_of_death = Nov2016 Loess Fit = -0.651 Date_of_death = Nov2016 Loess Fit = -0.651 Date_of_death = Oct2016 Loess Fit = -0.903 Date_of_death = Oct2016 Loess Fit = -0.903 Date_of_death = Sep2016 Loess Fit = -0.987 Date_of_death = Sep2016 Loess Fit = -0.987 Date_of_death = Aug2016 Loess Fit = -1.017 Date_of_death = Aug2016 Loess Fit = -1.017 Date_of_death = Jun2016 Loess Fit = -1.031 Date_of_death = Jun2016 Loess Fit = -1.031 Date_of_death = May2016 Loess Fit = -0.79 Date_of_death = May2016 Loess Fit = -0.79 Date_of_death = Apr2016 Loess Fit = -0.563 Date_of_death = Apr2016 Loess Fit = -0.563 Date_of_death = Mar2016 Loess Fit = -0.378 Date_of_death = Mar2016 Loess Fit = -0.378 Date_of_death = Feb2016 Loess Fit = -0.266 Date_of_death = Feb2016 Loess Fit = -0.266 Date_of_death = Jan2016 Loess Fit = -0.237 Date_of_death = Jan2016 Loess Fit = -0.237 Date_of_death = Dec2015 Loess Fit = -0.207 Date_of_death = Dec2015 Loess Fit = -0.207 Date_of_death = Nov2015 Loess Fit = -0.246 Date_of_death = Nov2015 Loess Fit = -0.246 Date_of_death = Sep2015 Loess Fit = -0.304 Date_of_death = Sep2015 Loess Fit = -0.304 Date_of_death = Aug2015 Loess Fit = -0.447 Date_of_death = Aug2015 Loess Fit = -0.447 Date_of_death = Jul2015 Loess Fit = -0.574 Date_of_death = Jul2015 Loess Fit = -0.574 Date_of_death = Jun2015 Loess Fit = -0.64 Date_of_death = Jun2015 Loess Fit = -0.64 Date_of_death = May2015 Loess Fit = -0.706 Date_of_death = May2015 Loess Fit = -0.706 Date_of_death = Apr2015 Loess Fit = -0.677 Date_of_death = Apr2015 Loess Fit = -0.677 Date_of_death = Mar2015 Loess Fit = -0.561 Date_of_death = Mar2015 Loess Fit = -0.561 Date_of_death = Feb2015 Loess Fit = -0.335 Date_of_death = Feb2015 Loess Fit = -0.335 Date_of_death = Dec2014 Loess Fit = -0.07 Date_of_death = Dec2014 Loess Fit = -0.07 Date_of_death = Nov2014 Loess Fit = 0.1969 Date_of_death = Nov2014 Loess Fit = 0.1969 Date_of_death = Oct2014 Loess Fit = 0.4636 Date_of_death = Oct2014 Loess Fit = 0.4636 Date_of_death = Sep2014 Loess Fit = 0.66 Date_of_death = Sep2014 Loess Fit = 0.66 Date_of_death = Aug2014 Loess Fit = 0.6984 Date_of_death = Aug2014 Loess Fit = 0.6984 Date_of_death = Jul2014 Loess Fit = 0.6015 Date_of_death = Jul2014 Loess Fit = 0.6015 Date_of_death = Jun2014 Loess Fit = 0.3789 Date_of_death = Jun2014 Loess Fit = 0.3789 Date_of_death = May2014 Loess Fit = 0.0941 Date_of_death = May2014 Loess Fit = 0.0941 Date_of_death = Apr2014 Loess Fit = -0.214 Date_of_death = Apr2014 Loess Fit = -0.214 Date_of_death = Feb2014 Loess Fit = -0.519 Date_of_death = Feb2014 Loess Fit = -0.519 Date_of_death = Jan2014 Loess Fit = -0.748 Date_of_death = Jan2014 Loess Fit = -0.748 Date_of_death = Dec2013 Loess Fit = -0.924 Date_of_death = Dec2013 Loess Fit = -0.924 Date_of_death = Nov2013 Loess Fit = -0.978 Date_of_death = Nov2013 Loess Fit = -0.978 Date_of_death = Oct2013 Loess Fit = -0.939 Date_of_death = Oct2013 Loess Fit = -0.939 Date_of_death = Sep2013 Loess Fit = -0.811 Date_of_death = Sep2013 Loess Fit = -0.811 Date_of_death = Aug2013 Loess Fit = -0.683 Date_of_death = Aug2013 Loess Fit = -0.683 Date_of_death = Jul2013 Loess Fit = -0.444 Date_of_death = Jul2013 Loess Fit = -0.444 Date_of_death = May2013 Loess Fit = -0.181 Date_of_death = May2013 Loess Fit = -0.181 Date_of_death = Apr2013 Loess Fit = -0.034 Date_of_death = Apr2013 Loess Fit = -0.034 Date_of_death = Mar2013 Loess Fit = 0.0827 Date_of_death = Mar2013 Loess Fit = 0.0827 Date_of_death = Feb2013 Loess Fit = 0.0952 Date_of_death = Feb2013 Loess Fit = 0.0952 Date_of_death = Jan2013 Loess Fit = 0.1077 Date_of_death = Jan2013 Loess Fit = 0.1077 Date_of_death = Dec2012 Loess Fit = 0.0498 Date_of_death = Dec2012 Loess Fit = 0.0498 Date_of_death = Nov2012 Loess Fit = -0.057 Date_of_death = Nov2012 Loess Fit = -0.057 Date_of_death = Oct2012 Loess Fit = -0.199 Date_of_death = Oct2012 Loess Fit = -0.199 Date_of_death = Aug2012 Loess Fit = -0.348 Date_of_death = Aug2012 Loess Fit = -0.348 Date_of_death = Jul2012 Loess Fit = -0.376 Date_of_death = Jul2012 Loess Fit = -0.376 Date_of_death = Jun2012 Loess Fit = -0.403 Date_of_death = Jun2012 Loess Fit = -0.403 Date_of_death = May2012 Loess Fit = -0.42 Date_of_death = May2012 Loess Fit = -0.42 Date_of_death = Apr2012 Loess Fit = -0.415 Date_of_death = Apr2012 Loess Fit = -0.415 Date_of_death = Mar2012 Loess Fit = -0.466 Date_of_death = Mar2012 Loess Fit = -0.466 Date_of_death = Feb2012 Loess Fit = -0.567 Date_of_death = Feb2012 Loess Fit = -0.567 Date_of_death = Jan2012 Loess Fit = -0.657 Date_of_death = Jan2012 Loess Fit = -0.657 Date_of_death = Dec2011 Loess Fit = -0.743 Date_of_death = Dec2011 Loess Fit = -0.743 Date_of_death = Oct2011 Loess Fit = -0.827 Date_of_death = Oct2011 Loess Fit = -0.827 Date_of_death = Sep2011 Loess Fit = -0.883 Date_of_death = Sep2011 Loess Fit = -0.883 Date_of_death = Aug2011 Loess Fit = -0.945 Date_of_death = Aug2011 Loess Fit = -0.945 Date_of_death = Jul2011 Loess Fit = -1.026 Date_of_death = Jul2011 Loess Fit = -1.026 Date_of_death = Jun2011 Loess Fit = -0.986 Date_of_death = Jun2011 Loess Fit = -0.986 Date_of_death = May2011 Loess Fit = -0.8 Date_of_death = May2011 Loess Fit = -0.8 Date_of_death = Apr2011 Loess Fit = -0.614 Date_of_death = Apr2011 Loess Fit = -0.614 Date_of_death = Mar2011 Loess Fit = -0.294 Date_of_death = Mar2011 Loess Fit = -0.294 Date_of_death = Jan2011 Loess Fit = 0.0613 Date_of_death = Jan2011 Loess Fit = 0.0613 Date_of_death = Dec2010 Loess Fit = 0.3759 Date_of_death = Dec2010 Loess Fit = 0.3759 Date_of_death = Nov2010 Loess Fit = 0.68 Date_of_death = Nov2010 Loess Fit = 0.68 Date_of_death = Oct2010 Loess Fit = 0.95 Date_of_death = Oct2010 Loess Fit = 0.95 Date_of_death = Sep2010 Loess Fit = 1.2201 Date_of_death = Sep2010 Loess Fit = 1.2201 Date_of_death = Aug2010 Loess Fit = 1.466 Date_of_death = Aug2010 Loess Fit = 1.466 Date_of_death = Jul2010 Loess Fit = 1.6932 Date_of_death = Jul2010 Loess Fit = 1.6932 Date_of_death = Jun2010 Loess Fit = 1.7728 Date_of_death = Jun2010 Loess Fit = 1.7728 Date_of_death = May2010 Loess Fit = 1.802 Date_of_death = May2010 Loess Fit = 1.802 Date_of_death = Mar2010 Loess Fit = 1.567 Date_of_death = Mar2010 Loess Fit = 1.567 Date_of_death = Feb2010 Loess Fit = 1.3197 Date_of_death = Feb2010 Loess Fit = 1.3197 Date_of_death = Jan2010 Loess Fit = 1.0258 Date_of_death = Jan2010 Loess Fit = 1.0258 Date_of_death = Dec2009 Loess Fit = 0.6431 Date_of_death = Dec2009 Loess Fit = 0.6431 Date_of_death = Nov2009 Loess Fit = 0.2507 Date_of_death = Nov2009 Loess Fit = 0.2507 Date_of_death = Oct2009 Loess Fit = -0.15 Date_of_death = Oct2009 Loess Fit = -0.15 Date_of_death = Sep2009 Loess Fit = -0.5 Date_of_death = Sep2009 Loess Fit = -0.5 Date_of_death = Aug2009 Loess Fit = -0.832 Date_of_death = Aug2009 Loess Fit = -0.832 Date_of_death = Jun2009 Loess Fit = -1.153 Date_of_death = Jun2009 Loess Fit = -1.153 Date_of_death = May2009 Loess Fit = -1.192 Date_of_death = May2009 Loess Fit = -1.192 Date_of_death = Apr2009 Loess Fit = -1.187 Date_of_death = Apr2009 Loess Fit = -1.187 Date_of_death = Mar2009 Loess Fit = -1.051 Date_of_death = Mar2009 Loess Fit = -1.051 Date_of_death = Feb2009 Loess Fit = -0.87 Date_of_death = Feb2009 Loess Fit = -0.87 Date_of_death = Jan2009 Loess Fit = -0.638 Date_of_death = Jan2009 Loess Fit = -0.638 Date_of_death = Dec2008 Loess Fit = -0.405 Date_of_death = Dec2008 Loess Fit = -0.405 Date_of_death = Nov2008 Loess Fit = -0.083 Date_of_death = Nov2008 Loess Fit = -0.083 Date_of_death = Sep2008 Loess Fit = 0.2574 Date_of_death = Sep2008 Loess Fit = 0.2574 Date_of_death = Aug2008 Loess Fit = 0.5422 Date_of_death = Aug2008 Loess Fit = 0.5422 Date_of_death = Jul2008 Loess Fit = 0.7711 Date_of_death = Jul2008 Loess Fit = 0.7711 Date_of_death = Jun2008 Loess Fit = 0.8216 Date_of_death = Jun2008 Loess Fit = 0.8216 Date_of_death = May2008 Loess Fit = 0.872 Date_of_death = May2008 Loess Fit = 0.872 Date_of_death = Apr2008 Loess Fit = 0.8 Date_of_death = Apr2008 Loess Fit = 0.8 Date_of_death = Mar2008 Loess Fit = 0.6234 Date_of_death = Mar2008 Loess Fit = 0.6234 Date_of_death = Feb2008 Loess Fit = 0.3204 Date_of_death = Feb2008 Loess Fit = 0.3204 Date_of_death = Jan2008 Loess Fit = -0.025 Date_of_death = Jan2008 Loess Fit = -0.025 Date_of_death = Nov2007 Loess Fit = -0.528 Date_of_death = Nov2007 Loess Fit = -0.528 Date_of_death = Oct2007 Loess Fit = -1.033 Date_of_death = Oct2007 Loess Fit = -1.033 Date_of_death = Sep2007 Loess Fit = -1.508 Date_of_death = Sep2007 Loess Fit = -1.508 Date_of_death = Aug2007 Loess Fit = -1.911 Date_of_death = Aug2007 Loess Fit = -1.911 Date_of_death = Jul2007 Loess Fit = -2.213 Date_of_death = Jul2007 Loess Fit = -2.213 Date_of_death = Jun2007 Loess Fit = -2.415 Date_of_death = Jun2007 Loess Fit = -2.415 Date_of_death = May2007 Loess Fit = -2.416 Date_of_death = May2007 Loess Fit = -2.416 Date_of_death = Apr2007 Loess Fit = -2.336 Date_of_death = Apr2007 Loess Fit = -2.336 Date_of_death = Feb2007 Loess Fit = -2.254 Date_of_death = Feb2007 Loess Fit = -2.254 Date_of_death = Jan2007 Loess Fit = -2.046 Date_of_death = Jan2007 Loess Fit = -2.046 Date_of_death = Dec2006 Loess Fit = -1.824 Date_of_death = Dec2006 Loess Fit = -1.824 Date_of_death = Nov2006 Loess Fit = -1.565 Date_of_death = Nov2006 Loess Fit = -1.565 Date_of_death = Oct2006 Loess Fit = -1.274 Date_of_death = Oct2006 Loess Fit = -1.274 Date_of_death = Sep2006 Loess Fit = -0.949 Date_of_death = Sep2006 Loess Fit = -0.949 Date_of_death = Aug2006 Loess Fit = -0.623 Date_of_death = Aug2006 Loess Fit = -0.623 Date_of_death = Jul2006 Loess Fit = -0.238 Date_of_death = Jul2006 Loess Fit = -0.238 Date_of_death = May2006 Loess Fit = 0.162 Date_of_death = May2006 Loess Fit = 0.162 Date_of_death = Apr2006 Loess Fit = 0.6016 Date_of_death = Apr2006 Loess Fit = 0.6016 Date_of_death = Mar2006 Loess Fit = 1.0256 Date_of_death = Mar2006 Loess Fit = 1.0256 Date_of_death = Feb2006 Loess Fit = 1.3919 Date_of_death = Feb2006 Loess Fit = 1.3919 Date_of_death = Jan2006 Loess Fit = 1.7582 Date_of_death = Jan2006 Loess Fit = 1.7582 Date_of_death = Dec2005 Loess Fit = 1.9608 Date_of_death = Dec2005 Loess Fit = 1.9608 Date_of_death = Nov2005 Loess Fit = 2.0407 Date_of_death = Nov2005 Loess Fit = 2.0407 Date_of_death = Oct2005 Loess Fit = 1.8808 Date_of_death = Oct2005 Loess Fit = 1.8808 Date_of_death = Sep2005 Loess Fit = 1.6542 Date_of_death = Sep2005 Loess Fit = 1.6542 Date_of_death = Jul2005 Loess Fit = 1.2116 Date_of_death = Jul2005 Loess Fit = 1.2116 Date_of_death = Jun2005 Loess Fit = 0.7675 Date_of_death = Jun2005 Loess Fit = 0.7675 Date_of_death = May2005 Loess Fit = 0.357 Date_of_death = May2005 Loess Fit = 0.357 Date_of_death = Apr2005 Loess Fit = 0.0275 Date_of_death = Apr2005 Loess Fit = 0.0275 Date_of_death = Mar2005 Loess Fit = -0.255 Date_of_death = Mar2005 Loess Fit = -0.255 Date_of_death = Feb2005 Loess Fit = -0.49 Date_of_death = Feb2005 Loess Fit = -0.49 Date_of_death = Jan2005 Loess Fit = -0.61 Date_of_death = Jan2005 Loess Fit = -0.61 Date_of_death = Dec2004 Loess Fit = -0.697 Date_of_death = Dec2004 Loess Fit = -0.697 Date_of_death = Oct2004 Loess Fit = -0.76 Date_of_death = Oct2004 Loess Fit = -0.76 Date_of_death = Sep2004 Loess Fit = -0.536 Date_of_death = Sep2004 Loess Fit = -0.536 Date_of_death = Aug2004 Loess Fit = -0.289 Date_of_death = Aug2004 Loess Fit = -0.289 Date_of_death = Jul2004 Loess Fit = 0.0116 Date_of_death = Jul2004 Loess Fit = 0.0116 Date_of_death = Jun2004 Loess Fit = 0.2206 Date_of_death = Jun2004 Loess Fit = 0.2206 Date_of_death = May2004 Loess Fit = 0.3238 Date_of_death = May2004 Loess Fit = 0.3238 Date_of_death = Apr2004 Loess Fit = 0.427 Date_of_death = Apr2004 Loess Fit = 0.427 Date_of_death = Mar2004 Loess Fit = 0.4056 Date_of_death = Mar2004 Loess Fit = 0.4056 Date_of_death = Jan2004 Loess Fit = 0.3529 Date_of_death = Jan2004 Loess Fit = 0.3529 Date_of_death = Dec2003 Loess Fit = 0.3205 Date_of_death = Dec2003 Loess Fit = 0.3205 Date_of_death = Nov2003 Loess Fit = 0.264 Date_of_death = Nov2003 Loess Fit = 0.264 Date_of_death = Oct2003 Loess Fit = 0.1203 Date_of_death = Oct2003 Loess Fit = 0.1203 Date_of_death = Sep2003 Loess Fit = -0.023 Date_of_death = Sep2003 Loess Fit = -0.023 Date_of_death = Aug2003 Loess Fit = -0.23 Date_of_death = Aug2003 Loess Fit = -0.23 Date_of_death = Jul2003 Loess Fit = -0.489 Date_of_death = Jul2003 Loess Fit = -0.489 Date_of_death = Jun2003 Loess Fit = -0.607 Date_of_death = Jun2003 Loess Fit = -0.607 Date_of_death = May2003 Loess Fit = -0.672 Date_of_death = May2003 Loess Fit = -0.672 Date_of_death = Mar2003 Loess Fit = -0.653 Date_of_death = Mar2003 Loess Fit = -0.653 Date_of_death = Feb2003 Loess Fit = -0.629 Date_of_death = Feb2003 Loess Fit = -0.629 Date_of_death = Jan2003 Loess Fit = -0.642 Date_of_death = Jan2003 Loess Fit = -0.642 Date_of_death = Dec2002 Loess Fit = -0.734 Date_of_death = Dec2002 Loess Fit = -0.734 Date_of_death = Nov2002 Loess Fit = -0.79 Date_of_death = Nov2002 Loess Fit = -0.79 Date_of_death = Oct2002 Loess Fit = -0.811 Date_of_death = Oct2002 Loess Fit = -0.811 Date_of_death = Sep2002 Loess Fit = -0.744 Date_of_death = Sep2002 Loess Fit = -0.744 Date_of_death = Aug2002 Loess Fit = -0.642 Date_of_death = Aug2002 Loess Fit = -0.642 Date_of_death = Jun2002 Loess Fit = -0.542 Date_of_death = Jun2002 Loess Fit = -0.542 Date_of_death = May2002 Loess Fit = -0.486 Date_of_death = May2002 Loess Fit = -0.486 Date_of_death = Apr2002 Loess Fit = -0.442 Date_of_death = Apr2002 Loess Fit = -0.442 Date_of_death = Mar2002 Loess Fit = -0.437 Date_of_death = Mar2002 Loess Fit = -0.437 Date_of_death = Feb2002 Loess Fit = -0.425 Date_of_death = Feb2002 Loess Fit = -0.425 Date_of_death = Jan2002 Loess Fit = -0.404 Date_of_death = Jan2002 Loess Fit = -0.404 Date_of_death = Dec2001 Loess Fit = -0.384 Date_of_death = Dec2001 Loess Fit = -0.384 Date_of_death = Nov2001 Loess Fit = -0.373 Date_of_death = Nov2001 Loess Fit = -0.373 Date_of_death = Sep2001 Loess Fit = -0.364 Date_of_death = Sep2001 Loess Fit = -0.364 Date_of_death = Aug2001 Loess Fit = -0.396 Date_of_death = Aug2001 Loess Fit = -0.396 Date_of_death = Jul2001 Loess Fit = -0.432 Date_of_death = Jul2001 Loess Fit = -0.432 Date_of_death = Jun2001 Loess Fit = -0.478 Date_of_death = Jun2001 Loess Fit = -0.478 Date_of_death = May2001 Loess Fit = -0.517 Date_of_death = May2001 Loess Fit = -0.517 Date_of_death = Apr2001 Loess Fit = -0.544 Date_of_death = Apr2001 Loess Fit = -0.544 Date_of_death = Mar2001 Loess Fit = -0.57 Date_of_death = Mar2001 Loess Fit = -0.57 Date_of_death = Feb2001 Loess Fit = -0.594 Date_of_death = Feb2001 Loess Fit = -0.594 Date_of_death = Jan2001 Loess Fit = -0.622 Date_of_death = Sep2019 Prediction Error = -1.091 Date_of_death = Aug2019 Prediction Error = -1.536 Date_of_death = Jul2019 Prediction Error = -1.507 Date_of_death = Jun2019 Prediction Error = -0.352 Date_of_death = May2019 Prediction Error = -2.874 Date_of_death = Apr2019 Prediction Error = -2.174 Date_of_death = Mar2019 Prediction Error = -0.656 Date_of_death = Feb2019 Prediction Error = 3.516 Date_of_death = Jan2019 Prediction Error = 3.4773 Date_of_death = Dec2018 Prediction Error = -1.905 Date_of_death = Nov2018 Prediction Error = -0.126 Date_of_death = Oct2018 Prediction Error = -1.313 Date_of_death = Sep2018 Prediction Error = -2.351 Date_of_death = Aug2018 Prediction Error = 0.3812 Date_of_death = Jul2018 Prediction Error = -2.776 Date_of_death = Jun2018 Prediction Error = -2.654 Date_of_death = May2018 Prediction Error = 2.1653 Date_of_death = Apr2018 Prediction Error = 0.8502 Date_of_death = Mar2018 Prediction Error = -1.79 Date_of_death = Feb2018 Prediction Error = -1.707 Date_of_death = Jan2018 Prediction Error = 0.3016 Date_of_death = Dec2017 Prediction Error = -2.222 Date_of_death = Nov2017 Prediction Error = 2.89 Date_of_death = Oct2017 Prediction Error = 3.8428 Date_of_death = Sep2017 Prediction Error = -1.474 Date_of_death = Aug2017 Prediction Error = 0.3592 Date_of_death = Jul2017 Prediction Error = -1.906 Date_of_death = Jun2017 Prediction Error = 2.5534 Date_of_death = May2017 Prediction Error = 2.3631 Date_of_death = Apr2017 Prediction Error = 3.1279 Date_of_death = Mar2017 Prediction Error = -1.782 Date_of_death = Feb2017 Prediction Error = -1.691 Date_of_death = Jan2017 Prediction Error = -1.718 Date_of_death = Dec2016 Prediction Error = -2.278 Date_of_death = Nov2016 Prediction Error = -2.252 Date_of_death = Oct2016 Prediction Error = -1.334 Date_of_death = Sep2016 Prediction Error = 2.6523 Date_of_death = Aug2016 Prediction Error = 0.3491 Date_of_death = Jul2016 Prediction Error = -0.977 Date_of_death = Jun2016 Prediction Error = -1.627 Date_of_death = May2016 Prediction Error = -2.989 Date_of_death = Apr2016 Prediction Error = -2.276 Date_of_death = Mar2016 Prediction Error = -2.186 Date_of_death = Feb2016 Prediction Error = -2.096 Date_of_death = Jan2016 Prediction Error = 3.276 Date_of_death = Dec2015 Prediction Error = 2.7815 Date_of_death = Nov2015 Prediction Error = 2.9 Date_of_death = Oct2015 Prediction Error = -1.455 Date_of_death = Sep2015 Prediction Error = 2.7954 Date_of_death = Aug2015 Prediction Error = -0.747 Date_of_death = Jul2015 Prediction Error = -3.266 Date_of_death = Jun2015 Prediction Error = -2.913 Date_of_death = May2015 Prediction Error = -3.301 Date_of_death = Apr2015 Prediction Error = -2.542 Date_of_death = Mar2015 Prediction Error = -1.363 Date_of_death = Feb2015 Prediction Error = -2.335 Date_of_death = Jan2015 Prediction Error = 3.3909 Date_of_death = Dec2014 Prediction Error = 2.875 Date_of_death = Nov2014 Prediction Error = 2.9983 Date_of_death = Oct2014 Prediction Error = 0.5093 Date_of_death = Sep2014 Prediction Error = -1.441 Date_of_death = Aug2014 Prediction Error = 3.4041 Date_of_death = Jul2014 Prediction Error = 1.8666 Date_of_death = Jun2014 Prediction Error = -3.111 Date_of_death = May2014 Prediction Error = -1.345 Date_of_death = Apr2014 Prediction Error = 2.7755 Date_of_death = Mar2014 Prediction Error = 0.8643 Date_of_death = Feb2014 Prediction Error = -2.314 Date_of_death = Jan2014 Prediction Error = -0.535 Date_of_death = Dec2013 Prediction Error = -2.259 Date_of_death = Nov2013 Prediction Error = -1.121 Date_of_death = Oct2013 Prediction Error = -1.684 Date_of_death = Sep2013 Prediction Error = -2.726 Date_of_death = Aug2013 Prediction Error = -0.814 Date_of_death = Jul2013 Prediction Error = -3.641 Date_of_death = Jun2013 Prediction Error = 1.8518 Date_of_death = May2013 Prediction Error = 1.6494 Date_of_death = Apr2013 Prediction Error = 2.8515 Date_of_death = Mar2013 Prediction Error = -2.495 Date_of_death = Feb2013 Prediction Error = 2.7831 Date_of_death = Jan2013 Prediction Error = 3.692 Date_of_death = Dec2012 Prediction Error = -0.286 Date_of_death = Nov2012 Prediction Error = -2.319 Date_of_death = Oct2012 Prediction Error = -1.846 Date_of_death = Sep2012 Prediction Error = -2.974 Date_of_death = Aug2012 Prediction Error = -0.903 Date_of_death = Jul2012 Prediction Error = 1.5397 Date_of_death = Jun2012 Prediction Error = 2.0744 Date_of_death = May2012 Prediction Error = -3.648 Date_of_death = Apr2012 Prediction Error = -2.435 Date_of_death = Mar2012 Prediction Error = 2.6926 Date_of_death = Feb2012 Prediction Error = 2.992 Date_of_death = Jan2012 Prediction Error = 0.6715 Date_of_death = Dec2011 Prediction Error = -2.606 Date_of_death = Nov2011 Prediction Error = -2.644 Date_of_death = Oct2011 Prediction Error = -1.022 Date_of_death = Sep2011 Prediction Error = -3.344 Date_of_death = Aug2011 Prediction Error = -2.194 Date_of_death = Jul2011 Prediction Error = -1.766 Date_of_death = Jun2011 Prediction Error = 2.0844 Date_of_death = May2011 Prediction Error = 1.379 Date_of_death = Apr2011 Prediction Error = -2.753 Date_of_death = Mar2011 Prediction Error = -2.703 Date_of_death = Feb2011 Prediction Error = 3.0715 Date_of_death = Jan2011 Prediction Error = -1.681 Date_of_death = Dec2010 Prediction Error = -3.099 Date_of_death = Nov2010 Prediction Error = 2.4367 Date_of_death = Oct2010 Prediction Error = 3.1834 Date_of_death = Sep2010 Prediction Error = 1.8106 Date_of_death = Aug2010 Prediction Error = 3.1577 Date_of_death = Jul2010 Prediction Error = 1.481 Date_of_death = Jun2010 Prediction Error = 2.4182 Date_of_death = May2010 Prediction Error = 1.6445 Date_of_death = Apr2010 Prediction Error = 2.6865 Date_of_death = Mar2010 Prediction Error = 2.8312 Date_of_death = Feb2010 Prediction Error = -1.894 Date_of_death = Jan2010 Prediction Error = 3.9684 Date_of_death = Dec2009 Prediction Error = 2.5102 Date_of_death = Nov2009 Prediction Error = -2.52 Date_of_death = Oct2009 Prediction Error = -1.763 Date_of_death = Sep2009 Prediction Error = 2.2726 Date_of_death = Aug2009 Prediction Error = -1.86 Date_of_death = Jul2009 Prediction Error = -3.798 Date_of_death = Jun2009 Prediction Error = -1.708 Date_of_death = May2009 Prediction Error = -0.377 Date_of_death = Apr2009 Prediction Error = -2.633 Date_of_death = Mar2009 Prediction Error = -2.555 Date_of_death = Feb2009 Prediction Error = -2.252 Date_of_death = Jan2009 Prediction Error = -1.381 Date_of_death = Dec2008 Prediction Error = 2.5889 Date_of_death = Nov2008 Prediction Error = 2.625 Date_of_death = Oct2008 Prediction Error = 0.1291 Date_of_death = Sep2008 Prediction Error = -1.007 Date_of_death = Aug2008 Prediction Error = -1.144 Date_of_death = Jul2008 Prediction Error = 1.2491 Date_of_death = Jun2008 Prediction Error = 2.5347 Date_of_death = May2008 Prediction Error = 1.8112 Date_of_death = Apr2008 Prediction Error = 2.7252 Date_of_death = Mar2008 Prediction Error = -1.668 Date_of_death = Feb2008 Prediction Error = 3.2531 Date_of_death = Jan2008 Prediction Error = -0.246 Date_of_death = Dec2007 Prediction Error = 3.1368 Date_of_death = Nov2007 Prediction Error = -2.604 Date_of_death = Oct2007 Prediction Error = -2.053 Date_of_death = Sep2007 Prediction Error = -3.375 Date_of_death = Aug2007 Prediction Error = -2.401 Date_of_death = Jul2007 Prediction Error = -4.307 Date_of_death = Jun2007 Prediction Error = -2.912 Date_of_death = May2007 Prediction Error = -3.814 Date_of_death = Apr2007 Prediction Error = -2.848 Date_of_death = Mar2007 Prediction Error = -3.317 Date_of_death = Feb2007 Prediction Error = -1.189 Date_of_death = Jan2007 Prediction Error = -0.626 Date_of_death = Dec2006 Prediction Error = -2.583 Date_of_death = Nov2006 Prediction Error = 2.4428 Date_of_death = Oct2006 Prediction Error = -1.575 Date_of_death = Sep2006 Prediction Error = -4.29 Date_of_death = Aug2006 Prediction Error = -1.981 Date_of_death = Jul2006 Prediction Error = 0.5227 Date_of_death = Jun2006 Prediction Error = 2.2115 Date_of_death = May2006 Prediction Error = -4.675 Date_of_death = Apr2006 Prediction Error = 2.3478 Date_of_death = Mar2006 Prediction Error = 1.8663 Date_of_death = Feb2006 Prediction Error = 3.2338 Date_of_death = Jan2006 Prediction Error = 3.9433 Date_of_death = Dec2005 Prediction Error = 2.9665 Date_of_death = Nov2005 Prediction Error = 2.9956 Date_of_death = Oct2005 Prediction Error = 3.0257 Date_of_death = Sep2005 Prediction Error = 1.0372 Date_of_death = Aug2005 Prediction Error = 2.6647 Date_of_death = Jul2005 Prediction Error = 0.8754 Date_of_death = Jun2005 Prediction Error = 2.9061 Date_of_death = May2005 Prediction Error = -2.919 Date_of_death = Apr2005 Prediction Error = -2.946 Date_of_death = Mar2005 Prediction Error = 0.0562 Date_of_death = Feb2005 Prediction Error = -1.961 Date_of_death = Jan2005 Prediction Error = -1.172 Date_of_death = Dec2004 Prediction Error = -2.499 Date_of_death = Nov2004 Prediction Error = 3.7825 Date_of_death = Oct2004 Prediction Error = -2.486 Date_of_death = Sep2004 Prediction Error = 1.2751 Date_of_death = Aug2004 Prediction Error = -2.998 Date_of_death = Jul2004 Prediction Error = 1.0106 Date_of_death = Jun2004 Prediction Error = -2.762 Date_of_death = May2004 Prediction Error = -0.011 Date_of_death = Apr2004 Prediction Error = 2.5098 Date_of_death = Mar2004 Prediction Error = 2.5318 Date_of_death = Feb2004 Prediction Error = 3.8152 Date_of_death = Jan2004 Prediction Error = -0.184 Date_of_death = Dec2003 Prediction Error = 3.4115 Date_of_death = Nov2003 Prediction Error = -1.595 Date_of_death = Oct2003 Prediction Error = -3.281 Date_of_death = Sep2003 Prediction Error = -4.978 Date_of_death = Aug2003 Prediction Error = 2.7083 Date_of_death = Jul2003 Prediction Error = 1.3864 Date_of_death = Jun2003 Prediction Error = -2.293 Date_of_death = May2003 Prediction Error = 0.0422 Date_of_death = Apr2003 Prediction Error = 3.4003 Date_of_death = Mar2003 Prediction Error = -3.286 Date_of_death = Feb2003 Prediction Error = -1.628 Date_of_death = Jan2003 Prediction Error = -1.638 Date_of_death = Dec2002 Prediction Error = -2.487 Date_of_death = Nov2002 Prediction Error = 5.0384 Date_of_death = Oct2002 Prediction Error = -4.984 Date_of_death = Sep2002 Prediction Error = 0.0174 Date_of_death = Aug2002 Prediction Error = -0.484 Date_of_death = Jul2002 Prediction Error = -4.003 Date_of_death = Jun2002 Prediction Error = 2.5097 Date_of_death = May2002 Prediction Error = 0.0104 Date_of_death = Apr2002 Prediction Error = -2.501 Date_of_death = Mar2002 Prediction Error = 2.5111 Date_of_death = Feb2002 Prediction Error = -2.501 Date_of_death = Jan2002 Prediction Error = 5.0243 Date_of_death = Dec2001 Prediction Error = -4.994 Date_of_death = Nov2001 Prediction Error = 0.0075 Date_of_death = Oct2001 Prediction Error = 0.0087 Date_of_death = Sep2001 Prediction Error = 0.01 Date_of_death = Aug2001 Prediction Error = -5.004 Date_of_death = Jul2001 Prediction Error = -0.004 Date_of_death = Jun2001 Prediction Error = 5.0113 Date_of_death = May2001 Prediction Error = 0.0126 Date_of_death = Apr2001 Prediction Error = -5.001 Date_of_death = Mar2001 Prediction Error = 5.0139 Date_of_death = Feb2001 Prediction Error = -5 Date_of_death = Jan2001 Prediction Error = -4E-16 Date_of_death = Sep2019 2*STD = 4.7501 -2*STD = -4.75 Date_of_death = Aug2019 2*STD = 4.7501 -2*STD = -4.75 Date_of_death = Aug2019 2*STD = 4.7501 -2*STD = -4.75 Date_of_death = Jul2019 2*STD = 4.7502 -2*STD = -4.75 Date_of_death = Jul2019 2*STD = 4.7502 -2*STD = -4.75 Date_of_death = Jun2019 2*STD = 4.7502 -2*STD = -4.75 Date_of_death = Jun2019 2*STD = 4.7502 -2*STD = -4.75 Date_of_death = May2019 2*STD = 4.7502 -2*STD = -4.75 Date_of_death = May2019 2*STD = 4.7502 -2*STD = -4.75 Date_of_death = Apr2019 2*STD = 4.7503 -2*STD = -4.75 Date_of_death = Apr2019 2*STD = 4.7503 -2*STD = -4.75 Date_of_death = Mar2019 2*STD = 4.7503 -2*STD = -4.75 Date_of_death = Mar2019 2*STD = 4.7503 -2*STD = -4.75 Date_of_death = Feb2019 2*STD = 4.7504 -2*STD = -4.75 Date_of_death = Feb2019 2*STD = 4.7504 -2*STD = -4.75 Date_of_death = Jan2019 2*STD = 4.7504 -2*STD = -4.75 Date_of_death = Jan2019 2*STD = 4.7504 -2*STD = -4.75 Date_of_death = Dec2018 2*STD = 4.756 -2*STD = -4.756 Date_of_death = Dec2018 2*STD = 4.756 -2*STD = -4.756 Date_of_death = Nov2018 2*STD = 4.7561 -2*STD = -4.756 Date_of_death = Nov2018 2*STD = 4.7561 -2*STD = -4.756 Date_of_death = Oct2018 2*STD = 4.7561 -2*STD = -4.756 Date_of_death = Oct2018 2*STD = 4.7561 -2*STD = -4.756 Date_of_death = Sep2018 2*STD = 4.7561 -2*STD = -4.756 Date_of_death = Sep2018 2*STD = 4.7561 -2*STD = -4.756 Date_of_death = Aug2018 2*STD = 4.7562 -2*STD = -4.756 Date_of_death = Aug2018 2*STD = 4.7562 -2*STD = -4.756 Date_of_death = Jul2018 2*STD = 4.7562 -2*STD = -4.756 Date_of_death = Jul2018 2*STD = 4.7562 -2*STD = -4.756 Date_of_death = Jun2018 2*STD = 4.7562 -2*STD = -4.756 Date_of_death = Jun2018 2*STD = 4.7562 -2*STD = -4.756 Date_of_death = May2018 2*STD = 4.7563 -2*STD = -4.756 Date_of_death = May2018 2*STD = 4.7563 -2*STD = -4.756 Date_of_death = Apr2018 2*STD = 4.7563 -2*STD = -4.756 Date_of_death = Apr2018 2*STD = 4.7563 -2*STD = -4.756 Date_of_death = Mar2018 2*STD = 4.7564 -2*STD = -4.756 Date_of_death = Mar2018 2*STD = 4.7564 -2*STD = -4.756 Date_of_death = Feb2018 2*STD = 4.7565 -2*STD = -4.756 Date_of_death = Feb2018 2*STD = 4.7565 -2*STD = -4.756 Date_of_death = Jan2018 2*STD = 4.7565 -2*STD = -4.757 Date_of_death = Jan2018 2*STD = 4.7565 -2*STD = -4.757 Date_of_death = Dec2017 2*STD = 4.7628 -2*STD = -4.763 Date_of_death = Dec2017 2*STD = 4.7628 -2*STD = -4.763 Date_of_death = Nov2017 2*STD = 4.7628 -2*STD = -4.763 Date_of_death = Nov2017 2*STD = 4.7628 -2*STD = -4.763 Date_of_death = Oct2017 2*STD = 4.7628 -2*STD = -4.763 Date_of_death = Oct2017 2*STD = 4.7628 -2*STD = -4.763 Date_of_death = Sep2017 2*STD = 4.7629 -2*STD = -4.763 Date_of_death = Sep2017 2*STD = 4.7629 -2*STD = -4.763 Date_of_death = Aug2017 2*STD = 4.7629 -2*STD = -4.763 Date_of_death = Aug2017 2*STD = 4.7629 -2*STD = -4.763 Date_of_death = Jul2017 2*STD = 4.7629 -2*STD = -4.763 Date_of_death = Jul2017 2*STD = 4.7629 -2*STD = -4.763 Date_of_death = Jun2017 2*STD = 4.763 -2*STD = -4.763 Date_of_death = Jun2017 2*STD = 4.763 -2*STD = -4.763 Date_of_death = May2017 2*STD = 4.763 -2*STD = -4.763 Date_of_death = May2017 2*STD = 4.763 -2*STD = -4.763 Date_of_death = Apr2017 2*STD = 4.7631 -2*STD = -4.763 Date_of_death = Apr2017 2*STD = 4.7631 -2*STD = -4.763 Date_of_death = Mar2017 2*STD = 4.7632 -2*STD = -4.763 Date_of_death = Mar2017 2*STD = 4.7632 -2*STD = -4.763 Date_of_death = Feb2017 2*STD = 4.7632 -2*STD = -4.763 Date_of_death = Feb2017 2*STD = 4.7632 -2*STD = -4.763 Date_of_death = Jan2017 2*STD = 4.7633 -2*STD = -4.763 Date_of_death = Jan2017 2*STD = 4.7633 -2*STD = -4.763 Date_of_death = Dec2016 2*STD = 4.7703 -2*STD = -4.77 Date_of_death = Dec2016 2*STD = 4.7703 -2*STD = -4.77 Date_of_death = Nov2016 2*STD = 4.7704 -2*STD = -4.77 Date_of_death = Nov2016 2*STD = 4.7704 -2*STD = -4.77 Date_of_death = Oct2016 2*STD = 4.7704 -2*STD = -4.77 Date_of_death = Oct2016 2*STD = 4.7704 -2*STD = -4.77 Date_of_death = Sep2016 2*STD = 4.7704 -2*STD = -4.77 Date_of_death = Sep2016 2*STD = 4.7704 -2*STD = -4.77 Date_of_death = Aug2016 2*STD = 4.7705 -2*STD = -4.77 Date_of_death = Aug2016 2*STD = 4.7705 -2*STD = -4.77 Date_of_death = Jul2016 2*STD = 4.7705 -2*STD = -4.771 Date_of_death = Jul2016 2*STD = 4.7705 -2*STD = -4.771 Date_of_death = Jun2016 2*STD = 4.7706 -2*STD = -4.771 Date_of_death = Jun2016 2*STD = 4.7706 -2*STD = -4.771 Date_of_death = May2016 2*STD = 4.7706 -2*STD = -4.771 Date_of_death = May2016 2*STD = 4.7706 -2*STD = -4.771 Date_of_death = Apr2016 2*STD = 4.7707 -2*STD = -4.771 Date_of_death = Apr2016 2*STD = 4.7707 -2*STD = -4.771 Date_of_death = Mar2016 2*STD = 4.7707 -2*STD = -4.771 Date_of_death = Mar2016 2*STD = 4.7707 -2*STD = -4.771 Date_of_death = Feb2016 2*STD = 4.7708 -2*STD = -4.771 Date_of_death = Feb2016 2*STD = 4.7708 -2*STD = -4.771 Date_of_death = Jan2016 2*STD = 4.7709 -2*STD = -4.771 Date_of_death = Jan2016 2*STD = 4.7709 -2*STD = -4.771 Date_of_death = Dec2015 2*STD = 4.7789 -2*STD = -4.779 Date_of_death = Dec2015 2*STD = 4.7789 -2*STD = -4.779 Date_of_death = Nov2015 2*STD = 4.7789 -2*STD = -4.779 Date_of_death = Nov2015 2*STD = 4.7789 -2*STD = -4.779 Date_of_death = Oct2015 2*STD = 4.779 -2*STD = -4.779 Date_of_death = Oct2015 2*STD = 4.779 -2*STD = -4.779 Date_of_death = Sep2015 2*STD = 4.779 -2*STD = -4.779 Date_of_death = Sep2015 2*STD = 4.779 -2*STD = -4.779 Date_of_death = Aug2015 2*STD = 4.7791 -2*STD = -4.779 Date_of_death = Aug2015 2*STD = 4.7791 -2*STD = -4.779 Date_of_death = Jul2015 2*STD = 4.7791 -2*STD = -4.779 Date_of_death = Jul2015 2*STD = 4.7791 -2*STD = -4.779 Date_of_death = Jun2015 2*STD = 4.7792 -2*STD = -4.779 Date_of_death = Jun2015 2*STD = 4.7792 -2*STD = -4.779 Date_of_death = May2015 2*STD = 4.7792 -2*STD = -4.779 Date_of_death = May2015 2*STD = 4.7792 -2*STD = -4.779 Date_of_death = Apr2015 2*STD = 4.7793 -2*STD = -4.779 Date_of_death = Apr2015 2*STD = 4.7793 -2*STD = -4.779 Date_of_death = Mar2015 2*STD = 4.7793 -2*STD = -4.779 Date_of_death = Mar2015 2*STD = 4.7793 -2*STD = -4.779 Date_of_death = Feb2015 2*STD = 4.7794 -2*STD = -4.779 Date_of_death = Feb2015 2*STD = 4.7794 -2*STD = -4.779 Date_of_death = Jan2015 2*STD = 4.7795 -2*STD = -4.779 Date_of_death = Jan2015 2*STD = 4.7795 -2*STD = -4.779 Date_of_death = Dec2014 2*STD = 4.7887 -2*STD = -4.789 Date_of_death = Dec2014 2*STD = 4.7887 -2*STD = -4.789 Date_of_death = Nov2014 2*STD = 4.7887 -2*STD = -4.789 Date_of_death = Nov2014 2*STD = 4.7887 -2*STD = -4.789 Date_of_death = Oct2014 2*STD = 4.7887 -2*STD = -4.789 Date_of_death = Oct2014 2*STD = 4.7887 -2*STD = -4.789 Date_of_death = Sep2014 2*STD = 4.7888 -2*STD = -4.789 Date_of_death = Sep2014 2*STD = 4.7888 -2*STD = -4.789 Date_of_death = Aug2014 2*STD = 4.7888 -2*STD = -4.789 Date_of_death = Aug2014 2*STD = 4.7888 -2*STD = -4.789 Date_of_death = Jul2014 2*STD = 4.7889 -2*STD = -4.789 Date_of_death = Jul2014 2*STD = 4.7889 -2*STD = -4.789 Date_of_death = Jun2014 2*STD = 4.7889 -2*STD = -4.789 Date_of_death = Jun2014 2*STD = 4.7889 -2*STD = -4.789 Date_of_death = May2014 2*STD = 4.789 -2*STD = -4.789 Date_of_death = May2014 2*STD = 4.789 -2*STD = -4.789 Date_of_death = Apr2014 2*STD = 4.7891 -2*STD = -4.789 Date_of_death = Apr2014 2*STD = 4.7891 -2*STD = -4.789 Date_of_death = Mar2014 2*STD = 4.7891 -2*STD = -4.789 Date_of_death = Mar2014 2*STD = 4.7891 -2*STD = -4.789 Date_of_death = Feb2014 2*STD = 4.7892 -2*STD = -4.789 Date_of_death = Feb2014 2*STD = 4.7892 -2*STD = -4.789 Date_of_death = Jan2014 2*STD = 4.7893 -2*STD = -4.789 Date_of_death = Jan2014 2*STD = 4.7893 -2*STD = -4.789 Date_of_death = Dec2013 2*STD = 4.7999 -2*STD = -4.8 Date_of_death = Dec2013 2*STD = 4.7999 -2*STD = -4.8 Date_of_death = Nov2013 2*STD = 4.8 -2*STD = -4.8 Date_of_death = Nov2013 2*STD = 4.8 -2*STD = -4.8 Date_of_death = Oct2013 2*STD = 4.8 -2*STD = -4.8 Date_of_death = Oct2013 2*STD = 4.8 -2*STD = -4.8 Date_of_death = Sep2013 2*STD = 4.8001 -2*STD = -4.8 Date_of_death = Sep2013 2*STD = 4.8001 -2*STD = -4.8 Date_of_death = Aug2013 2*STD = 4.8001 -2*STD = -4.8 Date_of_death = Aug2013 2*STD = 4.8001 -2*STD = -4.8 Date_of_death = Jul2013 2*STD = 4.8002 -2*STD = -4.8 Date_of_death = Jul2013 2*STD = 4.8002 -2*STD = -4.8 Date_of_death = Jun2013 2*STD = 4.8002 -2*STD = -4.8 Date_of_death = Jun2013 2*STD = 4.8002 -2*STD = -4.8 Date_of_death = May2013 2*STD = 4.8003 -2*STD = -4.8 Date_of_death = May2013 2*STD = 4.8003 -2*STD = -4.8 Date_of_death = Apr2013 2*STD = 4.8004 -2*STD = -4.8 Date_of_death = Apr2013 2*STD = 4.8004 -2*STD = -4.8 Date_of_death = Mar2013 2*STD = 4.8004 -2*STD = -4.8 Date_of_death = Mar2013 2*STD = 4.8004 -2*STD = -4.8 Date_of_death = Feb2013 2*STD = 4.8005 -2*STD = -4.801 Date_of_death = Feb2013 2*STD = 4.8005 -2*STD = -4.801 Date_of_death = Jan2013 2*STD = 4.8006 -2*STD = -4.801 Date_of_death = Jan2013 2*STD = 4.8006 -2*STD = -4.801 Date_of_death = Dec2012 2*STD = 4.813 -2*STD = -4.813 Date_of_death = Dec2012 2*STD = 4.813 -2*STD = -4.813 Date_of_death = Nov2012 2*STD = 4.8131 -2*STD = -4.813 Date_of_death = Nov2012 2*STD = 4.8131 -2*STD = -4.813 Date_of_death = Oct2012 2*STD = 4.8131 -2*STD = -4.813 Date_of_death = Oct2012 2*STD = 4.8131 -2*STD = -4.813 Date_of_death = Sep2012 2*STD = 4.8132 -2*STD = -4.813 Date_of_death = Sep2012 2*STD = 4.8132 -2*STD = -4.813 Date_of_death = Aug2012 2*STD = 4.8132 -2*STD = -4.813 Date_of_death = Aug2012 2*STD = 4.8132 -2*STD = -4.813 Date_of_death = Jul2012 2*STD = 4.8133 -2*STD = -4.813 Date_of_death = Jul2012 2*STD = 4.8133 -2*STD = -4.813 Date_of_death = Jun2012 2*STD = 4.8133 -2*STD = -4.813 Date_of_death = Jun2012 2*STD = 4.8133 -2*STD = -4.813 Date_of_death = May2012 2*STD = 4.8134 -2*STD = -4.813 Date_of_death = May2012 2*STD = 4.8134 -2*STD = -4.813 Date_of_death = Apr2012 2*STD = 4.8135 -2*STD = -4.813 Date_of_death = Apr2012 2*STD = 4.8135 -2*STD = -4.813 Date_of_death = Mar2012 2*STD = 4.8136 -2*STD = -4.814 Date_of_death = Mar2012 2*STD = 4.8136 -2*STD = -4.814 Date_of_death = Feb2012 2*STD = 4.8137 -2*STD = -4.814 Date_of_death = Feb2012 2*STD = 4.8137 -2*STD = -4.814 Date_of_death = Jan2012 2*STD = 4.8138 -2*STD = -4.814 Date_of_death = Jan2012 2*STD = 4.8138 -2*STD = -4.814 Date_of_death = Dec2011 2*STD = 4.8285 -2*STD = -4.829 Date_of_death = Dec2011 2*STD = 4.8285 -2*STD = -4.829 Date_of_death = Nov2011 2*STD = 4.8286 -2*STD = -4.829 Date_of_death = Nov2011 2*STD = 4.8286 -2*STD = -4.829 Date_of_death = Oct2011 2*STD = 4.8286 -2*STD = -4.829 Date_of_death = Oct2011 2*STD = 4.8286 -2*STD = -4.829 Date_of_death = Sep2011 2*STD = 4.8287 -2*STD = -4.829 Date_of_death = Sep2011 2*STD = 4.8287 -2*STD = -4.829 Date_of_death = Aug2011 2*STD = 4.8287 -2*STD = -4.829 Date_of_death = Aug2011 2*STD = 4.8287 -2*STD = -4.829 Date_of_death = Jul2011 2*STD = 4.8288 -2*STD = -4.829 Date_of_death = Jul2011 2*STD = 4.8288 -2*STD = -4.829 Date_of_death = Jun2011 2*STD = 4.8288 -2*STD = -4.829 Date_of_death = Jun2011 2*STD = 4.8288 -2*STD = -4.829 Date_of_death = May2011 2*STD = 4.8289 -2*STD = -4.829 Date_of_death = May2011 2*STD = 4.8289 -2*STD = -4.829 Date_of_death = Apr2011 2*STD = 4.829 -2*STD = -4.829 Date_of_death = Apr2011 2*STD = 4.829 -2*STD = -4.829 Date_of_death = Mar2011 2*STD = 4.8291 -2*STD = -4.829 Date_of_death = Mar2011 2*STD = 4.8291 -2*STD = -4.829 Date_of_death = Feb2011 2*STD = 4.8292 -2*STD = -4.829 Date_of_death = Feb2011 2*STD = 4.8292 -2*STD = -4.829 Date_of_death = Jan2011 2*STD = 4.8293 -2*STD = -4.829 Date_of_death = Jan2011 2*STD = 4.8293 -2*STD = -4.829 Date_of_death = Dec2010 2*STD = 4.8471 -2*STD = -4.847 Date_of_death = Dec2010 2*STD = 4.8471 -2*STD = -4.847 Date_of_death = Nov2010 2*STD = 4.8471 -2*STD = -4.847 Date_of_death = Nov2010 2*STD = 4.8471 -2*STD = -4.847 Date_of_death = Oct2010 2*STD = 4.8472 -2*STD = -4.847 Date_of_death = Oct2010 2*STD = 4.8472 -2*STD = -4.847 Date_of_death = Sep2010 2*STD = 4.8472 -2*STD = -4.847 Date_of_death = Sep2010 2*STD = 4.8472 -2*STD = -4.847 Date_of_death = Aug2010 2*STD = 4.8473 -2*STD = -4.847 Date_of_death = Aug2010 2*STD = 4.8473 -2*STD = -4.847 Date_of_death = Jul2010 2*STD = 4.8473 -2*STD = -4.847 Date_of_death = Jul2010 2*STD = 4.8473 -2*STD = -4.847 Date_of_death = Jun2010 2*STD = 4.8474 -2*STD = -4.847 Date_of_death = Jun2010 2*STD = 4.8474 -2*STD = -4.847 Date_of_death = May2010 2*STD = 4.8475 -2*STD = -4.847 Date_of_death = May2010 2*STD = 4.8475 -2*STD = -4.847 Date_of_death = Apr2010 2*STD = 4.8476 -2*STD = -4.848 Date_of_death = Apr2010 2*STD = 4.8476 -2*STD = -4.848 Date_of_death = Mar2010 2*STD = 4.8476 -2*STD = -4.848 Date_of_death = Mar2010 2*STD = 4.8476 -2*STD = -4.848 Date_of_death = Feb2010 2*STD = 4.8477 -2*STD = -4.848 Date_of_death = Feb2010 2*STD = 4.8477 -2*STD = -4.848 Date_of_death = Jan2010 2*STD = 4.8478 -2*STD = -4.848 Date_of_death = Jan2010 2*STD = 4.8478 -2*STD = -4.848 Date_of_death = Dec2009 2*STD = 4.8697 -2*STD = -4.87 Date_of_death = Dec2009 2*STD = 4.8697 -2*STD = -4.87 Date_of_death = Nov2009 2*STD = 4.8698 -2*STD = -4.87 Date_of_death = Nov2009 2*STD = 4.8698 -2*STD = -4.87 Date_of_death = Oct2009 2*STD = 4.8698 -2*STD = -4.87 Date_of_death = Oct2009 2*STD = 4.8698 -2*STD = -4.87 Date_of_death = Sep2009 2*STD = 4.8699 -2*STD = -4.87 Date_of_death = Sep2009 2*STD = 4.8699 -2*STD = -4.87 Date_of_death = Aug2009 2*STD = 4.8699 -2*STD = -4.87 Date_of_death = Aug2009 2*STD = 4.8699 -2*STD = -4.87 Date_of_death = Jul2009 2*STD = 4.87 -2*STD = -4.87 Date_of_death = Jul2009 2*STD = 4.87 -2*STD = -4.87 Date_of_death = Jun2009 2*STD = 4.8701 -2*STD = -4.87 Date_of_death = Jun2009 2*STD = 4.8701 -2*STD = -4.87 Date_of_death = May2009 2*STD = 4.8701 -2*STD = -4.87 Date_of_death = May2009 2*STD = 4.8701 -2*STD = -4.87 Date_of_death = Apr2009 2*STD = 4.8702 -2*STD = -4.87 Date_of_death = Apr2009 2*STD = 4.8702 -2*STD = -4.87 Date_of_death = Mar2009 2*STD = 4.8703 -2*STD = -4.87 Date_of_death = Mar2009 2*STD = 4.8703 -2*STD = -4.87 Date_of_death = Feb2009 2*STD = 4.8704 -2*STD = -4.87 Date_of_death = Feb2009 2*STD = 4.8704 -2*STD = -4.87 Date_of_death = Jan2009 2*STD = 4.8705 -2*STD = -4.871 Date_of_death = Jan2009 2*STD = 4.8705 -2*STD = -4.871 Date_of_death = Dec2008 2*STD = 4.898 -2*STD = -4.898 Date_of_death = Dec2008 2*STD = 4.898 -2*STD = -4.898 Date_of_death = Nov2008 2*STD = 4.8981 -2*STD = -4.898 Date_of_death = Nov2008 2*STD = 4.8981 -2*STD = -4.898 Date_of_death = Oct2008 2*STD = 4.8981 -2*STD = -4.898 Date_of_death = Oct2008 2*STD = 4.8981 -2*STD = -4.898 Date_of_death = Sep2008 2*STD = 4.8982 -2*STD = -4.898 Date_of_death = Sep2008 2*STD = 4.8982 -2*STD = -4.898 Date_of_death = Aug2008 2*STD = 4.8982 -2*STD = -4.898 Date_of_death = Aug2008 2*STD = 4.8982 -2*STD = -4.898 Date_of_death = Jul2008 2*STD = 4.8983 -2*STD = -4.898 Date_of_death = Jul2008 2*STD = 4.8983 -2*STD = -4.898 Date_of_death = Jun2008 2*STD = 4.8984 -2*STD = -4.898 Date_of_death = Jun2008 2*STD = 4.8984 -2*STD = -4.898 Date_of_death = May2008 2*STD = 4.8984 -2*STD = -4.898 Date_of_death = May2008 2*STD = 4.8984 -2*STD = -4.898 Date_of_death = Apr2008 2*STD = 4.8985 -2*STD = -4.899 Date_of_death = Apr2008 2*STD = 4.8985 -2*STD = -4.899 Date_of_death = Mar2008 2*STD = 4.8986 -2*STD = -4.899 Date_of_death = Mar2008 2*STD = 4.8986 -2*STD = -4.899 Date_of_death = Feb2008 2*STD = 4.8987 -2*STD = -4.899 Date_of_death = Feb2008 2*STD = 4.8987 -2*STD = -4.899 Date_of_death = Jan2008 2*STD = 4.8988 -2*STD = -4.899 Date_of_death = Jan2008 2*STD = 4.8988 -2*STD = -4.899 Date_of_death = Dec2007 2*STD = 4.9344 -2*STD = -4.934 Date_of_death = Dec2007 2*STD = 4.9344 -2*STD = -4.934 Date_of_death = Nov2007 2*STD = 4.9344 -2*STD = -4.934 Date_of_death = Nov2007 2*STD = 4.9344 -2*STD = -4.934 Date_of_death = Oct2007 2*STD = 4.9345 -2*STD = -4.934 Date_of_death = Oct2007 2*STD = 4.9345 -2*STD = -4.934 Date_of_death = Sep2007 2*STD = 4.9345 -2*STD = -4.935 Date_of_death = Sep2007 2*STD = 4.9345 -2*STD = -4.935 Date_of_death = Aug2007 2*STD = 4.9346 -2*STD = -4.935 Date_of_death = Aug2007 2*STD = 4.9346 -2*STD = -4.935 Date_of_death = Jul2007 2*STD = 4.9346 -2*STD = -4.935 Date_of_death = Jul2007 2*STD = 4.9346 -2*STD = -4.935 Date_of_death = Jun2007 2*STD = 4.9347 -2*STD = -4.935 Date_of_death = Jun2007 2*STD = 4.9347 -2*STD = -4.935 Date_of_death = May2007 2*STD = 4.9347 -2*STD = -4.935 Date_of_death = May2007 2*STD = 4.9347 -2*STD = -4.935 Date_of_death = Apr2007 2*STD = 4.9348 -2*STD = -4.935 Date_of_death = Apr2007 2*STD = 4.9348 -2*STD = -4.935 Date_of_death = Mar2007 2*STD = 4.9349 -2*STD = -4.935 Date_of_death = Mar2007 2*STD = 4.9349 -2*STD = -4.935 Date_of_death = Feb2007 2*STD = 4.935 -2*STD = -4.935 Date_of_death = Feb2007 2*STD = 4.935 -2*STD = -4.935 Date_of_death = Jan2007 2*STD = 4.9351 -2*STD = -4.935 Date_of_death = Jan2007 2*STD = 4.9351 -2*STD = -4.935 Date_of_death = Dec2006 2*STD = 4.9827 -2*STD = -4.983 Date_of_death = Dec2006 2*STD = 4.9827 -2*STD = -4.983 Date_of_death = Nov2006 2*STD = 4.9828 -2*STD = -4.983 Date_of_death = Nov2006 2*STD = 4.9828 -2*STD = -4.983 Date_of_death = Oct2006 2*STD = 4.9828 -2*STD = -4.983 Date_of_death = Oct2006 2*STD = 4.9828 -2*STD = -4.983 Date_of_death = Sep2006 2*STD = 4.9829 -2*STD = -4.983 Date_of_death = Sep2006 2*STD = 4.9829 -2*STD = -4.983 Date_of_death = Aug2006 2*STD = 4.9829 -2*STD = -4.983 Date_of_death = Aug2006 2*STD = 4.9829 -2*STD = -4.983 Date_of_death = Jul2006 2*STD = 4.983 -2*STD = -4.983 Date_of_death = Jul2006 2*STD = 4.983 -2*STD = -4.983 Date_of_death = Jun2006 2*STD = 4.983 -2*STD = -4.983 Date_of_death = Jun2006 2*STD = 4.983 -2*STD = -4.983 Date_of_death = May2006 2*STD = 4.9831 -2*STD = -4.983 Date_of_death = May2006 2*STD = 4.9831 -2*STD = -4.983 Date_of_death = Apr2006 2*STD = 4.9831 -2*STD = -4.983 Date_of_death = Apr2006 2*STD = 4.9831 -2*STD = -4.983 Date_of_death = Mar2006 2*STD = 4.9832 -2*STD = -4.983 Date_of_death = Mar2006 2*STD = 4.9832 -2*STD = -4.983 Date_of_death = Feb2006 2*STD = 4.9833 -2*STD = -4.983 Date_of_death = Feb2006 2*STD = 4.9833 -2*STD = -4.983 Date_of_death = Jan2006 2*STD = 4.9834 -2*STD = -4.983 Date_of_death = Jan2006 2*STD = 4.9834 -2*STD = -4.983 Date_of_death = Dec2005 2*STD = 5.0502 -2*STD = -5.05 Date_of_death = Dec2005 2*STD = 5.0502 -2*STD = -5.05 Date_of_death = Nov2005 2*STD = 5.0502 -2*STD = -5.05 Date_of_death = Nov2005 2*STD = 5.0502 -2*STD = -5.05 Date_of_death = Oct2005 2*STD = 5.0503 -2*STD = -5.05 Date_of_death = Oct2005 2*STD = 5.0503 -2*STD = -5.05 Date_of_death = Sep2005 2*STD = 5.0503 -2*STD = -5.05 Date_of_death = Sep2005 2*STD = 5.0503 -2*STD = -5.05 Date_of_death = Aug2005 2*STD = 5.0504 -2*STD = -5.05 Date_of_death = Aug2005 2*STD = 5.0504 -2*STD = -5.05 Date_of_death = Jul2005 2*STD = 5.0504 -2*STD = -5.05 Date_of_death = Jul2005 2*STD = 5.0504 -2*STD = -5.05 Date_of_death = Jun2005 2*STD = 5.0504 -2*STD = -5.05 Date_of_death = Jun2005 2*STD = 5.0504 -2*STD = -5.05 Date_of_death = May2005 2*STD = 5.0505 -2*STD = -5.05 Date_of_death = May2005 2*STD = 5.0505 -2*STD = -5.05 Date_of_death = Apr2005 2*STD = 5.0506 -2*STD = -5.051 Date_of_death = Apr2005 2*STD = 5.0506 -2*STD = -5.051 Date_of_death = Mar2005 2*STD = 5.0506 -2*STD = -5.051 Date_of_death = Mar2005 2*STD = 5.0506 -2*STD = -5.051 Date_of_death = Feb2005 2*STD = 5.0507 -2*STD = -5.051 Date_of_death = Feb2005 2*STD = 5.0507 -2*STD = -5.051 Date_of_death = Jan2005 2*STD = 5.0508 -2*STD = -5.051 Date_of_death = Jan2005 2*STD = 5.0508 -2*STD = -5.051 Date_of_death = Dec2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Dec2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Nov2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Nov2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Oct2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Oct2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Sep2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Sep2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Aug2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Aug2004 2*STD = 5.1507 -2*STD = -5.151 Date_of_death = Jul2004 2*STD = 5.1508 -2*STD = -5.151 Date_of_death = Jul2004 2*STD = 5.1508 -2*STD = -5.151 Date_of_death = Jun2004 2*STD = 5.1508 -2*STD = -5.151 Date_of_death = Jun2004 2*STD = 5.1508 -2*STD = -5.151 Date_of_death = May2004 2*STD = 5.1509 -2*STD = -5.151 Date_of_death = May2004 2*STD = 5.1509 -2*STD = -5.151 Date_of_death = Apr2004 2*STD = 5.1509 -2*STD = -5.151 Date_of_death = Apr2004 2*STD = 5.1509 -2*STD = -5.151 Date_of_death = Mar2004 2*STD = 5.151 -2*STD = -5.151 Date_of_death = Mar2004 2*STD = 5.151 -2*STD = -5.151 Date_of_death = Feb2004 2*STD = 5.151 -2*STD = -5.151 Date_of_death = Feb2004 2*STD = 5.151 -2*STD = -5.151 Date_of_death = Jan2004 2*STD = 5.1511 -2*STD = -5.151 Date_of_death = Jan2004 2*STD = 5.1511 -2*STD = -5.151 Date_of_death = Dec2003 2*STD = 5.3153 -2*STD = -5.315 Date_of_death = Dec2003 2*STD = 5.3153 -2*STD = -5.315 Date_of_death = Nov2003 2*STD = 5.3153 -2*STD = -5.315 Date_of_death = Nov2003 2*STD = 5.3153 -2*STD = -5.315 Date_of_death = Oct2003 2*STD = 5.3153 -2*STD = -5.315 Date_of_death = Oct2003 2*STD = 5.3153 -2*STD = -5.315 Date_of_death = Sep2003 2*STD = 5.3153 -2*STD = -5.315 Date_of_death = Sep2003 2*STD = 5.3153 -2*STD = -5.315 Date_of_death = Aug2003 2*STD = 5.3154 -2*STD = -5.315 Date_of_death = Aug2003 2*STD = 5.3154 -2*STD = -5.315 Date_of_death = Jul2003 2*STD = 5.3154 -2*STD = -5.315 Date_of_death = Jul2003 2*STD = 5.3154 -2*STD = -5.315 Date_of_death = Jun2003 2*STD = 5.3154 -2*STD = -5.315 Date_of_death = Jun2003 2*STD = 5.3154 -2*STD = -5.315 Date_of_death = May2003 2*STD = 5.3154 -2*STD = -5.315 Date_of_death = May2003 2*STD = 5.3154 -2*STD = -5.315 Date_of_death = Apr2003 2*STD = 5.3155 -2*STD = -5.315 Date_of_death = Apr2003 2*STD = 5.3155 -2*STD = -5.315 Date_of_death = Mar2003 2*STD = 5.3155 -2*STD = -5.316 Date_of_death = Mar2003 2*STD = 5.3155 -2*STD = -5.316 Date_of_death = Feb2003 2*STD = 5.3156 -2*STD = -5.316 Date_of_death = Feb2003 2*STD = 5.3156 -2*STD = -5.316 Date_of_death = Jan2003 2*STD = 5.3156 -2*STD = -5.316 Date_of_death = Jan2003 2*STD = 5.3156 -2*STD = -5.316 Date_of_death = Dec2002 2*STD = 5.6327 -2*STD = -5.633 Date_of_death = Dec2002 2*STD = 5.6327 -2*STD = -5.633 Date_of_death = Nov2002 2*STD = 5.6327 -2*STD = -5.633 Date_of_death = Nov2002 2*STD = 5.6327 -2*STD = -5.633 Date_of_death = Oct2002 2*STD = 5.6327 -2*STD = -5.633 Date_of_death = Oct2002 2*STD = 5.6327 -2*STD = -5.633 Date_of_death = Sep2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Sep2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Aug2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Aug2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Jul2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Jul2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Jun2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Jun2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = May2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = May2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Apr2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Apr2002 2*STD = 5.6328 -2*STD = -5.633 Date_of_death = Mar2002 2*STD = 5.6329 -2*STD = -5.633 Date_of_death = Mar2002 2*STD = 5.6329 -2*STD = -5.633 Date_of_death = Feb2002 2*STD = 5.6329 -2*STD = -5.633 Date_of_death = Feb2002 2*STD = 5.6329 -2*STD = -5.633 Date_of_death = Jan2002 2*STD = 5.6329 -2*STD = -5.633 Date_of_death = Jan2002 2*STD = 5.6329 -2*STD = -5.633 Date_of_death = Dec2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Dec2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Nov2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Nov2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Oct2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Oct2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Sep2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Sep2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Aug2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Aug2001 2*STD = 6.4979 -2*STD = -6.498 Date_of_death = Jul2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Jul2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Jun2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Jun2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = May2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = May2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Apr2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Apr2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Mar2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Mar2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Feb2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Feb2001 2*STD = 6.498 -2*STD = -6.498 Date_of_death = Jan2001 2*STD = 6.498 -2*STD = -6.498 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
238 OCT2019 2.127864 2.37503 -2.527111 6.782840
239 NOV2019 3.026517 2.37540 -1.629181 7.682216
240 DEC2019 2.714638 2.37577 -1.941777 7.371053
241 JAN2020 2.638005 2.37365 -2.014255 7.290265
242 FEB2020 2.541720 2.37401 -2.111244 7.194684
243 MAR2020 2.445437 2.37436 -2.208226 7.099100
244 APR2020 2.899160 2.37471 -1.755196 7.553515
245 MAY2020 3.602876 2.37507 -1.052167 8.257919
246 JUN2020 3.256597 2.37541 -1.399127 7.912321
247 JUL2020 3.360312 2.37576 -1.296087 8.016712
248 AUG2020 2.414035 2.37610 -2.243034 7.071104
249 SEP2020 3.017751 2.37644 -1.639982 7.675484

Forecasts Only Plot

Date_of_death = Sep2020 Forecast = 3.0178 Date_of_death = Aug2020 Forecast = 2.4140 Date_of_death = Aug2020 Forecast = 2.4140 Date_of_death = Jul2020 Forecast = 3.3603 Date_of_death = Jul2020 Forecast = 3.3603 Date_of_death = Jun2020 Forecast = 3.2566 Date_of_death = Jun2020 Forecast = 3.2566 Date_of_death = May2020 Forecast = 3.6029 Date_of_death = May2020 Forecast = 3.6029 Date_of_death = Apr2020 Forecast = 2.8992 Date_of_death = Apr2020 Forecast = 2.8992 Date_of_death = Mar2020 Forecast = 2.4454 Date_of_death = Mar2020 Forecast = 2.4454 Date_of_death = Feb2020 Forecast = 2.5417 Date_of_death = Feb2020 Forecast = 2.5417 Date_of_death = Jan2020 Forecast = 2.6380 Date_of_death = Jan2020 Forecast = 2.6380 Date_of_death = Dec2019 Forecast = 2.7146 Date_of_death = Dec2019 Forecast = 2.7146 Date_of_death = Nov2019 Forecast = 3.0265 Date_of_death = Nov2019 Forecast = 3.0265 Date_of_death = Oct2019 Forecast = 2.1279 Date_of_death = Sep2020 Upper 95% = 7.6755 Lower 95% = -1.6400 Date_of_death = Aug2020 Upper 95% = 7.0711 Lower 95% = -2.2430 Date_of_death = Aug2020 Upper 95% = 7.0711 Lower 95% = -2.2430 Date_of_death = Jul2020 Upper 95% = 8.0167 Lower 95% = -1.2961 Date_of_death = Jul2020 Upper 95% = 8.0167 Lower 95% = -1.2961 Date_of_death = Jun2020 Upper 95% = 7.9123 Lower 95% = -1.3991 Date_of_death = Jun2020 Upper 95% = 7.9123 Lower 95% = -1.3991 Date_of_death = May2020 Upper 95% = 8.2579 Lower 95% = -1.0522 Date_of_death = May2020 Upper 95% = 8.2579 Lower 95% = -1.0522 Date_of_death = Apr2020 Upper 95% = 7.5535 Lower 95% = -1.7552 Date_of_death = Apr2020 Upper 95% = 7.5535 Lower 95% = -1.7552 Date_of_death = Mar2020 Upper 95% = 7.0991 Lower 95% = -2.2082 Date_of_death = Mar2020 Upper 95% = 7.0991 Lower 95% = -2.2082 Date_of_death = Feb2020 Upper 95% = 7.1947 Lower 95% = -2.1112 Date_of_death = Feb2020 Upper 95% = 7.1947 Lower 95% = -2.1112 Date_of_death = Jan2020 Upper 95% = 7.2903 Lower 95% = -2.0143 Date_of_death = Jan2020 Upper 95% = 7.2903 Lower 95% = -2.0143 Date_of_death = Dec2019 Upper 95% = 7.3711 Lower 95% = -1.9418 Date_of_death = Dec2019 Upper 95% = 7.3711 Lower 95% = -1.9418 Date_of_death = Nov2019 Upper 95% = 7.6822 Lower 95% = -1.6292 Date_of_death = Nov2019 Upper 95% = 7.6822 Lower 95% = -1.6292 Date_of_death = Oct2019 Upper 95% = 6.7828 Lower 95% = -2.5271
Forecast Only Plot

Forecasts Plot

X = 21793 Date_of_death = Sep2020 Forecast = 3.0178 Date_of_death = Aug2020 Forecast = 2.4140 Date_of_death = Aug2020 Forecast = 2.4140 Date_of_death = Jul2020 Forecast = 3.3603 Date_of_death = Jul2020 Forecast = 3.3603 Date_of_death = Jun2020 Forecast = 3.2566 Date_of_death = Jun2020 Forecast = 3.2566 Date_of_death = May2020 Forecast = 3.6029 Date_of_death = May2020 Forecast = 3.6029 Date_of_death = Apr2020 Forecast = 2.8992 Date_of_death = Apr2020 Forecast = 2.8992 Date_of_death = Mar2020 Forecast = 2.4454 Date_of_death = Mar2020 Forecast = 2.4454 Date_of_death = Feb2020 Forecast = 2.5417 Date_of_death = Feb2020 Forecast = 2.5417 Date_of_death = Jan2020 Forecast = 2.6380 Date_of_death = Jan2020 Forecast = 2.6380 Date_of_death = Dec2019 Forecast = 2.7146 Date_of_death = Dec2019 Forecast = 2.7146 Date_of_death = Nov2019 Forecast = 3.0265 Date_of_death = Nov2019 Forecast = 3.0265 Date_of_death = Oct2019 Forecast = 2.1279 Date_of_death = Oct2019 Forecast = 2.1279 Date_of_death = Sep2019 Forecast = 3.0910 Date_of_death = Sep2019 Forecast = 3.0910 Date_of_death = Aug2019 Forecast = 2.5360 Date_of_death = Aug2019 Forecast = 2.5360 Date_of_death = Jul2019 Forecast = 3.5070 Date_of_death = Jul2019 Forecast = 3.5070 Date_of_death = Jun2019 Forecast = 3.3519 Date_of_death = Jun2019 Forecast = 3.3519 Date_of_death = May2019 Forecast = 3.8742 Date_of_death = May2019 Forecast = 3.8742 Date_of_death = Apr2019 Forecast = 3.1735 Date_of_death = Apr2019 Forecast = 3.1735 Date_of_death = Mar2019 Forecast = 2.6561 Date_of_death = Mar2019 Forecast = 2.6561 Date_of_death = Feb2019 Forecast = 2.4840 Date_of_death = Feb2019 Forecast = 2.4840 Date_of_death = Jan2019 Forecast = 2.5227 Date_of_death = Jan2019 Forecast = 2.5227 Date_of_death = Dec2018 Forecast = 2.9055 Date_of_death = Dec2018 Forecast = 2.9055 Date_of_death = Nov2018 Forecast = 3.1263 Date_of_death = Nov2018 Forecast = 3.1263 Date_of_death = Oct2018 Forecast = 2.3127 Date_of_death = Oct2018 Forecast = 2.3127 Date_of_death = Sep2018 Forecast = 3.3511 Date_of_death = Sep2018 Forecast = 3.3511 Date_of_death = Aug2018 Forecast = 2.6188 Date_of_death = Aug2018 Forecast = 2.6188 Date_of_death = Jul2018 Forecast = 3.7762 Date_of_death = Jul2018 Forecast = 3.7762 Date_of_death = Jun2018 Forecast = 3.6540 Date_of_death = Jun2018 Forecast = 3.6540 Date_of_death = May2018 Forecast = 3.8347 Date_of_death = May2018 Forecast = 3.8347 Date_of_death = Apr2018 Forecast = 3.1498 Date_of_death = Apr2018 Forecast = 3.1498 Date_of_death = Mar2018 Forecast = 2.7899 Date_of_death = Mar2018 Forecast = 2.7899 Date_of_death = Feb2018 Forecast = 2.7066 Date_of_death = Feb2018 Forecast = 2.7066 Date_of_death = Jan2018 Forecast = 2.6984 Date_of_death = Jan2018 Forecast = 2.6984 Date_of_death = Dec2017 Forecast = 3.2222 Date_of_death = Dec2017 Forecast = 3.2222 Date_of_death = Nov2017 Forecast = 3.1100 Date_of_death = Nov2017 Forecast = 3.1100 Date_of_death = Oct2017 Forecast = 2.1572 Date_of_death = Oct2017 Forecast = 2.1572 Date_of_death = Sep2017 Forecast = 3.4739 Date_of_death = Sep2017 Forecast = 3.4739 Date_of_death = Aug2017 Forecast = 2.6408 Date_of_death = Aug2017 Forecast = 2.6408 Date_of_death = Jul2017 Forecast = 3.9064 Date_of_death = Jul2017 Forecast = 3.9064 Date_of_death = Jun2017 Forecast = 3.4466 Date_of_death = Jun2017 Forecast = 3.4466 Date_of_death = May2017 Forecast = 3.6369 Date_of_death = May2017 Forecast = 3.6369 Date_of_death = Apr2017 Forecast = 2.8721 Date_of_death = Apr2017 Forecast = 2.8721 Date_of_death = Mar2017 Forecast = 2.7821 Date_of_death = Mar2017 Forecast = 2.7821 Date_of_death = Feb2017 Forecast = 2.6907 Date_of_death = Feb2017 Forecast = 2.6907 Date_of_death = Jan2017 Forecast = 2.7176 Date_of_death = Jan2017 Forecast = 2.7176 Date_of_death = Dec2016 Forecast = 3.2785 Date_of_death = Dec2016 Forecast = 3.2785 Date_of_death = Nov2016 Forecast = 3.2515 Date_of_death = Nov2016 Forecast = 3.2515 Date_of_death = Oct2016 Forecast = 2.3340 Date_of_death = Oct2016 Forecast = 2.3340 Date_of_death = Sep2016 Forecast = 3.3477 Date_of_death = Sep2016 Forecast = 3.3477 Date_of_death = Aug2016 Forecast = 2.6509 Date_of_death = Aug2016 Forecast = 2.6509 Date_of_death = Jul2016 Forecast = 3.9771 Date_of_death = Jul2016 Forecast = 3.9771 Date_of_death = Jun2016 Forecast = 3.6272 Date_of_death = Jun2016 Forecast = 3.6272 Date_of_death = May2016 Forecast = 3.9886 Date_of_death = May2016 Forecast = 3.9886 Date_of_death = Apr2016 Forecast = 3.2755 Date_of_death = Apr2016 Forecast = 3.2755 Date_of_death = Mar2016 Forecast = 3.1862 Date_of_death = Mar2016 Forecast = 3.1862 Date_of_death = Feb2016 Forecast = 3.0956 Date_of_death = Feb2016 Forecast = 3.0956 Date_of_death = Jan2016 Forecast = 2.7240 Date_of_death = Jan2016 Forecast = 2.7240 Date_of_death = Dec2015 Forecast = 3.2185 Date_of_death = Dec2015 Forecast = 3.2185 Date_of_death = Nov2015 Forecast = 3.1000 Date_of_death = Nov2015 Forecast = 3.1000 Date_of_death = Oct2015 Forecast = 2.4549 Date_of_death = Oct2015 Forecast = 2.4549 Date_of_death = Sep2015 Forecast = 3.2046 Date_of_death = Sep2015 Forecast = 3.2046 Date_of_death = Aug2015 Forecast = 2.7474 Date_of_death = Aug2015 Forecast = 2.7474 Date_of_death = Jul2015 Forecast = 4.2665 Date_of_death = Jul2015 Forecast = 4.2665 Date_of_death = Jun2015 Forecast = 3.9133 Date_of_death = Jun2015 Forecast = 3.9133 Date_of_death = May2015 Forecast = 4.3005 Date_of_death = May2015 Forecast = 4.3005 Date_of_death = Apr2015 Forecast = 3.5419 Date_of_death = Apr2015 Forecast = 3.5419 Date_of_death = Mar2015 Forecast = 3.3635 Date_of_death = Mar2015 Forecast = 3.3635 Date_of_death = Feb2015 Forecast = 3.3352 Date_of_death = Feb2015 Forecast = 3.3352 Date_of_death = Jan2015 Forecast = 2.6091 Date_of_death = Jan2015 Forecast = 2.6091 Date_of_death = Dec2014 Forecast = 3.1250 Date_of_death = Dec2014 Forecast = 3.1250 Date_of_death = Nov2014 Forecast = 3.0017 Date_of_death = Nov2014 Forecast = 3.0017 Date_of_death = Oct2014 Forecast = 2.4907 Date_of_death = Oct2014 Forecast = 2.4907 Date_of_death = Sep2014 Forecast = 3.4407 Date_of_death = Sep2014 Forecast = 3.4407 Date_of_death = Aug2014 Forecast = 2.5959 Date_of_death = Aug2014 Forecast = 2.5959 Date_of_death = Jul2014 Forecast = 4.1334 Date_of_death = Jul2014 Forecast = 4.1334 Date_of_death = Jun2014 Forecast = 4.1108 Date_of_death = Jun2014 Forecast = 4.1108 Date_of_death = May2014 Forecast = 4.3449 Date_of_death = May2014 Forecast = 4.3449 Date_of_death = Apr2014 Forecast = 3.2245 Date_of_death = Apr2014 Forecast = 3.2245 Date_of_death = Mar2014 Forecast = 3.1357 Date_of_death = Mar2014 Forecast = 3.1357 Date_of_death = Feb2014 Forecast = 3.3145 Date_of_death = Feb2014 Forecast = 3.3145 Date_of_death = Jan2014 Forecast = 2.5351 Date_of_death = Jan2014 Forecast = 2.5351 Date_of_death = Dec2013 Forecast = 3.2590 Date_of_death = Dec2013 Forecast = 3.2590 Date_of_death = Nov2013 Forecast = 3.1208 Date_of_death = Nov2013 Forecast = 3.1208 Date_of_death = Oct2013 Forecast = 2.6841 Date_of_death = Oct2013 Forecast = 2.6841 Date_of_death = Sep2013 Forecast = 3.7261 Date_of_death = Sep2013 Forecast = 3.7261 Date_of_death = Aug2013 Forecast = 2.8144 Date_of_death = Aug2013 Forecast = 2.8144 Date_of_death = Jul2013 Forecast = 4.6411 Date_of_death = Jul2013 Forecast = 4.6411 Date_of_death = Jun2013 Forecast = 4.1482 Date_of_death = Jun2013 Forecast = 4.1482 Date_of_death = May2013 Forecast = 4.3506 Date_of_death = May2013 Forecast = 4.3506 Date_of_death = Apr2013 Forecast = 3.1485 Date_of_death = Apr2013 Forecast = 3.1485 Date_of_death = Mar2013 Forecast = 3.4950 Date_of_death = Mar2013 Forecast = 3.4950 Date_of_death = Feb2013 Forecast = 3.2169 Date_of_death = Feb2013 Forecast = 3.2169 Date_of_death = Jan2013 Forecast = 2.3080 Date_of_death = Jan2013 Forecast = 2.3080 Date_of_death = Dec2012 Forecast = 3.2858 Date_of_death = Dec2012 Forecast = 3.2858 Date_of_death = Nov2012 Forecast = 3.3194 Date_of_death = Nov2012 Forecast = 3.3194 Date_of_death = Oct2012 Forecast = 2.8460 Date_of_death = Oct2012 Forecast = 2.8460 Date_of_death = Sep2012 Forecast = 3.9739 Date_of_death = Sep2012 Forecast = 3.9739 Date_of_death = Aug2012 Forecast = 2.9030 Date_of_death = Aug2012 Forecast = 2.9030 Date_of_death = Jul2012 Forecast = 4.4603 Date_of_death = Jul2012 Forecast = 4.4603 Date_of_death = Jun2012 Forecast = 3.9256 Date_of_death = Jun2012 Forecast = 3.9256 Date_of_death = May2012 Forecast = 4.6479 Date_of_death = May2012 Forecast = 4.6479 Date_of_death = Apr2012 Forecast = 3.4348 Date_of_death = Apr2012 Forecast = 3.4348 Date_of_death = Mar2012 Forecast = 3.3074 Date_of_death = Mar2012 Forecast = 3.3074 Date_of_death = Feb2012 Forecast = 3.0080 Date_of_death = Feb2012 Forecast = 3.0080 Date_of_death = Jan2012 Forecast = 2.3285 Date_of_death = Jan2012 Forecast = 2.3285 Date_of_death = Dec2011 Forecast = 3.6064 Date_of_death = Dec2011 Forecast = 3.6064 Date_of_death = Nov2011 Forecast = 3.6444 Date_of_death = Nov2011 Forecast = 3.6444 Date_of_death = Oct2011 Forecast = 3.0219 Date_of_death = Oct2011 Forecast = 3.0219 Date_of_death = Sep2011 Forecast = 4.3439 Date_of_death = Sep2011 Forecast = 4.3439 Date_of_death = Aug2011 Forecast = 3.1944 Date_of_death = Aug2011 Forecast = 3.1944 Date_of_death = Jul2011 Forecast = 4.7661 Date_of_death = Jul2011 Forecast = 4.7661 Date_of_death = Jun2011 Forecast = 3.9156 Date_of_death = Jun2011 Forecast = 3.9156 Date_of_death = May2011 Forecast = 4.6210 Date_of_death = May2011 Forecast = 4.6210 Date_of_death = Apr2011 Forecast = 3.7532 Date_of_death = Apr2011 Forecast = 3.7532 Date_of_death = Mar2011 Forecast = 3.7033 Date_of_death = Mar2011 Forecast = 3.7033 Date_of_death = Feb2011 Forecast = 2.9285 Date_of_death = Feb2011 Forecast = 2.9285 Date_of_death = Jan2011 Forecast = 2.6812 Date_of_death = Jan2011 Forecast = 2.6812 Date_of_death = Dec2010 Forecast = 4.0986 Date_of_death = Dec2010 Forecast = 4.0986 Date_of_death = Nov2010 Forecast = 3.5633 Date_of_death = Nov2010 Forecast = 3.5633 Date_of_death = Oct2010 Forecast = 2.8166 Date_of_death = Oct2010 Forecast = 2.8166 Date_of_death = Sep2010 Forecast = 4.1894 Date_of_death = Sep2010 Forecast = 4.1894 Date_of_death = Aug2010 Forecast = 2.8423 Date_of_death = Aug2010 Forecast = 2.8423 Date_of_death = Jul2010 Forecast = 4.5190 Date_of_death = Jul2010 Forecast = 4.5190 Date_of_death = Jun2010 Forecast = 3.5818 Date_of_death = Jun2010 Forecast = 3.5818 Date_of_death = May2010 Forecast = 4.3555 Date_of_death = May2010 Forecast = 4.3555 Date_of_death = Apr2010 Forecast = 3.3135 Date_of_death = Apr2010 Forecast = 3.3135 Date_of_death = Mar2010 Forecast = 3.1688 Date_of_death = Mar2010 Forecast = 3.1688 Date_of_death = Feb2010 Forecast = 2.8935 Date_of_death = Feb2010 Forecast = 2.8935 Date_of_death = Jan2010 Forecast = 2.0316 Date_of_death = Jan2010 Forecast = 2.0316 Date_of_death = Dec2009 Forecast = 3.4898 Date_of_death = Dec2009 Forecast = 3.4898 Date_of_death = Nov2009 Forecast = 3.5201 Date_of_death = Nov2009 Forecast = 3.5201 Date_of_death = Oct2009 Forecast = 2.7627 Date_of_death = Oct2009 Forecast = 2.7627 Date_of_death = Sep2009 Forecast = 3.7274 Date_of_death = Sep2009 Forecast = 3.7274 Date_of_death = Aug2009 Forecast = 2.8602 Date_of_death = Aug2009 Forecast = 2.8602 Date_of_death = Jul2009 Forecast = 4.7981 Date_of_death = Jul2009 Forecast = 4.7981 Date_of_death = Jun2009 Forecast = 3.7075 Date_of_death = Jun2009 Forecast = 3.7075 Date_of_death = May2009 Forecast = 4.3765 Date_of_death = May2009 Forecast = 4.3765 Date_of_death = Apr2009 Forecast = 3.6328 Date_of_death = Apr2009 Forecast = 3.6328 Date_of_death = Mar2009 Forecast = 3.5551 Date_of_death = Mar2009 Forecast = 3.5551 Date_of_death = Feb2009 Forecast = 3.2515 Date_of_death = Feb2009 Forecast = 3.2515 Date_of_death = Jan2009 Forecast = 2.3806 Date_of_death = Jan2009 Forecast = 2.3806 Date_of_death = Dec2008 Forecast = 3.4111 Date_of_death = Dec2008 Forecast = 3.4111 Date_of_death = Nov2008 Forecast = 3.3750 Date_of_death = Nov2008 Forecast = 3.3750 Date_of_death = Oct2008 Forecast = 2.8709 Date_of_death = Oct2008 Forecast = 2.8709 Date_of_death = Sep2008 Forecast = 4.0066 Date_of_death = Sep2008 Forecast = 4.0066 Date_of_death = Aug2008 Forecast = 3.1443 Date_of_death = Aug2008 Forecast = 3.1443 Date_of_death = Jul2008 Forecast = 4.7509 Date_of_death = Jul2008 Forecast = 4.7509 Date_of_death = Jun2008 Forecast = 3.4653 Date_of_death = Jun2008 Forecast = 3.4653 Date_of_death = May2008 Forecast = 4.1888 Date_of_death = May2008 Forecast = 4.1888 Date_of_death = Apr2008 Forecast = 3.2748 Date_of_death = Apr2008 Forecast = 3.2748 Date_of_death = Mar2008 Forecast = 3.6683 Date_of_death = Mar2008 Forecast = 3.6683 Date_of_death = Feb2008 Forecast = 2.7469 Date_of_death = Feb2008 Forecast = 2.7469 Date_of_death = Jan2008 Forecast = 2.2464 Date_of_death = Jan2008 Forecast = 2.2464 Date_of_death = Dec2007 Forecast = 2.8632 Date_of_death = Dec2007 Forecast = 2.8632 Date_of_death = Nov2007 Forecast = 3.6039 Date_of_death = Nov2007 Forecast = 3.6039 Date_of_death = Oct2007 Forecast = 3.0528 Date_of_death = Oct2007 Forecast = 3.0528 Date_of_death = Sep2007 Forecast = 4.3752 Date_of_death = Sep2007 Forecast = 4.3752 Date_of_death = Aug2007 Forecast = 3.4008 Date_of_death = Aug2007 Forecast = 3.4008 Date_of_death = Jul2007 Forecast = 5.3072 Date_of_death = Jul2007 Forecast = 5.3072 Date_of_death = Jun2007 Forecast = 3.9119 Date_of_death = Jun2007 Forecast = 3.9119 Date_of_death = May2007 Forecast = 4.8139 Date_of_death = May2007 Forecast = 4.8139 Date_of_death = Apr2007 Forecast = 3.8478 Date_of_death = Apr2007 Forecast = 3.8478 Date_of_death = Mar2007 Forecast = 4.3167 Date_of_death = Mar2007 Forecast = 4.3167 Date_of_death = Feb2007 Forecast = 3.1887 Date_of_death = Feb2007 Forecast = 3.1887 Date_of_death = Jan2007 Forecast = 2.6256 Date_of_death = Jan2007 Forecast = 2.6256 Date_of_death = Dec2006 Forecast = 3.5826 Date_of_death = Dec2006 Forecast = 3.5826 Date_of_death = Nov2006 Forecast = 3.5572 Date_of_death = Nov2006 Forecast = 3.5572 Date_of_death = Oct2006 Forecast = 3.5753 Date_of_death = Oct2006 Forecast = 3.5753 Date_of_death = Sep2006 Forecast = 5.2902 Date_of_death = Sep2006 Forecast = 5.2902 Date_of_death = Aug2006 Forecast = 3.9807 Date_of_death = Aug2006 Forecast = 3.9807 Date_of_death = Jul2006 Forecast = 5.4773 Date_of_death = Jul2006 Forecast = 5.4773 Date_of_death = Jun2006 Forecast = 3.7885 Date_of_death = Jun2006 Forecast = 3.7885 Date_of_death = May2006 Forecast = 5.6754 Date_of_death = May2006 Forecast = 5.6754 Date_of_death = Apr2006 Forecast = 3.6522 Date_of_death = Apr2006 Forecast = 3.6522 Date_of_death = Mar2006 Forecast = 4.1337 Date_of_death = Mar2006 Forecast = 4.1337 Date_of_death = Feb2006 Forecast = 2.7662 Date_of_death = Feb2006 Forecast = 2.7662 Date_of_death = Jan2006 Forecast = 2.0567 Date_of_death = Jan2006 Forecast = 2.0567 Date_of_death = Dec2005 Forecast = 3.0335 Date_of_death = Dec2005 Forecast = 3.0335 Date_of_death = Nov2005 Forecast = 3.0044 Date_of_death = Nov2005 Forecast = 3.0044 Date_of_death = Oct2005 Forecast = 2.9743 Date_of_death = Oct2005 Forecast = 2.9743 Date_of_death = Sep2005 Forecast = 4.9628 Date_of_death = Sep2005 Forecast = 4.9628 Date_of_death = Aug2005 Forecast = 3.3353 Date_of_death = Aug2005 Forecast = 3.3353 Date_of_death = Jul2005 Forecast = 5.1246 Date_of_death = Jul2005 Forecast = 5.1246 Date_of_death = Jun2005 Forecast = 3.0939 Date_of_death = Jun2005 Forecast = 3.0939 Date_of_death = May2005 Forecast = 5.9195 Date_of_death = May2005 Forecast = 5.9195 Date_of_death = Apr2005 Forecast = 3.9461 Date_of_death = Apr2005 Forecast = 3.9461 Date_of_death = Mar2005 Forecast = 3.9438 Date_of_death = Mar2005 Forecast = 3.9438 Date_of_death = Feb2005 Forecast = 2.9615 Date_of_death = Feb2005 Forecast = 2.9615 Date_of_death = Jan2005 Forecast = 2.1718 Date_of_death = Jan2005 Forecast = 2.1718 Date_of_death = Dec2004 Forecast = 3.4995 Date_of_death = Dec2004 Forecast = 3.4995 Date_of_death = Nov2004 Forecast = 2.2175 Date_of_death = Nov2004 Forecast = 2.2175 Date_of_death = Oct2004 Forecast = 3.4865 Date_of_death = Oct2004 Forecast = 3.4865 Date_of_death = Sep2004 Forecast = 4.7249 Date_of_death = Sep2004 Forecast = 4.7249 Date_of_death = Aug2004 Forecast = 3.9985 Date_of_death = Aug2004 Forecast = 3.9985 Date_of_death = Jul2004 Forecast = 4.9894 Date_of_death = Jul2004 Forecast = 4.9894 Date_of_death = Jun2004 Forecast = 3.7616 Date_of_death = Jun2004 Forecast = 3.7616 Date_of_death = May2004 Forecast = 6.0114 Date_of_death = May2004 Forecast = 6.0114 Date_of_death = Apr2004 Forecast = 3.4902 Date_of_death = Apr2004 Forecast = 3.4902 Date_of_death = Mar2004 Forecast = 3.4682 Date_of_death = Mar2004 Forecast = 3.4682 Date_of_death = Feb2004 Forecast = 2.1848 Date_of_death = Feb2004 Forecast = 2.1848 Date_of_death = Jan2004 Forecast = 2.1841 Date_of_death = Jan2004 Forecast = 2.1841 Date_of_death = Dec2003 Forecast = 2.5885 Date_of_death = Dec2003 Forecast = 2.5885 Date_of_death = Nov2003 Forecast = 2.5954 Date_of_death = Nov2003 Forecast = 2.5954 Date_of_death = Oct2003 Forecast = 4.2806 Date_of_death = Oct2003 Forecast = 4.2806 Date_of_death = Sep2003 Forecast = 5.9779 Date_of_death = Sep2003 Forecast = 5.9779 Date_of_death = Aug2003 Forecast = 3.2917 Date_of_death = Aug2003 Forecast = 3.2917 Date_of_death = Jul2003 Forecast = 4.6136 Date_of_death = Jul2003 Forecast = 4.6136 Date_of_death = Jun2003 Forecast = 4.2933 Date_of_death = Jun2003 Forecast = 4.2933 Date_of_death = May2003 Forecast = 5.9578 Date_of_death = May2003 Forecast = 5.9578 Date_of_death = Apr2003 Forecast = 2.5997 Date_of_death = Apr2003 Forecast = 2.5997 Date_of_death = Mar2003 Forecast = 4.2858 Date_of_death = Mar2003 Forecast = 4.2858 Date_of_death = Feb2003 Forecast = 2.6283 Date_of_death = Feb2003 Forecast = 2.6283 Date_of_death = Jan2003 Forecast = 2.6379 Date_of_death = Jan2003 Forecast = 2.6379 Date_of_death = Dec2002 Forecast = 3.4874 Date_of_death = Dec2002 Forecast = 3.4874 Date_of_death = Nov2002 Forecast = 0.9616 Date_of_death = Nov2002 Forecast = 0.9616 Date_of_death = Oct2002 Forecast = 5.9838 Date_of_death = Oct2002 Forecast = 5.9838 Date_of_death = Sep2002 Forecast = 5.9826 Date_of_death = Sep2002 Forecast = 5.9826 Date_of_death = Aug2002 Forecast = 3.4839 Date_of_death = Aug2002 Forecast = 3.4839 Date_of_death = Jul2002 Forecast = 6.0026 Date_of_death = Jul2002 Forecast = 6.0026 Date_of_death = Jun2002 Forecast = 3.4903 Date_of_death = Jun2002 Forecast = 3.4903 Date_of_death = May2002 Forecast = 5.9896 Date_of_death = May2002 Forecast = 5.9896 Date_of_death = Apr2002 Forecast = 3.5013 Date_of_death = Apr2002 Forecast = 3.5013 Date_of_death = Mar2002 Forecast = 3.4889 Date_of_death = Mar2002 Forecast = 3.4889 Date_of_death = Feb2002 Forecast = 3.5007 Date_of_death = Feb2002 Forecast = 3.5007 Date_of_death = Jan2002 Forecast = 0.9757 Date_of_death = Jan2002 Forecast = 0.9757 Date_of_death = Dec2001 Forecast = 5.9938 Date_of_death = Dec2001 Forecast = 5.9938 Date_of_death = Nov2001 Forecast = 0.9925 Date_of_death = Nov2001 Forecast = 0.9925 Date_of_death = Oct2001 Forecast = 5.9913 Date_of_death = Oct2001 Forecast = 5.9913 Date_of_death = Sep2001 Forecast = 5.9900 Date_of_death = Sep2001 Forecast = 5.9900 Date_of_death = Aug2001 Forecast = 6.0038 Date_of_death = Aug2001 Forecast = 6.0038 Date_of_death = Jul2001 Forecast = 6.0038 Date_of_death = Jul2001 Forecast = 6.0038 Date_of_death = Jun2001 Forecast = 0.9887 Date_of_death = Jun2001 Forecast = 0.9887 Date_of_death = May2001 Forecast = 5.9874 Date_of_death = May2001 Forecast = 5.9874 Date_of_death = Apr2001 Forecast = 6.0013 Date_of_death = Apr2001 Forecast = 6.0013 Date_of_death = Mar2001 Forecast = 0.9861 Date_of_death = Mar2001 Forecast = 0.9861 Date_of_death = Feb2001 Forecast = 6.0000 Date_of_death = Feb2001 Forecast = 6.0000 Date_of_death = Jan2001 Forecast = 1.0000 Date_of_death = Sep2019 incidents = 2.0000 Date_of_death = Aug2019 incidents = 1.0000 Date_of_death = Jul2019 incidents = 2.0000 Date_of_death = Jun2019 incidents = 3.0000 Date_of_death = May2019 incidents = 1.0000 Date_of_death = Apr2019 incidents = 1.0000 Date_of_death = Mar2019 incidents = 2.0000 Date_of_death = Feb2019 incidents = 6.0000 Date_of_death = Jan2019 incidents = 6.0000 Date_of_death = Dec2018 incidents = 1.0000 Date_of_death = Nov2018 incidents = 3.0000 Date_of_death = Oct2018 incidents = 1.0000 Date_of_death = Sep2018 incidents = 1.0000 Date_of_death = Aug2018 incidents = 3.0000 Date_of_death = Jul2018 incidents = 1.0000 Date_of_death = Jun2018 incidents = 1.0000 Date_of_death = May2018 incidents = 6.0000 Date_of_death = Apr2018 incidents = 4.0000 Date_of_death = Mar2018 incidents = 1.0000 Date_of_death = Feb2018 incidents = 1.0000 Date_of_death = Jan2018 incidents = 3.0000 Date_of_death = Dec2017 incidents = 1.0000 Date_of_death = Nov2017 incidents = 6.0000 Date_of_death = Oct2017 incidents = 6.0000 Date_of_death = Sep2017 incidents = 2.0000 Date_of_death = Aug2017 incidents = 3.0000 Date_of_death = Jul2017 incidents = 2.0000 Date_of_death = Jun2017 incidents = 6.0000 Date_of_death = May2017 incidents = 6.0000 Date_of_death = Apr2017 incidents = 6.0000 Date_of_death = Mar2017 incidents = 1.0000 Date_of_death = Feb2017 incidents = 1.0000 Date_of_death = Jan2017 incidents = 1.0000 Date_of_death = Dec2016 incidents = 1.0000 Date_of_death = Nov2016 incidents = 1.0000 Date_of_death = Oct2016 incidents = 1.0000 Date_of_death = Sep2016 incidents = 6.0000 Date_of_death = Aug2016 incidents = 3.0000 Date_of_death = Jul2016 incidents = 3.0000 Date_of_death = Jun2016 incidents = 2.0000 Date_of_death = May2016 incidents = 1.0000 Date_of_death = Apr2016 incidents = 1.0000 Date_of_death = Mar2016 incidents = 1.0000 Date_of_death = Feb2016 incidents = 1.0000 Date_of_death = Jan2016 incidents = 6.0000 Date_of_death = Dec2015 incidents = 6.0000 Date_of_death = Nov2015 incidents = 6.0000 Date_of_death = Oct2015 incidents = 1.0000 Date_of_death = Sep2015 incidents = 6.0000 Date_of_death = Aug2015 incidents = 2.0000 Date_of_death = Jul2015 incidents = 1.0000 Date_of_death = Jun2015 incidents = 1.0000 Date_of_death = May2015 incidents = 1.0000 Date_of_death = Apr2015 incidents = 1.0000 Date_of_death = Mar2015 incidents = 2.0000 Date_of_death = Feb2015 incidents = 1.0000 Date_of_death = Jan2015 incidents = 6.0000 Date_of_death = Dec2014 incidents = 6.0000 Date_of_death = Nov2014 incidents = 6.0000 Date_of_death = Oct2014 incidents = 3.0000 Date_of_death = Sep2014 incidents = 2.0000 Date_of_death = Aug2014 incidents = 6.0000 Date_of_death = Jul2014 incidents = 6.0000 Date_of_death = Jun2014 incidents = 1.0000 Date_of_death = May2014 incidents = 3.0000 Date_of_death = Apr2014 incidents = 6.0000 Date_of_death = Mar2014 incidents = 4.0000 Date_of_death = Feb2014 incidents = 1.0000 Date_of_death = Jan2014 incidents = 2.0000 Date_of_death = Dec2013 incidents = 1.0000 Date_of_death = Nov2013 incidents = 2.0000 Date_of_death = Oct2013 incidents = 1.0000 Date_of_death = Sep2013 incidents = 1.0000 Date_of_death = Aug2013 incidents = 2.0000 Date_of_death = Jul2013 incidents = 1.0000 Date_of_death = Jun2013 incidents = 6.0000 Date_of_death = May2013 incidents = 6.0000 Date_of_death = Apr2013 incidents = 6.0000 Date_of_death = Mar2013 incidents = 1.0000 Date_of_death = Feb2013 incidents = 6.0000 Date_of_death = Jan2013 incidents = 6.0000 Date_of_death = Dec2012 incidents = 3.0000 Date_of_death = Nov2012 incidents = 1.0000 Date_of_death = Oct2012 incidents = 1.0000 Date_of_death = Sep2012 incidents = 1.0000 Date_of_death = Aug2012 incidents = 2.0000 Date_of_death = Jul2012 incidents = 6.0000 Date_of_death = Jun2012 incidents = 6.0000 Date_of_death = May2012 incidents = 1.0000 Date_of_death = Apr2012 incidents = 1.0000 Date_of_death = Mar2012 incidents = 6.0000 Date_of_death = Feb2012 incidents = 6.0000 Date_of_death = Jan2012 incidents = 3.0000 Date_of_death = Dec2011 incidents = 1.0000 Date_of_death = Nov2011 incidents = 1.0000 Date_of_death = Oct2011 incidents = 2.0000 Date_of_death = Sep2011 incidents = 1.0000 Date_of_death = Aug2011 incidents = 1.0000 Date_of_death = Jul2011 incidents = 3.0000 Date_of_death = Jun2011 incidents = 6.0000 Date_of_death = May2011 incidents = 6.0000 Date_of_death = Apr2011 incidents = 1.0000 Date_of_death = Mar2011 incidents = 1.0000 Date_of_death = Feb2011 incidents = 6.0000 Date_of_death = Jan2011 incidents = 1.0000 Date_of_death = Dec2010 incidents = 1.0000 Date_of_death = Nov2010 incidents = 6.0000 Date_of_death = Oct2010 incidents = 6.0000 Date_of_death = Sep2010 incidents = 6.0000 Date_of_death = Aug2010 incidents = 6.0000 Date_of_death = Jul2010 incidents = 6.0000 Date_of_death = Jun2010 incidents = 6.0000 Date_of_death = May2010 incidents = 6.0000 Date_of_death = Apr2010 incidents = 6.0000 Date_of_death = Mar2010 incidents = 6.0000 Date_of_death = Feb2010 incidents = 1.0000 Date_of_death = Jan2010 incidents = 6.0000 Date_of_death = Dec2009 incidents = 6.0000 Date_of_death = Nov2009 incidents = 1.0000 Date_of_death = Oct2009 incidents = 1.0000 Date_of_death = Sep2009 incidents = 6.0000 Date_of_death = Aug2009 incidents = 1.0000 Date_of_death = Jul2009 incidents = 1.0000 Date_of_death = Jun2009 incidents = 2.0000 Date_of_death = May2009 incidents = 4.0000 Date_of_death = Apr2009 incidents = 1.0000 Date_of_death = Mar2009 incidents = 1.0000 Date_of_death = Feb2009 incidents = 1.0000 Date_of_death = Jan2009 incidents = 1.0000 Date_of_death = Dec2008 incidents = 6.0000 Date_of_death = Nov2008 incidents = 6.0000 Date_of_death = Oct2008 incidents = 3.0000 Date_of_death = Sep2008 incidents = 3.0000 Date_of_death = Aug2008 incidents = 2.0000 Date_of_death = Jul2008 incidents = 6.0000 Date_of_death = Jun2008 incidents = 6.0000 Date_of_death = May2008 incidents = 6.0000 Date_of_death = Apr2008 incidents = 6.0000 Date_of_death = Mar2008 incidents = 2.0000 Date_of_death = Feb2008 incidents = 6.0000 Date_of_death = Jan2008 incidents = 2.0000 Date_of_death = Dec2007 incidents = 6.0000 Date_of_death = Nov2007 incidents = 1.0000 Date_of_death = Oct2007 incidents = 1.0000 Date_of_death = Sep2007 incidents = 1.0000 Date_of_death = Aug2007 incidents = 1.0000 Date_of_death = Jul2007 incidents = 1.0000 Date_of_death = Jun2007 incidents = 1.0000 Date_of_death = May2007 incidents = 1.0000 Date_of_death = Apr2007 incidents = 1.0000 Date_of_death = Mar2007 incidents = 1.0000 Date_of_death = Feb2007 incidents = 2.0000 Date_of_death = Jan2007 incidents = 2.0000 Date_of_death = Dec2006 incidents = 1.0000 Date_of_death = Nov2006 incidents = 6.0000 Date_of_death = Oct2006 incidents = 2.0000 Date_of_death = Sep2006 incidents = 1.0000 Date_of_death = Aug2006 incidents = 2.0000 Date_of_death = Jul2006 incidents = 6.0000 Date_of_death = Jun2006 incidents = 6.0000 Date_of_death = May2006 incidents = 1.0000 Date_of_death = Apr2006 incidents = 6.0000 Date_of_death = Mar2006 incidents = 6.0000 Date_of_death = Feb2006 incidents = 6.0000 Date_of_death = Jan2006 incidents = 6.0000 Date_of_death = Dec2005 incidents = 6.0000 Date_of_death = Nov2005 incidents = 6.0000 Date_of_death = Oct2005 incidents = 6.0000 Date_of_death = Sep2005 incidents = 6.0000 Date_of_death = Aug2005 incidents = 6.0000 Date_of_death = Jul2005 incidents = 6.0000 Date_of_death = Jun2005 incidents = 6.0000 Date_of_death = May2005 incidents = 3.0000 Date_of_death = Apr2005 incidents = 1.0000 Date_of_death = Mar2005 incidents = 4.0000 Date_of_death = Feb2005 incidents = 1.0000 Date_of_death = Jan2005 incidents = 1.0000 Date_of_death = Dec2004 incidents = 1.0000 Date_of_death = Nov2004 incidents = 6.0000 Date_of_death = Oct2004 incidents = 1.0000 Date_of_death = Sep2004 incidents = 6.0000 Date_of_death = Aug2004 incidents = 1.0000 Date_of_death = Jul2004 incidents = 6.0000 Date_of_death = Jun2004 incidents = 1.0000 Date_of_death = May2004 incidents = 6.0000 Date_of_death = Apr2004 incidents = 6.0000 Date_of_death = Mar2004 incidents = 6.0000 Date_of_death = Feb2004 incidents = 6.0000 Date_of_death = Jan2004 incidents = 2.0000 Date_of_death = Dec2003 incidents = 6.0000 Date_of_death = Nov2003 incidents = 1.0000 Date_of_death = Oct2003 incidents = 1.0000 Date_of_death = Sep2003 incidents = 1.0000 Date_of_death = Aug2003 incidents = 6.0000 Date_of_death = Jul2003 incidents = 6.0000 Date_of_death = Jun2003 incidents = 2.0000 Date_of_death = May2003 incidents = 6.0000 Date_of_death = Apr2003 incidents = 6.0000 Date_of_death = Mar2003 incidents = 1.0000 Date_of_death = Feb2003 incidents = 1.0000 Date_of_death = Jan2003 incidents = 1.0000 Date_of_death = Dec2002 incidents = 1.0000 Date_of_death = Nov2002 incidents = 6.0000 Date_of_death = Oct2002 incidents = 1.0000 Date_of_death = Sep2002 incidents = 6.0000 Date_of_death = Aug2002 incidents = 3.0000 Date_of_death = Jul2002 incidents = 2.0000 Date_of_death = Jun2002 incidents = 6.0000 Date_of_death = May2002 incidents = 6.0000 Date_of_death = Apr2002 incidents = 1.0000 Date_of_death = Mar2002 incidents = 6.0000 Date_of_death = Feb2002 incidents = 1.0000 Date_of_death = Jan2002 incidents = 6.0000 Date_of_death = Dec2001 incidents = 1.0000 Date_of_death = Nov2001 incidents = 1.0000 Date_of_death = Oct2001 incidents = 6.0000 Date_of_death = Sep2001 incidents = 6.0000 Date_of_death = Aug2001 incidents = 1.0000 Date_of_death = Jul2001 incidents = 6.0000 Date_of_death = Jun2001 incidents = 6.0000 Date_of_death = May2001 incidents = 6.0000 Date_of_death = Apr2001 incidents = 1.0000 Date_of_death = Mar2001 incidents = 6.0000 Date_of_death = Feb2001 incidents = 1.0000 Date_of_death = Jan2001 incidents = 1.0000 Date_of_death = Sep2020 Upper 95% = 7.6755 Lower 95% = -1.6400 Date_of_death = Aug2020 Upper 95% = 7.0711 Lower 95% = -2.2430 Date_of_death = Aug2020 Upper 95% = 7.0711 Lower 95% = -2.2430 Date_of_death = Jul2020 Upper 95% = 8.0167 Lower 95% = -1.2961 Date_of_death = Jul2020 Upper 95% = 8.0167 Lower 95% = -1.2961 Date_of_death = Jun2020 Upper 95% = 7.9123 Lower 95% = -1.3991 Date_of_death = Jun2020 Upper 95% = 7.9123 Lower 95% = -1.3991 Date_of_death = May2020 Upper 95% = 8.2579 Lower 95% = -1.0522 Date_of_death = May2020 Upper 95% = 8.2579 Lower 95% = -1.0522 Date_of_death = Apr2020 Upper 95% = 7.5535 Lower 95% = -1.7552 Date_of_death = Apr2020 Upper 95% = 7.5535 Lower 95% = -1.7552 Date_of_death = Mar2020 Upper 95% = 7.0991 Lower 95% = -2.2082 Date_of_death = Mar2020 Upper 95% = 7.0991 Lower 95% = -2.2082 Date_of_death = Feb2020 Upper 95% = 7.1947 Lower 95% = -2.1112 Date_of_death = Feb2020 Upper 95% = 7.1947 Lower 95% = -2.1112 Date_of_death = Jan2020 Upper 95% = 7.2903 Lower 95% = -2.0143 Date_of_death = Jan2020 Upper 95% = 7.2903 Lower 95% = -2.0143 Date_of_death = Dec2019 Upper 95% = 7.3711 Lower 95% = -1.9418 Date_of_death = Dec2019 Upper 95% = 7.3711 Lower 95% = -1.9418 Date_of_death = Nov2019 Upper 95% = 7.6822 Lower 95% = -1.6292 Date_of_death = Nov2019 Upper 95% = 7.6822 Lower 95% = -1.6292 Date_of_death = Oct2019 Upper 95% = 6.7828 Lower 95% = -2.5271
Forecast Plot

County=Los Angeles

Series Span Summary

Estimation Span

County=Los Angeles

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 OCT2019 238 0 1.00000 10.00000 3.80672 2.10796

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 OCT2019 238 0 1.00000 10.00000 3.80672 2.10796

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 3.53986
Level Error Variance 1.32745
Season Error Variance 4.14160

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -509.6
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 238
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 226
AIC (smaller is better) 1025.3
BIC (smaller is better) 1035.5
AICC (smaller is better) 1025.4
HQIC (smaller is better) 1029.4
CAIC (smaller is better) 1038.5
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 4.37697 0.42071 10.40 <.0001
Level Error Variance 0.00270 0.0048735 0.55 0.5796
Season Error Variance 4.166321E-7 0.0002095 0.00 0.9984

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 226
Mean Squared Error 5.37843
Root Mean Squared Error 2.31914
Mean Absolute Percentage Error 67.88967
Maximum Percent Error 80.56736
R-Square -0.25985
Adjusted R-Square -0.27115
Random Walk R-Square 0.37494
Amemiya's Adjusted R-Square -0.29375

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 8.69 0.0032
Level 1 122.42 <.0001
Season 11 10.43 0.4921

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.62765455 0.3278716

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 4.166321E-7

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error		 Chi-Square DF Pr > ChiSq
12 DEC2000 Additive Outlier 7.14669 2.1675592 10.87 1 0.0010
18 JUN2001 Additive Outlier 6.75180 2.1617751 9.75 1 0.0018
167 NOV2013 Additive Outlier 6.61972 2.1590547 9.40 1 0.0022

Residual Diagnostics Panel

Prediction Error = 9.8701 Percent = 0.0155 Prediction Error = 9.7451 Percent = 0.0232 Prediction Error = 9.7451 Percent = 0.0232 Prediction Error = 9.6202 Percent = 0.0338 Prediction Error = 9.6202 Percent = 0.0338 Prediction Error = 9.4953 Percent = 0.0479 Prediction Error = 9.4953 Percent = 0.0479 Prediction Error = 9.3703 Percent = 0.0662 Prediction Error = 9.3703 Percent = 0.0662 Prediction Error = 9.2454 Percent = 0.0889 Prediction Error = 9.2454 Percent = 0.0889 Prediction Error = 9.1204 Percent = 0.1163 Prediction Error = 9.1204 Percent = 0.1163 Prediction Error = 8.9955 Percent = 0.1483 Prediction Error = 8.9955 Percent = 0.1483 Prediction Error = 8.8706 Percent = 0.1843 Prediction Error = 8.8706 Percent = 0.1843 Prediction Error = 8.7456 Percent = 0.2235 Prediction Error = 8.7456 Percent = 0.2235 Prediction Error = 8.2459 Percent = 0.3924 Prediction Error = 8.2459 Percent = 0.3924 Prediction Error = 7.996 Percent = 0.4779 Prediction Error = 7.996 Percent = 0.4779 Prediction Error = 7.8711 Percent = 0.5242 Prediction Error = 7.8711 Percent = 0.5242 Prediction Error = 7.7462 Percent = 0.5763 Prediction Error = 7.7462 Percent = 0.5763 Prediction Error = 7.6212 Percent = 0.6373 Prediction Error = 7.6212 Percent = 0.6373 Prediction Error = 7.4963 Percent = 0.7105 Prediction Error = 7.4963 Percent = 0.7105 Prediction Error = 7.3714 Percent = 0.7987 Prediction Error = 7.3714 Percent = 0.7987 Prediction Error = 7.2464 Percent = 0.904 Prediction Error = 7.2464 Percent = 0.904 Prediction Error = 7.1215 Percent = 1.0268 Prediction Error = 7.1215 Percent = 1.0268 Prediction Error = 6.9966 Percent = 1.1663 Prediction Error = 6.9966 Percent = 1.1663 Prediction Error = 6.8716 Percent = 1.3199 Prediction Error = 6.8716 Percent = 1.3199 Prediction Error = 6.4968 Percent = 1.8193 Prediction Error = 6.4968 Percent = 1.8193 Prediction Error = 6.3719 Percent = 1.9791 Prediction Error = 6.3719 Percent = 1.9791 Prediction Error = 6.2469 Percent = 2.1257 Prediction Error = 6.2469 Percent = 2.1257 Prediction Error = 6.122 Percent = 2.254 Prediction Error = 6.122 Percent = 2.254 Prediction Error = 5.9971 Percent = 2.3607 Prediction Error = 5.9971 Percent = 2.3607 Prediction Error = 5.8721 Percent = 2.4445 Prediction Error = 5.8721 Percent = 2.4445 Prediction Error = 5.7472 Percent = 2.5063 Prediction Error = 5.7472 Percent = 2.5063 Prediction Error = 5.6223 Percent = 2.5501 Prediction Error = 5.6223 Percent = 2.5501 Prediction Error = 5.4973 Percent = 2.5827 Prediction Error = 5.4973 Percent = 2.5827 Prediction Error = 5.3724 Percent = 2.6132 Prediction Error = 5.3724 Percent = 2.6132 Prediction Error = 5.2475 Percent = 2.6532 Prediction Error = 5.2475 Percent = 2.6532 Prediction Error = 5.1225 Percent = 2.715 Prediction Error = 5.1225 Percent = 2.715 Prediction Error = 4.9976 Percent = 2.8111 Prediction Error = 4.9976 Percent = 2.8111 Prediction Error = 4.8727 Percent = 2.9527 Prediction Error = 4.8727 Percent = 2.9527 Prediction Error = 4.7477 Percent = 3.1484 Prediction Error = 4.7477 Percent = 3.1484 Prediction Error = 4.6228 Percent = 3.4033 Prediction Error = 4.6228 Percent = 3.4033 Prediction Error = 4.4979 Percent = 3.7185 Prediction Error = 4.4979 Percent = 3.7185 Prediction Error = 4.3729 Percent = 4.091 Prediction Error = 4.3729 Percent = 4.091 Prediction Error = 4.248 Percent = 4.5139 Prediction Error = 4.248 Percent = 4.5139 Prediction Error = 4.123 Percent = 4.9773 Prediction Error = 4.123 Percent = 4.9773 Prediction Error = 3.9981 Percent = 5.4698 Prediction Error = 3.9981 Percent = 5.4698 Prediction Error = 3.7482 Percent = 6.4937 Prediction Error = 3.7482 Percent = 6.4937 Prediction Error = 3.4984 Percent = 7.502 Prediction Error = 3.4984 Percent = 7.502 Prediction Error = 3.3734 Percent = 7.9846 Prediction Error = 3.3734 Percent = 7.9846 Prediction Error = 3.2485 Percent = 8.4512 Prediction Error = 3.2485 Percent = 8.4512 Prediction Error = 2.9986 Percent = 9.3526 Prediction Error = 2.9986 Percent = 9.3526 Prediction Error = 2.7488 Percent = 10.266 Prediction Error = 2.7488 Percent = 10.266 Prediction Error = 2.6238 Percent = 10.752 Prediction Error = 2.6238 Percent = 10.752 Prediction Error = 2.4989 Percent = 11.27 Prediction Error = 2.4989 Percent = 11.27 Prediction Error = 2.374 Percent = 11.827 Prediction Error = 2.374 Percent = 11.827 Prediction Error = 2.249 Percent = 12.426 Prediction Error = 2.249 Percent = 12.426 Prediction Error = 2.1241 Percent = 13.065 Prediction Error = 2.1241 Percent = 13.065 Prediction Error = 1.9992 Percent = 13.741 Prediction Error = 1.9992 Percent = 13.741 Prediction Error = 1.7493 Percent = 15.171 Prediction Error = 1.7493 Percent = 15.171 Prediction Error = 1.4994 Percent = 16.666 Prediction Error = 1.4994 Percent = 16.666 Prediction Error = 1.2495 Percent = 18.228 Prediction Error = 1.2495 Percent = 18.228 Prediction Error = 1.1246 Percent = 19.052 Prediction Error = 1.1246 Percent = 19.052 Prediction Error = 0.9997 Percent = 19.921 Prediction Error = 0.9997 Percent = 19.921 Prediction Error = 0.8747 Percent = 20.843 Prediction Error = 0.8747 Percent = 20.843 Prediction Error = 0.7498 Percent = 21.82 Prediction Error = 0.7498 Percent = 21.82 Prediction Error = 0.375 Percent = 24.961 Prediction Error = 0.375 Percent = 24.961 Prediction Error = 0.2501 Percent = 25.982 Prediction Error = 0.2501 Percent = 25.982 Prediction Error = 0.1251 Percent = 26.92 Prediction Error = 0.1251 Percent = 26.92 Prediction Error = 0.0002 Percent = 27.732 Prediction Error = 0.0002 Percent = 27.732 Prediction Error = -0.125 Percent = 28.377 Prediction Error = -0.125 Percent = 28.377 Prediction Error = -0.25 Percent = 28.824 Prediction Error = -0.25 Percent = 28.824 Prediction Error = -0.375 Percent = 29.054 Prediction Error = -0.375 Percent = 29.054 Prediction Error = -0.5 Percent = 29.063 Prediction Error = -0.5 Percent = 29.063 Prediction Error = -0.624 Percent = 28.859 Prediction Error = -0.624 Percent = 28.859 Prediction Error = -0.749 Percent = 28.464 Prediction Error = -0.749 Percent = 28.464 Prediction Error = -0.874 Percent = 27.905 Prediction Error = -0.874 Percent = 27.905 Prediction Error = -0.999 Percent = 27.218 Prediction Error = -0.999 Percent = 27.218 Prediction Error = -1.124 Percent = 26.436 Prediction Error = -1.124 Percent = 26.436 Prediction Error = -1.249 Percent = 25.591 Prediction Error = -1.249 Percent = 25.591 Prediction Error = -2.124 Percent = 19.318 Prediction Error = -2.124 Percent = 19.318 Prediction Error = -2.374 Percent = 17.447 Prediction Error = -2.374 Percent = 17.447 Prediction Error = -2.623 Percent = 15.473 Prediction Error = -2.623 Percent = 15.473 Prediction Error = -2.998 Percent = 12.343 Prediction Error = -2.998 Percent = 12.343 Prediction Error = -3.373 Percent = 9.1917 Prediction Error = -3.373 Percent = 9.1917 Prediction Error = -3.498 Percent = 8.1873 Prediction Error = -3.498 Percent = 8.1873 Prediction Error = -3.623 Percent = 7.225 Prediction Error = -3.623 Percent = 7.225 Prediction Error = -3.748 Percent = 6.3153 Prediction Error = -3.748 Percent = 6.3153 Prediction Error = -3.873 Percent = 5.4675 Prediction Error = -3.873 Percent = 5.4675 Prediction Error = -3.998 Percent = 4.689 Prediction Error = -3.998 Percent = 4.689 Prediction Error = -4.123 Percent = 3.9851 Prediction Error = -4.123 Percent = 3.9851 Prediction Error = -4.248 Percent = 3.3587 Prediction Error = -4.248 Percent = 3.3587 Prediction Error = -4.373 Percent = 2.8104 Prediction Error = -4.373 Percent = 2.8104 Prediction Error = -4.497 Percent = 2.3385 Prediction Error = -4.497 Percent = 2.3385 Prediction Error = -4.622 Percent = 1.9393 Prediction Error = -4.622 Percent = 1.9393 Prediction Error = -4.747 Percent = 1.6076 Prediction Error = -4.747 Percent = 1.6076 Prediction Error = -4.872 Percent = 1.3368 Prediction Error = -4.872 Percent = 1.3368 Prediction Error = -4.997 Percent = 1.12 Prediction Error = -4.997 Percent = 1.12 Prediction Error = -5.122 Percent = 0.9496 Prediction Error = -5.122 Percent = 0.9496 Prediction Error = -5.247 Percent = 0.818 Prediction Error = -5.247 Percent = 0.818 Prediction Error = -5.372 Percent = 0.718 Prediction Error = -5.372 Percent = 0.718 Prediction Error = -5.497 Percent = 0.6426 Prediction Error = -5.497 Percent = 0.6426 Prediction Error = -5.622 Percent = 0.5854 Prediction Error = -5.622 Percent = 0.5854 Prediction Error = -5.747 Percent = 0.541 Prediction Error = -5.747 Percent = 0.541 Prediction Error = -5.872 Percent = 0.5046 Prediction Error = -5.872 Percent = 0.5046 Prediction Error = -5.997 Percent = 0.4727 Prediction Error = -5.997 Percent = 0.4727 Prediction Error = -6.122 Percent = 0.4431 Prediction Error = -6.122 Percent = 0.4431 Prediction Error = -6.247 Percent = 0.4143 Prediction Error = -6.247 Percent = 0.4143 Prediction Error = -6.371 Percent = 0.3865 Prediction Error = -6.371 Percent = 0.3865 Prediction Error = -6.496 Percent = 0.3603 Prediction Error = -6.496 Percent = 0.3603 Prediction Error = -6.621 Percent = 0.3372 Prediction Error = -6.621 Percent = 0.3372 Prediction Error = -6.746 Percent = 0.3185 Prediction Error = -6.746 Percent = 0.3185 Prediction Error = -6.871 Percent = 0.3058 Prediction Error = -6.871 Percent = 0.3058 Prediction Error = -6.996 Percent = 0.2999 Prediction Error = -6.996 Percent = 0.2999 Prediction Error = -7.121 Percent = 0.3009 Prediction Error = -7.121 Percent = 0.3009 Prediction Error = -7.246 Percent = 0.3081 Prediction Error = -7.246 Percent = 0.3081 Prediction Error = -7.371 Percent = 0.3199 Prediction Error = -7.371 Percent = 0.3199 Prediction Error = -7.621 Percent = 0.3483 Prediction Error = -7.621 Percent = 0.3483 Prediction Error = -7.746 Percent = 0.3595 Prediction Error = -7.746 Percent = 0.3595 Prediction Error = -7.871 Percent = 0.3655 Prediction Error = -7.871 Percent = 0.3655 Prediction Error = -7.996 Percent = 0.3646 Prediction Error = -7.996 Percent = 0.3646 Prediction Error = -8.121 Percent = 0.3557 Prediction Error = -8.121 Percent = 0.3557 Prediction Error = -8.246 Percent = 0.3387 Prediction Error = -8.246 Percent = 0.3387 Prediction Error = -8.37 Percent = 0.3145 Prediction Error = -8.37 Percent = 0.3145 Prediction Error = -8.495 Percent = 0.2845 Prediction Error = -8.495 Percent = 0.2845 Prediction Error = -8.87 Percent = 0.1791 Prediction Error = -8.87 Percent = 0.1791 Prediction Error = -8.995 Percent = 0.1452 Prediction Error = -8.995 Percent = 0.1452 Prediction Error = -9.12 Percent = 0.1146 Prediction Error = -9.12 Percent = 0.1146 Prediction Error = -9.245 Percent = 0.088 Prediction Error = -9.245 Percent = 0.088 Prediction Error = -9.37 Percent = 0.0657 Prediction Error = -9.37 Percent = 0.0657 Prediction Error = -9.495 Percent = 0.0477 Prediction Error = -9.495 Percent = 0.0477 Prediction Error = -9.62 Percent = 0.0337 Prediction Error = -9.62 Percent = 0.0337 Prediction Error = -9.745 Percent = 0.0231 Prediction Error = -9.745 Percent = 0.0231 Prediction Error = -9.87 Percent = 0.0154 Prediction Error = 8.25 Percent = 0.0476 Prediction Error = 8.1667 Percent = 0.0541 Prediction Error = 8.1667 Percent = 0.0541 Prediction Error = 8.0833 Percent = 0.0613 Prediction Error = 8.0833 Percent = 0.0613 Prediction Error = 8 Percent = 0.0694 Prediction Error = 8 Percent = 0.0694 Prediction Error = 7.9167 Percent = 0.0784 Prediction Error = 7.9167 Percent = 0.0784 Prediction Error = 7.8333 Percent = 0.0886 Prediction Error = 7.8333 Percent = 0.0886 Prediction Error = 7.75 Percent = 0.0999 Prediction Error = 7.75 Percent = 0.0999 Prediction Error = 7.6667 Percent = 0.1125 Prediction Error = 7.6667 Percent = 0.1125 Prediction Error = 7.5833 Percent = 0.1265 Prediction Error = 7.5833 Percent = 0.1265 Prediction Error = 7.5 Percent = 0.1421 Prediction Error = 7.5 Percent = 0.1421 Prediction Error = 7.4167 Percent = 0.1594 Prediction Error = 7.4167 Percent = 0.1594 Prediction Error = 7.3333 Percent = 0.1786 Prediction Error = 7.3333 Percent = 0.1786 Prediction Error = 7.25 Percent = 0.1998 Prediction Error = 7.25 Percent = 0.1998 Prediction Error = 7.1667 Percent = 0.2233 Prediction Error = 7.1667 Percent = 0.2233 Prediction Error = 7.0833 Percent = 0.2492 Prediction Error = 7.0833 Percent = 0.2492 Prediction Error = 7 Percent = 0.2778 Prediction Error = 7 Percent = 0.2778 Prediction Error = 6.9167 Percent = 0.3093 Prediction Error = 6.9167 Percent = 0.3093 Prediction Error = 6.8333 Percent = 0.3439 Prediction Error = 6.8333 Percent = 0.3439 Prediction Error = 6.75 Percent = 0.3818 Prediction Error = 6.75 Percent = 0.3818 Prediction Error = 6.6667 Percent = 0.4234 Prediction Error = 6.6667 Percent = 0.4234 Prediction Error = 6.5833 Percent = 0.4689 Prediction Error = 6.5833 Percent = 0.4689 Prediction Error = 6.5 Percent = 0.5187 Prediction Error = 6.5 Percent = 0.5187 Prediction Error = 6.4167 Percent = 0.573 Prediction Error = 6.4167 Percent = 0.573 Prediction Error = 6.3333 Percent = 0.6321 Prediction Error = 6.3333 Percent = 0.6321 Prediction Error = 6.25 Percent = 0.6965 Prediction Error = 6.25 Percent = 0.6965 Prediction Error = 6.1667 Percent = 0.7665 Prediction Error = 6.1667 Percent = 0.7665 Prediction Error = 6.0833 Percent = 0.8423 Prediction Error = 6.0833 Percent = 0.8423 Prediction Error = 6 Percent = 0.9246 Prediction Error = 6 Percent = 0.9246 Prediction Error = 5.9167 Percent = 1.0135 Prediction Error = 5.9167 Percent = 1.0135 Prediction Error = 5.8333 Percent = 1.1095 Prediction Error = 5.8333 Percent = 1.1095 Prediction Error = 5.75 Percent = 1.2131 Prediction Error = 5.75 Percent = 1.2131 Prediction Error = 5.6667 Percent = 1.3247 Prediction Error = 5.6667 Percent = 1.3247 Prediction Error = 5.5833 Percent = 1.4447 Prediction Error = 5.5833 Percent = 1.4447 Prediction Error = 5.5 Percent = 1.5735 Prediction Error = 5.5 Percent = 1.5735 Prediction Error = 5.4167 Percent = 1.7116 Prediction Error = 5.4167 Percent = 1.7116 Prediction Error = 5.3333 Percent = 1.8594 Prediction Error = 5.3333 Percent = 1.8594 Prediction Error = 5.25 Percent = 2.0174 Prediction Error = 5.25 Percent = 2.0174 Prediction Error = 5.1667 Percent = 2.186 Prediction Error = 5.1667 Percent = 2.186 Prediction Error = 5.0833 Percent = 2.3657 Prediction Error = 5.0833 Percent = 2.3657 Prediction Error = 5 Percent = 2.5568 Prediction Error = 5 Percent = 2.5568 Prediction Error = 4.9167 Percent = 2.7599 Prediction Error = 4.9167 Percent = 2.7599 Prediction Error = 4.8333 Percent = 2.9752 Prediction Error = 4.8333 Percent = 2.9752 Prediction Error = 4.75 Percent = 3.2032 Prediction Error = 4.75 Percent = 3.2032 Prediction Error = 4.6667 Percent = 3.4443 Prediction Error = 4.6667 Percent = 3.4443 Prediction Error = 4.5833 Percent = 3.6987 Prediction Error = 4.5833 Percent = 3.6987 Prediction Error = 4.5 Percent = 3.9668 Prediction Error = 4.5 Percent = 3.9668 Prediction Error = 4.4167 Percent = 4.2489 Prediction Error = 4.4167 Percent = 4.2489 Prediction Error = 4.3333 Percent = 4.5452 Prediction Error = 4.3333 Percent = 4.5452 Prediction Error = 4.25 Percent = 4.856 Prediction Error = 4.25 Percent = 4.856 Prediction Error = 4.1667 Percent = 5.1813 Prediction Error = 4.1667 Percent = 5.1813 Prediction Error = 4.0833 Percent = 5.5213 Prediction Error = 4.0833 Percent = 5.5213 Prediction Error = 4 Percent = 5.8761 Prediction Error = 4 Percent = 5.8761 Prediction Error = 3.9167 Percent = 6.2456 Prediction Error = 3.9167 Percent = 6.2456 Prediction Error = 3.8333 Percent = 6.6298 Prediction Error = 3.8333 Percent = 6.6298 Prediction Error = 3.75 Percent = 7.0286 Prediction Error = 3.75 Percent = 7.0286 Prediction Error = 3.6667 Percent = 7.4419 Prediction Error = 3.6667 Percent = 7.4419 Prediction Error = 3.5833 Percent = 7.8693 Prediction Error = 3.5833 Percent = 7.8693 Prediction Error = 3.5 Percent = 8.3106 Prediction Error = 3.5 Percent = 8.3106 Prediction Error = 3.3333 Percent = 9.2331 Prediction Error = 3.3333 Percent = 9.2331 Prediction Error = 3.1667 Percent = 10.205 Prediction Error = 3.1667 Percent = 10.205 Prediction Error = 3 Percent = 11.222 Prediction Error = 3 Percent = 11.222 Prediction Error = 2.0833 Percent = 17.26 Prediction Error = 2.0833 Percent = 17.26 Prediction Error = 1.8333 Percent = 18.893 Prediction Error = 1.8333 Percent = 18.893 Prediction Error = 1.6667 Percent = 19.938 Prediction Error = 1.6667 Percent = 19.938 Prediction Error = 1.5 Percent = 20.933 Prediction Error = 1.5 Percent = 20.933 Prediction Error = 1.4167 Percent = 21.408 Prediction Error = 1.4167 Percent = 21.408 Prediction Error = 1.3333 Percent = 21.865 Prediction Error = 1.3333 Percent = 21.865 Prediction Error = 1.25 Percent = 22.304 Prediction Error = 1.25 Percent = 22.304 Prediction Error = 1.1667 Percent = 22.722 Prediction Error = 1.1667 Percent = 22.722 Prediction Error = 1.0833 Percent = 23.118 Prediction Error = 1.0833 Percent = 23.118 Prediction Error = 1 Percent = 23.49 Prediction Error = 1 Percent = 23.49 Prediction Error = 0.9167 Percent = 23.838 Prediction Error = 0.9167 Percent = 23.838 Prediction Error = 0.8333 Percent = 24.161 Prediction Error = 0.8333 Percent = 24.161 Prediction Error = 0.75 Percent = 24.456 Prediction Error = 0.75 Percent = 24.456 Prediction Error = 0.6667 Percent = 24.723 Prediction Error = 0.6667 Percent = 24.723 Prediction Error = 0.5833 Percent = 24.96 Prediction Error = 0.5833 Percent = 24.96 Prediction Error = 0.5 Percent = 25.168 Prediction Error = 0.5 Percent = 25.168 Prediction Error = 0.4167 Percent = 25.345 Prediction Error = 0.4167 Percent = 25.345 Prediction Error = 0.3333 Percent = 25.49 Prediction Error = 0.3333 Percent = 25.49 Prediction Error = 0.25 Percent = 25.603 Prediction Error = 0.25 Percent = 25.603 Prediction Error = 0.1667 Percent = 25.684 Prediction Error = 0.1667 Percent = 25.684 Prediction Error = 0.0833 Percent = 25.731 Prediction Error = 0.0833 Percent = 25.731 Prediction Error = 0.0047 Percent = 25.746 Prediction Error = 0.0047 Percent = 25.746 Prediction Error = -1E-14 Percent = 25.746 Prediction Error = -1E-14 Percent = 25.746 Prediction Error = -0.083 Percent = 25.728 Prediction Error = -0.083 Percent = 25.728 Prediction Error = -0.167 Percent = 25.676 Prediction Error = -0.167 Percent = 25.676 Prediction Error = -0.25 Percent = 25.592 Prediction Error = -0.25 Percent = 25.592 Prediction Error = -0.333 Percent = 25.475 Prediction Error = -0.333 Percent = 25.475 Prediction Error = -0.417 Percent = 25.327 Prediction Error = -0.417 Percent = 25.327 Prediction Error = -0.5 Percent = 25.146 Prediction Error = -0.5 Percent = 25.146 Prediction Error = -0.583 Percent = 24.935 Prediction Error = -0.583 Percent = 24.935 Prediction Error = -0.667 Percent = 24.694 Prediction Error = -0.667 Percent = 24.694 Prediction Error = -0.75 Percent = 24.424 Prediction Error = -0.75 Percent = 24.424 Prediction Error = -0.833 Percent = 24.126 Prediction Error = -0.833 Percent = 24.126 Prediction Error = -0.917 Percent = 23.801 Prediction Error = -0.917 Percent = 23.801 Prediction Error = -1 Percent = 23.45 Prediction Error = -1 Percent = 23.45 Prediction Error = -1.083 Percent = 23.074 Prediction Error = -1.083 Percent = 23.074 Prediction Error = -1.167 Percent = 22.676 Prediction Error = -1.167 Percent = 22.676 Prediction Error = -1.25 Percent = 22.255 Prediction Error = -1.25 Percent = 22.255 Prediction Error = -1.333 Percent = 21.815 Prediction Error = -1.333 Percent = 21.815 Prediction Error = -1.417 Percent = 21.356 Prediction Error = -1.417 Percent = 21.356 Prediction Error = -1.5 Percent = 20.879 Prediction Error = -1.5 Percent = 20.879 Prediction Error = -1.667 Percent = 19.881 Prediction Error = -1.667 Percent = 19.881 Prediction Error = -2.583 Percent = 13.851 Prediction Error = -2.583 Percent = 13.851 Prediction Error = -2.833 Percent = 12.217 Prediction Error = -2.833 Percent = 12.217 Prediction Error = -3 Percent = 11.164 Prediction Error = -3 Percent = 11.164 Prediction Error = -3.167 Percent = 10.15 Prediction Error = -3.167 Percent = 10.15 Prediction Error = -3.333 Percent = 9.1801 Prediction Error = -3.333 Percent = 9.1801 Prediction Error = -3.5 Percent = 8.2605 Prediction Error = -3.5 Percent = 8.2605 Prediction Error = -3.583 Percent = 7.8208 Prediction Error = -3.583 Percent = 7.8208 Prediction Error = -3.667 Percent = 7.3949 Prediction Error = -3.667 Percent = 7.3949 Prediction Error = -3.75 Percent = 6.9833 Prediction Error = -3.75 Percent = 6.9833 Prediction Error = -3.833 Percent = 6.5861 Prediction Error = -3.833 Percent = 6.5861 Prediction Error = -3.917 Percent = 6.2035 Prediction Error = -3.917 Percent = 6.2035 Prediction Error = -4 Percent = 5.8356 Prediction Error = -4 Percent = 5.8356 Prediction Error = -4.083 Percent = 5.4825 Prediction Error = -4.083 Percent = 5.4825 Prediction Error = -4.167 Percent = 5.1442 Prediction Error = -4.167 Percent = 5.1442 Prediction Error = -4.25 Percent = 4.8205 Prediction Error = -4.25 Percent = 4.8205 Prediction Error = -4.333 Percent = 4.5114 Prediction Error = -4.333 Percent = 4.5114 Prediction Error = -4.417 Percent = 4.2167 Prediction Error = -4.417 Percent = 4.2167 Prediction Error = -4.5 Percent = 3.9361 Prediction Error = -4.5 Percent = 3.9361 Prediction Error = -4.583 Percent = 3.6696 Prediction Error = -4.583 Percent = 3.6696 Prediction Error = -4.667 Percent = 3.4166 Prediction Error = -4.667 Percent = 3.4166 Prediction Error = -4.75 Percent = 3.1771 Prediction Error = -4.75 Percent = 3.1771 Prediction Error = -4.833 Percent = 2.9505 Prediction Error = -4.833 Percent = 2.9505 Prediction Error = -4.917 Percent = 2.7366 Prediction Error = -4.917 Percent = 2.7366 Prediction Error = -5 Percent = 2.5349 Prediction Error = -5 Percent = 2.5349 Prediction Error = -5.083 Percent = 2.345 Prediction Error = -5.083 Percent = 2.345 Prediction Error = -5.167 Percent = 2.1666 Prediction Error = -5.167 Percent = 2.1666 Prediction Error = -5.25 Percent = 1.9992 Prediction Error = -5.25 Percent = 1.9992 Prediction Error = -5.333 Percent = 1.8424 Prediction Error = -5.333 Percent = 1.8424 Prediction Error = -5.417 Percent = 1.6957 Prediction Error = -5.417 Percent = 1.6957 Prediction Error = -5.5 Percent = 1.5586 Prediction Error = -5.5 Percent = 1.5586 Prediction Error = -5.583 Percent = 1.4308 Prediction Error = -5.583 Percent = 1.4308 Prediction Error = -5.667 Percent = 1.3118 Prediction Error = -5.667 Percent = 1.3118 Prediction Error = -5.75 Percent = 1.2012 Prediction Error = -5.75 Percent = 1.2012 Prediction Error = -5.833 Percent = 1.0984 Prediction Error = -5.833 Percent = 1.0984 Prediction Error = -5.917 Percent = 1.0032 Prediction Error = -5.917 Percent = 1.0032 Prediction Error = -6 Percent = 0.915 Prediction Error = -6 Percent = 0.915 Prediction Error = -6.083 Percent = 0.8335 Prediction Error = -6.083 Percent = 0.8335 Prediction Error = -6.167 Percent = 0.7583 Prediction Error = -6.167 Percent = 0.7583 Prediction Error = -6.25 Percent = 0.689 Prediction Error = -6.25 Percent = 0.689 Prediction Error = -6.333 Percent = 0.6253 Prediction Error = -6.333 Percent = 0.6253 Prediction Error = -6.417 Percent = 0.5667 Prediction Error = -6.417 Percent = 0.5667 Prediction Error = -6.5 Percent = 0.5129 Prediction Error = -6.5 Percent = 0.5129 Prediction Error = -6.583 Percent = 0.4636 Prediction Error = -6.583 Percent = 0.4636 Prediction Error = -6.667 Percent = 0.4186 Prediction Error = -6.667 Percent = 0.4186 Prediction Error = -6.75 Percent = 0.3774 Prediction Error = -6.75 Percent = 0.3774 Prediction Error = -6.833 Percent = 0.3398 Prediction Error = -6.833 Percent = 0.3398 Prediction Error = -6.917 Percent = 0.3056 Prediction Error = -6.917 Percent = 0.3056 Prediction Error = -7 Percent = 0.2745 Prediction Error = -7 Percent = 0.2745 Prediction Error = -7.083 Percent = 0.2462 Prediction Error = -7.083 Percent = 0.2462 Prediction Error = -7.167 Percent = 0.2206 Prediction Error = -7.167 Percent = 0.2206 Prediction Error = -7.25 Percent = 0.1973 Prediction Error = -7.25 Percent = 0.1973 Prediction Error = -7.333 Percent = 0.1763 Prediction Error = -7.333 Percent = 0.1763 Prediction Error = -7.417 Percent = 0.1574 Prediction Error = -7.417 Percent = 0.1574 Prediction Error = -7.5 Percent = 0.1403 Prediction Error = -7.5 Percent = 0.1403 Prediction Error = -7.583 Percent = 0.1248 Prediction Error = -7.583 Percent = 0.1248 Prediction Error = -7.667 Percent = 0.111 Prediction Error = -7.667 Percent = 0.111 Prediction Error = -7.75 Percent = 0.0985 Prediction Error = -7.75 Percent = 0.0985 Prediction Error = -7.833 Percent = 0.0874 Prediction Error = -7.833 Percent = 0.0874 Prediction Error = -7.917 Percent = 0.0774 Prediction Error = -7.917 Percent = 0.0774 Prediction Error = -8 Percent = 0.0684 Prediction Error = -8 Percent = 0.0684 Prediction Error = -8.083 Percent = 0.0604 Prediction Error = -8.083 Percent = 0.0604 Prediction Error = -8.167 Percent = 0.0533 Prediction Error = -8.167 Percent = 0.0533 Prediction Error = -8.25 Percent = 0.047 Prediction Error = 7.5 Percent = 0.4425 Prediction Error = 7.5 Percent = 0.4425 Prediction Error = 6 Percent = 3.0973 Prediction Error = 6 Percent = 3.0973 Prediction Error = 4.5 Percent = 3.5398 Prediction Error = 4.5 Percent = 3.5398 Prediction Error = 3 Percent = 8.4071 Prediction Error = 3 Percent = 8.4071 Prediction Error = 1.5 Percent = 17.257 Prediction Error = 1.5 Percent = 17.257 Prediction Error = 0 Percent = 29.204 Prediction Error = 0 Percent = 29.204 Prediction Error = -1.5 Percent = 22.566 Prediction Error = -1.5 Percent = 22.566 Prediction Error = -3 Percent = 12.832 Prediction Error = -3 Percent = 12.832 Prediction Error = -4.5 Percent = 1.7699 Prediction Error = -4.5 Percent = 1.7699 Prediction Error = -6 Percent = 0.4425 Prediction Error = -6 Percent = 0.4425 Prediction Error = -7.5 Percent = 0.4425 Prediction Error = -7.5 Percent = 0.4425 Quantile = 2.7747 Residual = 7.996 Quantile = 2.448 Residual = 6.5379 Quantile = 2.2701 Residual = 6.4342 Quantile = 2.1439 Residual = 6.2178 Quantile = 2.0447 Residual = 5.6919 Quantile = 1.9623 Residual = 5.6728 Quantile = 1.8915 Residual = 5.5417 Quantile = 1.829 Residual = 5.3227 Quantile = 1.7729 Residual = 5.1866 Quantile = 1.7219 Residual = 4.122 Quantile = 1.6751 Residual = 4.0417 Quantile = 1.6316 Residual = 4.0284 Quantile = 1.591 Residual = 3.9848 Quantile = 1.5529 Residual = 3.8974 Quantile = 1.5169 Residual = 3.8904 Quantile = 1.4828 Residual = 3.8392 Quantile = 1.4503 Residual = 3.3663 Quantile = 1.4193 Residual = 3.3382 Quantile = 1.3896 Residual = 3.3066 Quantile = 1.3611 Residual = 3.2481 Quantile = 1.3336 Residual = 3.2397 Quantile = 1.3072 Residual = 3.2345 Quantile = 1.2816 Residual = 3.2265 Quantile = 1.2568 Residual = 3.0912 Quantile = 1.2327 Residual = 3.0491 Quantile = 1.2094 Residual = 2.9628 Quantile = 1.1867 Residual = 2.8563 Quantile = 1.1646 Residual = 2.7579 Quantile = 1.143 Residual = 2.7206 Quantile = 1.122 Residual = 2.643 Quantile = 1.1014 Residual = 2.6428 Quantile = 1.0813 Residual = 2.6236 Quantile = 1.0616 Residual = 2.3752 Quantile = 1.0424 Residual = 2.3357 Quantile = 1.0235 Residual = 2.2788 Quantile = 1.005 Residual = 2.24 Quantile = 0.9868 Residual = 2.2372 Quantile = 0.9689 Residual = 2.0727 Quantile = 0.9513 Residual = 2.0699 Quantile = 0.9341 Residual = 2.0111 Quantile = 0.9171 Residual = 2.003 Quantile = 0.9003 Residual = 1.9375 Quantile = 0.8838 Residual = 1.8004 Quantile = 0.8676 Residual = 1.7725 Quantile = 0.8515 Residual = 1.7668 Quantile = 0.8357 Residual = 1.6523 Quantile = 0.8201 Residual = 1.6119 Quantile = 0.8047 Residual = 1.5328 Quantile = 0.7895 Residual = 1.5194 Quantile = 0.7744 Residual = 1.5098 Quantile = 0.7596 Residual = 1.4661 Quantile = 0.7449 Residual = 1.4562 Quantile = 0.7303 Residual = 1.3754 Quantile = 0.7159 Residual = 1.3541 Quantile = 0.7017 Residual = 1.3262 Quantile = 0.6876 Residual = 1.3093 Quantile = 0.6736 Residual = 1.2899 Quantile = 0.6598 Residual = 1.2482 Quantile = 0.6461 Residual = 1.2251 Quantile = 0.6325 Residual = 1.2199 Quantile = 0.619 Residual = 1.2121 Quantile = 0.6056 Residual = 1.2087 Quantile = 0.5924 Residual = 1.1982 Quantile = 0.5792 Residual = 1.1635 Quantile = 0.5662 Residual = 1.1432 Quantile = 0.5532 Residual = 1.1259 Quantile = 0.5404 Residual = 1.0862 Quantile = 0.5276 Residual = 1.0403 Quantile = 0.5149 Residual = 1.0355 Quantile = 0.5023 Residual = 1.0034 Quantile = 0.4898 Residual = 0.9829 Quantile = 0.4773 Residual = 0.944 Quantile = 0.4649 Residual = 0.8567 Quantile = 0.4526 Residual = 0.8551 Quantile = 0.4404 Residual = 0.7103 Quantile = 0.4282 Residual = 0.5896 Quantile = 0.4161 Residual = 0.5208 Quantile = 0.404 Residual = 0.4606 Quantile = 0.392 Residual = 0.4493 Quantile = 0.3801 Residual = 0.3975 Quantile = 0.3682 Residual = 0.3077 Quantile = 0.3564 Residual = 0.2322 Quantile = 0.3446 Residual = 0.2183 Quantile = 0.3329 Residual = 0.2094 Quantile = 0.3212 Residual = 0.2031 Quantile = 0.3095 Residual = 0.153 Quantile = 0.2979 Residual = 0.136 Quantile = 0.2864 Residual = 0.134 Quantile = 0.2749 Residual = 0.1226 Quantile = 0.2634 Residual = 0.1182 Quantile = 0.2519 Residual = 0.1105 Quantile = 0.2405 Residual = 0.1103 Quantile = 0.2291 Residual = 0.0736 Quantile = 0.2177 Residual = 0.0676 Quantile = 0.2064 Residual = 0.0658 Quantile = 0.1951 Residual = 0.0452 Quantile = 0.1838 Residual = 0.0442 Quantile = 0.1726 Residual = 0.0171 Quantile = 0.1613 Residual = 0.0159 Quantile = 0.1501 Residual = 0.0041 Quantile = 0.1389 Residual = 0.0038 Quantile = 0.1278 Residual = 27E-16 Quantile = 0.1166 Residual = -0.002 Quantile = 0.1054 Residual = -0.011 Quantile = 0.0943 Residual = -0.03 Quantile = 0.0832 Residual = -0.052 Quantile = 0.0721 Residual = -0.053 Quantile = 0.061 Residual = -0.072 Quantile = 0.0499 Residual = -0.073 Quantile = 0.0388 Residual = -0.085 Quantile = 0.0277 Residual = -0.194 Quantile = 0.0166 Residual = -0.215 Quantile = 0.0055 Residual = -0.218 Quantile = -0.006 Residual = -0.26 Quantile = -0.017 Residual = -0.275 Quantile = -0.028 Residual = -0.276 Quantile = -0.039 Residual = -0.284 Quantile = -0.05 Residual = -0.285 Quantile = -0.061 Residual = -0.288 Quantile = -0.072 Residual = -0.295 Quantile = -0.083 Residual = -0.345 Quantile = -0.094 Residual = -0.377 Quantile = -0.105 Residual = -0.394 Quantile = -0.117 Residual = -0.395 Quantile = -0.128 Residual = -0.466 Quantile = -0.139 Residual = -0.467 Quantile = -0.15 Residual = -0.481 Quantile = -0.161 Residual = -0.508 Quantile = -0.173 Residual = -0.554 Quantile = -0.184 Residual = -0.554 Quantile = -0.195 Residual = -0.589 Quantile = -0.206 Residual = -0.65 Quantile = -0.218 Residual = -0.657 Quantile = -0.229 Residual = -0.674 Quantile = -0.24 Residual = -0.675 Quantile = -0.252 Residual = -0.687 Quantile = -0.263 Residual = -0.688 Quantile = -0.275 Residual = -0.696 Quantile = -0.286 Residual = -0.697 Quantile = -0.298 Residual = -0.72 Quantile = -0.31 Residual = -0.788 Quantile = -0.321 Residual = -0.832 Quantile = -0.333 Residual = -0.856 Quantile = -0.345 Residual = -0.869 Quantile = -0.356 Residual = -0.887 Quantile = -0.368 Residual = -0.905 Quantile = -0.38 Residual = -0.908 Quantile = -0.392 Residual = -0.95 Quantile = -0.404 Residual = -0.956 Quantile = -0.416 Residual = -0.961 Quantile = -0.428 Residual = -0.977 Quantile = -0.44 Residual = -0.983 Quantile = -0.453 Residual = -1 Quantile = -0.465 Residual = -1 Quantile = -0.477 Residual = -1.024 Quantile = -0.49 Residual = -1.03 Quantile = -0.502 Residual = -1.041 Quantile = -0.515 Residual = -1.12 Quantile = -0.528 Residual = -1.179 Quantile = -0.54 Residual = -1.272 Quantile = -0.553 Residual = -1.279 Quantile = -0.566 Residual = -1.311 Quantile = -0.579 Residual = -1.342 Quantile = -0.592 Residual = -1.361 Quantile = -0.606 Residual = -1.372 Quantile = -0.619 Residual = -1.393 Quantile = -0.632 Residual = -1.419 Quantile = -0.646 Residual = -1.497 Quantile = -0.66 Residual = -1.518 Quantile = -0.674 Residual = -1.53 Quantile = -0.688 Residual = -1.544 Quantile = -0.702 Residual = -1.547 Quantile = -0.716 Residual = -1.593 Quantile = -0.73 Residual = -1.605 Quantile = -0.745 Residual = -1.716 Quantile = -0.76 Residual = -1.744 Quantile = -0.774 Residual = -1.779 Quantile = -0.789 Residual = -1.795 Quantile = -0.805 Residual = -1.799 Quantile = -0.82 Residual = -1.83 Quantile = -0.836 Residual = -1.863 Quantile = -0.852 Residual = -1.965 Quantile = -0.868 Residual = -1.974 Quantile = -0.884 Residual = -1.996 Quantile = -0.9 Residual = -2.03 Quantile = -0.917 Residual = -2.038 Quantile = -0.934 Residual = -2.051 Quantile = -0.951 Residual = -2.058 Quantile = -0.969 Residual = -2.068 Quantile = -0.987 Residual = -2.148 Quantile = -1.005 Residual = -2.181 Quantile = -1.023 Residual = -2.268 Quantile = -1.042 Residual = -2.282 Quantile = -1.062 Residual = -2.295 Quantile = -1.081 Residual = -2.3 Quantile = -1.101 Residual = -2.307 Quantile = -1.122 Residual = -2.342 Quantile = -1.143 Residual = -2.377 Quantile = -1.165 Residual = -2.416 Quantile = -1.187 Residual = -2.444 Quantile = -1.209 Residual = -2.486 Quantile = -1.233 Residual = -2.496 Quantile = -1.257 Residual = -2.546 Quantile = -1.282 Residual = -2.657 Quantile = -1.307 Residual = -2.667 Quantile = -1.334 Residual = -2.721 Quantile = -1.361 Residual = -2.802 Quantile = -1.39 Residual = -2.92 Quantile = -1.419 Residual = -2.962 Quantile = -1.45 Residual = -2.984 Quantile = -1.483 Residual = -3.001 Quantile = -1.517 Residual = -3.011 Quantile = -1.553 Residual = -3.039 Quantile = -1.591 Residual = -3.049 Quantile = -1.632 Residual = -3.202 Quantile = -1.675 Residual = -3.254 Quantile = -1.722 Residual = -3.341 Quantile = -1.773 Residual = -3.444 Quantile = -1.829 Residual = -3.453 Quantile = -1.891 Residual = -3.512 Quantile = -1.962 Residual = -3.773 Quantile = -2.045 Residual = -3.792 Quantile = -2.144 Residual = -4.027 Quantile = -2.27 Residual = -4.722 Quantile = -2.448 Residual = -6.018 Quantile = -2.775 Residual = -7.996 Slope = 2.3243 Y = 0.0047 Lag = 24 ACF = -0.045 Lag = 23 ACF = -0.031 Lag = 22 ACF = 0.0688 Lag = 21 ACF = 0.0846 Lag = 20 ACF = 0.0343 Lag = 19 ACF = -0.08 Lag = 18 ACF = 0.0241 Lag = 17 ACF = 0.0095 Lag = 16 ACF = 0.0221 Lag = 15 ACF = 0.0555 Lag = 14 ACF = -0.067 Lag = 13 ACF = -0.187 Lag = 12 ACF = 0.0722 Lag = 11 ACF = -53E-6 Lag = 10 ACF = 0.1472 Lag = 9 ACF = -0.01 Lag = 8 ACF = -0.111 Lag = 7 ACF = -0.002 Lag = 6 ACF = 0.0694 Lag = 5 ACF = 0.0574 Lag = 4 ACF = -0.026 Lag = 3 ACF = -0.056 Lag = 2 ACF = -0.046 Lag = 1 ACF = -0.053 Lag = 0 ACF = 1 Lag = 24 Lower = -0.148 Upper = 0.1482 Lag = 23 Lower = -0.148 Upper = 0.1481 Lag = 23 Lower = -0.148 Upper = 0.1481 Lag = 22 Lower = -0.147 Upper = 0.1475 Lag = 22 Lower = -0.147 Upper = 0.1475 Lag = 21 Lower = -0.147 Upper = 0.1466 Lag = 21 Lower = -0.147 Upper = 0.1466 Lag = 20 Lower = -0.146 Upper = 0.1465 Lag = 20 Lower = -0.146 Upper = 0.1465 Lag = 19 Lower = -0.146 Upper = 0.1457 Lag = 19 Lower = -0.146 Upper = 0.1457 Lag = 18 Lower = -0.146 Upper = 0.1457 Lag = 18 Lower = -0.146 Upper = 0.1457 Lag = 17 Lower = -0.146 Upper = 0.1456 Lag = 17 Lower = -0.146 Upper = 0.1456 Lag = 16 Lower = -0.146 Upper = 0.1456 Lag = 16 Lower = -0.146 Upper = 0.1456 Lag = 15 Lower = -0.145 Upper = 0.1452 Lag = 15 Lower = -0.145 Upper = 0.1452 Lag = 14 Lower = -0.145 Upper = 0.1447 Lag = 14 Lower = -0.145 Upper = 0.1447 Lag = 13 Lower = -0.14 Upper = 0.1403 Lag = 13 Lower = -0.14 Upper = 0.1403 Lag = 12 Lower = -0.14 Upper = 0.1396 Lag = 12 Lower = -0.14 Upper = 0.1396 Lag = 11 Lower = -0.14 Upper = 0.1396 Lag = 11 Lower = -0.14 Upper = 0.1396 Lag = 10 Lower = -0.137 Upper = 0.1369 Lag = 10 Lower = -0.137 Upper = 0.1369 Lag = 9 Lower = -0.137 Upper = 0.1369 Lag = 9 Lower = -0.137 Upper = 0.1369 Lag = 8 Lower = -0.135 Upper = 0.1353 Lag = 8 Lower = -0.135 Upper = 0.1353 Lag = 7 Lower = -0.135 Upper = 0.1353 Lag = 7 Lower = -0.135 Upper = 0.1353 Lag = 6 Lower = -0.135 Upper = 0.1346 Lag = 6 Lower = -0.135 Upper = 0.1346 Lag = 5 Lower = -0.134 Upper = 0.1342 Lag = 5 Lower = -0.134 Upper = 0.1342 Lag = 4 Lower = -0.134 Upper = 0.1341 Lag = 4 Lower = -0.134 Upper = 0.1341 Lag = 3 Lower = -0.134 Upper = 0.1337 Lag = 3 Lower = -0.134 Upper = 0.1337 Lag = 2 Lower = -0.133 Upper = 0.1334 Lag = 2 Lower = -0.133 Upper = 0.1334 Lag = 1 Lower = -0.133 Upper = 0.133 Lag = 1 Lower = -0.133 Upper = 0.133 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = -0.026 Lag = 23 PACF = 0.0358 Lag = 22 PACF = 0.0446 Lag = 21 PACF = 0.0559 Lag = 20 PACF = 0.0343 Lag = 19 PACF = -0.049 Lag = 18 PACF = 0.0609 Lag = 17 PACF = -0.011 Lag = 16 PACF = -0.017 Lag = 15 PACF = 0.0332 Lag = 14 PACF = -0.063 Lag = 13 PACF = -0.163 Lag = 12 PACF = 0.0737 Lag = 11 PACF = -0.001 Lag = 10 PACF = 0.1413 Lag = 9 PACF = -0.013 Lag = 8 PACF = -0.1 Lag = 7 PACF = 0.0081 Lag = 6 PACF = 0.0701 Lag = 5 PACF = 0.0485 Lag = 4 PACF = -0.035 Lag = 3 PACF = -0.061 Lag = 2 PACF = -0.049 Lag = 1 PACF = -0.053 Lag = 24 Lower = -0.133 Upper = 0.133 Lag = 23 Lower = -0.133 Upper = 0.133 Lag = 23 Lower = -0.133 Upper = 0.133 Lag = 22 Lower = -0.133 Upper = 0.133 Lag = 22 Lower = -0.133 Upper = 0.133 Lag = 21 Lower = -0.133 Upper = 0.133 Lag = 21 Lower = -0.133 Upper = 0.133 Lag = 20 Lower = -0.133 Upper = 0.133 Lag = 20 Lower = -0.133 Upper = 0.133 Lag = 19 Lower = -0.133 Upper = 0.133 Lag = 19 Lower = -0.133 Upper = 0.133 Lag = 18 Lower = -0.133 Upper = 0.133 Lag = 18 Lower = -0.133 Upper = 0.133 Lag = 17 Lower = -0.133 Upper = 0.133 Lag = 17 Lower = -0.133 Upper = 0.133 Lag = 16 Lower = -0.133 Upper = 0.133 Lag = 16 Lower = -0.133 Upper = 0.133 Lag = 15 Lower = -0.133 Upper = 0.133 Lag = 15 Lower = -0.133 Upper = 0.133 Lag = 14 Lower = -0.133 Upper = 0.133 Lag = 14 Lower = -0.133 Upper = 0.133 Lag = 13 Lower = -0.133 Upper = 0.133 Lag = 13 Lower = -0.133 Upper = 0.133 Lag = 12 Lower = -0.133 Upper = 0.133 Lag = 12 Lower = -0.133 Upper = 0.133 Lag = 11 Lower = -0.133 Upper = 0.133 Lag = 11 Lower = -0.133 Upper = 0.133 Lag = 10 Lower = -0.133 Upper = 0.133 Lag = 10 Lower = -0.133 Upper = 0.133 Lag = 9 Lower = -0.133 Upper = 0.133 Lag = 9 Lower = -0.133 Upper = 0.133 Lag = 8 Lower = -0.133 Upper = 0.133 Lag = 8 Lower = -0.133 Upper = 0.133 Lag = 7 Lower = -0.133 Upper = 0.133 Lag = 7 Lower = -0.133 Upper = 0.133 Lag = 6 Lower = -0.133 Upper = 0.133 Lag = 6 Lower = -0.133 Upper = 0.133 Lag = 5 Lower = -0.133 Upper = 0.133 Lag = 5 Lower = -0.133 Upper = 0.133 Lag = 4 Lower = -0.133 Upper = 0.133 Lag = 4 Lower = -0.133 Upper = 0.133 Lag = 3 Lower = -0.133 Upper = 0.133 Lag = 3 Lower = -0.133 Upper = 0.133 Lag = 2 Lower = -0.133 Upper = 0.133 Lag = 2 Lower = -0.133 Upper = 0.133 Lag = 1 Lower = -0.133 Upper = 0.133
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Oct2019 Loess Fit = -0.736 Date_of_death = Aug2019 Loess Fit = -0.723 Date_of_death = Aug2019 Loess Fit = -0.723 Date_of_death = Jul2019 Loess Fit = -0.709 Date_of_death = Jul2019 Loess Fit = -0.709 Date_of_death = Jun2019 Loess Fit = -0.695 Date_of_death = Jun2019 Loess Fit = -0.695 Date_of_death = May2019 Loess Fit = -0.682 Date_of_death = May2019 Loess Fit = -0.682 Date_of_death = Apr2019 Loess Fit = -0.668 Date_of_death = Apr2019 Loess Fit = -0.668 Date_of_death = Mar2019 Loess Fit = -0.654 Date_of_death = Mar2019 Loess Fit = -0.654 Date_of_death = Feb2019 Loess Fit = -0.641 Date_of_death = Feb2019 Loess Fit = -0.641 Date_of_death = Dec2018 Loess Fit = -0.627 Date_of_death = Dec2018 Loess Fit = -0.627 Date_of_death = Nov2018 Loess Fit = -0.613 Date_of_death = Nov2018 Loess Fit = -0.613 Date_of_death = Oct2018 Loess Fit = -0.6 Date_of_death = Oct2018 Loess Fit = -0.6 Date_of_death = Sep2018 Loess Fit = -0.586 Date_of_death = Sep2018 Loess Fit = -0.586 Date_of_death = Aug2018 Loess Fit = -0.572 Date_of_death = Aug2018 Loess Fit = -0.572 Date_of_death = Jul2018 Loess Fit = -0.559 Date_of_death = Jul2018 Loess Fit = -0.559 Date_of_death = Jun2018 Loess Fit = -0.545 Date_of_death = Jun2018 Loess Fit = -0.545 Date_of_death = May2018 Loess Fit = -0.531 Date_of_death = May2018 Loess Fit = -0.531 Date_of_death = Apr2018 Loess Fit = -0.518 Date_of_death = Apr2018 Loess Fit = -0.518 Date_of_death = Feb2018 Loess Fit = -0.504 Date_of_death = Feb2018 Loess Fit = -0.504 Date_of_death = Jan2018 Loess Fit = -0.49 Date_of_death = Jan2018 Loess Fit = -0.49 Date_of_death = Dec2017 Loess Fit = -0.477 Date_of_death = Dec2017 Loess Fit = -0.477 Date_of_death = Nov2017 Loess Fit = -0.463 Date_of_death = Nov2017 Loess Fit = -0.463 Date_of_death = Oct2017 Loess Fit = -0.449 Date_of_death = Oct2017 Loess Fit = -0.449 Date_of_death = Sep2017 Loess Fit = -0.436 Date_of_death = Sep2017 Loess Fit = -0.436 Date_of_death = Aug2017 Loess Fit = -0.422 Date_of_death = Aug2017 Loess Fit = -0.422 Date_of_death = Jul2017 Loess Fit = -0.408 Date_of_death = Jul2017 Loess Fit = -0.408 Date_of_death = May2017 Loess Fit = -0.395 Date_of_death = May2017 Loess Fit = -0.395 Date_of_death = Apr2017 Loess Fit = -0.382 Date_of_death = Apr2017 Loess Fit = -0.382 Date_of_death = Mar2017 Loess Fit = -0.37 Date_of_death = Mar2017 Loess Fit = -0.37 Date_of_death = Feb2017 Loess Fit = -0.357 Date_of_death = Feb2017 Loess Fit = -0.357 Date_of_death = Jan2017 Loess Fit = -0.345 Date_of_death = Jan2017 Loess Fit = -0.345 Date_of_death = Dec2016 Loess Fit = -0.333 Date_of_death = Dec2016 Loess Fit = -0.333 Date_of_death = Nov2016 Loess Fit = -0.32 Date_of_death = Nov2016 Loess Fit = -0.32 Date_of_death = Sep2016 Loess Fit = -0.308 Date_of_death = Sep2016 Loess Fit = -0.308 Date_of_death = Aug2016 Loess Fit = -0.295 Date_of_death = Aug2016 Loess Fit = -0.295 Date_of_death = Jul2016 Loess Fit = -0.283 Date_of_death = Jul2016 Loess Fit = -0.283 Date_of_death = Jun2016 Loess Fit = -0.27 Date_of_death = Jun2016 Loess Fit = -0.27 Date_of_death = May2016 Loess Fit = -0.258 Date_of_death = May2016 Loess Fit = -0.258 Date_of_death = Apr2016 Loess Fit = -0.245 Date_of_death = Apr2016 Loess Fit = -0.245 Date_of_death = Mar2016 Loess Fit = -0.233 Date_of_death = Mar2016 Loess Fit = -0.233 Date_of_death = Feb2016 Loess Fit = -0.22 Date_of_death = Feb2016 Loess Fit = -0.22 Date_of_death = Dec2015 Loess Fit = -0.208 Date_of_death = Dec2015 Loess Fit = -0.208 Date_of_death = Nov2015 Loess Fit = -0.195 Date_of_death = Nov2015 Loess Fit = -0.195 Date_of_death = Oct2015 Loess Fit = -0.183 Date_of_death = Oct2015 Loess Fit = -0.183 Date_of_death = Sep2015 Loess Fit = -0.17 Date_of_death = Sep2015 Loess Fit = -0.17 Date_of_death = Aug2015 Loess Fit = -0.158 Date_of_death = Aug2015 Loess Fit = -0.158 Date_of_death = Jul2015 Loess Fit = -0.146 Date_of_death = Jul2015 Loess Fit = -0.146 Date_of_death = Jun2015 Loess Fit = -0.133 Date_of_death = Jun2015 Loess Fit = -0.133 Date_of_death = May2015 Loess Fit = -0.121 Date_of_death = May2015 Loess Fit = -0.121 Date_of_death = Apr2015 Loess Fit = -0.108 Date_of_death = Apr2015 Loess Fit = -0.108 Date_of_death = Feb2015 Loess Fit = -0.096 Date_of_death = Feb2015 Loess Fit = -0.096 Date_of_death = Jan2015 Loess Fit = -0.083 Date_of_death = Jan2015 Loess Fit = -0.083 Date_of_death = Dec2014 Loess Fit = -0.072 Date_of_death = Dec2014 Loess Fit = -0.072 Date_of_death = Nov2014 Loess Fit = -0.061 Date_of_death = Nov2014 Loess Fit = -0.061 Date_of_death = Oct2014 Loess Fit = -0.05 Date_of_death = Oct2014 Loess Fit = -0.05 Date_of_death = Sep2014 Loess Fit = -0.038 Date_of_death = Sep2014 Loess Fit = -0.038 Date_of_death = Aug2014 Loess Fit = -0.027 Date_of_death = Aug2014 Loess Fit = -0.027 Date_of_death = Jul2014 Loess Fit = -0.016 Date_of_death = Jul2014 Loess Fit = -0.016 Date_of_death = May2014 Loess Fit = -0.005 Date_of_death = May2014 Loess Fit = -0.005 Date_of_death = Apr2014 Loess Fit = 0.0065 Date_of_death = Apr2014 Loess Fit = 0.0065 Date_of_death = Mar2014 Loess Fit = 0.0177 Date_of_death = Mar2014 Loess Fit = 0.0177 Date_of_death = Feb2014 Loess Fit = 0.029 Date_of_death = Feb2014 Loess Fit = 0.029 Date_of_death = Jan2014 Loess Fit = 0.0402 Date_of_death = Jan2014 Loess Fit = 0.0402 Date_of_death = Dec2013 Loess Fit = 0.0515 Date_of_death = Dec2013 Loess Fit = 0.0515 Date_of_death = Nov2013 Loess Fit = 0.0627 Date_of_death = Nov2013 Loess Fit = 0.0627 Date_of_death = Sep2013 Loess Fit = 0.074 Date_of_death = Sep2013 Loess Fit = 0.074 Date_of_death = Aug2013 Loess Fit = 0.0852 Date_of_death = Aug2013 Loess Fit = 0.0852 Date_of_death = Jul2013 Loess Fit = 0.0965 Date_of_death = Jul2013 Loess Fit = 0.0965 Date_of_death = Jun2013 Loess Fit = 0.1077 Date_of_death = Jun2013 Loess Fit = 0.1077 Date_of_death = May2013 Loess Fit = 0.119 Date_of_death = May2013 Loess Fit = 0.119 Date_of_death = Apr2013 Loess Fit = 0.1302 Date_of_death = Apr2013 Loess Fit = 0.1302 Date_of_death = Mar2013 Loess Fit = 0.1415 Date_of_death = Mar2013 Loess Fit = 0.1415 Date_of_death = Feb2013 Loess Fit = 0.1527 Date_of_death = Feb2013 Loess Fit = 0.1527 Date_of_death = Dec2012 Loess Fit = 0.164 Date_of_death = Dec2012 Loess Fit = 0.164 Date_of_death = Nov2012 Loess Fit = 0.1752 Date_of_death = Nov2012 Loess Fit = 0.1752 Date_of_death = Oct2012 Loess Fit = 0.1865 Date_of_death = Oct2012 Loess Fit = 0.1865 Date_of_death = Sep2012 Loess Fit = 0.1947 Date_of_death = Sep2012 Loess Fit = 0.1947 Date_of_death = Aug2012 Loess Fit = 0.1969 Date_of_death = Aug2012 Loess Fit = 0.1969 Date_of_death = Jul2012 Loess Fit = 0.1992 Date_of_death = Jul2012 Loess Fit = 0.1992 Date_of_death = Jun2012 Loess Fit = 0.2015 Date_of_death = Jun2012 Loess Fit = 0.2015 Date_of_death = May2012 Loess Fit = 0.2038 Date_of_death = May2012 Loess Fit = 0.2038 Date_of_death = Apr2012 Loess Fit = 0.206 Date_of_death = Apr2012 Loess Fit = 0.206 Date_of_death = Feb2012 Loess Fit = 0.2083 Date_of_death = Feb2012 Loess Fit = 0.2083 Date_of_death = Jan2012 Loess Fit = 0.2106 Date_of_death = Jan2012 Loess Fit = 0.2106 Date_of_death = Dec2011 Loess Fit = 0.2129 Date_of_death = Dec2011 Loess Fit = 0.2129 Date_of_death = Nov2011 Loess Fit = 0.2151 Date_of_death = Nov2011 Loess Fit = 0.2151 Date_of_death = Oct2011 Loess Fit = 0.2174 Date_of_death = Oct2011 Loess Fit = 0.2174 Date_of_death = Sep2011 Loess Fit = 0.2197 Date_of_death = Sep2011 Loess Fit = 0.2197 Date_of_death = Aug2011 Loess Fit = 0.222 Date_of_death = Aug2011 Loess Fit = 0.222 Date_of_death = Jul2011 Loess Fit = 0.2243 Date_of_death = Jul2011 Loess Fit = 0.2243 Date_of_death = May2011 Loess Fit = 0.2265 Date_of_death = May2011 Loess Fit = 0.2265 Date_of_death = Apr2011 Loess Fit = 0.2288 Date_of_death = Apr2011 Loess Fit = 0.2288 Date_of_death = Mar2011 Loess Fit = 0.2311 Date_of_death = Mar2011 Loess Fit = 0.2311 Date_of_death = Feb2011 Loess Fit = 0.2334 Date_of_death = Feb2011 Loess Fit = 0.2334 Date_of_death = Jan2011 Loess Fit = 0.2356 Date_of_death = Jan2011 Loess Fit = 0.2356 Date_of_death = Dec2010 Loess Fit = 0.2379 Date_of_death = Dec2010 Loess Fit = 0.2379 Date_of_death = Nov2010 Loess Fit = 0.2402 Date_of_death = Nov2010 Loess Fit = 0.2402 Date_of_death = Oct2010 Loess Fit = 0.2425 Date_of_death = Oct2010 Loess Fit = 0.2425 Date_of_death = Aug2010 Loess Fit = 0.2447 Date_of_death = Aug2010 Loess Fit = 0.2447 Date_of_death = Jul2010 Loess Fit = 0.247 Date_of_death = Jul2010 Loess Fit = 0.247 Date_of_death = Jun2010 Loess Fit = 0.2493 Date_of_death = Jun2010 Loess Fit = 0.2493 Date_of_death = May2010 Loess Fit = 0.2516 Date_of_death = May2010 Loess Fit = 0.2516 Date_of_death = Apr2010 Loess Fit = 0.251 Date_of_death = Apr2010 Loess Fit = 0.251 Date_of_death = Mar2010 Loess Fit = 0.2477 Date_of_death = Mar2010 Loess Fit = 0.2477 Date_of_death = Feb2010 Loess Fit = 0.2444 Date_of_death = Feb2010 Loess Fit = 0.2444 Date_of_death = Dec2009 Loess Fit = 0.2411 Date_of_death = Dec2009 Loess Fit = 0.2411 Date_of_death = Nov2009 Loess Fit = 0.2379 Date_of_death = Nov2009 Loess Fit = 0.2379 Date_of_death = Oct2009 Loess Fit = 0.2346 Date_of_death = Oct2009 Loess Fit = 0.2346 Date_of_death = Sep2009 Loess Fit = 0.2313 Date_of_death = Sep2009 Loess Fit = 0.2313 Date_of_death = Aug2009 Loess Fit = 0.228 Date_of_death = Aug2009 Loess Fit = 0.228 Date_of_death = Jul2009 Loess Fit = 0.2247 Date_of_death = Jul2009 Loess Fit = 0.2247 Date_of_death = Jun2009 Loess Fit = 0.2215 Date_of_death = Jun2009 Loess Fit = 0.2215 Date_of_death = May2009 Loess Fit = 0.2182 Date_of_death = May2009 Loess Fit = 0.2182 Date_of_death = Apr2009 Loess Fit = 0.2149 Date_of_death = Apr2009 Loess Fit = 0.2149 Date_of_death = Feb2009 Loess Fit = 0.2116 Date_of_death = Feb2009 Loess Fit = 0.2116 Date_of_death = Jan2009 Loess Fit = 0.2084 Date_of_death = Jan2009 Loess Fit = 0.2084 Date_of_death = Dec2008 Loess Fit = 0.2051 Date_of_death = Dec2008 Loess Fit = 0.2051 Date_of_death = Nov2008 Loess Fit = 0.2018 Date_of_death = Nov2008 Loess Fit = 0.2018 Date_of_death = Oct2008 Loess Fit = 0.1985 Date_of_death = Oct2008 Loess Fit = 0.1985 Date_of_death = Sep2008 Loess Fit = 0.1953 Date_of_death = Sep2008 Loess Fit = 0.1953 Date_of_death = Aug2008 Loess Fit = 0.192 Date_of_death = Aug2008 Loess Fit = 0.192 Date_of_death = Jul2008 Loess Fit = 0.1887 Date_of_death = Jul2008 Loess Fit = 0.1887 Date_of_death = May2008 Loess Fit = 0.1854 Date_of_death = May2008 Loess Fit = 0.1854 Date_of_death = Apr2008 Loess Fit = 0.1821 Date_of_death = Apr2008 Loess Fit = 0.1821 Date_of_death = Mar2008 Loess Fit = 0.1789 Date_of_death = Mar2008 Loess Fit = 0.1789 Date_of_death = Feb2008 Loess Fit = 0.1756 Date_of_death = Feb2008 Loess Fit = 0.1756 Date_of_death = Jan2008 Loess Fit = 0.1723 Date_of_death = Jan2008 Loess Fit = 0.1723 Date_of_death = Dec2007 Loess Fit = 0.168 Date_of_death = Dec2007 Loess Fit = 0.168 Date_of_death = Nov2007 Loess Fit = 0.1632 Date_of_death = Nov2007 Loess Fit = 0.1632 Date_of_death = Oct2007 Loess Fit = 0.1584 Date_of_death = Oct2007 Loess Fit = 0.1584 Date_of_death = Aug2007 Loess Fit = 0.1536 Date_of_death = Aug2007 Loess Fit = 0.1536 Date_of_death = Jul2007 Loess Fit = 0.1488 Date_of_death = Jul2007 Loess Fit = 0.1488 Date_of_death = Jun2007 Loess Fit = 0.144 Date_of_death = Jun2007 Loess Fit = 0.144 Date_of_death = May2007 Loess Fit = 0.1392 Date_of_death = May2007 Loess Fit = 0.1392 Date_of_death = Apr2007 Loess Fit = 0.1344 Date_of_death = Apr2007 Loess Fit = 0.1344 Date_of_death = Mar2007 Loess Fit = 0.1296 Date_of_death = Mar2007 Loess Fit = 0.1296 Date_of_death = Feb2007 Loess Fit = 0.1248 Date_of_death = Feb2007 Loess Fit = 0.1248 Date_of_death = Jan2007 Loess Fit = 0.12 Date_of_death = Jan2007 Loess Fit = 0.12 Date_of_death = Nov2006 Loess Fit = 0.1152 Date_of_death = Nov2006 Loess Fit = 0.1152 Date_of_death = Oct2006 Loess Fit = 0.1104 Date_of_death = Oct2006 Loess Fit = 0.1104 Date_of_death = Sep2006 Loess Fit = 0.1056 Date_of_death = Sep2006 Loess Fit = 0.1056 Date_of_death = Aug2006 Loess Fit = 0.1008 Date_of_death = Aug2006 Loess Fit = 0.1008 Date_of_death = Jul2006 Loess Fit = 0.0959 Date_of_death = Jul2006 Loess Fit = 0.0959 Date_of_death = Jun2006 Loess Fit = 0.0911 Date_of_death = Jun2006 Loess Fit = 0.0911 Date_of_death = May2006 Loess Fit = 0.0863 Date_of_death = May2006 Loess Fit = 0.0863 Date_of_death = Apr2006 Loess Fit = 0.0815 Date_of_death = Apr2006 Loess Fit = 0.0815 Date_of_death = Feb2006 Loess Fit = 0.0767 Date_of_death = Feb2006 Loess Fit = 0.0767 Date_of_death = Jan2006 Loess Fit = 0.0719 Date_of_death = Jan2006 Loess Fit = 0.0719 Date_of_death = Dec2005 Loess Fit = 0.0671 Date_of_death = Dec2005 Loess Fit = 0.0671 Date_of_death = Nov2005 Loess Fit = 0.0623 Date_of_death = Nov2005 Loess Fit = 0.0623 Date_of_death = Oct2005 Loess Fit = 0.0575 Date_of_death = Oct2005 Loess Fit = 0.0575 Date_of_death = Sep2005 Loess Fit = 0.0527 Date_of_death = Sep2005 Loess Fit = 0.0527 Date_of_death = Aug2005 Loess Fit = 0.0477 Date_of_death = Aug2005 Loess Fit = 0.0477 Date_of_death = Jul2005 Loess Fit = 0.0428 Date_of_death = Jul2005 Loess Fit = 0.0428 Date_of_death = May2005 Loess Fit = 0.0378 Date_of_death = May2005 Loess Fit = 0.0378 Date_of_death = Apr2005 Loess Fit = 0.0328 Date_of_death = Apr2005 Loess Fit = 0.0328 Date_of_death = Mar2005 Loess Fit = 0.0278 Date_of_death = Mar2005 Loess Fit = 0.0278 Date_of_death = Feb2005 Loess Fit = 0.0228 Date_of_death = Feb2005 Loess Fit = 0.0228 Date_of_death = Jan2005 Loess Fit = 0.0178 Date_of_death = Jan2005 Loess Fit = 0.0178 Date_of_death = Dec2004 Loess Fit = 0.0128 Date_of_death = Dec2004 Loess Fit = 0.0128 Date_of_death = Nov2004 Loess Fit = 0.0078 Date_of_death = Nov2004 Loess Fit = 0.0078 Date_of_death = Oct2004 Loess Fit = 0.0029 Date_of_death = Oct2004 Loess Fit = 0.0029 Date_of_death = Aug2004 Loess Fit = -0.002 Date_of_death = Aug2004 Loess Fit = -0.002 Date_of_death = Jul2004 Loess Fit = -0.007 Date_of_death = Jul2004 Loess Fit = -0.007 Date_of_death = Jun2004 Loess Fit = -0.012 Date_of_death = Jun2004 Loess Fit = -0.012 Date_of_death = May2004 Loess Fit = -0.017 Date_of_death = May2004 Loess Fit = -0.017 Date_of_death = Apr2004 Loess Fit = -0.022 Date_of_death = Apr2004 Loess Fit = -0.022 Date_of_death = Mar2004 Loess Fit = -0.027 Date_of_death = Mar2004 Loess Fit = -0.027 Date_of_death = Feb2004 Loess Fit = -0.032 Date_of_death = Feb2004 Loess Fit = -0.032 Date_of_death = Jan2004 Loess Fit = -0.037 Date_of_death = Jan2004 Loess Fit = -0.037 Date_of_death = Nov2003 Loess Fit = -0.042 Date_of_death = Nov2003 Loess Fit = -0.042 Date_of_death = Oct2003 Loess Fit = -0.047 Date_of_death = Oct2003 Loess Fit = -0.047 Date_of_death = Sep2003 Loess Fit = -0.052 Date_of_death = Sep2003 Loess Fit = -0.052 Date_of_death = Aug2003 Loess Fit = -0.057 Date_of_death = Aug2003 Loess Fit = -0.057 Date_of_death = Jul2003 Loess Fit = -0.062 Date_of_death = Jul2003 Loess Fit = -0.062 Date_of_death = Jun2003 Loess Fit = -0.067 Date_of_death = Jun2003 Loess Fit = -0.067 Date_of_death = May2003 Loess Fit = -0.072 Date_of_death = May2003 Loess Fit = -0.072 Date_of_death = Apr2003 Loess Fit = -0.077 Date_of_death = Apr2003 Loess Fit = -0.077 Date_of_death = Feb2003 Loess Fit = -0.081 Date_of_death = Feb2003 Loess Fit = -0.081 Date_of_death = Jan2003 Loess Fit = -0.086 Date_of_death = Jan2003 Loess Fit = -0.086 Date_of_death = Dec2002 Loess Fit = -0.091 Date_of_death = Dec2002 Loess Fit = -0.091 Date_of_death = Nov2002 Loess Fit = -0.095 Date_of_death = Nov2002 Loess Fit = -0.095 Date_of_death = Oct2002 Loess Fit = -0.1 Date_of_death = Oct2002 Loess Fit = -0.1 Date_of_death = Sep2002 Loess Fit = -0.104 Date_of_death = Sep2002 Loess Fit = -0.104 Date_of_death = Aug2002 Loess Fit = -0.109 Date_of_death = Aug2002 Loess Fit = -0.109 Date_of_death = Jul2002 Loess Fit = -0.114 Date_of_death = Jul2002 Loess Fit = -0.114 Date_of_death = May2002 Loess Fit = -0.118 Date_of_death = May2002 Loess Fit = -0.118 Date_of_death = Apr2002 Loess Fit = -0.123 Date_of_death = Apr2002 Loess Fit = -0.123 Date_of_death = Mar2002 Loess Fit = -0.127 Date_of_death = Mar2002 Loess Fit = -0.127 Date_of_death = Feb2002 Loess Fit = -0.132 Date_of_death = Feb2002 Loess Fit = -0.132 Date_of_death = Jan2002 Loess Fit = -0.137 Date_of_death = Jan2002 Loess Fit = -0.137 Date_of_death = Dec2001 Loess Fit = -0.141 Date_of_death = Dec2001 Loess Fit = -0.141 Date_of_death = Nov2001 Loess Fit = -0.146 Date_of_death = Nov2001 Loess Fit = -0.146 Date_of_death = Oct2001 Loess Fit = -0.151 Date_of_death = Oct2001 Loess Fit = -0.151 Date_of_death = Aug2001 Loess Fit = -0.155 Date_of_death = Aug2001 Loess Fit = -0.155 Date_of_death = Jul2001 Loess Fit = -0.16 Date_of_death = Jul2001 Loess Fit = -0.16 Date_of_death = Jun2001 Loess Fit = -0.164 Date_of_death = Jun2001 Loess Fit = -0.164 Date_of_death = May2001 Loess Fit = -0.169 Date_of_death = May2001 Loess Fit = -0.169 Date_of_death = Apr2001 Loess Fit = -0.174 Date_of_death = Apr2001 Loess Fit = -0.174 Date_of_death = Mar2001 Loess Fit = -0.178 Date_of_death = Mar2001 Loess Fit = -0.178 Date_of_death = Feb2001 Loess Fit = -0.183 Date_of_death = Feb2001 Loess Fit = -0.183 Date_of_death = Jan2001 Loess Fit = -0.188 Date_of_death = Oct2019 Prediction Error = -1.744 Date_of_death = Sep2019 Prediction Error = 0.153 Date_of_death = Aug2019 Prediction Error = -0.65 Date_of_death = Jul2019 Prediction Error = -3.512 Date_of_death = Jun2019 Prediction Error = -1.974 Date_of_death = May2019 Prediction Error = 2.3357 Date_of_death = Apr2019 Prediction Error = 0.4493 Date_of_death = Mar2019 Prediction Error = -1.53 Date_of_death = Feb2019 Prediction Error = -3.444 Date_of_death = Jan2019 Prediction Error = -2.657 Date_of_death = Dec2018 Prediction Error = -0.688 Date_of_death = Nov2018 Prediction Error = -2.802 Date_of_death = Oct2018 Prediction Error = -2.181 Date_of_death = Sep2018 Prediction Error = -2.342 Date_of_death = Aug2018 Prediction Error = -0.011 Date_of_death = Jul2018 Prediction Error = 1.2899 Date_of_death = Jun2018 Prediction Error = 1.9375 Date_of_death = May2018 Prediction Error = -2.051 Date_of_death = Apr2018 Prediction Error = -0.905 Date_of_death = Mar2018 Prediction Error = -0.869 Date_of_death = Feb2018 Prediction Error = -0.72 Date_of_death = Jan2018 Prediction Error = -0.908 Date_of_death = Dec2017 Prediction Error = 0.134 Date_of_death = Nov2017 Prediction Error = 0.0736 Date_of_death = Oct2017 Prediction Error = -0.288 Date_of_death = Sep2017 Prediction Error = -1.497 Date_of_death = Aug2017 Prediction Error = 2.0699 Date_of_death = Jul2017 Prediction Error = -0.832 Date_of_death = Jun2017 Prediction Error = 3.0491 Date_of_death = May2017 Prediction Error = -0.073 Date_of_death = Apr2017 Prediction Error = -2.058 Date_of_death = Mar2017 Prediction Error = 0.1182 Date_of_death = Feb2017 Prediction Error = -1.863 Date_of_death = Jan2017 Prediction Error = 2.2372 Date_of_death = Dec2016 Prediction Error = 1.2482 Date_of_death = Nov2016 Prediction Error = 0.1226 Date_of_death = Oct2016 Prediction Error = -0.26 Date_of_death = Sep2016 Prediction Error = -1.544 Date_of_death = Aug2016 Prediction Error = 1.1635 Date_of_death = Jul2016 Prediction Error = -0.856 Date_of_death = Jun2016 Prediction Error = 0.0159 Date_of_death = May2016 Prediction Error = -2.282 Date_of_death = Apr2016 Prediction Error = -2.268 Date_of_death = Mar2016 Prediction Error = 1.1259 Date_of_death = Feb2016 Prediction Error = 1.2087 Date_of_death = Jan2016 Prediction Error = 0.2094 Date_of_death = Dec2015 Prediction Error = 2.3752 Date_of_death = Nov2015 Prediction Error = -2.068 Date_of_death = Oct2015 Prediction Error = -0.345 Date_of_death = Sep2015 Prediction Error = 0.4606 Date_of_death = Aug2015 Prediction Error = -0.961 Date_of_death = Jul2015 Prediction Error = 2.2788 Date_of_death = Jun2015 Prediction Error = -3.254 Date_of_death = May2015 Prediction Error = -1.419 Date_of_death = Apr2015 Prediction Error = -0.295 Date_of_death = Mar2015 Prediction Error = 3.3663 Date_of_death = Feb2015 Prediction Error = 5.6728 Date_of_death = Jan2015 Prediction Error = -2.92 Date_of_death = Dec2014 Prediction Error = -0.675 Date_of_death = Nov2014 Prediction Error = 3.2397 Date_of_death = Oct2014 Prediction Error = -1.361 Date_of_death = Sep2014 Prediction Error = -3.792 Date_of_death = Aug2014 Prediction Error = 3.3382 Date_of_death = Jul2014 Prediction Error = -4.027 Date_of_death = Jun2014 Prediction Error = -1.342 Date_of_death = May2014 Prediction Error = -1.518 Date_of_death = Apr2014 Prediction Error = 2.9628 Date_of_death = Mar2014 Prediction Error = -0.697 Date_of_death = Feb2014 Prediction Error = -3.773 Date_of_death = Jan2014 Prediction Error = -3.341 Date_of_death = Dec2013 Prediction Error = -2.038 Date_of_death = Nov2013 Prediction Error = 6.5379 Date_of_death = Oct2013 Prediction Error = -0.554 Date_of_death = Sep2013 Prediction Error = 0.136 Date_of_death = Aug2013 Prediction Error = 1.3093 Date_of_death = Jul2013 Prediction Error = -1.179 Date_of_death = Jun2013 Prediction Error = 1.7725 Date_of_death = May2013 Prediction Error = 3.8392 Date_of_death = Apr2013 Prediction Error = 1.0862 Date_of_death = Mar2013 Prediction Error = 0.3975 Date_of_death = Feb2013 Prediction Error = -0.696 Date_of_death = Jan2013 Prediction Error = 5.3227 Date_of_death = Dec2012 Prediction Error = 0.3077 Date_of_death = Nov2012 Prediction Error = -0.284 Date_of_death = Oct2012 Prediction Error = -0.377 Date_of_death = Sep2012 Prediction Error = -1.83 Date_of_death = Aug2012 Prediction Error = 1.6119 Date_of_death = Jul2012 Prediction Error = 5.5417 Date_of_death = Jun2012 Prediction Error = 1.1432 Date_of_death = May2012 Prediction Error = -2.148 Date_of_death = Apr2012 Prediction Error = -3.039 Date_of_death = Mar2012 Prediction Error = 2.7579 Date_of_death = Feb2012 Prediction Error = -0.589 Date_of_death = Jan2012 Prediction Error = 1.5194 Date_of_death = Dec2011 Prediction Error = 1.5328 Date_of_death = Nov2011 Prediction Error = -1.311 Date_of_death = Oct2011 Prediction Error = 4.122 Date_of_death = Sep2011 Prediction Error = 1.5098 Date_of_death = Aug2011 Prediction Error = -2.444 Date_of_death = Jul2011 Prediction Error = 1.7668 Date_of_death = Jun2011 Prediction Error = -0.887 Date_of_death = May2011 Prediction Error = -0.072 Date_of_death = Apr2011 Prediction Error = 1.2199 Date_of_death = Mar2011 Prediction Error = 2.0727 Date_of_death = Feb2011 Prediction Error = -1.593 Date_of_death = Jan2011 Prediction Error = 1.8004 Date_of_death = Dec2010 Prediction Error = 0.7103 Date_of_death = Nov2010 Prediction Error = -0.194 Date_of_death = Oct2010 Prediction Error = 1.3262 Date_of_death = Sep2010 Prediction Error = -2.721 Date_of_death = Aug2010 Prediction Error = -2.667 Date_of_death = Jul2010 Prediction Error = -1.393 Date_of_death = Jun2010 Prediction Error = 1.2251 Date_of_death = May2010 Prediction Error = 1.0403 Date_of_death = Apr2010 Prediction Error = -1.996 Date_of_death = Mar2010 Prediction Error = 2.24 Date_of_death = Feb2010 Prediction Error = -0.674 Date_of_death = Jan2010 Prediction Error = 6.4342 Date_of_death = Dec2009 Prediction Error = -2.546 Date_of_death = Nov2009 Prediction Error = -0.218 Date_of_death = Oct2009 Prediction Error = -0.788 Date_of_death = Sep2009 Prediction Error = 1.4562 Date_of_death = Aug2009 Prediction Error = 2.7206 Date_of_death = Jul2009 Prediction Error = -0.285 Date_of_death = Jun2009 Prediction Error = -3.001 Date_of_death = May2009 Prediction Error = 0.1103 Date_of_death = Apr2009 Prediction Error = 0.1105 Date_of_death = Mar2009 Prediction Error = 1.4661 Date_of_death = Feb2009 Prediction Error = -0.657 Date_of_death = Jan2009 Prediction Error = -1.799 Date_of_death = Dec2008 Prediction Error = -1.779 Date_of_death = Nov2008 Prediction Error = 0.8567 Date_of_death = Oct2008 Prediction Error = 1.3754 Date_of_death = Sep2008 Prediction Error = 6.2178 Date_of_death = Aug2008 Prediction Error = 0.8551 Date_of_death = Jul2008 Prediction Error = -0.275 Date_of_death = Jun2008 Prediction Error = -1.041 Date_of_death = May2008 Prediction Error = 1.3541 Date_of_death = Apr2008 Prediction Error = 0.2322 Date_of_death = Mar2008 Prediction Error = 5.1866 Date_of_death = Feb2008 Prediction Error = 2.8563 Date_of_death = Jan2008 Prediction Error = -1.795 Date_of_death = Dec2007 Prediction Error = -2.962 Date_of_death = Nov2007 Prediction Error = -1.12 Date_of_death = Oct2007 Prediction Error = -1.716 Date_of_death = Sep2007 Prediction Error = -2.03 Date_of_death = Aug2007 Prediction Error = 0.9829 Date_of_death = Jul2007 Prediction Error = 2.0111 Date_of_death = Jun2007 Prediction Error = -2.307 Date_of_death = May2007 Prediction Error = 3.8904 Date_of_death = Apr2007 Prediction Error = 2.6428 Date_of_death = Mar2007 Prediction Error = 0.2183 Date_of_death = Feb2007 Prediction Error = -1.372 Date_of_death = Jan2007 Prediction Error = -0.956 Date_of_death = Dec2006 Prediction Error = 0.0452 Date_of_death = Nov2006 Prediction Error = -2.486 Date_of_death = Oct2006 Prediction Error = 3.8974 Date_of_death = Sep2006 Prediction Error = 0.0658 Date_of_death = Aug2006 Prediction Error = 0.0676 Date_of_death = Jul2006 Prediction Error = -2.295 Date_of_death = Jun2006 Prediction Error = 3.2481 Date_of_death = May2006 Prediction Error = -0.085 Date_of_death = Apr2006 Prediction Error = -1.605 Date_of_death = Mar2006 Prediction Error = -0.95 Date_of_death = Feb2006 Prediction Error = 3.0912 Date_of_death = Jan2006 Prediction Error = -3.453 Date_of_death = Dec2005 Prediction Error = -2.377 Date_of_death = Nov2005 Prediction Error = -3.011 Date_of_death = Oct2005 Prediction Error = -0.215 Date_of_death = Sep2005 Prediction Error = 1.1982 Date_of_death = Aug2005 Prediction Error = -0.002 Date_of_death = Jul2005 Prediction Error = 3.2345 Date_of_death = Jun2005 Prediction Error = -0.977 Date_of_death = May2005 Prediction Error = 1.0355 Date_of_death = Apr2005 Prediction Error = -3.202 Date_of_death = Mar2005 Prediction Error = 1.2121 Date_of_death = Feb2005 Prediction Error = -2.416 Date_of_death = Jan2005 Prediction Error = 0.5896 Date_of_death = Dec2004 Prediction Error = -0.508 Date_of_death = Nov2004 Prediction Error = -1.272 Date_of_death = Oct2004 Prediction Error = -0.276 Date_of_death = Sep2004 Prediction Error = -2.3 Date_of_death = Aug2004 Prediction Error = -0.053 Date_of_death = Jul2004 Prediction Error = 3.9848 Date_of_death = Jun2004 Prediction Error = -1.279 Date_of_death = May2004 Prediction Error = -0.03 Date_of_death = Apr2004 Prediction Error = -1.547 Date_of_death = Mar2004 Prediction Error = 0.2031 Date_of_death = Feb2004 Prediction Error = -0.554 Date_of_death = Jan2004 Prediction Error = 3.2265 Date_of_death = Dec2003 Prediction Error = -4.722 Date_of_death = Nov2003 Prediction Error = -0.394 Date_of_death = Oct2003 Prediction Error = 0.944 Date_of_death = Sep2003 Prediction Error = -0.395 Date_of_death = Aug2003 Prediction Error = 2.6236 Date_of_death = Jul2003 Prediction Error = 2.643 Date_of_death = Jun2003 Prediction Error = -3.049 Date_of_death = May2003 Prediction Error = -0.052 Date_of_death = Apr2003 Prediction Error = 3.3066 Date_of_death = Mar2003 Prediction Error = 1.6523 Date_of_death = Feb2003 Prediction Error = -0.687 Date_of_death = Jan2003 Prediction Error = 5.6919 Date_of_death = Dec2002 Prediction Error = -0.983 Date_of_death = Nov2002 Prediction Error = 4.0417 Date_of_death = Oct2002 Prediction Error = 0.0442 Date_of_death = Sep2002 Prediction Error = -1.965 Date_of_death = Aug2002 Prediction Error = -0.466 Date_of_death = Jul2002 Prediction Error = -0.467 Date_of_death = Jun2002 Prediction Error = -2.984 Date_of_death = May2002 Prediction Error = 0.0171 Date_of_death = Apr2002 Prediction Error = 0.5208 Date_of_death = Mar2002 Prediction Error = -0.481 Date_of_death = Feb2002 Prediction Error = -2.496 Date_of_death = Jan2002 Prediction Error = 4.0284 Date_of_death = Dec2001 Prediction Error = -7.996 Date_of_death = Nov2001 Prediction Error = 0.0041 Date_of_death = Oct2001 Prediction Error = 0.0038 Date_of_death = Sep2001 Prediction Error = -6.018 Date_of_death = Aug2001 Prediction Error = -1.024 Date_of_death = Jul2001 Prediction Error = -1.03 Date_of_death = Jun2001 Prediction Error = 7.996 Date_of_death = May2001 Prediction Error = 2.003 Date_of_death = Apr2001 Prediction Error = -1 Date_of_death = Mar2001 Prediction Error = 1.0034 Date_of_death = Feb2001 Prediction Error = -1 Date_of_death = Jan2001 Prediction Error = 27E-16 Date_of_death = Oct2019 2*STD = 4.3372 -2*STD = -4.337 Date_of_death = Sep2019 2*STD = 4.3372 -2*STD = -4.337 Date_of_death = Sep2019 2*STD = 4.3372 -2*STD = -4.337 Date_of_death = Aug2019 2*STD = 4.3373 -2*STD = -4.337 Date_of_death = Aug2019 2*STD = 4.3373 -2*STD = -4.337 Date_of_death = Jul2019 2*STD = 4.3373 -2*STD = -4.337 Date_of_death = Jul2019 2*STD = 4.3373 -2*STD = -4.337 Date_of_death = Jun2019 2*STD = 4.3373 -2*STD = -4.337 Date_of_death = Jun2019 2*STD = 4.3373 -2*STD = -4.337 Date_of_death = May2019 2*STD = 4.3374 -2*STD = -4.337 Date_of_death = May2019 2*STD = 4.3374 -2*STD = -4.337 Date_of_death = Apr2019 2*STD = 4.3374 -2*STD = -4.337 Date_of_death = Apr2019 2*STD = 4.3374 -2*STD = -4.337 Date_of_death = Mar2019 2*STD = 4.3375 -2*STD = -4.337 Date_of_death = Mar2019 2*STD = 4.3375 -2*STD = -4.337 Date_of_death = Feb2019 2*STD = 4.3375 -2*STD = -4.338 Date_of_death = Feb2019 2*STD = 4.3375 -2*STD = -4.338 Date_of_death = Jan2019 2*STD = 4.3376 -2*STD = -4.338 Date_of_death = Jan2019 2*STD = 4.3376 -2*STD = -4.338 Date_of_death = Dec2018 2*STD = 4.3427 -2*STD = -4.343 Date_of_death = Dec2018 2*STD = 4.3427 -2*STD = -4.343 Date_of_death = Nov2018 2*STD = 4.3427 -2*STD = -4.343 Date_of_death = Nov2018 2*STD = 4.3427 -2*STD = -4.343 Date_of_death = Oct2018 2*STD = 4.3427 -2*STD = -4.343 Date_of_death = Oct2018 2*STD = 4.3427 -2*STD = -4.343 Date_of_death = Sep2018 2*STD = 4.3427 -2*STD = -4.343 Date_of_death = Sep2018 2*STD = 4.3427 -2*STD = -4.343 Date_of_death = Aug2018 2*STD = 4.3428 -2*STD = -4.343 Date_of_death = Aug2018 2*STD = 4.3428 -2*STD = -4.343 Date_of_death = Jul2018 2*STD = 4.3428 -2*STD = -4.343 Date_of_death = Jul2018 2*STD = 4.3428 -2*STD = -4.343 Date_of_death = Jun2018 2*STD = 4.3428 -2*STD = -4.343 Date_of_death = Jun2018 2*STD = 4.3428 -2*STD = -4.343 Date_of_death = May2018 2*STD = 4.3429 -2*STD = -4.343 Date_of_death = May2018 2*STD = 4.3429 -2*STD = -4.343 Date_of_death = Apr2018 2*STD = 4.3429 -2*STD = -4.343 Date_of_death = Apr2018 2*STD = 4.3429 -2*STD = -4.343 Date_of_death = Mar2018 2*STD = 4.343 -2*STD = -4.343 Date_of_death = Mar2018 2*STD = 4.343 -2*STD = -4.343 Date_of_death = Feb2018 2*STD = 4.343 -2*STD = -4.343 Date_of_death = Feb2018 2*STD = 4.343 -2*STD = -4.343 Date_of_death = Jan2018 2*STD = 4.3431 -2*STD = -4.343 Date_of_death = Jan2018 2*STD = 4.3431 -2*STD = -4.343 Date_of_death = Dec2017 2*STD = 4.3488 -2*STD = -4.349 Date_of_death = Dec2017 2*STD = 4.3488 -2*STD = -4.349 Date_of_death = Nov2017 2*STD = 4.3488 -2*STD = -4.349 Date_of_death = Nov2017 2*STD = 4.3488 -2*STD = -4.349 Date_of_death = Oct2017 2*STD = 4.3489 -2*STD = -4.349 Date_of_death = Oct2017 2*STD = 4.3489 -2*STD = -4.349 Date_of_death = Sep2017 2*STD = 4.3489 -2*STD = -4.349 Date_of_death = Sep2017 2*STD = 4.3489 -2*STD = -4.349 Date_of_death = Aug2017 2*STD = 4.3489 -2*STD = -4.349 Date_of_death = Aug2017 2*STD = 4.3489 -2*STD = -4.349 Date_of_death = Jul2017 2*STD = 4.349 -2*STD = -4.349 Date_of_death = Jul2017 2*STD = 4.349 -2*STD = -4.349 Date_of_death = Jun2017 2*STD = 4.349 -2*STD = -4.349 Date_of_death = Jun2017 2*STD = 4.349 -2*STD = -4.349 Date_of_death = May2017 2*STD = 4.3491 -2*STD = -4.349 Date_of_death = May2017 2*STD = 4.3491 -2*STD = -4.349 Date_of_death = Apr2017 2*STD = 4.3491 -2*STD = -4.349 Date_of_death = Apr2017 2*STD = 4.3491 -2*STD = -4.349 Date_of_death = Mar2017 2*STD = 4.3492 -2*STD = -4.349 Date_of_death = Mar2017 2*STD = 4.3492 -2*STD = -4.349 Date_of_death = Feb2017 2*STD = 4.3492 -2*STD = -4.349 Date_of_death = Feb2017 2*STD = 4.3492 -2*STD = -4.349 Date_of_death = Jan2017 2*STD = 4.3493 -2*STD = -4.349 Date_of_death = Jan2017 2*STD = 4.3493 -2*STD = -4.349 Date_of_death = Dec2016 2*STD = 4.3557 -2*STD = -4.356 Date_of_death = Dec2016 2*STD = 4.3557 -2*STD = -4.356 Date_of_death = Nov2016 2*STD = 4.3557 -2*STD = -4.356 Date_of_death = Nov2016 2*STD = 4.3557 -2*STD = -4.356 Date_of_death = Oct2016 2*STD = 4.3558 -2*STD = -4.356 Date_of_death = Oct2016 2*STD = 4.3558 -2*STD = -4.356 Date_of_death = Sep2016 2*STD = 4.3558 -2*STD = -4.356 Date_of_death = Sep2016 2*STD = 4.3558 -2*STD = -4.356 Date_of_death = Aug2016 2*STD = 4.3558 -2*STD = -4.356 Date_of_death = Aug2016 2*STD = 4.3558 -2*STD = -4.356 Date_of_death = Jul2016 2*STD = 4.3559 -2*STD = -4.356 Date_of_death = Jul2016 2*STD = 4.3559 -2*STD = -4.356 Date_of_death = Jun2016 2*STD = 4.3559 -2*STD = -4.356 Date_of_death = Jun2016 2*STD = 4.3559 -2*STD = -4.356 Date_of_death = May2016 2*STD = 4.356 -2*STD = -4.356 Date_of_death = May2016 2*STD = 4.356 -2*STD = -4.356 Date_of_death = Apr2016 2*STD = 4.356 -2*STD = -4.356 Date_of_death = Apr2016 2*STD = 4.356 -2*STD = -4.356 Date_of_death = Mar2016 2*STD = 4.3561 -2*STD = -4.356 Date_of_death = Mar2016 2*STD = 4.3561 -2*STD = -4.356 Date_of_death = Feb2016 2*STD = 4.3562 -2*STD = -4.356 Date_of_death = Feb2016 2*STD = 4.3562 -2*STD = -4.356 Date_of_death = Jan2016 2*STD = 4.3562 -2*STD = -4.356 Date_of_death = Jan2016 2*STD = 4.3562 -2*STD = -4.356 Date_of_death = Dec2015 2*STD = 4.3635 -2*STD = -4.364 Date_of_death = Dec2015 2*STD = 4.3635 -2*STD = -4.364 Date_of_death = Nov2015 2*STD = 4.3635 -2*STD = -4.364 Date_of_death = Nov2015 2*STD = 4.3635 -2*STD = -4.364 Date_of_death = Oct2015 2*STD = 4.3636 -2*STD = -4.364 Date_of_death = Oct2015 2*STD = 4.3636 -2*STD = -4.364 Date_of_death = Sep2015 2*STD = 4.3636 -2*STD = -4.364 Date_of_death = Sep2015 2*STD = 4.3636 -2*STD = -4.364 Date_of_death = Aug2015 2*STD = 4.3637 -2*STD = -4.364 Date_of_death = Aug2015 2*STD = 4.3637 -2*STD = -4.364 Date_of_death = Jul2015 2*STD = 4.3637 -2*STD = -4.364 Date_of_death = Jul2015 2*STD = 4.3637 -2*STD = -4.364 Date_of_death = Jun2015 2*STD = 4.3638 -2*STD = -4.364 Date_of_death = Jun2015 2*STD = 4.3638 -2*STD = -4.364 Date_of_death = May2015 2*STD = 4.3638 -2*STD = -4.364 Date_of_death = May2015 2*STD = 4.3638 -2*STD = -4.364 Date_of_death = Apr2015 2*STD = 4.3639 -2*STD = -4.364 Date_of_death = Apr2015 2*STD = 4.3639 -2*STD = -4.364 Date_of_death = Mar2015 2*STD = 4.3639 -2*STD = -4.364 Date_of_death = Mar2015 2*STD = 4.3639 -2*STD = -4.364 Date_of_death = Feb2015 2*STD = 4.364 -2*STD = -4.364 Date_of_death = Feb2015 2*STD = 4.364 -2*STD = -4.364 Date_of_death = Jan2015 2*STD = 4.3641 -2*STD = -4.364 Date_of_death = Jan2015 2*STD = 4.3641 -2*STD = -4.364 Date_of_death = Dec2014 2*STD = 4.3724 -2*STD = -4.372 Date_of_death = Dec2014 2*STD = 4.3724 -2*STD = -4.372 Date_of_death = Nov2014 2*STD = 4.3725 -2*STD = -4.372 Date_of_death = Nov2014 2*STD = 4.3725 -2*STD = -4.372 Date_of_death = Oct2014 2*STD = 4.3725 -2*STD = -4.372 Date_of_death = Oct2014 2*STD = 4.3725 -2*STD = -4.372 Date_of_death = Sep2014 2*STD = 4.3725 -2*STD = -4.373 Date_of_death = Sep2014 2*STD = 4.3725 -2*STD = -4.373 Date_of_death = Aug2014 2*STD = 4.3726 -2*STD = -4.373 Date_of_death = Aug2014 2*STD = 4.3726 -2*STD = -4.373 Date_of_death = Jul2014 2*STD = 4.3726 -2*STD = -4.373 Date_of_death = Jul2014 2*STD = 4.3726 -2*STD = -4.373 Date_of_death = Jun2014 2*STD = 4.3727 -2*STD = -4.373 Date_of_death = Jun2014 2*STD = 4.3727 -2*STD = -4.373 Date_of_death = May2014 2*STD = 4.3727 -2*STD = -4.373 Date_of_death = May2014 2*STD = 4.3727 -2*STD = -4.373 Date_of_death = Apr2014 2*STD = 4.3728 -2*STD = -4.373 Date_of_death = Apr2014 2*STD = 4.3728 -2*STD = -4.373 Date_of_death = Mar2014 2*STD = 4.3729 -2*STD = -4.373 Date_of_death = Mar2014 2*STD = 4.3729 -2*STD = -4.373 Date_of_death = Feb2014 2*STD = 4.373 -2*STD = -4.373 Date_of_death = Feb2014 2*STD = 4.373 -2*STD = -4.373 Date_of_death = Jan2014 2*STD = 4.3731 -2*STD = -4.373 Date_of_death = Jan2014 2*STD = 4.3731 -2*STD = -4.373 Date_of_death = Dec2013 2*STD = 4.3827 -2*STD = -4.383 Date_of_death = Dec2013 2*STD = 4.3827 -2*STD = -4.383 Date_of_death = Nov2013 2*STD = 4.3827 -2*STD = -4.383 Date_of_death = Nov2013 2*STD = 4.3827 -2*STD = -4.383 Date_of_death = Oct2013 2*STD = 4.3828 -2*STD = -4.383 Date_of_death = Oct2013 2*STD = 4.3828 -2*STD = -4.383 Date_of_death = Sep2013 2*STD = 4.3828 -2*STD = -4.383 Date_of_death = Sep2013 2*STD = 4.3828 -2*STD = -4.383 Date_of_death = Aug2013 2*STD = 4.3829 -2*STD = -4.383 Date_of_death = Aug2013 2*STD = 4.3829 -2*STD = -4.383 Date_of_death = Jul2013 2*STD = 4.3829 -2*STD = -4.383 Date_of_death = Jul2013 2*STD = 4.3829 -2*STD = -4.383 Date_of_death = Jun2013 2*STD = 4.383 -2*STD = -4.383 Date_of_death = Jun2013 2*STD = 4.383 -2*STD = -4.383 Date_of_death = May2013 2*STD = 4.383 -2*STD = -4.383 Date_of_death = May2013 2*STD = 4.383 -2*STD = -4.383 Date_of_death = Apr2013 2*STD = 4.3831 -2*STD = -4.383 Date_of_death = Apr2013 2*STD = 4.3831 -2*STD = -4.383 Date_of_death = Mar2013 2*STD = 4.3832 -2*STD = -4.383 Date_of_death = Mar2013 2*STD = 4.3832 -2*STD = -4.383 Date_of_death = Feb2013 2*STD = 4.3833 -2*STD = -4.383 Date_of_death = Feb2013 2*STD = 4.3833 -2*STD = -4.383 Date_of_death = Jan2013 2*STD = 4.3834 -2*STD = -4.383 Date_of_death = Jan2013 2*STD = 4.3834 -2*STD = -4.383 Date_of_death = Dec2012 2*STD = 4.3946 -2*STD = -4.395 Date_of_death = Dec2012 2*STD = 4.3946 -2*STD = -4.395 Date_of_death = Nov2012 2*STD = 4.3947 -2*STD = -4.395 Date_of_death = Nov2012 2*STD = 4.3947 -2*STD = -4.395 Date_of_death = Oct2012 2*STD = 4.3947 -2*STD = -4.395 Date_of_death = Oct2012 2*STD = 4.3947 -2*STD = -4.395 Date_of_death = Sep2012 2*STD = 4.3948 -2*STD = -4.395 Date_of_death = Sep2012 2*STD = 4.3948 -2*STD = -4.395 Date_of_death = Aug2012 2*STD = 4.3948 -2*STD = -4.395 Date_of_death = Aug2012 2*STD = 4.3948 -2*STD = -4.395 Date_of_death = Jul2012 2*STD = 4.3949 -2*STD = -4.395 Date_of_death = Jul2012 2*STD = 4.3949 -2*STD = -4.395 Date_of_death = Jun2012 2*STD = 4.3949 -2*STD = -4.395 Date_of_death = Jun2012 2*STD = 4.3949 -2*STD = -4.395 Date_of_death = May2012 2*STD = 4.395 -2*STD = -4.395 Date_of_death = May2012 2*STD = 4.395 -2*STD = -4.395 Date_of_death = Apr2012 2*STD = 4.3951 -2*STD = -4.395 Date_of_death = Apr2012 2*STD = 4.3951 -2*STD = -4.395 Date_of_death = Mar2012 2*STD = 4.3952 -2*STD = -4.395 Date_of_death = Mar2012 2*STD = 4.3952 -2*STD = -4.395 Date_of_death = Feb2012 2*STD = 4.3953 -2*STD = -4.395 Date_of_death = Feb2012 2*STD = 4.3953 -2*STD = -4.395 Date_of_death = Jan2012 2*STD = 4.3954 -2*STD = -4.395 Date_of_death = Jan2012 2*STD = 4.3954 -2*STD = -4.395 Date_of_death = Dec2011 2*STD = 4.4087 -2*STD = -4.409 Date_of_death = Dec2011 2*STD = 4.4087 -2*STD = -4.409 Date_of_death = Nov2011 2*STD = 4.4088 -2*STD = -4.409 Date_of_death = Nov2011 2*STD = 4.4088 -2*STD = -4.409 Date_of_death = Oct2011 2*STD = 4.4088 -2*STD = -4.409 Date_of_death = Oct2011 2*STD = 4.4088 -2*STD = -4.409 Date_of_death = Sep2011 2*STD = 4.4089 -2*STD = -4.409 Date_of_death = Sep2011 2*STD = 4.4089 -2*STD = -4.409 Date_of_death = Aug2011 2*STD = 4.4089 -2*STD = -4.409 Date_of_death = Aug2011 2*STD = 4.4089 -2*STD = -4.409 Date_of_death = Jul2011 2*STD = 4.409 -2*STD = -4.409 Date_of_death = Jul2011 2*STD = 4.409 -2*STD = -4.409 Date_of_death = Jun2011 2*STD = 4.4091 -2*STD = -4.409 Date_of_death = Jun2011 2*STD = 4.4091 -2*STD = -4.409 Date_of_death = May2011 2*STD = 4.4091 -2*STD = -4.409 Date_of_death = May2011 2*STD = 4.4091 -2*STD = -4.409 Date_of_death = Apr2011 2*STD = 4.4092 -2*STD = -4.409 Date_of_death = Apr2011 2*STD = 4.4092 -2*STD = -4.409 Date_of_death = Mar2011 2*STD = 4.4093 -2*STD = -4.409 Date_of_death = Mar2011 2*STD = 4.4093 -2*STD = -4.409 Date_of_death = Feb2011 2*STD = 4.4094 -2*STD = -4.409 Date_of_death = Feb2011 2*STD = 4.4094 -2*STD = -4.409 Date_of_death = Jan2011 2*STD = 4.4095 -2*STD = -4.41 Date_of_death = Jan2011 2*STD = 4.4095 -2*STD = -4.41 Date_of_death = Dec2010 2*STD = 4.4256 -2*STD = -4.426 Date_of_death = Dec2010 2*STD = 4.4256 -2*STD = -4.426 Date_of_death = Nov2010 2*STD = 4.4257 -2*STD = -4.426 Date_of_death = Nov2010 2*STD = 4.4257 -2*STD = -4.426 Date_of_death = Oct2010 2*STD = 4.4257 -2*STD = -4.426 Date_of_death = Oct2010 2*STD = 4.4257 -2*STD = -4.426 Date_of_death = Sep2010 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Sep2010 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Aug2010 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Aug2010 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Jul2010 2*STD = 4.4259 -2*STD = -4.426 Date_of_death = Jul2010 2*STD = 4.4259 -2*STD = -4.426 Date_of_death = Jun2010 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Jun2010 2*STD = 4.426 -2*STD = -4.426 Date_of_death = May2010 2*STD = 4.426 -2*STD = -4.426 Date_of_death = May2010 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Apr2010 2*STD = 4.4261 -2*STD = -4.426 Date_of_death = Apr2010 2*STD = 4.4261 -2*STD = -4.426 Date_of_death = Mar2010 2*STD = 4.4262 -2*STD = -4.426 Date_of_death = Mar2010 2*STD = 4.4262 -2*STD = -4.426 Date_of_death = Feb2010 2*STD = 4.4263 -2*STD = -4.426 Date_of_death = Feb2010 2*STD = 4.4263 -2*STD = -4.426 Date_of_death = Jan2010 2*STD = 4.4264 -2*STD = -4.426 Date_of_death = Jan2010 2*STD = 4.4264 -2*STD = -4.426 Date_of_death = Dec2009 2*STD = 4.4462 -2*STD = -4.446 Date_of_death = Dec2009 2*STD = 4.4462 -2*STD = -4.446 Date_of_death = Nov2009 2*STD = 4.4463 -2*STD = -4.446 Date_of_death = Nov2009 2*STD = 4.4463 -2*STD = -4.446 Date_of_death = Oct2009 2*STD = 4.4463 -2*STD = -4.446 Date_of_death = Oct2009 2*STD = 4.4463 -2*STD = -4.446 Date_of_death = Sep2009 2*STD = 4.4464 -2*STD = -4.446 Date_of_death = Sep2009 2*STD = 4.4464 -2*STD = -4.446 Date_of_death = Aug2009 2*STD = 4.4464 -2*STD = -4.446 Date_of_death = Aug2009 2*STD = 4.4464 -2*STD = -4.446 Date_of_death = Jul2009 2*STD = 4.4465 -2*STD = -4.446 Date_of_death = Jul2009 2*STD = 4.4465 -2*STD = -4.446 Date_of_death = Jun2009 2*STD = 4.4466 -2*STD = -4.447 Date_of_death = Jun2009 2*STD = 4.4466 -2*STD = -4.447 Date_of_death = May2009 2*STD = 4.4467 -2*STD = -4.447 Date_of_death = May2009 2*STD = 4.4467 -2*STD = -4.447 Date_of_death = Apr2009 2*STD = 4.4467 -2*STD = -4.447 Date_of_death = Apr2009 2*STD = 4.4467 -2*STD = -4.447 Date_of_death = Mar2009 2*STD = 4.4468 -2*STD = -4.447 Date_of_death = Mar2009 2*STD = 4.4468 -2*STD = -4.447 Date_of_death = Feb2009 2*STD = 4.447 -2*STD = -4.447 Date_of_death = Feb2009 2*STD = 4.447 -2*STD = -4.447 Date_of_death = Jan2009 2*STD = 4.4471 -2*STD = -4.447 Date_of_death = Jan2009 2*STD = 4.4471 -2*STD = -4.447 Date_of_death = Dec2008 2*STD = 4.4719 -2*STD = -4.472 Date_of_death = Dec2008 2*STD = 4.4719 -2*STD = -4.472 Date_of_death = Nov2008 2*STD = 4.472 -2*STD = -4.472 Date_of_death = Nov2008 2*STD = 4.472 -2*STD = -4.472 Date_of_death = Oct2008 2*STD = 4.472 -2*STD = -4.472 Date_of_death = Oct2008 2*STD = 4.472 -2*STD = -4.472 Date_of_death = Sep2008 2*STD = 4.4721 -2*STD = -4.472 Date_of_death = Sep2008 2*STD = 4.4721 -2*STD = -4.472 Date_of_death = Aug2008 2*STD = 4.4721 -2*STD = -4.472 Date_of_death = Aug2008 2*STD = 4.4721 -2*STD = -4.472 Date_of_death = Jul2008 2*STD = 4.4722 -2*STD = -4.472 Date_of_death = Jul2008 2*STD = 4.4722 -2*STD = -4.472 Date_of_death = Jun2008 2*STD = 4.4723 -2*STD = -4.472 Date_of_death = Jun2008 2*STD = 4.4723 -2*STD = -4.472 Date_of_death = May2008 2*STD = 4.4724 -2*STD = -4.472 Date_of_death = May2008 2*STD = 4.4724 -2*STD = -4.472 Date_of_death = Apr2008 2*STD = 4.4725 -2*STD = -4.472 Date_of_death = Apr2008 2*STD = 4.4725 -2*STD = -4.472 Date_of_death = Mar2008 2*STD = 4.4726 -2*STD = -4.473 Date_of_death = Mar2008 2*STD = 4.4726 -2*STD = -4.473 Date_of_death = Feb2008 2*STD = 4.4727 -2*STD = -4.473 Date_of_death = Feb2008 2*STD = 4.4727 -2*STD = -4.473 Date_of_death = Jan2008 2*STD = 4.4728 -2*STD = -4.473 Date_of_death = Jan2008 2*STD = 4.4728 -2*STD = -4.473 Date_of_death = Dec2007 2*STD = 4.5049 -2*STD = -4.505 Date_of_death = Dec2007 2*STD = 4.5049 -2*STD = -4.505 Date_of_death = Nov2007 2*STD = 4.505 -2*STD = -4.505 Date_of_death = Nov2007 2*STD = 4.505 -2*STD = -4.505 Date_of_death = Oct2007 2*STD = 4.505 -2*STD = -4.505 Date_of_death = Oct2007 2*STD = 4.505 -2*STD = -4.505 Date_of_death = Sep2007 2*STD = 4.5051 -2*STD = -4.505 Date_of_death = Sep2007 2*STD = 4.5051 -2*STD = -4.505 Date_of_death = Aug2007 2*STD = 4.5051 -2*STD = -4.505 Date_of_death = Aug2007 2*STD = 4.5051 -2*STD = -4.505 Date_of_death = Jul2007 2*STD = 4.5052 -2*STD = -4.505 Date_of_death = Jul2007 2*STD = 4.5052 -2*STD = -4.505 Date_of_death = Jun2007 2*STD = 4.5053 -2*STD = -4.505 Date_of_death = Jun2007 2*STD = 4.5053 -2*STD = -4.505 Date_of_death = May2007 2*STD = 4.5054 -2*STD = -4.505 Date_of_death = May2007 2*STD = 4.5054 -2*STD = -4.505 Date_of_death = Apr2007 2*STD = 4.5055 -2*STD = -4.505 Date_of_death = Apr2007 2*STD = 4.5055 -2*STD = -4.505 Date_of_death = Mar2007 2*STD = 4.5056 -2*STD = -4.506 Date_of_death = Mar2007 2*STD = 4.5056 -2*STD = -4.506 Date_of_death = Feb2007 2*STD = 4.5057 -2*STD = -4.506 Date_of_death = Feb2007 2*STD = 4.5057 -2*STD = -4.506 Date_of_death = Jan2007 2*STD = 4.5058 -2*STD = -4.506 Date_of_death = Jan2007 2*STD = 4.5058 -2*STD = -4.506 Date_of_death = Dec2006 2*STD = 4.5489 -2*STD = -4.549 Date_of_death = Dec2006 2*STD = 4.5489 -2*STD = -4.549 Date_of_death = Nov2006 2*STD = 4.5489 -2*STD = -4.549 Date_of_death = Nov2006 2*STD = 4.5489 -2*STD = -4.549 Date_of_death = Oct2006 2*STD = 4.5489 -2*STD = -4.549 Date_of_death = Oct2006 2*STD = 4.5489 -2*STD = -4.549 Date_of_death = Sep2006 2*STD = 4.549 -2*STD = -4.549 Date_of_death = Sep2006 2*STD = 4.549 -2*STD = -4.549 Date_of_death = Aug2006 2*STD = 4.549 -2*STD = -4.549 Date_of_death = Aug2006 2*STD = 4.549 -2*STD = -4.549 Date_of_death = Jul2006 2*STD = 4.5491 -2*STD = -4.549 Date_of_death = Jul2006 2*STD = 4.5491 -2*STD = -4.549 Date_of_death = Jun2006 2*STD = 4.5492 -2*STD = -4.549 Date_of_death = Jun2006 2*STD = 4.5492 -2*STD = -4.549 Date_of_death = May2006 2*STD = 4.5492 -2*STD = -4.549 Date_of_death = May2006 2*STD = 4.5492 -2*STD = -4.549 Date_of_death = Apr2006 2*STD = 4.5493 -2*STD = -4.549 Date_of_death = Apr2006 2*STD = 4.5493 -2*STD = -4.549 Date_of_death = Mar2006 2*STD = 4.5494 -2*STD = -4.549 Date_of_death = Mar2006 2*STD = 4.5494 -2*STD = -4.549 Date_of_death = Feb2006 2*STD = 4.5495 -2*STD = -4.55 Date_of_death = Feb2006 2*STD = 4.5495 -2*STD = -4.55 Date_of_death = Jan2006 2*STD = 4.5496 -2*STD = -4.55 Date_of_death = Jan2006 2*STD = 4.5496 -2*STD = -4.55 Date_of_death = Dec2005 2*STD = 4.6101 -2*STD = -4.61 Date_of_death = Dec2005 2*STD = 4.6101 -2*STD = -4.61 Date_of_death = Nov2005 2*STD = 4.6101 -2*STD = -4.61 Date_of_death = Nov2005 2*STD = 4.6101 -2*STD = -4.61 Date_of_death = Oct2005 2*STD = 4.6102 -2*STD = -4.61 Date_of_death = Oct2005 2*STD = 4.6102 -2*STD = -4.61 Date_of_death = Sep2005 2*STD = 4.6102 -2*STD = -4.61 Date_of_death = Sep2005 2*STD = 4.6102 -2*STD = -4.61 Date_of_death = Aug2005 2*STD = 4.6103 -2*STD = -4.61 Date_of_death = Aug2005 2*STD = 4.6103 -2*STD = -4.61 Date_of_death = Jul2005 2*STD = 4.6103 -2*STD = -4.61 Date_of_death = Jul2005 2*STD = 4.6103 -2*STD = -4.61 Date_of_death = Jun2005 2*STD = 4.6104 -2*STD = -4.61 Date_of_death = Jun2005 2*STD = 4.6104 -2*STD = -4.61 Date_of_death = May2005 2*STD = 4.6104 -2*STD = -4.61 Date_of_death = May2005 2*STD = 4.6104 -2*STD = -4.61 Date_of_death = Apr2005 2*STD = 4.6105 -2*STD = -4.611 Date_of_death = Apr2005 2*STD = 4.6105 -2*STD = -4.611 Date_of_death = Mar2005 2*STD = 4.6106 -2*STD = -4.611 Date_of_death = Mar2005 2*STD = 4.6106 -2*STD = -4.611 Date_of_death = Feb2005 2*STD = 4.6107 -2*STD = -4.611 Date_of_death = Feb2005 2*STD = 4.6107 -2*STD = -4.611 Date_of_death = Jan2005 2*STD = 4.6108 -2*STD = -4.611 Date_of_death = Jan2005 2*STD = 4.6108 -2*STD = -4.611 Date_of_death = Dec2004 2*STD = 4.7013 -2*STD = -4.701 Date_of_death = Dec2004 2*STD = 4.7013 -2*STD = -4.701 Date_of_death = Nov2004 2*STD = 4.7013 -2*STD = -4.701 Date_of_death = Nov2004 2*STD = 4.7013 -2*STD = -4.701 Date_of_death = Oct2004 2*STD = 4.7014 -2*STD = -4.701 Date_of_death = Oct2004 2*STD = 4.7014 -2*STD = -4.701 Date_of_death = Sep2004 2*STD = 4.7014 -2*STD = -4.701 Date_of_death = Sep2004 2*STD = 4.7014 -2*STD = -4.701 Date_of_death = Aug2004 2*STD = 4.7014 -2*STD = -4.701 Date_of_death = Aug2004 2*STD = 4.7014 -2*STD = -4.701 Date_of_death = Jul2004 2*STD = 4.7015 -2*STD = -4.701 Date_of_death = Jul2004 2*STD = 4.7015 -2*STD = -4.701 Date_of_death = Jun2004 2*STD = 4.7015 -2*STD = -4.702 Date_of_death = Jun2004 2*STD = 4.7015 -2*STD = -4.702 Date_of_death = May2004 2*STD = 4.7016 -2*STD = -4.702 Date_of_death = May2004 2*STD = 4.7016 -2*STD = -4.702 Date_of_death = Apr2004 2*STD = 4.7016 -2*STD = -4.702 Date_of_death = Apr2004 2*STD = 4.7016 -2*STD = -4.702 Date_of_death = Mar2004 2*STD = 4.7017 -2*STD = -4.702 Date_of_death = Mar2004 2*STD = 4.7017 -2*STD = -4.702 Date_of_death = Feb2004 2*STD = 4.7018 -2*STD = -4.702 Date_of_death = Feb2004 2*STD = 4.7018 -2*STD = -4.702 Date_of_death = Jan2004 2*STD = 4.7019 -2*STD = -4.702 Date_of_death = Jan2004 2*STD = 4.7019 -2*STD = -4.702 Date_of_death = Dec2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Dec2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Nov2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Nov2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Oct2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Oct2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Sep2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Sep2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Aug2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Aug2003 2*STD = 4.851 -2*STD = -4.851 Date_of_death = Jul2003 2*STD = 4.8511 -2*STD = -4.851 Date_of_death = Jul2003 2*STD = 4.8511 -2*STD = -4.851 Date_of_death = Jun2003 2*STD = 4.8511 -2*STD = -4.851 Date_of_death = Jun2003 2*STD = 4.8511 -2*STD = -4.851 Date_of_death = May2003 2*STD = 4.8511 -2*STD = -4.851 Date_of_death = May2003 2*STD = 4.8511 -2*STD = -4.851 Date_of_death = Apr2003 2*STD = 4.8512 -2*STD = -4.851 Date_of_death = Apr2003 2*STD = 4.8512 -2*STD = -4.851 Date_of_death = Mar2003 2*STD = 4.8512 -2*STD = -4.851 Date_of_death = Mar2003 2*STD = 4.8512 -2*STD = -4.851 Date_of_death = Feb2003 2*STD = 4.8513 -2*STD = -4.851 Date_of_death = Feb2003 2*STD = 4.8513 -2*STD = -4.851 Date_of_death = Jan2003 2*STD = 4.8514 -2*STD = -4.851 Date_of_death = Jan2003 2*STD = 4.8514 -2*STD = -4.851 Date_of_death = Dec2002 2*STD = 5.1398 -2*STD = -5.14 Date_of_death = Dec2002 2*STD = 5.1398 -2*STD = -5.14 Date_of_death = Nov2002 2*STD = 5.1398 -2*STD = -5.14 Date_of_death = Nov2002 2*STD = 5.1398 -2*STD = -5.14 Date_of_death = Oct2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Oct2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Sep2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Sep2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Aug2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Aug2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Jul2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Jul2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Jun2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Jun2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = May2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = May2002 2*STD = 5.1399 -2*STD = -5.14 Date_of_death = Apr2002 2*STD = 5.14 -2*STD = -5.14 Date_of_death = Apr2002 2*STD = 5.14 -2*STD = -5.14 Date_of_death = Mar2002 2*STD = 5.14 -2*STD = -5.14 Date_of_death = Mar2002 2*STD = 5.14 -2*STD = -5.14 Date_of_death = Feb2002 2*STD = 5.1401 -2*STD = -5.14 Date_of_death = Feb2002 2*STD = 5.1401 -2*STD = -5.14 Date_of_death = Jan2002 2*STD = 5.1401 -2*STD = -5.14 Date_of_death = Jan2002 2*STD = 5.1401 -2*STD = -5.14 Date_of_death = Dec2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Dec2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Nov2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Nov2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Oct2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Oct2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Sep2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Sep2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Aug2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Aug2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Jul2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Jul2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Jun2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = Jun2001 2*STD = 5.9282 -2*STD = -5.928 Date_of_death = May2001 2*STD = 5.9283 -2*STD = -5.928 Date_of_death = May2001 2*STD = 5.9283 -2*STD = -5.928 Date_of_death = Apr2001 2*STD = 5.9283 -2*STD = -5.928 Date_of_death = Apr2001 2*STD = 5.9283 -2*STD = -5.928 Date_of_death = Mar2001 2*STD = 5.9283 -2*STD = -5.928 Date_of_death = Mar2001 2*STD = 5.9283 -2*STD = -5.928 Date_of_death = Feb2001 2*STD = 5.9283 -2*STD = -5.928 Date_of_death = Feb2001 2*STD = 5.9283 -2*STD = -5.928 Date_of_death = Jan2001 2*STD = 5.9284 -2*STD = -5.928 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
239 NOV2019 3.340109 2.16859 -0.910244 7.590462
240 DEC2019 3.392387 2.16902 -0.858810 7.643585
241 JAN2020 4.276440 2.16718 0.028844 8.524035
242 FEB2020 4.076096 2.16760 -0.172329 8.324521
243 MAR2020 3.325779 2.16802 -0.923468 7.575027
244 APR2020 3.475431 2.16844 -0.774632 7.725494
245 MAY2020 3.675104 2.16885 -0.575768 7.925976
246 JUN2020 3.724771 2.16926 -0.526903 7.976444
247 JUL2020 4.224431 2.16967 -0.028037 8.476900
248 AUG2020 3.574111 2.17007 -0.679146 7.827368
249 SEP2020 3.823762 2.17047 -0.430277 8.077800
250 OCT2020 2.623434 2.17086 -1.631378 6.878247

Forecasts Only Plot

Date_of_death = Oct2020 Forecast = 2.6234 Date_of_death = Sep2020 Forecast = 3.8238 Date_of_death = Sep2020 Forecast = 3.8238 Date_of_death = Aug2020 Forecast = 3.5741 Date_of_death = Aug2020 Forecast = 3.5741 Date_of_death = Jul2020 Forecast = 4.2244 Date_of_death = Jul2020 Forecast = 4.2244 Date_of_death = Jun2020 Forecast = 3.7248 Date_of_death = Jun2020 Forecast = 3.7248 Date_of_death = May2020 Forecast = 3.6751 Date_of_death = May2020 Forecast = 3.6751 Date_of_death = Apr2020 Forecast = 3.4754 Date_of_death = Apr2020 Forecast = 3.4754 Date_of_death = Mar2020 Forecast = 3.3258 Date_of_death = Mar2020 Forecast = 3.3258 Date_of_death = Feb2020 Forecast = 4.0761 Date_of_death = Feb2020 Forecast = 4.0761 Date_of_death = Jan2020 Forecast = 4.2764 Date_of_death = Jan2020 Forecast = 4.2764 Date_of_death = Dec2019 Forecast = 3.3924 Date_of_death = Dec2019 Forecast = 3.3924 Date_of_death = Nov2019 Forecast = 3.3401 Date_of_death = Oct2020 Upper 95% = 6.8782 Lower 95% = -1.6314 Date_of_death = Sep2020 Upper 95% = 8.0778 Lower 95% = -0.4303 Date_of_death = Sep2020 Upper 95% = 8.0778 Lower 95% = -0.4303 Date_of_death = Aug2020 Upper 95% = 7.8274 Lower 95% = -0.6791 Date_of_death = Aug2020 Upper 95% = 7.8274 Lower 95% = -0.6791 Date_of_death = Jul2020 Upper 95% = 8.4769 Lower 95% = -0.0280 Date_of_death = Jul2020 Upper 95% = 8.4769 Lower 95% = -0.0280 Date_of_death = Jun2020 Upper 95% = 7.9764 Lower 95% = -0.5269 Date_of_death = Jun2020 Upper 95% = 7.9764 Lower 95% = -0.5269 Date_of_death = May2020 Upper 95% = 7.9260 Lower 95% = -0.5758 Date_of_death = May2020 Upper 95% = 7.9260 Lower 95% = -0.5758 Date_of_death = Apr2020 Upper 95% = 7.7255 Lower 95% = -0.7746 Date_of_death = Apr2020 Upper 95% = 7.7255 Lower 95% = -0.7746 Date_of_death = Mar2020 Upper 95% = 7.5750 Lower 95% = -0.9235 Date_of_death = Mar2020 Upper 95% = 7.5750 Lower 95% = -0.9235 Date_of_death = Feb2020 Upper 95% = 8.3245 Lower 95% = -0.1723 Date_of_death = Feb2020 Upper 95% = 8.3245 Lower 95% = -0.1723 Date_of_death = Jan2020 Upper 95% = 8.5240 Lower 95% = 0.0288 Date_of_death = Jan2020 Upper 95% = 8.5240 Lower 95% = 0.0288 Date_of_death = Dec2019 Upper 95% = 7.6436 Lower 95% = -0.8588 Date_of_death = Dec2019 Upper 95% = 7.6436 Lower 95% = -0.8588 Date_of_death = Nov2019 Upper 95% = 7.5905 Lower 95% = -0.9102
Forecast Only Plot

Forecasts Plot

X = 21823 Date_of_death = Oct2020 Forecast = 2.6234 Date_of_death = Sep2020 Forecast = 3.8238 Date_of_death = Sep2020 Forecast = 3.8238 Date_of_death = Aug2020 Forecast = 3.5741 Date_of_death = Aug2020 Forecast = 3.5741 Date_of_death = Jul2020 Forecast = 4.2244 Date_of_death = Jul2020 Forecast = 4.2244 Date_of_death = Jun2020 Forecast = 3.7248 Date_of_death = Jun2020 Forecast = 3.7248 Date_of_death = May2020 Forecast = 3.6751 Date_of_death = May2020 Forecast = 3.6751 Date_of_death = Apr2020 Forecast = 3.4754 Date_of_death = Apr2020 Forecast = 3.4754 Date_of_death = Mar2020 Forecast = 3.3258 Date_of_death = Mar2020 Forecast = 3.3258 Date_of_death = Feb2020 Forecast = 4.0761 Date_of_death = Feb2020 Forecast = 4.0761 Date_of_death = Jan2020 Forecast = 4.2764 Date_of_death = Jan2020 Forecast = 4.2764 Date_of_death = Dec2019 Forecast = 3.3924 Date_of_death = Dec2019 Forecast = 3.3924 Date_of_death = Nov2019 Forecast = 3.3401 Date_of_death = Nov2019 Forecast = 3.3401 Date_of_death = Oct2019 Forecast = 2.7443 Date_of_death = Oct2019 Forecast = 2.7443 Date_of_death = Sep2019 Forecast = 3.8470 Date_of_death = Sep2019 Forecast = 3.8470 Date_of_death = Aug2019 Forecast = 3.6502 Date_of_death = Aug2019 Forecast = 3.6502 Date_of_death = Jul2019 Forecast = 4.5117 Date_of_death = Jul2019 Forecast = 4.5117 Date_of_death = Jun2019 Forecast = 3.9739 Date_of_death = Jun2019 Forecast = 3.9739 Date_of_death = May2019 Forecast = 3.6643 Date_of_death = May2019 Forecast = 3.6643 Date_of_death = Apr2019 Forecast = 3.5507 Date_of_death = Apr2019 Forecast = 3.5507 Date_of_death = Mar2019 Forecast = 3.5302 Date_of_death = Mar2019 Forecast = 3.5302 Date_of_death = Feb2019 Forecast = 4.4438 Date_of_death = Feb2019 Forecast = 4.4438 Date_of_death = Jan2019 Forecast = 4.6574 Date_of_death = Jan2019 Forecast = 4.6574 Date_of_death = Dec2018 Forecast = 3.6883 Date_of_death = Dec2018 Forecast = 3.6883 Date_of_death = Nov2018 Forecast = 3.8019 Date_of_death = Nov2018 Forecast = 3.8019 Date_of_death = Oct2018 Forecast = 3.1812 Date_of_death = Oct2018 Forecast = 3.1812 Date_of_death = Sep2018 Forecast = 4.3417 Date_of_death = Sep2018 Forecast = 4.3417 Date_of_death = Aug2018 Forecast = 4.0112 Date_of_death = Aug2018 Forecast = 4.0112 Date_of_death = Jul2018 Forecast = 4.7101 Date_of_death = Jul2018 Forecast = 4.7101 Date_of_death = Jun2018 Forecast = 4.0625 Date_of_death = Jun2018 Forecast = 4.0625 Date_of_death = May2018 Forecast = 4.0506 Date_of_death = May2018 Forecast = 4.0506 Date_of_death = Apr2018 Forecast = 3.9047 Date_of_death = Apr2018 Forecast = 3.9047 Date_of_death = Mar2018 Forecast = 3.8693 Date_of_death = Mar2018 Forecast = 3.8693 Date_of_death = Feb2018 Forecast = 4.7199 Date_of_death = Feb2018 Forecast = 4.7199 Date_of_death = Jan2018 Forecast = 4.9077 Date_of_death = Jan2018 Forecast = 4.9077 Date_of_death = Dec2017 Forecast = 3.8660 Date_of_death = Dec2017 Forecast = 3.8660 Date_of_death = Nov2017 Forecast = 3.9264 Date_of_death = Nov2017 Forecast = 3.9264 Date_of_death = Oct2017 Forecast = 3.2881 Date_of_death = Oct2017 Forecast = 3.2881 Date_of_death = Sep2017 Forecast = 4.4973 Date_of_death = Sep2017 Forecast = 4.4973 Date_of_death = Aug2017 Forecast = 3.9301 Date_of_death = Aug2017 Forecast = 3.9301 Date_of_death = Jul2017 Forecast = 4.8319 Date_of_death = Jul2017 Forecast = 4.8319 Date_of_death = Jun2017 Forecast = 3.9509 Date_of_death = Jun2017 Forecast = 3.9509 Date_of_death = May2017 Forecast = 4.0727 Date_of_death = May2017 Forecast = 4.0727 Date_of_death = Apr2017 Forecast = 4.0576 Date_of_death = Apr2017 Forecast = 4.0576 Date_of_death = Mar2017 Forecast = 3.8818 Date_of_death = Mar2017 Forecast = 3.8818 Date_of_death = Feb2017 Forecast = 4.8632 Date_of_death = Feb2017 Forecast = 4.8632 Date_of_death = Jan2017 Forecast = 4.7628 Date_of_death = Jan2017 Forecast = 4.7628 Date_of_death = Dec2016 Forecast = 3.7518 Date_of_death = Dec2016 Forecast = 3.7518 Date_of_death = Nov2016 Forecast = 3.8774 Date_of_death = Nov2016 Forecast = 3.8774 Date_of_death = Oct2016 Forecast = 3.2605 Date_of_death = Oct2016 Forecast = 3.2605 Date_of_death = Sep2016 Forecast = 4.5436 Date_of_death = Sep2016 Forecast = 4.5436 Date_of_death = Aug2016 Forecast = 3.8365 Date_of_death = Aug2016 Forecast = 3.8365 Date_of_death = Jul2016 Forecast = 4.8563 Date_of_death = Jul2016 Forecast = 4.8563 Date_of_death = Jun2016 Forecast = 3.9841 Date_of_death = Jun2016 Forecast = 3.9841 Date_of_death = May2016 Forecast = 4.2821 Date_of_death = May2016 Forecast = 4.2821 Date_of_death = Apr2016 Forecast = 4.2675 Date_of_death = Apr2016 Forecast = 4.2675 Date_of_death = Mar2016 Forecast = 3.8741 Date_of_death = Mar2016 Forecast = 3.8741 Date_of_death = Feb2016 Forecast = 4.7913 Date_of_death = Feb2016 Forecast = 4.7913 Date_of_death = Jan2016 Forecast = 4.7906 Date_of_death = Jan2016 Forecast = 4.7906 Date_of_death = Dec2015 Forecast = 3.6248 Date_of_death = Dec2015 Forecast = 3.6248 Date_of_death = Nov2015 Forecast = 4.0678 Date_of_death = Nov2015 Forecast = 4.0678 Date_of_death = Oct2015 Forecast = 3.3446 Date_of_death = Oct2015 Forecast = 3.3446 Date_of_death = Sep2015 Forecast = 4.5394 Date_of_death = Sep2015 Forecast = 4.5394 Date_of_death = Aug2015 Forecast = 3.9614 Date_of_death = Aug2015 Forecast = 3.9614 Date_of_death = Jul2015 Forecast = 4.7212 Date_of_death = Jul2015 Forecast = 4.7212 Date_of_death = Jun2015 Forecast = 4.2540 Date_of_death = Jun2015 Forecast = 4.2540 Date_of_death = May2015 Forecast = 4.4185 Date_of_death = May2015 Forecast = 4.4185 Date_of_death = Apr2015 Forecast = 4.2949 Date_of_death = Apr2015 Forecast = 4.2949 Date_of_death = Mar2015 Forecast = 3.6337 Date_of_death = Mar2015 Forecast = 3.6337 Date_of_death = Feb2015 Forecast = 4.3272 Date_of_death = Feb2015 Forecast = 4.3272 Date_of_death = Jan2015 Forecast = 4.9202 Date_of_death = Jan2015 Forecast = 4.9202 Date_of_death = Dec2014 Forecast = 3.6749 Date_of_death = Dec2014 Forecast = 3.6749 Date_of_death = Nov2014 Forecast = 3.7603 Date_of_death = Nov2014 Forecast = 3.7603 Date_of_death = Oct2014 Forecast = 3.3605 Date_of_death = Oct2014 Forecast = 3.3605 Date_of_death = Sep2014 Forecast = 4.7924 Date_of_death = Sep2014 Forecast = 4.7924 Date_of_death = Aug2014 Forecast = 3.6618 Date_of_death = Aug2014 Forecast = 3.6618 Date_of_death = Jul2014 Forecast = 5.0270 Date_of_death = Jul2014 Forecast = 5.0270 Date_of_death = Jun2014 Forecast = 4.3420 Date_of_death = Jun2014 Forecast = 4.3420 Date_of_death = May2014 Forecast = 4.5177 Date_of_death = May2014 Forecast = 4.5177 Date_of_death = Apr2014 Forecast = 4.0372 Date_of_death = Apr2014 Forecast = 4.0372 Date_of_death = Mar2014 Forecast = 3.6972 Date_of_death = Mar2014 Forecast = 3.6972 Date_of_death = Feb2014 Forecast = 4.7730 Date_of_death = Feb2014 Forecast = 4.7730 Date_of_death = Jan2014 Forecast = 5.3414 Date_of_death = Jan2014 Forecast = 5.3414 Date_of_death = Dec2013 Forecast = 4.0383 Date_of_death = Dec2013 Forecast = 4.0383 Date_of_death = Nov2013 Forecast = 3.4621 Date_of_death = Nov2013 Forecast = 3.4621 Date_of_death = Oct2013 Forecast = 3.5540 Date_of_death = Oct2013 Forecast = 3.5540 Date_of_death = Sep2013 Forecast = 4.8640 Date_of_death = Sep2013 Forecast = 4.8640 Date_of_death = Aug2013 Forecast = 3.6907 Date_of_death = Aug2013 Forecast = 3.6907 Date_of_death = Jul2013 Forecast = 5.1787 Date_of_death = Jul2013 Forecast = 5.1787 Date_of_death = Jun2013 Forecast = 4.2275 Date_of_death = Jun2013 Forecast = 4.2275 Date_of_death = May2013 Forecast = 4.1608 Date_of_death = May2013 Forecast = 4.1608 Date_of_death = Apr2013 Forecast = 3.9138 Date_of_death = Apr2013 Forecast = 3.9138 Date_of_death = Mar2013 Forecast = 3.6025 Date_of_death = Mar2013 Forecast = 3.6025 Date_of_death = Feb2013 Forecast = 4.6961 Date_of_death = Feb2013 Forecast = 4.6961 Date_of_death = Jan2013 Forecast = 4.6773 Date_of_death = Jan2013 Forecast = 4.6773 Date_of_death = Dec2012 Forecast = 3.6923 Date_of_death = Dec2012 Forecast = 3.6923 Date_of_death = Nov2012 Forecast = 3.2840 Date_of_death = Nov2012 Forecast = 3.2840 Date_of_death = Oct2012 Forecast = 3.3773 Date_of_death = Oct2012 Forecast = 3.3773 Date_of_death = Sep2012 Forecast = 4.8302 Date_of_death = Sep2012 Forecast = 4.8302 Date_of_death = Aug2012 Forecast = 3.3881 Date_of_death = Aug2012 Forecast = 3.3881 Date_of_death = Jul2012 Forecast = 4.4583 Date_of_death = Jul2012 Forecast = 4.4583 Date_of_death = Jun2012 Forecast = 3.8568 Date_of_death = Jun2012 Forecast = 3.8568 Date_of_death = May2012 Forecast = 4.1480 Date_of_death = May2012 Forecast = 4.1480 Date_of_death = Apr2012 Forecast = 4.0390 Date_of_death = Apr2012 Forecast = 4.0390 Date_of_death = Mar2012 Forecast = 3.2421 Date_of_death = Mar2012 Forecast = 3.2421 Date_of_death = Feb2012 Forecast = 4.5888 Date_of_death = Feb2012 Forecast = 4.5888 Date_of_death = Jan2012 Forecast = 4.4806 Date_of_death = Jan2012 Forecast = 4.4806 Date_of_death = Dec2011 Forecast = 3.4672 Date_of_death = Dec2011 Forecast = 3.4672 Date_of_death = Nov2011 Forecast = 3.3106 Date_of_death = Nov2011 Forecast = 3.3106 Date_of_death = Oct2011 Forecast = 2.8780 Date_of_death = Oct2011 Forecast = 2.8780 Date_of_death = Sep2011 Forecast = 4.4902 Date_of_death = Sep2011 Forecast = 4.4902 Date_of_death = Aug2011 Forecast = 3.4437 Date_of_death = Aug2011 Forecast = 3.4437 Date_of_death = Jul2011 Forecast = 4.2332 Date_of_death = Jul2011 Forecast = 4.2332 Date_of_death = Jun2011 Forecast = 3.8870 Date_of_death = Jun2011 Forecast = 3.8870 Date_of_death = May2011 Forecast = 4.0722 Date_of_death = May2011 Forecast = 4.0722 Date_of_death = Apr2011 Forecast = 3.7801 Date_of_death = Apr2011 Forecast = 3.7801 Date_of_death = Mar2011 Forecast = 2.9273 Date_of_death = Mar2011 Forecast = 2.9273 Date_of_death = Feb2011 Forecast = 4.5933 Date_of_death = Feb2011 Forecast = 4.5933 Date_of_death = Jan2011 Forecast = 4.1996 Date_of_death = Jan2011 Forecast = 4.1996 Date_of_death = Dec2010 Forecast = 3.2897 Date_of_death = Dec2010 Forecast = 3.2897 Date_of_death = Nov2010 Forecast = 3.1945 Date_of_death = Nov2010 Forecast = 3.1945 Date_of_death = Oct2010 Forecast = 2.6738 Date_of_death = Oct2010 Forecast = 2.6738 Date_of_death = Sep2010 Forecast = 4.7208 Date_of_death = Sep2010 Forecast = 4.7208 Date_of_death = Aug2010 Forecast = 3.6674 Date_of_death = Aug2010 Forecast = 3.6674 Date_of_death = Jul2010 Forecast = 4.3931 Date_of_death = Jul2010 Forecast = 4.3931 Date_of_death = Jun2010 Forecast = 3.7749 Date_of_death = Jun2010 Forecast = 3.7749 Date_of_death = May2010 Forecast = 3.9597 Date_of_death = May2010 Forecast = 3.9597 Date_of_death = Apr2010 Forecast = 3.9956 Date_of_death = Apr2010 Forecast = 3.9956 Date_of_death = Mar2010 Forecast = 2.7600 Date_of_death = Mar2010 Forecast = 2.7600 Date_of_death = Feb2010 Forecast = 4.6735 Date_of_death = Feb2010 Forecast = 4.6735 Date_of_death = Jan2010 Forecast = 3.5658 Date_of_death = Jan2010 Forecast = 3.5658 Date_of_death = Dec2009 Forecast = 3.5461 Date_of_death = Dec2009 Forecast = 3.5461 Date_of_death = Nov2009 Forecast = 3.2178 Date_of_death = Nov2009 Forecast = 3.2178 Date_of_death = Oct2009 Forecast = 2.7876 Date_of_death = Oct2009 Forecast = 2.7876 Date_of_death = Sep2009 Forecast = 4.5438 Date_of_death = Sep2009 Forecast = 4.5438 Date_of_death = Aug2009 Forecast = 3.2794 Date_of_death = Aug2009 Forecast = 3.2794 Date_of_death = Jul2009 Forecast = 4.2849 Date_of_death = Jul2009 Forecast = 4.2849 Date_of_death = Jun2009 Forecast = 4.0010 Date_of_death = Jun2009 Forecast = 4.0010 Date_of_death = May2009 Forecast = 3.8897 Date_of_death = May2009 Forecast = 3.8897 Date_of_death = Apr2009 Forecast = 3.8895 Date_of_death = Apr2009 Forecast = 3.8895 Date_of_death = Mar2009 Forecast = 2.5339 Date_of_death = Mar2009 Forecast = 2.5339 Date_of_death = Feb2009 Forecast = 4.6570 Date_of_death = Feb2009 Forecast = 4.6570 Date_of_death = Jan2009 Forecast = 3.7989 Date_of_death = Jan2009 Forecast = 3.7989 Date_of_death = Dec2008 Forecast = 3.7789 Date_of_death = Dec2008 Forecast = 3.7789 Date_of_death = Nov2008 Forecast = 3.1433 Date_of_death = Nov2008 Forecast = 3.1433 Date_of_death = Oct2008 Forecast = 2.6246 Date_of_death = Oct2008 Forecast = 2.6246 Date_of_death = Sep2008 Forecast = 3.7822 Date_of_death = Sep2008 Forecast = 3.7822 Date_of_death = Aug2008 Forecast = 3.1449 Date_of_death = Aug2008 Forecast = 3.1449 Date_of_death = Jul2008 Forecast = 4.2745 Date_of_death = Jul2008 Forecast = 4.2745 Date_of_death = Jun2008 Forecast = 4.0409 Date_of_death = Jun2008 Forecast = 4.0409 Date_of_death = May2008 Forecast = 3.6459 Date_of_death = May2008 Forecast = 3.6459 Date_of_death = Apr2008 Forecast = 3.7678 Date_of_death = Apr2008 Forecast = 3.7678 Date_of_death = Mar2008 Forecast = 1.8134 Date_of_death = Mar2008 Forecast = 1.8134 Date_of_death = Feb2008 Forecast = 4.1437 Date_of_death = Feb2008 Forecast = 4.1437 Date_of_death = Jan2008 Forecast = 3.7952 Date_of_death = Jan2008 Forecast = 3.7952 Date_of_death = Dec2007 Forecast = 3.9621 Date_of_death = Dec2007 Forecast = 3.9621 Date_of_death = Nov2007 Forecast = 3.1203 Date_of_death = Nov2007 Forecast = 3.1203 Date_of_death = Oct2007 Forecast = 2.7157 Date_of_death = Oct2007 Forecast = 2.7157 Date_of_death = Sep2007 Forecast = 4.0303 Date_of_death = Sep2007 Forecast = 4.0303 Date_of_death = Aug2007 Forecast = 3.0171 Date_of_death = Aug2007 Forecast = 3.0171 Date_of_death = Jul2007 Forecast = 3.9889 Date_of_death = Jul2007 Forecast = 3.9889 Date_of_death = Jun2007 Forecast = 4.3074 Date_of_death = Jun2007 Forecast = 4.3074 Date_of_death = May2007 Forecast = 3.1096 Date_of_death = May2007 Forecast = 3.1096 Date_of_death = Apr2007 Forecast = 3.3572 Date_of_death = Apr2007 Forecast = 3.3572 Date_of_death = Mar2007 Forecast = 1.7817 Date_of_death = Mar2007 Forecast = 1.7817 Date_of_death = Feb2007 Forecast = 4.3718 Date_of_death = Feb2007 Forecast = 4.3718 Date_of_death = Jan2007 Forecast = 3.9563 Date_of_death = Jan2007 Forecast = 3.9563 Date_of_death = Dec2006 Forecast = 3.9548 Date_of_death = Dec2006 Forecast = 3.9548 Date_of_death = Nov2006 Forecast = 3.4862 Date_of_death = Nov2006 Forecast = 3.4862 Date_of_death = Oct2006 Forecast = 2.1026 Date_of_death = Oct2006 Forecast = 2.1026 Date_of_death = Sep2006 Forecast = 3.9342 Date_of_death = Sep2006 Forecast = 3.9342 Date_of_death = Aug2006 Forecast = 2.9324 Date_of_death = Aug2006 Forecast = 2.9324 Date_of_death = Jul2006 Forecast = 4.2945 Date_of_death = Jul2006 Forecast = 4.2945 Date_of_death = Jun2006 Forecast = 3.7519 Date_of_death = Jun2006 Forecast = 3.7519 Date_of_death = May2006 Forecast = 3.0851 Date_of_death = May2006 Forecast = 3.0851 Date_of_death = Apr2006 Forecast = 3.6050 Date_of_death = Apr2006 Forecast = 3.6050 Date_of_death = Mar2006 Forecast = 1.9500 Date_of_death = Mar2006 Forecast = 1.9500 Date_of_death = Feb2006 Forecast = 3.9088 Date_of_death = Feb2006 Forecast = 3.9088 Date_of_death = Jan2006 Forecast = 4.4531 Date_of_death = Jan2006 Forecast = 4.4531 Date_of_death = Dec2005 Forecast = 4.3768 Date_of_death = Dec2005 Forecast = 4.3768 Date_of_death = Nov2005 Forecast = 4.0114 Date_of_death = Nov2005 Forecast = 4.0114 Date_of_death = Oct2005 Forecast = 2.2147 Date_of_death = Oct2005 Forecast = 2.2147 Date_of_death = Sep2005 Forecast = 3.8018 Date_of_death = Sep2005 Forecast = 3.8018 Date_of_death = Aug2005 Forecast = 3.0023 Date_of_death = Aug2005 Forecast = 3.0023 Date_of_death = Jul2005 Forecast = 3.7655 Date_of_death = Jul2005 Forecast = 3.7655 Date_of_death = Jun2005 Forecast = 3.9766 Date_of_death = Jun2005 Forecast = 3.9766 Date_of_death = May2005 Forecast = 2.9645 Date_of_death = May2005 Forecast = 2.9645 Date_of_death = Apr2005 Forecast = 4.2015 Date_of_death = Apr2005 Forecast = 4.2015 Date_of_death = Mar2005 Forecast = 1.7879 Date_of_death = Mar2005 Forecast = 1.7879 Date_of_death = Feb2005 Forecast = 4.4164 Date_of_death = Feb2005 Forecast = 4.4164 Date_of_death = Jan2005 Forecast = 4.4104 Date_of_death = Jan2005 Forecast = 4.4104 Date_of_death = Dec2004 Forecast = 4.5083 Date_of_death = Dec2004 Forecast = 4.5083 Date_of_death = Nov2004 Forecast = 4.2719 Date_of_death = Nov2004 Forecast = 4.2719 Date_of_death = Oct2004 Forecast = 2.2759 Date_of_death = Oct2004 Forecast = 2.2759 Date_of_death = Sep2004 Forecast = 4.3001 Date_of_death = Sep2004 Forecast = 4.3001 Date_of_death = Aug2004 Forecast = 3.0526 Date_of_death = Aug2004 Forecast = 3.0526 Date_of_death = Jul2004 Forecast = 3.0152 Date_of_death = Jul2004 Forecast = 3.0152 Date_of_death = Jun2004 Forecast = 4.2788 Date_of_death = Jun2004 Forecast = 4.2788 Date_of_death = May2004 Forecast = 3.0305 Date_of_death = May2004 Forecast = 3.0305 Date_of_death = Apr2004 Forecast = 4.5472 Date_of_death = Apr2004 Forecast = 4.5472 Date_of_death = Mar2004 Forecast = 1.7969 Date_of_death = Mar2004 Forecast = 1.7969 Date_of_death = Feb2004 Forecast = 4.5542 Date_of_death = Feb2004 Forecast = 4.5542 Date_of_death = Jan2004 Forecast = 3.7735 Date_of_death = Jan2004 Forecast = 3.7735 Date_of_death = Dec2003 Forecast = 5.7218 Date_of_death = Dec2003 Forecast = 5.7218 Date_of_death = Nov2003 Forecast = 4.3942 Date_of_death = Nov2003 Forecast = 4.3942 Date_of_death = Oct2003 Forecast = 2.0560 Date_of_death = Oct2003 Forecast = 2.0560 Date_of_death = Sep2003 Forecast = 4.3949 Date_of_death = Sep2003 Forecast = 4.3949 Date_of_death = Aug2003 Forecast = 2.3764 Date_of_death = Aug2003 Forecast = 2.3764 Date_of_death = Jul2003 Forecast = 2.3570 Date_of_death = Jul2003 Forecast = 2.3570 Date_of_death = Jun2003 Forecast = 5.0492 Date_of_death = Jun2003 Forecast = 5.0492 Date_of_death = May2003 Forecast = 3.0516 Date_of_death = May2003 Forecast = 3.0516 Date_of_death = Apr2003 Forecast = 3.6934 Date_of_death = Apr2003 Forecast = 3.6934 Date_of_death = Mar2003 Forecast = 1.3477 Date_of_death = Mar2003 Forecast = 1.3477 Date_of_death = Feb2003 Forecast = 4.6871 Date_of_death = Feb2003 Forecast = 4.6871 Date_of_death = Jan2003 Forecast = 2.3081 Date_of_death = Jan2003 Forecast = 2.3081 Date_of_death = Dec2002 Forecast = 5.9833 Date_of_death = Dec2002 Forecast = 5.9833 Date_of_death = Nov2002 Forecast = 2.9583 Date_of_death = Nov2002 Forecast = 2.9583 Date_of_death = Oct2002 Forecast = 1.9558 Date_of_death = Oct2002 Forecast = 1.9558 Date_of_death = Sep2002 Forecast = 4.9651 Date_of_death = Sep2002 Forecast = 4.9651 Date_of_death = Aug2002 Forecast = 2.4661 Date_of_death = Aug2002 Forecast = 2.4661 Date_of_death = Jul2002 Forecast = 2.4673 Date_of_death = Jul2002 Forecast = 2.4673 Date_of_death = Jun2002 Forecast = 5.9836 Date_of_death = Jun2002 Forecast = 5.9836 Date_of_death = May2002 Forecast = 2.9829 Date_of_death = May2002 Forecast = 2.9829 Date_of_death = Apr2002 Forecast = 3.4792 Date_of_death = Apr2002 Forecast = 3.4792 Date_of_death = Mar2002 Forecast = 1.4813 Date_of_death = Mar2002 Forecast = 1.4813 Date_of_death = Feb2002 Forecast = 5.4957 Date_of_death = Feb2002 Forecast = 5.4957 Date_of_death = Jan2002 Forecast = 0.9716 Date_of_death = Jan2002 Forecast = 0.9716 Date_of_death = Dec2001 Forecast = 9.9956 Date_of_death = Dec2001 Forecast = 9.9956 Date_of_death = Nov2001 Forecast = 2.9959 Date_of_death = Nov2001 Forecast = 2.9959 Date_of_death = Oct2001 Forecast = 1.9962 Date_of_death = Oct2001 Forecast = 1.9962 Date_of_death = Sep2001 Forecast = 8.0184 Date_of_death = Sep2001 Forecast = 8.0184 Date_of_death = Aug2001 Forecast = 3.0242 Date_of_death = Aug2001 Forecast = 3.0242 Date_of_death = Jul2001 Forecast = 3.0304 Date_of_death = Jul2001 Forecast = 3.0304 Date_of_death = Jun2001 Forecast = 2.0040 Date_of_death = Jun2001 Forecast = 2.0040 Date_of_death = May2001 Forecast = 1.9970 Date_of_death = May2001 Forecast = 1.9970 Date_of_death = Apr2001 Forecast = 4.0003 Date_of_death = Apr2001 Forecast = 4.0003 Date_of_death = Mar2001 Forecast = 0.9966 Date_of_death = Mar2001 Forecast = 0.9966 Date_of_death = Feb2001 Forecast = 6.0000 Date_of_death = Feb2001 Forecast = 6.0000 Date_of_death = Jan2001 Forecast = 1.0000 Date_of_death = Oct2019 incidents = 1.0000 Date_of_death = Sep2019 incidents = 4.0000 Date_of_death = Aug2019 incidents = 3.0000 Date_of_death = Jul2019 incidents = 1.0000 Date_of_death = Jun2019 incidents = 2.0000 Date_of_death = May2019 incidents = 6.0000 Date_of_death = Apr2019 incidents = 4.0000 Date_of_death = Mar2019 incidents = 2.0000 Date_of_death = Feb2019 incidents = 1.0000 Date_of_death = Jan2019 incidents = 2.0000 Date_of_death = Dec2018 incidents = 3.0000 Date_of_death = Nov2018 incidents = 1.0000 Date_of_death = Oct2018 incidents = 1.0000 Date_of_death = Sep2018 incidents = 2.0000 Date_of_death = Aug2018 incidents = 4.0000 Date_of_death = Jul2018 incidents = 6.0000 Date_of_death = Jun2018 incidents = 6.0000 Date_of_death = May2018 incidents = 2.0000 Date_of_death = Apr2018 incidents = 3.0000 Date_of_death = Mar2018 incidents = 3.0000 Date_of_death = Feb2018 incidents = 4.0000 Date_of_death = Jan2018 incidents = 4.0000 Date_of_death = Dec2017 incidents = 4.0000 Date_of_death = Nov2017 incidents = 4.0000 Date_of_death = Oct2017 incidents = 3.0000 Date_of_death = Sep2017 incidents = 3.0000 Date_of_death = Aug2017 incidents = 6.0000 Date_of_death = Jul2017 incidents = 4.0000 Date_of_death = Jun2017 incidents = 7.0000 Date_of_death = May2017 incidents = 4.0000 Date_of_death = Apr2017 incidents = 2.0000 Date_of_death = Mar2017 incidents = 4.0000 Date_of_death = Feb2017 incidents = 3.0000 Date_of_death = Jan2017 incidents = 7.0000 Date_of_death = Dec2016 incidents = 5.0000 Date_of_death = Nov2016 incidents = 4.0000 Date_of_death = Oct2016 incidents = 3.0000 Date_of_death = Sep2016 incidents = 3.0000 Date_of_death = Aug2016 incidents = 5.0000 Date_of_death = Jul2016 incidents = 4.0000 Date_of_death = Jun2016 incidents = 4.0000 Date_of_death = May2016 incidents = 2.0000 Date_of_death = Apr2016 incidents = 2.0000 Date_of_death = Mar2016 incidents = 5.0000 Date_of_death = Feb2016 incidents = 6.0000 Date_of_death = Jan2016 incidents = 5.0000 Date_of_death = Dec2015 incidents = 6.0000 Date_of_death = Nov2015 incidents = 2.0000 Date_of_death = Oct2015 incidents = 3.0000 Date_of_death = Sep2015 incidents = 5.0000 Date_of_death = Aug2015 incidents = 3.0000 Date_of_death = Jul2015 incidents = 7.0000 Date_of_death = Jun2015 incidents = 1.0000 Date_of_death = May2015 incidents = 3.0000 Date_of_death = Apr2015 incidents = 4.0000 Date_of_death = Mar2015 incidents = 7.0000 Date_of_death = Feb2015 incidents = 10.0000 Date_of_death = Jan2015 incidents = 2.0000 Date_of_death = Dec2014 incidents = 3.0000 Date_of_death = Nov2014 incidents = 7.0000 Date_of_death = Oct2014 incidents = 2.0000 Date_of_death = Sep2014 incidents = 1.0000 Date_of_death = Aug2014 incidents = 7.0000 Date_of_death = Jul2014 incidents = 1.0000 Date_of_death = Jun2014 incidents = 3.0000 Date_of_death = May2014 incidents = 3.0000 Date_of_death = Apr2014 incidents = 7.0000 Date_of_death = Mar2014 incidents = 3.0000 Date_of_death = Feb2014 incidents = 1.0000 Date_of_death = Jan2014 incidents = 2.0000 Date_of_death = Dec2013 incidents = 2.0000 Date_of_death = Nov2013 incidents = 10.0000 Date_of_death = Oct2013 incidents = 3.0000 Date_of_death = Sep2013 incidents = 5.0000 Date_of_death = Aug2013 incidents = 5.0000 Date_of_death = Jul2013 incidents = 4.0000 Date_of_death = Jun2013 incidents = 6.0000 Date_of_death = May2013 incidents = 8.0000 Date_of_death = Apr2013 incidents = 5.0000 Date_of_death = Mar2013 incidents = 4.0000 Date_of_death = Feb2013 incidents = 4.0000 Date_of_death = Jan2013 incidents = 10.0000 Date_of_death = Dec2012 incidents = 4.0000 Date_of_death = Nov2012 incidents = 3.0000 Date_of_death = Oct2012 incidents = 3.0000 Date_of_death = Sep2012 incidents = 3.0000 Date_of_death = Aug2012 incidents = 5.0000 Date_of_death = Jul2012 incidents = 10.0000 Date_of_death = Jun2012 incidents = 5.0000 Date_of_death = May2012 incidents = 2.0000 Date_of_death = Apr2012 incidents = 1.0000 Date_of_death = Mar2012 incidents = 6.0000 Date_of_death = Feb2012 incidents = 4.0000 Date_of_death = Jan2012 incidents = 6.0000 Date_of_death = Dec2011 incidents = 5.0000 Date_of_death = Nov2011 incidents = 2.0000 Date_of_death = Oct2011 incidents = 7.0000 Date_of_death = Sep2011 incidents = 6.0000 Date_of_death = Aug2011 incidents = 1.0000 Date_of_death = Jul2011 incidents = 6.0000 Date_of_death = Jun2011 incidents = 3.0000 Date_of_death = May2011 incidents = 4.0000 Date_of_death = Apr2011 incidents = 5.0000 Date_of_death = Mar2011 incidents = 5.0000 Date_of_death = Feb2011 incidents = 3.0000 Date_of_death = Jan2011 incidents = 6.0000 Date_of_death = Dec2010 incidents = 4.0000 Date_of_death = Nov2010 incidents = 3.0000 Date_of_death = Oct2010 incidents = 4.0000 Date_of_death = Sep2010 incidents = 2.0000 Date_of_death = Aug2010 incidents = 1.0000 Date_of_death = Jul2010 incidents = 3.0000 Date_of_death = Jun2010 incidents = 5.0000 Date_of_death = May2010 incidents = 5.0000 Date_of_death = Apr2010 incidents = 2.0000 Date_of_death = Mar2010 incidents = 5.0000 Date_of_death = Feb2010 incidents = 4.0000 Date_of_death = Jan2010 incidents = 10.0000 Date_of_death = Dec2009 incidents = 1.0000 Date_of_death = Nov2009 incidents = 3.0000 Date_of_death = Oct2009 incidents = 2.0000 Date_of_death = Sep2009 incidents = 6.0000 Date_of_death = Aug2009 incidents = 6.0000 Date_of_death = Jul2009 incidents = 4.0000 Date_of_death = Jun2009 incidents = 1.0000 Date_of_death = May2009 incidents = 4.0000 Date_of_death = Apr2009 incidents = 4.0000 Date_of_death = Mar2009 incidents = 4.0000 Date_of_death = Feb2009 incidents = 4.0000 Date_of_death = Jan2009 incidents = 2.0000 Date_of_death = Dec2008 incidents = 2.0000 Date_of_death = Nov2008 incidents = 4.0000 Date_of_death = Oct2008 incidents = 4.0000 Date_of_death = Sep2008 incidents = 10.0000 Date_of_death = Aug2008 incidents = 4.0000 Date_of_death = Jul2008 incidents = 4.0000 Date_of_death = Jun2008 incidents = 3.0000 Date_of_death = May2008 incidents = 5.0000 Date_of_death = Apr2008 incidents = 4.0000 Date_of_death = Mar2008 incidents = 7.0000 Date_of_death = Feb2008 incidents = 7.0000 Date_of_death = Jan2008 incidents = 2.0000 Date_of_death = Dec2007 incidents = 1.0000 Date_of_death = Nov2007 incidents = 2.0000 Date_of_death = Oct2007 incidents = 1.0000 Date_of_death = Sep2007 incidents = 2.0000 Date_of_death = Aug2007 incidents = 4.0000 Date_of_death = Jul2007 incidents = 6.0000 Date_of_death = Jun2007 incidents = 2.0000 Date_of_death = May2007 incidents = 7.0000 Date_of_death = Apr2007 incidents = 6.0000 Date_of_death = Mar2007 incidents = 2.0000 Date_of_death = Feb2007 incidents = 3.0000 Date_of_death = Jan2007 incidents = 3.0000 Date_of_death = Dec2006 incidents = 4.0000 Date_of_death = Nov2006 incidents = 1.0000 Date_of_death = Oct2006 incidents = 6.0000 Date_of_death = Sep2006 incidents = 4.0000 Date_of_death = Aug2006 incidents = 3.0000 Date_of_death = Jul2006 incidents = 2.0000 Date_of_death = Jun2006 incidents = 7.0000 Date_of_death = May2006 incidents = 3.0000 Date_of_death = Apr2006 incidents = 2.0000 Date_of_death = Mar2006 incidents = 1.0000 Date_of_death = Feb2006 incidents = 7.0000 Date_of_death = Jan2006 incidents = 1.0000 Date_of_death = Dec2005 incidents = 2.0000 Date_of_death = Nov2005 incidents = 1.0000 Date_of_death = Oct2005 incidents = 2.0000 Date_of_death = Sep2005 incidents = 5.0000 Date_of_death = Aug2005 incidents = 3.0000 Date_of_death = Jul2005 incidents = 7.0000 Date_of_death = Jun2005 incidents = 3.0000 Date_of_death = May2005 incidents = 4.0000 Date_of_death = Apr2005 incidents = 1.0000 Date_of_death = Mar2005 incidents = 3.0000 Date_of_death = Feb2005 incidents = 2.0000 Date_of_death = Jan2005 incidents = 5.0000 Date_of_death = Dec2004 incidents = 4.0000 Date_of_death = Nov2004 incidents = 3.0000 Date_of_death = Oct2004 incidents = 2.0000 Date_of_death = Sep2004 incidents = 2.0000 Date_of_death = Aug2004 incidents = 3.0000 Date_of_death = Jul2004 incidents = 7.0000 Date_of_death = Jun2004 incidents = 3.0000 Date_of_death = May2004 incidents = 3.0000 Date_of_death = Apr2004 incidents = 3.0000 Date_of_death = Mar2004 incidents = 2.0000 Date_of_death = Feb2004 incidents = 4.0000 Date_of_death = Jan2004 incidents = 7.0000 Date_of_death = Dec2003 incidents = 1.0000 Date_of_death = Nov2003 incidents = 4.0000 Date_of_death = Oct2003 incidents = 3.0000 Date_of_death = Sep2003 incidents = 4.0000 Date_of_death = Aug2003 incidents = 5.0000 Date_of_death = Jul2003 incidents = 5.0000 Date_of_death = Jun2003 incidents = 2.0000 Date_of_death = May2003 incidents = 3.0000 Date_of_death = Apr2003 incidents = 7.0000 Date_of_death = Mar2003 incidents = 3.0000 Date_of_death = Feb2003 incidents = 4.0000 Date_of_death = Jan2003 incidents = 8.0000 Date_of_death = Dec2002 incidents = 5.0000 Date_of_death = Nov2002 incidents = 7.0000 Date_of_death = Oct2002 incidents = 2.0000 Date_of_death = Sep2002 incidents = 3.0000 Date_of_death = Aug2002 incidents = 2.0000 Date_of_death = Jul2002 incidents = 2.0000 Date_of_death = Jun2002 incidents = 3.0000 Date_of_death = May2002 incidents = 3.0000 Date_of_death = Apr2002 incidents = 4.0000 Date_of_death = Mar2002 incidents = 1.0000 Date_of_death = Feb2002 incidents = 3.0000 Date_of_death = Jan2002 incidents = 5.0000 Date_of_death = Dec2001 incidents = 2.0000 Date_of_death = Nov2001 incidents = 3.0000 Date_of_death = Oct2001 incidents = 2.0000 Date_of_death = Sep2001 incidents = 2.0000 Date_of_death = Aug2001 incidents = 2.0000 Date_of_death = Jul2001 incidents = 2.0000 Date_of_death = Jun2001 incidents = 10.0000 Date_of_death = May2001 incidents = 4.0000 Date_of_death = Apr2001 incidents = 3.0000 Date_of_death = Mar2001 incidents = 2.0000 Date_of_death = Feb2001 incidents = 5.0000 Date_of_death = Jan2001 incidents = 1.0000 Date_of_death = Oct2020 Upper 95% = 6.8782 Lower 95% = -1.6314 Date_of_death = Sep2020 Upper 95% = 8.0778 Lower 95% = -0.4303 Date_of_death = Sep2020 Upper 95% = 8.0778 Lower 95% = -0.4303 Date_of_death = Aug2020 Upper 95% = 7.8274 Lower 95% = -0.6791 Date_of_death = Aug2020 Upper 95% = 7.8274 Lower 95% = -0.6791 Date_of_death = Jul2020 Upper 95% = 8.4769 Lower 95% = -0.0280 Date_of_death = Jul2020 Upper 95% = 8.4769 Lower 95% = -0.0280 Date_of_death = Jun2020 Upper 95% = 7.9764 Lower 95% = -0.5269 Date_of_death = Jun2020 Upper 95% = 7.9764 Lower 95% = -0.5269 Date_of_death = May2020 Upper 95% = 7.9260 Lower 95% = -0.5758 Date_of_death = May2020 Upper 95% = 7.9260 Lower 95% = -0.5758 Date_of_death = Apr2020 Upper 95% = 7.7255 Lower 95% = -0.7746 Date_of_death = Apr2020 Upper 95% = 7.7255 Lower 95% = -0.7746 Date_of_death = Mar2020 Upper 95% = 7.5750 Lower 95% = -0.9235 Date_of_death = Mar2020 Upper 95% = 7.5750 Lower 95% = -0.9235 Date_of_death = Feb2020 Upper 95% = 8.3245 Lower 95% = -0.1723 Date_of_death = Feb2020 Upper 95% = 8.3245 Lower 95% = -0.1723 Date_of_death = Jan2020 Upper 95% = 8.5240 Lower 95% = 0.0288 Date_of_death = Jan2020 Upper 95% = 8.5240 Lower 95% = 0.0288 Date_of_death = Dec2019 Upper 95% = 7.6436 Lower 95% = -0.8588 Date_of_death = Dec2019 Upper 95% = 7.6436 Lower 95% = -0.8588 Date_of_death = Nov2019 Upper 95% = 7.5905 Lower 95% = -0.9102
Forecast Plot

County=Maricopa

Series Span Summary

Estimation Span

County=Maricopa

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 6.00000 3.21097 1.99730

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 6.00000 3.21097 1.99730

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 3.17790
Level Error Variance 1.19171
Season Error Variance 4.31048

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -493.3
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 992.51
BIC (smaller is better) 1002.8
AICC (smaller is better) 992.62
HQIC (smaller is better) 996.65
CAIC (smaller is better) 1005.8
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 3.91751 0.36935 10.61 <.0001
Level Error Variance 9.00954E-12 1.19382E-7 0.00 0.9999
Season Error Variance 4.104797E-8 0.00002473 0.00 0.9987

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 4.84952
Root Mean Squared Error 2.20216
Mean Absolute Percentage Error 96.29301
Maximum Percent Error 83.33333
R-Square -0.25483
Adjusted R-Square -0.26613
Random Walk R-Square 0.31112
Amemiya's Adjusted R-Square -0.28874

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 2.50 0.1137
Level 1 624.04 <.0001
Season 11 15.32 0.1684

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.212499999 0.1285991

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 4.104797E-8

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 7.5781 Percent = 0.0126 Prediction Error = 7.5 Percent = 0.0156 Prediction Error = 7.5 Percent = 0.0156 Prediction Error = 7.4219 Percent = 0.0193 Prediction Error = 7.4219 Percent = 0.0193 Prediction Error = 7.3437 Percent = 0.0238 Prediction Error = 7.3437 Percent = 0.0238 Prediction Error = 7.2656 Percent = 0.0291 Prediction Error = 7.2656 Percent = 0.0291 Prediction Error = 7.1875 Percent = 0.0356 Prediction Error = 7.1875 Percent = 0.0356 Prediction Error = 7.1094 Percent = 0.0432 Prediction Error = 7.1094 Percent = 0.0432 Prediction Error = 7.0312 Percent = 0.0523 Prediction Error = 7.0312 Percent = 0.0523 Prediction Error = 6.9531 Percent = 0.063 Prediction Error = 6.9531 Percent = 0.063 Prediction Error = 6.875 Percent = 0.0756 Prediction Error = 6.875 Percent = 0.0756 Prediction Error = 6.7969 Percent = 0.0904 Prediction Error = 6.7969 Percent = 0.0904 Prediction Error = 6.7187 Percent = 0.1078 Prediction Error = 6.7187 Percent = 0.1078 Prediction Error = 6.6406 Percent = 0.1279 Prediction Error = 6.6406 Percent = 0.1279 Prediction Error = 6.5625 Percent = 0.1513 Prediction Error = 6.5625 Percent = 0.1513 Prediction Error = 6.4844 Percent = 0.1783 Prediction Error = 6.4844 Percent = 0.1783 Prediction Error = 6.4062 Percent = 0.2094 Prediction Error = 6.4062 Percent = 0.2094 Prediction Error = 6.3281 Percent = 0.245 Prediction Error = 6.3281 Percent = 0.245 Prediction Error = 6.25 Percent = 0.2857 Prediction Error = 6.25 Percent = 0.2857 Prediction Error = 6.1719 Percent = 0.3321 Prediction Error = 6.1719 Percent = 0.3321 Prediction Error = 6.0937 Percent = 0.3847 Prediction Error = 6.0937 Percent = 0.3847 Prediction Error = 6.0156 Percent = 0.4442 Prediction Error = 6.0156 Percent = 0.4442 Prediction Error = 5.9375 Percent = 0.5111 Prediction Error = 5.9375 Percent = 0.5111 Prediction Error = 5.8594 Percent = 0.5863 Prediction Error = 5.8594 Percent = 0.5863 Prediction Error = 5.7812 Percent = 0.6704 Prediction Error = 5.7812 Percent = 0.6704 Prediction Error = 5.7031 Percent = 0.7641 Prediction Error = 5.7031 Percent = 0.7641 Prediction Error = 5.625 Percent = 0.8681 Prediction Error = 5.625 Percent = 0.8681 Prediction Error = 5.5469 Percent = 0.9831 Prediction Error = 5.5469 Percent = 0.9831 Prediction Error = 5.4687 Percent = 1.1099 Prediction Error = 5.4687 Percent = 1.1099 Prediction Error = 5.3906 Percent = 1.249 Prediction Error = 5.3906 Percent = 1.249 Prediction Error = 5.3125 Percent = 1.4013 Prediction Error = 5.3125 Percent = 1.4013 Prediction Error = 5.2344 Percent = 1.5671 Prediction Error = 5.2344 Percent = 1.5671 Prediction Error = 5.1562 Percent = 1.7471 Prediction Error = 5.1562 Percent = 1.7471 Prediction Error = 5.0781 Percent = 1.9418 Prediction Error = 5.0781 Percent = 1.9418 Prediction Error = 5 Percent = 2.1514 Prediction Error = 5 Percent = 2.1514 Prediction Error = 4.9219 Percent = 2.3762 Prediction Error = 4.9219 Percent = 2.3762 Prediction Error = 4.8437 Percent = 2.6165 Prediction Error = 4.8437 Percent = 2.6165 Prediction Error = 4.7656 Percent = 2.8721 Prediction Error = 4.7656 Percent = 2.8721 Prediction Error = 4.6875 Percent = 3.1431 Prediction Error = 4.6875 Percent = 3.1431 Prediction Error = 4.6094 Percent = 3.4292 Prediction Error = 4.6094 Percent = 3.4292 Prediction Error = 4.5312 Percent = 3.73 Prediction Error = 4.5312 Percent = 3.73 Prediction Error = 4.4531 Percent = 4.0449 Prediction Error = 4.4531 Percent = 4.0449 Prediction Error = 4.375 Percent = 4.3732 Prediction Error = 4.375 Percent = 4.3732 Prediction Error = 4.2969 Percent = 4.7142 Prediction Error = 4.2969 Percent = 4.7142 Prediction Error = 4.2187 Percent = 5.0667 Prediction Error = 4.2187 Percent = 5.0667 Prediction Error = 3.5156 Percent = 8.5301 Prediction Error = 3.5156 Percent = 8.5301 Prediction Error = 3.3594 Percent = 9.2944 Prediction Error = 3.3594 Percent = 9.2944 Prediction Error = 3.2031 Percent = 10.024 Prediction Error = 3.2031 Percent = 10.024 Prediction Error = 3.125 Percent = 10.371 Prediction Error = 3.125 Percent = 10.371 Prediction Error = 3.0469 Percent = 10.703 Prediction Error = 3.0469 Percent = 10.703 Prediction Error = 2.9687 Percent = 11.02 Prediction Error = 2.9687 Percent = 11.02 Prediction Error = 2.8906 Percent = 11.32 Prediction Error = 2.8906 Percent = 11.32 Prediction Error = 2.8125 Percent = 11.601 Prediction Error = 2.8125 Percent = 11.601 Prediction Error = 2.7344 Percent = 11.863 Prediction Error = 2.7344 Percent = 11.863 Prediction Error = 2.6562 Percent = 12.105 Prediction Error = 2.6562 Percent = 12.105 Prediction Error = 2.5781 Percent = 12.327 Prediction Error = 2.5781 Percent = 12.327 Prediction Error = 2.5 Percent = 12.527 Prediction Error = 2.5 Percent = 12.527 Prediction Error = 2.4219 Percent = 12.707 Prediction Error = 2.4219 Percent = 12.707 Prediction Error = 2.3437 Percent = 12.866 Prediction Error = 2.3437 Percent = 12.866 Prediction Error = 2.2656 Percent = 13.005 Prediction Error = 2.2656 Percent = 13.005 Prediction Error = 2.1875 Percent = 13.126 Prediction Error = 2.1875 Percent = 13.126 Prediction Error = 2.1094 Percent = 13.229 Prediction Error = 2.1094 Percent = 13.229 Prediction Error = 2.0312 Percent = 13.315 Prediction Error = 2.0312 Percent = 13.315 Prediction Error = 1.9531 Percent = 13.388 Prediction Error = 1.9531 Percent = 13.388 Prediction Error = 1.875 Percent = 13.447 Prediction Error = 1.875 Percent = 13.447 Prediction Error = 1.7969 Percent = 13.497 Prediction Error = 1.7969 Percent = 13.497 Prediction Error = 1.7187 Percent = 13.538 Prediction Error = 1.7187 Percent = 13.538 Prediction Error = 1.6406 Percent = 13.572 Prediction Error = 1.6406 Percent = 13.572 Prediction Error = 1.4062 Percent = 13.664 Prediction Error = 1.4062 Percent = 13.664 Prediction Error = 1.3281 Percent = 13.698 Prediction Error = 1.3281 Percent = 13.698 Prediction Error = 1.25 Percent = 13.736 Prediction Error = 1.25 Percent = 13.736 Prediction Error = 1.1719 Percent = 13.782 Prediction Error = 1.1719 Percent = 13.782 Prediction Error = 1.0937 Percent = 13.836 Prediction Error = 1.0937 Percent = 13.836 Prediction Error = 1.0156 Percent = 13.9 Prediction Error = 1.0156 Percent = 13.9 Prediction Error = 0.9375 Percent = 13.975 Prediction Error = 0.9375 Percent = 13.975 Prediction Error = 0.8594 Percent = 14.062 Prediction Error = 0.8594 Percent = 14.062 Prediction Error = 0.7812 Percent = 14.162 Prediction Error = 0.7812 Percent = 14.162 Prediction Error = 0.7031 Percent = 14.276 Prediction Error = 0.7031 Percent = 14.276 Prediction Error = 0.625 Percent = 14.403 Prediction Error = 0.625 Percent = 14.403 Prediction Error = 0.5469 Percent = 14.544 Prediction Error = 0.5469 Percent = 14.544 Prediction Error = 0.4687 Percent = 14.698 Prediction Error = 0.4687 Percent = 14.698 Prediction Error = 0.3906 Percent = 14.866 Prediction Error = 0.3906 Percent = 14.866 Prediction Error = 0.3125 Percent = 15.046 Prediction Error = 0.3125 Percent = 15.046 Prediction Error = 0.2344 Percent = 15.239 Prediction Error = 0.2344 Percent = 15.239 Prediction Error = 0.1562 Percent = 15.442 Prediction Error = 0.1562 Percent = 15.442 Prediction Error = 0.0781 Percent = 15.656 Prediction Error = 0.0781 Percent = 15.656 Prediction Error = -13E-9 Percent = 15.879 Prediction Error = -13E-9 Percent = 15.879 Prediction Error = -0.078 Percent = 16.11 Prediction Error = -0.078 Percent = 16.11 Prediction Error = -0.469 Percent = 17.331 Prediction Error = -0.469 Percent = 17.331 Prediction Error = -0.625 Percent = 17.817 Prediction Error = -0.625 Percent = 17.817 Prediction Error = -0.703 Percent = 18.05 Prediction Error = -0.703 Percent = 18.05 Prediction Error = -0.781 Percent = 18.273 Prediction Error = -0.781 Percent = 18.273 Prediction Error = -0.859 Percent = 18.483 Prediction Error = -0.859 Percent = 18.483 Prediction Error = -0.938 Percent = 18.678 Prediction Error = -0.938 Percent = 18.678 Prediction Error = -1.016 Percent = 18.854 Prediction Error = -1.016 Percent = 18.854 Prediction Error = -1.094 Percent = 19.008 Prediction Error = -1.094 Percent = 19.008 Prediction Error = -1.172 Percent = 19.137 Prediction Error = -1.172 Percent = 19.137 Prediction Error = -1.25 Percent = 19.238 Prediction Error = -1.25 Percent = 19.238 Prediction Error = -1.328 Percent = 19.308 Prediction Error = -1.328 Percent = 19.308 Prediction Error = -1.406 Percent = 19.343 Prediction Error = -1.406 Percent = 19.343 Prediction Error = -1.484 Percent = 19.343 Prediction Error = -1.484 Percent = 19.343 Prediction Error = -1.563 Percent = 19.303 Prediction Error = -1.563 Percent = 19.303 Prediction Error = -1.641 Percent = 19.222 Prediction Error = -1.641 Percent = 19.222 Prediction Error = -1.719 Percent = 19.099 Prediction Error = -1.719 Percent = 19.099 Prediction Error = -1.797 Percent = 18.932 Prediction Error = -1.797 Percent = 18.932 Prediction Error = -1.875 Percent = 18.72 Prediction Error = -1.875 Percent = 18.72 Prediction Error = -1.953 Percent = 18.464 Prediction Error = -1.953 Percent = 18.464 Prediction Error = -2.031 Percent = 18.165 Prediction Error = -2.031 Percent = 18.165 Prediction Error = -2.109 Percent = 17.823 Prediction Error = -2.109 Percent = 17.823 Prediction Error = -2.188 Percent = 17.439 Prediction Error = -2.188 Percent = 17.439 Prediction Error = -2.266 Percent = 17.017 Prediction Error = -2.266 Percent = 17.017 Prediction Error = -2.344 Percent = 16.558 Prediction Error = -2.344 Percent = 16.558 Prediction Error = -2.422 Percent = 16.067 Prediction Error = -2.422 Percent = 16.067 Prediction Error = -2.5 Percent = 15.546 Prediction Error = -2.5 Percent = 15.546 Prediction Error = -2.578 Percent = 15 Prediction Error = -2.578 Percent = 15 Prediction Error = -2.734 Percent = 13.847 Prediction Error = -2.734 Percent = 13.847 Prediction Error = -2.969 Percent = 12.038 Prediction Error = -2.969 Percent = 12.038 Prediction Error = -3.203 Percent = 10.234 Prediction Error = -3.203 Percent = 10.234 Prediction Error = -3.359 Percent = 9.0861 Prediction Error = -3.359 Percent = 9.0861 Prediction Error = -3.438 Percent = 8.5376 Prediction Error = -3.438 Percent = 8.5376 Prediction Error = -3.516 Percent = 8.0092 Prediction Error = -3.516 Percent = 8.0092 Prediction Error = -3.594 Percent = 7.5026 Prediction Error = -3.594 Percent = 7.5026 Prediction Error = -3.672 Percent = 7.0194 Prediction Error = -3.672 Percent = 7.0194 Prediction Error = -3.75 Percent = 6.5604 Prediction Error = -3.75 Percent = 6.5604 Prediction Error = -3.828 Percent = 6.1261 Prediction Error = -3.828 Percent = 6.1261 Prediction Error = -3.906 Percent = 5.7168 Prediction Error = -3.906 Percent = 5.7168 Prediction Error = -3.984 Percent = 5.3323 Prediction Error = -3.984 Percent = 5.3323 Prediction Error = -4.063 Percent = 4.972 Prediction Error = -4.063 Percent = 4.972 Prediction Error = -4.141 Percent = 4.6352 Prediction Error = -4.141 Percent = 4.6352 Prediction Error = -4.219 Percent = 4.3211 Prediction Error = -4.219 Percent = 4.3211 Prediction Error = -4.297 Percent = 4.0285 Prediction Error = -4.297 Percent = 4.0285 Prediction Error = -4.375 Percent = 3.7561 Prediction Error = -4.375 Percent = 3.7561 Prediction Error = -4.453 Percent = 3.5026 Prediction Error = -4.453 Percent = 3.5026 Prediction Error = -4.531 Percent = 3.2666 Prediction Error = -4.531 Percent = 3.2666 Prediction Error = -4.609 Percent = 3.0468 Prediction Error = -4.609 Percent = 3.0468 Prediction Error = -4.688 Percent = 2.8419 Prediction Error = -4.688 Percent = 2.8419 Prediction Error = -4.766 Percent = 2.6504 Prediction Error = -4.766 Percent = 2.6504 Prediction Error = -4.844 Percent = 2.4711 Prediction Error = -4.844 Percent = 2.4711 Prediction Error = -4.922 Percent = 2.303 Prediction Error = -4.922 Percent = 2.303 Prediction Error = -5 Percent = 2.1449 Prediction Error = -5 Percent = 2.1449 Prediction Error = -5.078 Percent = 1.996 Prediction Error = -5.078 Percent = 1.996 Prediction Error = -5.156 Percent = 1.8553 Prediction Error = -5.156 Percent = 1.8553 Prediction Error = -5.234 Percent = 1.7222 Prediction Error = -5.234 Percent = 1.7222 Prediction Error = -5.312 Percent = 1.5961 Prediction Error = -5.312 Percent = 1.5961 Prediction Error = -5.391 Percent = 1.4765 Prediction Error = -5.391 Percent = 1.4765 Prediction Error = -5.469 Percent = 1.363 Prediction Error = -5.469 Percent = 1.363 Prediction Error = -5.547 Percent = 1.2552 Prediction Error = -5.547 Percent = 1.2552 Prediction Error = -5.625 Percent = 1.1529 Prediction Error = -5.625 Percent = 1.1529 Prediction Error = -5.703 Percent = 1.056 Prediction Error = -5.703 Percent = 1.056 Prediction Error = -5.781 Percent = 0.9643 Prediction Error = -5.781 Percent = 0.9643 Prediction Error = -5.859 Percent = 0.8776 Prediction Error = -5.859 Percent = 0.8776 Prediction Error = -5.937 Percent = 0.796 Prediction Error = -5.937 Percent = 0.796 Prediction Error = -6.016 Percent = 0.7194 Prediction Error = -6.016 Percent = 0.7194 Prediction Error = -6.094 Percent = 0.6476 Prediction Error = -6.094 Percent = 0.6476 Prediction Error = -6.172 Percent = 0.5807 Prediction Error = -6.172 Percent = 0.5807 Prediction Error = -6.25 Percent = 0.5186 Prediction Error = -6.25 Percent = 0.5186 Prediction Error = -6.328 Percent = 0.4611 Prediction Error = -6.328 Percent = 0.4611 Prediction Error = -6.406 Percent = 0.4082 Prediction Error = -6.406 Percent = 0.4082 Prediction Error = -6.484 Percent = 0.3597 Prediction Error = -6.484 Percent = 0.3597 Prediction Error = -6.562 Percent = 0.3156 Prediction Error = -6.562 Percent = 0.3156 Prediction Error = -6.641 Percent = 0.2755 Prediction Error = -6.641 Percent = 0.2755 Prediction Error = -6.719 Percent = 0.2394 Prediction Error = -6.719 Percent = 0.2394 Prediction Error = -6.797 Percent = 0.207 Prediction Error = -6.797 Percent = 0.207 Prediction Error = -6.875 Percent = 0.1781 Prediction Error = -6.875 Percent = 0.1781 Prediction Error = -6.953 Percent = 0.1525 Prediction Error = -6.953 Percent = 0.1525 Prediction Error = -7.031 Percent = 0.1299 Prediction Error = -7.031 Percent = 0.1299 Prediction Error = -7.109 Percent = 0.11 Prediction Error = -7.109 Percent = 0.11 Prediction Error = -7.187 Percent = 0.0927 Prediction Error = -7.187 Percent = 0.0927 Prediction Error = -7.266 Percent = 0.0778 Prediction Error = -7.266 Percent = 0.0778 Prediction Error = -7.344 Percent = 0.0648 Prediction Error = -7.344 Percent = 0.0648 Prediction Error = -7.422 Percent = 0.0538 Prediction Error = -7.422 Percent = 0.0538 Prediction Error = -7.5 Percent = 0.0444 Prediction Error = -7.5 Percent = 0.0444 Prediction Error = -7.578 Percent = 0.0364 Prediction Error = 6.472 Percent = 0.2414 Prediction Error = 6.4053 Percent = 0.2643 Prediction Error = 6.4053 Percent = 0.2643 Prediction Error = 6.3385 Percent = 0.289 Prediction Error = 6.3385 Percent = 0.289 Prediction Error = 6.2718 Percent = 0.3158 Prediction Error = 6.2718 Percent = 0.3158 Prediction Error = 6.205 Percent = 0.3448 Prediction Error = 6.205 Percent = 0.3448 Prediction Error = 6.1383 Percent = 0.376 Prediction Error = 6.1383 Percent = 0.376 Prediction Error = 6.0715 Percent = 0.4097 Prediction Error = 6.0715 Percent = 0.4097 Prediction Error = 6.0048 Percent = 0.4461 Prediction Error = 6.0048 Percent = 0.4461 Prediction Error = 5.938 Percent = 0.4851 Prediction Error = 5.938 Percent = 0.4851 Prediction Error = 5.8713 Percent = 0.5272 Prediction Error = 5.8713 Percent = 0.5272 Prediction Error = 5.8045 Percent = 0.5723 Prediction Error = 5.8045 Percent = 0.5723 Prediction Error = 5.7378 Percent = 0.6208 Prediction Error = 5.7378 Percent = 0.6208 Prediction Error = 5.671 Percent = 0.6727 Prediction Error = 5.671 Percent = 0.6727 Prediction Error = 5.6042 Percent = 0.7284 Prediction Error = 5.6042 Percent = 0.7284 Prediction Error = 5.5375 Percent = 0.7878 Prediction Error = 5.5375 Percent = 0.7878 Prediction Error = 5.4707 Percent = 0.8514 Prediction Error = 5.4707 Percent = 0.8514 Prediction Error = 5.404 Percent = 0.9193 Prediction Error = 5.404 Percent = 0.9193 Prediction Error = 5.3372 Percent = 0.9916 Prediction Error = 5.3372 Percent = 0.9916 Prediction Error = 5.2705 Percent = 1.0687 Prediction Error = 5.2705 Percent = 1.0687 Prediction Error = 5.2037 Percent = 1.1507 Prediction Error = 5.2037 Percent = 1.1507 Prediction Error = 5.137 Percent = 1.2378 Prediction Error = 5.137 Percent = 1.2378 Prediction Error = 5.0702 Percent = 1.3303 Prediction Error = 5.0702 Percent = 1.3303 Prediction Error = 5.0035 Percent = 1.4284 Prediction Error = 5.0035 Percent = 1.4284 Prediction Error = 4.9367 Percent = 1.5324 Prediction Error = 4.9367 Percent = 1.5324 Prediction Error = 4.87 Percent = 1.6424 Prediction Error = 4.87 Percent = 1.6424 Prediction Error = 4.8032 Percent = 1.7587 Prediction Error = 4.8032 Percent = 1.7587 Prediction Error = 4.7365 Percent = 1.8815 Prediction Error = 4.7365 Percent = 1.8815 Prediction Error = 4.6697 Percent = 2.011 Prediction Error = 4.6697 Percent = 2.011 Prediction Error = 4.603 Percent = 2.1475 Prediction Error = 4.603 Percent = 2.1475 Prediction Error = 4.5362 Percent = 2.2911 Prediction Error = 4.5362 Percent = 2.2911 Prediction Error = 4.4695 Percent = 2.4421 Prediction Error = 4.4695 Percent = 2.4421 Prediction Error = 4.4027 Percent = 2.6006 Prediction Error = 4.4027 Percent = 2.6006 Prediction Error = 4.336 Percent = 2.7669 Prediction Error = 4.336 Percent = 2.7669 Prediction Error = 4.2692 Percent = 2.9412 Prediction Error = 4.2692 Percent = 2.9412 Prediction Error = 4.2024 Percent = 3.1235 Prediction Error = 4.2024 Percent = 3.1235 Prediction Error = 4.1357 Percent = 3.3141 Prediction Error = 4.1357 Percent = 3.3141 Prediction Error = 4.0689 Percent = 3.5131 Prediction Error = 4.0689 Percent = 3.5131 Prediction Error = 4.0022 Percent = 3.7206 Prediction Error = 4.0022 Percent = 3.7206 Prediction Error = 3.9354 Percent = 3.9368 Prediction Error = 3.9354 Percent = 3.9368 Prediction Error = 3.8687 Percent = 4.1617 Prediction Error = 3.8687 Percent = 4.1617 Prediction Error = 3.8019 Percent = 4.3954 Prediction Error = 3.8019 Percent = 4.3954 Prediction Error = 3.7352 Percent = 4.638 Prediction Error = 3.7352 Percent = 4.638 Prediction Error = 3.6684 Percent = 4.8894 Prediction Error = 3.6684 Percent = 4.8894 Prediction Error = 3.6017 Percent = 5.1498 Prediction Error = 3.6017 Percent = 5.1498 Prediction Error = 3.5349 Percent = 5.4191 Prediction Error = 3.5349 Percent = 5.4191 Prediction Error = 3.4682 Percent = 5.6972 Prediction Error = 3.4682 Percent = 5.6972 Prediction Error = 3.3347 Percent = 6.2796 Prediction Error = 3.3347 Percent = 6.2796 Prediction Error = 3.2012 Percent = 6.8962 Prediction Error = 3.2012 Percent = 6.8962 Prediction Error = 3.0677 Percent = 7.5456 Prediction Error = 3.0677 Percent = 7.5456 Prediction Error = 2.9342 Percent = 8.2258 Prediction Error = 2.9342 Percent = 8.2258 Prediction Error = 2.8006 Percent = 8.9345 Prediction Error = 2.8006 Percent = 8.9345 Prediction Error = 1.7994 Percent = 14.771 Prediction Error = 1.7994 Percent = 14.771 Prediction Error = 1.5991 Percent = 15.934 Prediction Error = 1.5991 Percent = 15.934 Prediction Error = 1.4656 Percent = 16.682 Prediction Error = 1.4656 Percent = 16.682 Prediction Error = 1.3321 Percent = 17.402 Prediction Error = 1.3321 Percent = 17.402 Prediction Error = 1.1986 Percent = 18.086 Prediction Error = 1.1986 Percent = 18.086 Prediction Error = 1.1318 Percent = 18.413 Prediction Error = 1.1318 Percent = 18.413 Prediction Error = 1.0651 Percent = 18.729 Prediction Error = 1.0651 Percent = 18.729 Prediction Error = 0.9983 Percent = 19.032 Prediction Error = 0.9983 Percent = 19.032 Prediction Error = 0.9316 Percent = 19.323 Prediction Error = 0.9316 Percent = 19.323 Prediction Error = 0.8648 Percent = 19.6 Prediction Error = 0.8648 Percent = 19.6 Prediction Error = 0.7981 Percent = 19.862 Prediction Error = 0.7981 Percent = 19.862 Prediction Error = 0.7313 Percent = 20.11 Prediction Error = 0.7313 Percent = 20.11 Prediction Error = 0.6646 Percent = 20.342 Prediction Error = 0.6646 Percent = 20.342 Prediction Error = 0.5978 Percent = 20.558 Prediction Error = 0.5978 Percent = 20.558 Prediction Error = 0.5311 Percent = 20.757 Prediction Error = 0.5311 Percent = 20.757 Prediction Error = 0.4643 Percent = 20.939 Prediction Error = 0.4643 Percent = 20.939 Prediction Error = 0.3976 Percent = 21.103 Prediction Error = 0.3976 Percent = 21.103 Prediction Error = 0.3308 Percent = 21.249 Prediction Error = 0.3308 Percent = 21.249 Prediction Error = 0.2641 Percent = 21.376 Prediction Error = 0.2641 Percent = 21.376 Prediction Error = 0.1973 Percent = 21.484 Prediction Error = 0.1973 Percent = 21.484 Prediction Error = 0.1305 Percent = 21.573 Prediction Error = 0.1305 Percent = 21.573 Prediction Error = 0.0638 Percent = 21.643 Prediction Error = 0.0638 Percent = 21.643 Prediction Error = -0.003 Percent = 21.693 Prediction Error = -0.003 Percent = 21.693 Prediction Error = -0.07 Percent = 21.723 Prediction Error = -0.07 Percent = 21.723 Prediction Error = -0.136 Percent = 21.733 Prediction Error = -0.136 Percent = 21.733 Prediction Error = -0.203 Percent = 21.723 Prediction Error = -0.203 Percent = 21.723 Prediction Error = -0.27 Percent = 21.693 Prediction Error = -0.27 Percent = 21.693 Prediction Error = -0.337 Percent = 21.643 Prediction Error = -0.337 Percent = 21.643 Prediction Error = -0.403 Percent = 21.573 Prediction Error = -0.403 Percent = 21.573 Prediction Error = -0.47 Percent = 21.484 Prediction Error = -0.47 Percent = 21.484 Prediction Error = -0.537 Percent = 21.376 Prediction Error = -0.537 Percent = 21.376 Prediction Error = -0.604 Percent = 21.249 Prediction Error = -0.604 Percent = 21.249 Prediction Error = -0.67 Percent = 21.103 Prediction Error = -0.67 Percent = 21.103 Prediction Error = -0.737 Percent = 20.939 Prediction Error = -0.737 Percent = 20.939 Prediction Error = -0.804 Percent = 20.757 Prediction Error = -0.804 Percent = 20.757 Prediction Error = -0.871 Percent = 20.558 Prediction Error = -0.871 Percent = 20.558 Prediction Error = -0.937 Percent = 20.342 Prediction Error = -0.937 Percent = 20.342 Prediction Error = -1.004 Percent = 20.11 Prediction Error = -1.004 Percent = 20.11 Prediction Error = -1.071 Percent = 19.862 Prediction Error = -1.071 Percent = 19.862 Prediction Error = -1.138 Percent = 19.6 Prediction Error = -1.138 Percent = 19.6 Prediction Error = -1.205 Percent = 19.323 Prediction Error = -1.205 Percent = 19.323 Prediction Error = -1.271 Percent = 19.032 Prediction Error = -1.271 Percent = 19.032 Prediction Error = -1.338 Percent = 18.729 Prediction Error = -1.338 Percent = 18.729 Prediction Error = -1.405 Percent = 18.413 Prediction Error = -1.405 Percent = 18.413 Prediction Error = -1.472 Percent = 18.086 Prediction Error = -1.472 Percent = 18.086 Prediction Error = -1.605 Percent = 17.402 Prediction Error = -1.605 Percent = 17.402 Prediction Error = -1.739 Percent = 16.682 Prediction Error = -1.739 Percent = 16.682 Prediction Error = -2.54 Percent = 11.986 Prediction Error = -2.54 Percent = 11.986 Prediction Error = -2.807 Percent = 10.425 Prediction Error = -2.807 Percent = 10.425 Prediction Error = -3.007 Percent = 9.2986 Prediction Error = -3.007 Percent = 9.2986 Prediction Error = -3.14 Percent = 8.5768 Prediction Error = -3.14 Percent = 8.5768 Prediction Error = -3.274 Percent = 7.882 Prediction Error = -3.274 Percent = 7.882 Prediction Error = -3.407 Percent = 7.2169 Prediction Error = -3.407 Percent = 7.2169 Prediction Error = -3.541 Percent = 6.5837 Prediction Error = -3.541 Percent = 6.5837 Prediction Error = -3.674 Percent = 5.984 Prediction Error = -3.674 Percent = 5.984 Prediction Error = -3.741 Percent = 5.6972 Prediction Error = -3.741 Percent = 5.6972 Prediction Error = -3.808 Percent = 5.4191 Prediction Error = -3.808 Percent = 5.4191 Prediction Error = -3.875 Percent = 5.1498 Prediction Error = -3.875 Percent = 5.1498 Prediction Error = -3.941 Percent = 4.8894 Prediction Error = -3.941 Percent = 4.8894 Prediction Error = -4.008 Percent = 4.638 Prediction Error = -4.008 Percent = 4.638 Prediction Error = -4.075 Percent = 4.3954 Prediction Error = -4.075 Percent = 4.3954 Prediction Error = -4.142 Percent = 4.1617 Prediction Error = -4.142 Percent = 4.1617 Prediction Error = -4.208 Percent = 3.9368 Prediction Error = -4.208 Percent = 3.9368 Prediction Error = -4.275 Percent = 3.7206 Prediction Error = -4.275 Percent = 3.7206 Prediction Error = -4.342 Percent = 3.5131 Prediction Error = -4.342 Percent = 3.5131 Prediction Error = -4.409 Percent = 3.3141 Prediction Error = -4.409 Percent = 3.3141 Prediction Error = -4.475 Percent = 3.1235 Prediction Error = -4.475 Percent = 3.1235 Prediction Error = -4.542 Percent = 2.9412 Prediction Error = -4.542 Percent = 2.9412 Prediction Error = -4.609 Percent = 2.7669 Prediction Error = -4.609 Percent = 2.7669 Prediction Error = -4.676 Percent = 2.6006 Prediction Error = -4.676 Percent = 2.6006 Prediction Error = -4.742 Percent = 2.4421 Prediction Error = -4.742 Percent = 2.4421 Prediction Error = -4.809 Percent = 2.2911 Prediction Error = -4.809 Percent = 2.2911 Prediction Error = -4.876 Percent = 2.1475 Prediction Error = -4.876 Percent = 2.1475 Prediction Error = -4.943 Percent = 2.011 Prediction Error = -4.943 Percent = 2.011 Prediction Error = -5.009 Percent = 1.8815 Prediction Error = -5.009 Percent = 1.8815 Prediction Error = -5.076 Percent = 1.7587 Prediction Error = -5.076 Percent = 1.7587 Prediction Error = -5.143 Percent = 1.6424 Prediction Error = -5.143 Percent = 1.6424 Prediction Error = -5.21 Percent = 1.5324 Prediction Error = -5.21 Percent = 1.5324 Prediction Error = -5.276 Percent = 1.4284 Prediction Error = -5.276 Percent = 1.4284 Prediction Error = -5.343 Percent = 1.3303 Prediction Error = -5.343 Percent = 1.3303 Prediction Error = -5.41 Percent = 1.2378 Prediction Error = -5.41 Percent = 1.2378 Prediction Error = -5.477 Percent = 1.1507 Prediction Error = -5.477 Percent = 1.1507 Prediction Error = -5.543 Percent = 1.0687 Prediction Error = -5.543 Percent = 1.0687 Prediction Error = -5.61 Percent = 0.9916 Prediction Error = -5.61 Percent = 0.9916 Prediction Error = -5.677 Percent = 0.9193 Prediction Error = -5.677 Percent = 0.9193 Prediction Error = -5.744 Percent = 0.8514 Prediction Error = -5.744 Percent = 0.8514 Prediction Error = -5.81 Percent = 0.7878 Prediction Error = -5.81 Percent = 0.7878 Prediction Error = -5.877 Percent = 0.7284 Prediction Error = -5.877 Percent = 0.7284 Prediction Error = -5.944 Percent = 0.6727 Prediction Error = -5.944 Percent = 0.6727 Prediction Error = -6.011 Percent = 0.6208 Prediction Error = -6.011 Percent = 0.6208 Prediction Error = -6.077 Percent = 0.5723 Prediction Error = -6.077 Percent = 0.5723 Prediction Error = -6.144 Percent = 0.5272 Prediction Error = -6.144 Percent = 0.5272 Prediction Error = -6.211 Percent = 0.4851 Prediction Error = -6.211 Percent = 0.4851 Prediction Error = -6.278 Percent = 0.4461 Prediction Error = -6.278 Percent = 0.4461 Prediction Error = -6.344 Percent = 0.4097 Prediction Error = -6.344 Percent = 0.4097 Prediction Error = -6.411 Percent = 0.376 Prediction Error = -6.411 Percent = 0.376 Prediction Error = -6.478 Percent = 0.3448 Prediction Error = -6.478 Percent = 0.3448 Prediction Error = -6.545 Percent = 0.3158 Prediction Error = -6.545 Percent = 0.3158 Prediction Error = -6.611 Percent = 0.289 Prediction Error = -6.611 Percent = 0.289 Prediction Error = -6.678 Percent = 0.2643 Prediction Error = -6.678 Percent = 0.2643 Prediction Error = -6.745 Percent = 0.2414 Prediction Error = 4.8 Percent = 0.8889 Prediction Error = 4.8 Percent = 0.8889 Prediction Error = 3.6 Percent = 9.7778 Prediction Error = 3.6 Percent = 9.7778 Prediction Error = 2.4 Percent = 15.556 Prediction Error = 2.4 Percent = 15.556 Prediction Error = 1.2 Percent = 10.667 Prediction Error = 1.2 Percent = 10.667 Prediction Error = 0 Percent = 15.111 Prediction Error = 0 Percent = 15.111 Prediction Error = -1.2 Percent = 19.556 Prediction Error = -1.2 Percent = 19.556 Prediction Error = -2.4 Percent = 21.333 Prediction Error = -2.4 Percent = 21.333 Prediction Error = -3.6 Percent = 4.8889 Prediction Error = -3.6 Percent = 4.8889 Prediction Error = -4.8 Percent = 2.2222 Prediction Error = -4.8 Percent = 2.2222 Quantile = 2.7733 Residual = 5 Quantile = 2.4464 Residual = 4.4286 Quantile = 2.2684 Residual = 4 Quantile = 2.1421 Residual = 4 Quantile = 2.0429 Residual = 3.875 Quantile = 1.9604 Residual = 3.875 Quantile = 1.8895 Residual = 3.8182 Quantile = 1.827 Residual = 3.75 Quantile = 1.7709 Residual = 3.6923 Quantile = 1.7198 Residual = 3.6 Quantile = 1.6729 Residual = 3.4667 Quantile = 1.6294 Residual = 3.4286 Quantile = 1.5888 Residual = 3.4286 Quantile = 1.5507 Residual = 3.3333 Quantile = 1.5147 Residual = 3.3333 Quantile = 1.4805 Residual = 3.3333 Quantile = 1.448 Residual = 3.25 Quantile = 1.417 Residual = 3.1429 Quantile = 1.3872 Residual = 3.1429 Quantile = 1.3587 Residual = 3 Quantile = 1.3312 Residual = 3 Quantile = 1.3047 Residual = 3 Quantile = 1.279 Residual = 3 Quantile = 1.2542 Residual = 3 Quantile = 1.2301 Residual = 2.9091 Quantile = 1.2068 Residual = 2.8889 Quantile = 1.184 Residual = 2.7368 Quantile = 1.1619 Residual = 2.7143 Quantile = 1.1403 Residual = 2.6667 Quantile = 1.1192 Residual = 2.5714 Quantile = 1.0987 Residual = 2.5 Quantile = 1.0785 Residual = 2.5 Quantile = 1.0588 Residual = 2.4737 Quantile = 1.0395 Residual = 2.4286 Quantile = 1.0206 Residual = 2.4286 Quantile = 1.0021 Residual = 2.4 Quantile = 0.9838 Residual = 2.3571 Quantile = 0.9659 Residual = 2.3333 Quantile = 0.9483 Residual = 2.2727 Quantile = 0.931 Residual = 2.25 Quantile = 0.914 Residual = 2.25 Quantile = 0.8972 Residual = 2.25 Quantile = 0.8807 Residual = 2.2353 Quantile = 0.8644 Residual = 2.2308 Quantile = 0.8484 Residual = 2.2105 Quantile = 0.8325 Residual = 2.2 Quantile = 0.8169 Residual = 2.125 Quantile = 0.8015 Residual = 2.1111 Quantile = 0.7862 Residual = 2.0833 Quantile = 0.7711 Residual = 2.0714 Quantile = 0.7562 Residual = 2 Quantile = 0.7415 Residual = 2 Quantile = 0.7269 Residual = 2 Quantile = 0.7125 Residual = 2 Quantile = 0.6983 Residual = 2 Quantile = 0.6841 Residual = 1.9231 Quantile = 0.6701 Residual = 1.9091 Quantile = 0.6563 Residual = 1.8889 Quantile = 0.6425 Residual = 1.8333 Quantile = 0.6289 Residual = 1.7692 Quantile = 0.6154 Residual = 1.6667 Quantile = 0.602 Residual = 1.5 Quantile = 0.5887 Residual = 1.5 Quantile = 0.5755 Residual = 1.5 Quantile = 0.5625 Residual = 1.5 Quantile = 0.5495 Residual = 1.3333 Quantile = 0.5366 Residual = 1.3333 Quantile = 0.5238 Residual = 1.3125 Quantile = 0.511 Residual = 1.2857 Quantile = 0.4984 Residual = 1.1429 Quantile = 0.4858 Residual = 1.125 Quantile = 0.4734 Residual = 1.0769 Quantile = 0.4609 Residual = 1.0625 Quantile = 0.4486 Residual = 1.0625 Quantile = 0.4363 Residual = 1 Quantile = 0.4241 Residual = 1 Quantile = 0.412 Residual = 1 Quantile = 0.3999 Residual = 0.9333 Quantile = 0.3879 Residual = 0.9231 Quantile = 0.3759 Residual = 0.7273 Quantile = 0.364 Residual = 0.7273 Quantile = 0.3521 Residual = 0.6842 Quantile = 0.3403 Residual = 0.6667 Quantile = 0.3285 Residual = 0.5 Quantile = 0.3168 Residual = 0.5 Quantile = 0.3051 Residual = 0.3846 Quantile = 0.2935 Residual = 0.25 Quantile = 0.2819 Residual = 0.25 Quantile = 0.2703 Residual = 0.2353 Quantile = 0.2588 Residual = 0.1765 Quantile = 0.2473 Residual = 0.1765 Quantile = 0.2359 Residual = 0.1667 Quantile = 0.2244 Residual = 0.1667 Quantile = 0.213 Residual = 0.1429 Quantile = 0.2017 Residual = 0.1111 Quantile = 0.1903 Residual = 0.1111 Quantile = 0.179 Residual = 0.1053 Quantile = 0.1677 Residual = 0.1053 Quantile = 0.1564 Residual = 0.0769 Quantile = 0.1452 Residual = 2E-8 Quantile = 0.1339 Residual = 1.2E-8 Quantile = 0.1227 Residual = -16E-9 Quantile = 0.1115 Residual = -51E-9 Quantile = 0.1003 Residual = -63E-8 Quantile = 0.0891 Residual = -0.071 Quantile = 0.078 Residual = -0.083 Quantile = 0.0668 Residual = -0.143 Quantile = 0.0557 Residual = -0.2 Quantile = 0.0445 Residual = -0.222 Quantile = 0.0334 Residual = -0.333 Quantile = 0.0223 Residual = -0.333 Quantile = 0.0111 Residual = -0.353 Quantile = 0 Residual = -0.357 Quantile = -0.011 Residual = -0.375 Quantile = -0.022 Residual = -0.5 Quantile = -0.033 Residual = -0.5 Quantile = -0.045 Residual = -0.529 Quantile = -0.056 Residual = -0.667 Quantile = -0.067 Residual = -0.667 Quantile = -0.078 Residual = -0.727 Quantile = -0.089 Residual = -0.737 Quantile = -0.1 Residual = -0.778 Quantile = -0.112 Residual = -0.8 Quantile = -0.123 Residual = -0.8 Quantile = -0.134 Residual = -0.818 Quantile = -0.145 Residual = -0.833 Quantile = -0.156 Residual = -0.857 Quantile = -0.168 Residual = -0.941 Quantile = -0.179 Residual = -1 Quantile = -0.19 Residual = -1 Quantile = -0.202 Residual = -1 Quantile = -0.213 Residual = -1 Quantile = -0.224 Residual = -1 Quantile = -0.236 Residual = -1 Quantile = -0.247 Residual = -1.059 Quantile = -0.259 Residual = -1.067 Quantile = -0.27 Residual = -1.125 Quantile = -0.282 Residual = -1.2 Quantile = -0.293 Residual = -1.25 Quantile = -0.305 Residual = -1.333 Quantile = -0.317 Residual = -1.333 Quantile = -0.329 Residual = -1.333 Quantile = -0.34 Residual = -1.333 Quantile = -0.352 Residual = -1.375 Quantile = -0.364 Residual = -1.4 Quantile = -0.376 Residual = -1.4 Quantile = -0.388 Residual = -1.4 Quantile = -0.4 Residual = -1.5 Quantile = -0.412 Residual = -1.5 Quantile = -0.424 Residual = -1.5 Quantile = -0.436 Residual = -1.556 Quantile = -0.449 Residual = -1.556 Quantile = -0.461 Residual = -1.571 Quantile = -0.473 Residual = -1.588 Quantile = -0.486 Residual = -1.6 Quantile = -0.498 Residual = -1.625 Quantile = -0.511 Residual = -1.643 Quantile = -0.524 Residual = -1.667 Quantile = -0.537 Residual = -1.667 Quantile = -0.549 Residual = -1.765 Quantile = -0.562 Residual = -1.769 Quantile = -0.576 Residual = -1.8 Quantile = -0.589 Residual = -1.833 Quantile = -0.602 Residual = -1.833 Quantile = -0.615 Residual = -1.875 Quantile = -0.629 Residual = -1.875 Quantile = -0.643 Residual = -1.895 Quantile = -0.656 Residual = -1.909 Quantile = -0.67 Residual = -1.917 Quantile = -0.684 Residual = -1.917 Quantile = -0.698 Residual = -1.929 Quantile = -0.713 Residual = -1.937 Quantile = -0.727 Residual = -1.938 Quantile = -0.742 Residual = -2 Quantile = -0.756 Residual = -2 Quantile = -0.771 Residual = -2 Quantile = -0.786 Residual = -2 Quantile = -0.801 Residual = -2 Quantile = -0.817 Residual = -2.067 Quantile = -0.833 Residual = -2.067 Quantile = -0.848 Residual = -2.091 Quantile = -0.864 Residual = -2.091 Quantile = -0.881 Residual = -2.1 Quantile = -0.897 Residual = -2.143 Quantile = -0.914 Residual = -2.167 Quantile = -0.931 Residual = -2.2 Quantile = -0.948 Residual = -2.2 Quantile = -0.966 Residual = -2.2 Quantile = -0.984 Residual = -2.214 Quantile = -1.002 Residual = -2.231 Quantile = -1.021 Residual = -2.25 Quantile = -1.04 Residual = -2.273 Quantile = -1.059 Residual = -2.3 Quantile = -1.079 Residual = -2.3 Quantile = -1.099 Residual = -2.333 Quantile = -1.119 Residual = -2.333 Quantile = -1.14 Residual = -2.4 Quantile = -1.162 Residual = -2.4 Quantile = -1.184 Residual = -2.5 Quantile = -1.207 Residual = -2.5 Quantile = -1.23 Residual = -2.5 Quantile = -1.254 Residual = -2.6 Quantile = -1.279 Residual = -2.625 Quantile = -1.305 Residual = -2.667 Quantile = -1.331 Residual = -2.75 Quantile = -1.359 Residual = -2.75 Quantile = -1.387 Residual = -2.8 Quantile = -1.417 Residual = -2.833 Quantile = -1.448 Residual = -2.937 Quantile = -1.481 Residual = -3 Quantile = -1.515 Residual = -3 Quantile = -1.551 Residual = -3 Quantile = -1.589 Residual = -3.077 Quantile = -1.629 Residual = -3.25 Quantile = -1.673 Residual = -3.4 Quantile = -1.72 Residual = -3.5 Quantile = -1.771 Residual = -4 Quantile = -1.827 Residual = -4 Quantile = -1.89 Residual = -4 Quantile = -1.96 Residual = -4 Quantile = -2.043 Residual = -4.2 Quantile = -2.142 Residual = -5 Quantile = -2.268 Residual = -5 Quantile = -2.446 Residual = -5 Quantile = -2.773 Residual = -5 Slope = 2.2028 Y = -0.136 Lag = 24 ACF = 0.0408 Lag = 23 ACF = -0.064 Lag = 22 ACF = -0.076 Lag = 21 ACF = -0.049 Lag = 20 ACF = -0.128 Lag = 19 ACF = -0.026 Lag = 18 ACF = 0.0436 Lag = 17 ACF = 0.0817 Lag = 16 ACF = 0.0318 Lag = 15 ACF = 0.0046 Lag = 14 ACF = -0.043 Lag = 13 ACF = -0.06 Lag = 12 ACF = -0.076 Lag = 11 ACF = 0.1162 Lag = 10 ACF = 0.0273 Lag = 9 ACF = 0.0708 Lag = 8 ACF = 0.0777 Lag = 7 ACF = 0.001 Lag = 6 ACF = 0.1629 Lag = 5 ACF = 0.0051 Lag = 4 ACF = -0.02 Lag = 3 ACF = 0.0856 Lag = 2 ACF = 0.0347 Lag = 1 ACF = 0.089 Lag = 0 ACF = 1 Lag = 24 Lower = -0.148 Upper = 0.1483 Lag = 23 Lower = -0.148 Upper = 0.1479 Lag = 23 Lower = -0.148 Upper = 0.1479 Lag = 22 Lower = -0.147 Upper = 0.1471 Lag = 22 Lower = -0.147 Upper = 0.1471 Lag = 21 Lower = -0.147 Upper = 0.1469 Lag = 21 Lower = -0.147 Upper = 0.1469 Lag = 20 Lower = -0.145 Upper = 0.1449 Lag = 20 Lower = -0.145 Upper = 0.1449 Lag = 19 Lower = -0.145 Upper = 0.1448 Lag = 19 Lower = -0.145 Upper = 0.1448 Lag = 18 Lower = -0.145 Upper = 0.1445 Lag = 18 Lower = -0.145 Upper = 0.1445 Lag = 17 Lower = -0.144 Upper = 0.1437 Lag = 17 Lower = -0.144 Upper = 0.1437 Lag = 16 Lower = -0.144 Upper = 0.1436 Lag = 16 Lower = -0.144 Upper = 0.1436 Lag = 15 Lower = -0.144 Upper = 0.1436 Lag = 15 Lower = -0.144 Upper = 0.1436 Lag = 14 Lower = -0.143 Upper = 0.1434 Lag = 14 Lower = -0.143 Upper = 0.1434 Lag = 13 Lower = -0.143 Upper = 0.1429 Lag = 13 Lower = -0.143 Upper = 0.1429 Lag = 12 Lower = -0.142 Upper = 0.1422 Lag = 12 Lower = -0.142 Upper = 0.1422 Lag = 11 Lower = -0.141 Upper = 0.1405 Lag = 11 Lower = -0.141 Upper = 0.1405 Lag = 10 Lower = -0.14 Upper = 0.1404 Lag = 10 Lower = -0.14 Upper = 0.1404 Lag = 9 Lower = -0.14 Upper = 0.1398 Lag = 9 Lower = -0.14 Upper = 0.1398 Lag = 8 Lower = -0.139 Upper = 0.139 Lag = 8 Lower = -0.139 Upper = 0.139 Lag = 7 Lower = -0.139 Upper = 0.139 Lag = 7 Lower = -0.139 Upper = 0.139 Lag = 6 Lower = -0.136 Upper = 0.1356 Lag = 6 Lower = -0.136 Upper = 0.1356 Lag = 5 Lower = -0.136 Upper = 0.1356 Lag = 5 Lower = -0.136 Upper = 0.1356 Lag = 4 Lower = -0.136 Upper = 0.1355 Lag = 4 Lower = -0.136 Upper = 0.1355 Lag = 3 Lower = -0.135 Upper = 0.1345 Lag = 3 Lower = -0.135 Upper = 0.1345 Lag = 2 Lower = -0.134 Upper = 0.1344 Lag = 2 Lower = -0.134 Upper = 0.1344 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = 0.0394 Lag = 23 PACF = -0.022 Lag = 22 PACF = -0.069 Lag = 21 PACF = -0.027 Lag = 20 PACF = -0.121 Lag = 19 PACF = -0.05 Lag = 18 PACF = 0.063 Lag = 17 PACF = 0.037 Lag = 16 PACF = 0.0282 Lag = 15 PACF = 0.0239 Lag = 14 PACF = -0.071 Lag = 13 PACF = -0.043 Lag = 12 PACF = -0.132 Lag = 11 PACF = 0.1038 Lag = 10 PACF = 0.0269 Lag = 9 PACF = 0.0347 Lag = 8 PACF = 0.0725 Lag = 7 PACF = -0.023 Lag = 6 PACF = 0.159 Lag = 5 PACF = 0.0055 Lag = 4 PACF = -0.036 Lag = 3 PACF = 0.0809 Lag = 2 PACF = 0.0269 Lag = 1 PACF = 0.089 Lag = 24 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Aug2019 Loess Fit = 0.4993 Date_of_death = Jul2019 Loess Fit = 0.4639 Date_of_death = Jul2019 Loess Fit = 0.4639 Date_of_death = Jun2019 Loess Fit = 0.4286 Date_of_death = Jun2019 Loess Fit = 0.4286 Date_of_death = May2019 Loess Fit = 0.3932 Date_of_death = May2019 Loess Fit = 0.3932 Date_of_death = Apr2019 Loess Fit = 0.3579 Date_of_death = Apr2019 Loess Fit = 0.3579 Date_of_death = Mar2019 Loess Fit = 0.3225 Date_of_death = Mar2019 Loess Fit = 0.3225 Date_of_death = Feb2019 Loess Fit = 0.2872 Date_of_death = Feb2019 Loess Fit = 0.2872 Date_of_death = Jan2019 Loess Fit = 0.253 Date_of_death = Jan2019 Loess Fit = 0.253 Date_of_death = Dec2018 Loess Fit = 0.2191 Date_of_death = Dec2018 Loess Fit = 0.2191 Date_of_death = Oct2018 Loess Fit = 0.1852 Date_of_death = Oct2018 Loess Fit = 0.1852 Date_of_death = Sep2018 Loess Fit = 0.1513 Date_of_death = Sep2018 Loess Fit = 0.1513 Date_of_death = Aug2018 Loess Fit = 0.1174 Date_of_death = Aug2018 Loess Fit = 0.1174 Date_of_death = Jul2018 Loess Fit = 0.0835 Date_of_death = Jul2018 Loess Fit = 0.0835 Date_of_death = Jun2018 Loess Fit = 0.0497 Date_of_death = Jun2018 Loess Fit = 0.0497 Date_of_death = May2018 Loess Fit = 0.0161 Date_of_death = May2018 Loess Fit = 0.0161 Date_of_death = Apr2018 Loess Fit = -0.018 Date_of_death = Apr2018 Loess Fit = -0.018 Date_of_death = Mar2018 Loess Fit = -0.051 Date_of_death = Mar2018 Loess Fit = -0.051 Date_of_death = Jan2018 Loess Fit = -0.085 Date_of_death = Jan2018 Loess Fit = -0.085 Date_of_death = Dec2017 Loess Fit = -0.119 Date_of_death = Dec2017 Loess Fit = -0.119 Date_of_death = Nov2017 Loess Fit = -0.152 Date_of_death = Nov2017 Loess Fit = -0.152 Date_of_death = Oct2017 Loess Fit = -0.184 Date_of_death = Oct2017 Loess Fit = -0.184 Date_of_death = Sep2017 Loess Fit = -0.216 Date_of_death = Sep2017 Loess Fit = -0.216 Date_of_death = Aug2017 Loess Fit = -0.248 Date_of_death = Aug2017 Loess Fit = -0.248 Date_of_death = Jul2017 Loess Fit = -0.28 Date_of_death = Jul2017 Loess Fit = -0.28 Date_of_death = Jun2017 Loess Fit = -0.312 Date_of_death = Jun2017 Loess Fit = -0.312 Date_of_death = May2017 Loess Fit = -0.344 Date_of_death = May2017 Loess Fit = -0.344 Date_of_death = Mar2017 Loess Fit = -0.355 Date_of_death = Mar2017 Loess Fit = -0.355 Date_of_death = Feb2017 Loess Fit = -0.365 Date_of_death = Feb2017 Loess Fit = -0.365 Date_of_death = Jan2017 Loess Fit = -0.375 Date_of_death = Jan2017 Loess Fit = -0.375 Date_of_death = Dec2016 Loess Fit = -0.386 Date_of_death = Dec2016 Loess Fit = -0.386 Date_of_death = Nov2016 Loess Fit = -0.396 Date_of_death = Nov2016 Loess Fit = -0.396 Date_of_death = Oct2016 Loess Fit = -0.406 Date_of_death = Oct2016 Loess Fit = -0.406 Date_of_death = Sep2016 Loess Fit = -0.413 Date_of_death = Sep2016 Loess Fit = -0.413 Date_of_death = Aug2016 Loess Fit = -0.418 Date_of_death = Aug2016 Loess Fit = -0.418 Date_of_death = Jun2016 Loess Fit = -0.423 Date_of_death = Jun2016 Loess Fit = -0.423 Date_of_death = May2016 Loess Fit = -0.429 Date_of_death = May2016 Loess Fit = -0.429 Date_of_death = Apr2016 Loess Fit = -0.434 Date_of_death = Apr2016 Loess Fit = -0.434 Date_of_death = Mar2016 Loess Fit = -0.439 Date_of_death = Mar2016 Loess Fit = -0.439 Date_of_death = Feb2016 Loess Fit = -0.435 Date_of_death = Feb2016 Loess Fit = -0.435 Date_of_death = Jan2016 Loess Fit = -0.421 Date_of_death = Jan2016 Loess Fit = -0.421 Date_of_death = Dec2015 Loess Fit = -0.407 Date_of_death = Dec2015 Loess Fit = -0.407 Date_of_death = Nov2015 Loess Fit = -0.393 Date_of_death = Nov2015 Loess Fit = -0.393 Date_of_death = Sep2015 Loess Fit = -0.379 Date_of_death = Sep2015 Loess Fit = -0.379 Date_of_death = Aug2015 Loess Fit = -0.365 Date_of_death = Aug2015 Loess Fit = -0.365 Date_of_death = Jul2015 Loess Fit = -0.348 Date_of_death = Jul2015 Loess Fit = -0.348 Date_of_death = Jun2015 Loess Fit = -0.324 Date_of_death = Jun2015 Loess Fit = -0.324 Date_of_death = May2015 Loess Fit = -0.3 Date_of_death = May2015 Loess Fit = -0.3 Date_of_death = Apr2015 Loess Fit = -0.276 Date_of_death = Apr2015 Loess Fit = -0.276 Date_of_death = Mar2015 Loess Fit = -0.251 Date_of_death = Mar2015 Loess Fit = -0.251 Date_of_death = Feb2015 Loess Fit = -0.227 Date_of_death = Feb2015 Loess Fit = -0.227 Date_of_death = Dec2014 Loess Fit = -0.203 Date_of_death = Dec2014 Loess Fit = -0.203 Date_of_death = Nov2014 Loess Fit = -0.172 Date_of_death = Nov2014 Loess Fit = -0.172 Date_of_death = Oct2014 Loess Fit = -0.141 Date_of_death = Oct2014 Loess Fit = -0.141 Date_of_death = Sep2014 Loess Fit = -0.109 Date_of_death = Sep2014 Loess Fit = -0.109 Date_of_death = Aug2014 Loess Fit = -0.078 Date_of_death = Aug2014 Loess Fit = -0.078 Date_of_death = Jul2014 Loess Fit = -0.047 Date_of_death = Jul2014 Loess Fit = -0.047 Date_of_death = Jun2014 Loess Fit = -0.016 Date_of_death = Jun2014 Loess Fit = -0.016 Date_of_death = May2014 Loess Fit = 0.0169 Date_of_death = May2014 Loess Fit = 0.0169 Date_of_death = Apr2014 Loess Fit = 0.05 Date_of_death = Apr2014 Loess Fit = 0.05 Date_of_death = Feb2014 Loess Fit = 0.0831 Date_of_death = Feb2014 Loess Fit = 0.0831 Date_of_death = Jan2014 Loess Fit = 0.1162 Date_of_death = Jan2014 Loess Fit = 0.1162 Date_of_death = Dec2013 Loess Fit = 0.1494 Date_of_death = Dec2013 Loess Fit = 0.1494 Date_of_death = Nov2013 Loess Fit = 0.1825 Date_of_death = Nov2013 Loess Fit = 0.1825 Date_of_death = Oct2013 Loess Fit = 0.2017 Date_of_death = Oct2013 Loess Fit = 0.2017 Date_of_death = Sep2013 Loess Fit = 0.2075 Date_of_death = Sep2013 Loess Fit = 0.2075 Date_of_death = Aug2013 Loess Fit = 0.2133 Date_of_death = Aug2013 Loess Fit = 0.2133 Date_of_death = Jul2013 Loess Fit = 0.2192 Date_of_death = Jul2013 Loess Fit = 0.2192 Date_of_death = May2013 Loess Fit = 0.225 Date_of_death = May2013 Loess Fit = 0.225 Date_of_death = Apr2013 Loess Fit = 0.2308 Date_of_death = Apr2013 Loess Fit = 0.2308 Date_of_death = Mar2013 Loess Fit = 0.2352 Date_of_death = Mar2013 Loess Fit = 0.2352 Date_of_death = Feb2013 Loess Fit = 0.2348 Date_of_death = Feb2013 Loess Fit = 0.2348 Date_of_death = Jan2013 Loess Fit = 0.2344 Date_of_death = Jan2013 Loess Fit = 0.2344 Date_of_death = Dec2012 Loess Fit = 0.234 Date_of_death = Dec2012 Loess Fit = 0.234 Date_of_death = Nov2012 Loess Fit = 0.2337 Date_of_death = Nov2012 Loess Fit = 0.2337 Date_of_death = Oct2012 Loess Fit = 0.2333 Date_of_death = Oct2012 Loess Fit = 0.2333 Date_of_death = Aug2012 Loess Fit = 0.2327 Date_of_death = Aug2012 Loess Fit = 0.2327 Date_of_death = Jul2012 Loess Fit = 0.2192 Date_of_death = Jul2012 Loess Fit = 0.2192 Date_of_death = Jun2012 Loess Fit = 0.2056 Date_of_death = Jun2012 Loess Fit = 0.2056 Date_of_death = May2012 Loess Fit = 0.192 Date_of_death = May2012 Loess Fit = 0.192 Date_of_death = Apr2012 Loess Fit = 0.1784 Date_of_death = Apr2012 Loess Fit = 0.1784 Date_of_death = Mar2012 Loess Fit = 0.1649 Date_of_death = Mar2012 Loess Fit = 0.1649 Date_of_death = Feb2012 Loess Fit = 0.1513 Date_of_death = Feb2012 Loess Fit = 0.1513 Date_of_death = Jan2012 Loess Fit = 0.1194 Date_of_death = Jan2012 Loess Fit = 0.1194 Date_of_death = Dec2011 Loess Fit = 0.0819 Date_of_death = Dec2011 Loess Fit = 0.0819 Date_of_death = Oct2011 Loess Fit = 0.0443 Date_of_death = Oct2011 Loess Fit = 0.0443 Date_of_death = Sep2011 Loess Fit = 0.0067 Date_of_death = Sep2011 Loess Fit = 0.0067 Date_of_death = Aug2011 Loess Fit = -0.031 Date_of_death = Aug2011 Loess Fit = -0.031 Date_of_death = Jul2011 Loess Fit = -0.068 Date_of_death = Jul2011 Loess Fit = -0.068 Date_of_death = Jun2011 Loess Fit = -0.098 Date_of_death = Jun2011 Loess Fit = -0.098 Date_of_death = May2011 Loess Fit = -0.118 Date_of_death = May2011 Loess Fit = -0.118 Date_of_death = Apr2011 Loess Fit = -0.138 Date_of_death = Apr2011 Loess Fit = -0.138 Date_of_death = Mar2011 Loess Fit = -0.158 Date_of_death = Mar2011 Loess Fit = -0.158 Date_of_death = Jan2011 Loess Fit = -0.178 Date_of_death = Jan2011 Loess Fit = -0.178 Date_of_death = Dec2010 Loess Fit = -0.198 Date_of_death = Dec2010 Loess Fit = -0.198 Date_of_death = Nov2010 Loess Fit = -0.207 Date_of_death = Nov2010 Loess Fit = -0.207 Date_of_death = Oct2010 Loess Fit = -0.178 Date_of_death = Oct2010 Loess Fit = -0.178 Date_of_death = Sep2010 Loess Fit = -0.15 Date_of_death = Sep2010 Loess Fit = -0.15 Date_of_death = Aug2010 Loess Fit = -0.121 Date_of_death = Aug2010 Loess Fit = -0.121 Date_of_death = Jul2010 Loess Fit = -0.093 Date_of_death = Jul2010 Loess Fit = -0.093 Date_of_death = Jun2010 Loess Fit = -0.064 Date_of_death = Jun2010 Loess Fit = -0.064 Date_of_death = May2010 Loess Fit = -0.036 Date_of_death = May2010 Loess Fit = -0.036 Date_of_death = Mar2010 Loess Fit = 0.0042 Date_of_death = Mar2010 Loess Fit = 0.0042 Date_of_death = Feb2010 Loess Fit = 0.0447 Date_of_death = Feb2010 Loess Fit = 0.0447 Date_of_death = Jan2010 Loess Fit = 0.0852 Date_of_death = Jan2010 Loess Fit = 0.0852 Date_of_death = Dec2009 Loess Fit = 0.1257 Date_of_death = Dec2009 Loess Fit = 0.1257 Date_of_death = Nov2009 Loess Fit = 0.1663 Date_of_death = Nov2009 Loess Fit = 0.1663 Date_of_death = Oct2009 Loess Fit = 0.2068 Date_of_death = Oct2009 Loess Fit = 0.2068 Date_of_death = Sep2009 Loess Fit = 0.2513 Date_of_death = Sep2009 Loess Fit = 0.2513 Date_of_death = Aug2009 Loess Fit = 0.2971 Date_of_death = Aug2009 Loess Fit = 0.2971 Date_of_death = Jun2009 Loess Fit = 0.343 Date_of_death = Jun2009 Loess Fit = 0.343 Date_of_death = May2009 Loess Fit = 0.3888 Date_of_death = May2009 Loess Fit = 0.3888 Date_of_death = Apr2009 Loess Fit = 0.4347 Date_of_death = Apr2009 Loess Fit = 0.4347 Date_of_death = Mar2009 Loess Fit = 0.4805 Date_of_death = Mar2009 Loess Fit = 0.4805 Date_of_death = Feb2009 Loess Fit = 0.5334 Date_of_death = Feb2009 Loess Fit = 0.5334 Date_of_death = Jan2009 Loess Fit = 0.5944 Date_of_death = Jan2009 Loess Fit = 0.5944 Date_of_death = Dec2008 Loess Fit = 0.6555 Date_of_death = Dec2008 Loess Fit = 0.6555 Date_of_death = Nov2008 Loess Fit = 0.7166 Date_of_death = Nov2008 Loess Fit = 0.7166 Date_of_death = Sep2008 Loess Fit = 0.7776 Date_of_death = Sep2008 Loess Fit = 0.7776 Date_of_death = Aug2008 Loess Fit = 0.8387 Date_of_death = Aug2008 Loess Fit = 0.8387 Date_of_death = Jul2008 Loess Fit = 0.8893 Date_of_death = Jul2008 Loess Fit = 0.8893 Date_of_death = Jun2008 Loess Fit = 0.9064 Date_of_death = Jun2008 Loess Fit = 0.9064 Date_of_death = May2008 Loess Fit = 0.9235 Date_of_death = May2008 Loess Fit = 0.9235 Date_of_death = Apr2008 Loess Fit = 0.9406 Date_of_death = Apr2008 Loess Fit = 0.9406 Date_of_death = Mar2008 Loess Fit = 0.9577 Date_of_death = Mar2008 Loess Fit = 0.9577 Date_of_death = Feb2008 Loess Fit = 0.9748 Date_of_death = Feb2008 Loess Fit = 0.9748 Date_of_death = Jan2008 Loess Fit = 0.9919 Date_of_death = Jan2008 Loess Fit = 0.9919 Date_of_death = Nov2007 Loess Fit = 0.9115 Date_of_death = Nov2007 Loess Fit = 0.9115 Date_of_death = Oct2007 Loess Fit = 0.8301 Date_of_death = Oct2007 Loess Fit = 0.8301 Date_of_death = Sep2007 Loess Fit = 0.7486 Date_of_death = Sep2007 Loess Fit = 0.7486 Date_of_death = Aug2007 Loess Fit = 0.6672 Date_of_death = Aug2007 Loess Fit = 0.6672 Date_of_death = Jul2007 Loess Fit = 0.5857 Date_of_death = Jul2007 Loess Fit = 0.5857 Date_of_death = Jun2007 Loess Fit = 0.5042 Date_of_death = Jun2007 Loess Fit = 0.5042 Date_of_death = May2007 Loess Fit = 0.4071 Date_of_death = May2007 Loess Fit = 0.4071 Date_of_death = Apr2007 Loess Fit = 0.3037 Date_of_death = Apr2007 Loess Fit = 0.3037 Date_of_death = Feb2007 Loess Fit = 0.2002 Date_of_death = Feb2007 Loess Fit = 0.2002 Date_of_death = Jan2007 Loess Fit = 0.0967 Date_of_death = Jan2007 Loess Fit = 0.0967 Date_of_death = Dec2006 Loess Fit = -0.007 Date_of_death = Dec2006 Loess Fit = -0.007 Date_of_death = Nov2006 Loess Fit = -0.11 Date_of_death = Nov2006 Loess Fit = -0.11 Date_of_death = Oct2006 Loess Fit = -0.202 Date_of_death = Oct2006 Loess Fit = -0.202 Date_of_death = Sep2006 Loess Fit = -0.281 Date_of_death = Sep2006 Loess Fit = -0.281 Date_of_death = Aug2006 Loess Fit = -0.359 Date_of_death = Aug2006 Loess Fit = -0.359 Date_of_death = Jul2006 Loess Fit = -0.438 Date_of_death = Jul2006 Loess Fit = -0.438 Date_of_death = May2006 Loess Fit = -0.517 Date_of_death = May2006 Loess Fit = -0.517 Date_of_death = Apr2006 Loess Fit = -0.596 Date_of_death = Apr2006 Loess Fit = -0.596 Date_of_death = Mar2006 Loess Fit = -0.669 Date_of_death = Mar2006 Loess Fit = -0.669 Date_of_death = Feb2006 Loess Fit = -0.72 Date_of_death = Feb2006 Loess Fit = -0.72 Date_of_death = Jan2006 Loess Fit = -0.771 Date_of_death = Jan2006 Loess Fit = -0.771 Date_of_death = Dec2005 Loess Fit = -0.822 Date_of_death = Dec2005 Loess Fit = -0.822 Date_of_death = Nov2005 Loess Fit = -0.873 Date_of_death = Nov2005 Loess Fit = -0.873 Date_of_death = Oct2005 Loess Fit = -0.923 Date_of_death = Oct2005 Loess Fit = -0.923 Date_of_death = Sep2005 Loess Fit = -0.974 Date_of_death = Sep2005 Loess Fit = -0.974 Date_of_death = Jul2005 Loess Fit = -0.944 Date_of_death = Jul2005 Loess Fit = -0.944 Date_of_death = Jun2005 Loess Fit = -0.914 Date_of_death = Jun2005 Loess Fit = -0.914 Date_of_death = May2005 Loess Fit = -0.883 Date_of_death = May2005 Loess Fit = -0.883 Date_of_death = Apr2005 Loess Fit = -0.853 Date_of_death = Apr2005 Loess Fit = -0.853 Date_of_death = Mar2005 Loess Fit = -0.822 Date_of_death = Mar2005 Loess Fit = -0.822 Date_of_death = Feb2005 Loess Fit = -0.791 Date_of_death = Feb2005 Loess Fit = -0.791 Date_of_death = Jan2005 Loess Fit = -0.729 Date_of_death = Jan2005 Loess Fit = -0.729 Date_of_death = Dec2004 Loess Fit = -0.658 Date_of_death = Dec2004 Loess Fit = -0.658 Date_of_death = Oct2004 Loess Fit = -0.586 Date_of_death = Oct2004 Loess Fit = -0.586 Date_of_death = Sep2004 Loess Fit = -0.515 Date_of_death = Sep2004 Loess Fit = -0.515 Date_of_death = Aug2004 Loess Fit = -0.443 Date_of_death = Aug2004 Loess Fit = -0.443 Date_of_death = Jul2004 Loess Fit = -0.372 Date_of_death = Jul2004 Loess Fit = -0.372 Date_of_death = Jun2004 Loess Fit = -0.314 Date_of_death = Jun2004 Loess Fit = -0.314 Date_of_death = May2004 Loess Fit = -0.272 Date_of_death = May2004 Loess Fit = -0.272 Date_of_death = Apr2004 Loess Fit = -0.23 Date_of_death = Apr2004 Loess Fit = -0.23 Date_of_death = Mar2004 Loess Fit = -0.187 Date_of_death = Mar2004 Loess Fit = -0.187 Date_of_death = Jan2004 Loess Fit = -0.145 Date_of_death = Jan2004 Loess Fit = -0.145 Date_of_death = Dec2003 Loess Fit = -0.103 Date_of_death = Dec2003 Loess Fit = -0.103 Date_of_death = Nov2003 Loess Fit = -0.073 Date_of_death = Nov2003 Loess Fit = -0.073 Date_of_death = Oct2003 Loess Fit = -0.084 Date_of_death = Oct2003 Loess Fit = -0.084 Date_of_death = Sep2003 Loess Fit = -0.096 Date_of_death = Sep2003 Loess Fit = -0.096 Date_of_death = Aug2003 Loess Fit = -0.107 Date_of_death = Aug2003 Loess Fit = -0.107 Date_of_death = Jul2003 Loess Fit = -0.118 Date_of_death = Jul2003 Loess Fit = -0.118 Date_of_death = Jun2003 Loess Fit = -0.13 Date_of_death = Jun2003 Loess Fit = -0.13 Date_of_death = May2003 Loess Fit = -0.141 Date_of_death = May2003 Loess Fit = -0.141 Date_of_death = Mar2003 Loess Fit = -0.196 Date_of_death = Mar2003 Loess Fit = -0.196 Date_of_death = Feb2003 Loess Fit = -0.253 Date_of_death = Feb2003 Loess Fit = -0.253 Date_of_death = Jan2003 Loess Fit = -0.311 Date_of_death = Jan2003 Loess Fit = -0.311 Date_of_death = Dec2002 Loess Fit = -0.369 Date_of_death = Dec2002 Loess Fit = -0.369 Date_of_death = Nov2002 Loess Fit = -0.426 Date_of_death = Nov2002 Loess Fit = -0.426 Date_of_death = Oct2002 Loess Fit = -0.484 Date_of_death = Oct2002 Loess Fit = -0.484 Date_of_death = Sep2002 Loess Fit = -0.548 Date_of_death = Sep2002 Loess Fit = -0.548 Date_of_death = Aug2002 Loess Fit = -0.614 Date_of_death = Aug2002 Loess Fit = -0.614 Date_of_death = Jun2002 Loess Fit = -0.681 Date_of_death = Jun2002 Loess Fit = -0.681 Date_of_death = May2002 Loess Fit = -0.748 Date_of_death = May2002 Loess Fit = -0.748 Date_of_death = Apr2002 Loess Fit = -0.814 Date_of_death = Apr2002 Loess Fit = -0.814 Date_of_death = Mar2002 Loess Fit = -0.881 Date_of_death = Mar2002 Loess Fit = -0.881 Date_of_death = Feb2002 Loess Fit = -0.948 Date_of_death = Feb2002 Loess Fit = -0.948 Date_of_death = Jan2002 Loess Fit = -1.017 Date_of_death = Jan2002 Loess Fit = -1.017 Date_of_death = Dec2001 Loess Fit = -1.085 Date_of_death = Dec2001 Loess Fit = -1.085 Date_of_death = Nov2001 Loess Fit = -1.154 Date_of_death = Nov2001 Loess Fit = -1.154 Date_of_death = Sep2001 Loess Fit = -1.222 Date_of_death = Sep2001 Loess Fit = -1.222 Date_of_death = Aug2001 Loess Fit = -1.291 Date_of_death = Aug2001 Loess Fit = -1.291 Date_of_death = Jul2001 Loess Fit = -1.36 Date_of_death = Jul2001 Loess Fit = -1.36 Date_of_death = Jun2001 Loess Fit = -1.429 Date_of_death = Jun2001 Loess Fit = -1.429 Date_of_death = May2001 Loess Fit = -1.498 Date_of_death = May2001 Loess Fit = -1.498 Date_of_death = Apr2001 Loess Fit = -1.567 Date_of_death = Apr2001 Loess Fit = -1.567 Date_of_death = Mar2001 Loess Fit = -1.636 Date_of_death = Mar2001 Loess Fit = -1.636 Date_of_death = Feb2001 Loess Fit = -1.705 Date_of_death = Feb2001 Loess Fit = -1.705 Date_of_death = Jan2001 Loess Fit = -1.774 Date_of_death = Sep2019 Prediction Error = -0.737 Date_of_death = Aug2019 Prediction Error = -1.895 Date_of_death = Jul2019 Prediction Error = 2.2105 Date_of_death = Jun2019 Prediction Error = 2.4737 Date_of_death = May2019 Prediction Error = 0.1053 Date_of_death = Apr2019 Prediction Error = 0.6842 Date_of_death = Mar2019 Prediction Error = -1 Date_of_death = Feb2019 Prediction Error = 2.7368 Date_of_death = Jan2019 Prediction Error = 0.1053 Date_of_death = Dec2018 Prediction Error = 1.5 Date_of_death = Nov2018 Prediction Error = 0.1667 Date_of_death = Oct2018 Prediction Error = -1.667 Date_of_death = Sep2018 Prediction Error = -0.778 Date_of_death = Aug2018 Prediction Error = 0.1111 Date_of_death = Jul2018 Prediction Error = -0.833 Date_of_death = Jun2018 Prediction Error = 0.5 Date_of_death = May2018 Prediction Error = 0.1111 Date_of_death = Apr2018 Prediction Error = -0.333 Date_of_death = Mar2018 Prediction Error = 2.1111 Date_of_death = Feb2018 Prediction Error = 1.8333 Date_of_death = Jan2018 Prediction Error = -2 Date_of_death = Dec2017 Prediction Error = -1.588 Date_of_death = Nov2017 Prediction Error = 0.1765 Date_of_death = Oct2017 Prediction Error = -1.765 Date_of_death = Sep2017 Prediction Error = 0.2353 Date_of_death = Aug2017 Prediction Error = -2 Date_of_death = Jul2017 Prediction Error = 0.1765 Date_of_death = Jun2017 Prediction Error = -0.529 Date_of_death = May2017 Prediction Error = 2.2353 Date_of_death = Apr2017 Prediction Error = -0.353 Date_of_death = Mar2017 Prediction Error = -0.941 Date_of_death = Feb2017 Prediction Error = 3 Date_of_death = Jan2017 Prediction Error = -1.059 Date_of_death = Dec2016 Prediction Error = -2.75 Date_of_death = Nov2016 Prediction Error = -1.938 Date_of_death = Oct2016 Prediction Error = -2.937 Date_of_death = Sep2016 Prediction Error = 0.25 Date_of_death = Aug2016 Prediction Error = 1.0625 Date_of_death = Jul2016 Prediction Error = -1.937 Date_of_death = Jun2016 Prediction Error = -1.625 Date_of_death = May2016 Prediction Error = 1.3125 Date_of_death = Apr2016 Prediction Error = -0.375 Date_of_death = Mar2016 Prediction Error = -1 Date_of_death = Feb2016 Prediction Error = 1.0625 Date_of_death = Jan2016 Prediction Error = -1.125 Date_of_death = Dec2015 Prediction Error = -0.8 Date_of_death = Nov2015 Prediction Error = -2.067 Date_of_death = Oct2015 Prediction Error = 2.2 Date_of_death = Sep2015 Prediction Error = 3.4667 Date_of_death = Aug2015 Prediction Error = -1 Date_of_death = Jul2015 Prediction Error = -1 Date_of_death = Jun2015 Prediction Error = -2.8 Date_of_death = May2015 Prediction Error = -1.8 Date_of_death = Apr2015 Prediction Error = 0.6667 Date_of_death = Mar2015 Prediction Error = -1.067 Date_of_death = Feb2015 Prediction Error = -2.067 Date_of_death = Jan2015 Prediction Error = 0.9333 Date_of_death = Dec2014 Prediction Error = -0.857 Date_of_death = Nov2014 Prediction Error = 3.1429 Date_of_death = Oct2014 Prediction Error = -1.929 Date_of_death = Sep2014 Prediction Error = -1.643 Date_of_death = Aug2014 Prediction Error = -63E-8 Date_of_death = Jul2014 Prediction Error = -2.143 Date_of_death = Jun2014 Prediction Error = 2.3571 Date_of_death = May2014 Prediction Error = 3.4286 Date_of_death = Apr2014 Prediction Error = -0.357 Date_of_death = Mar2014 Prediction Error = 2.0714 Date_of_death = Feb2014 Prediction Error = -0.071 Date_of_death = Jan2014 Prediction Error = -2.214 Date_of_death = Dec2013 Prediction Error = -3.077 Date_of_death = Nov2013 Prediction Error = -2 Date_of_death = Oct2013 Prediction Error = 2.2308 Date_of_death = Sep2013 Prediction Error = 0.3846 Date_of_death = Aug2013 Prediction Error = 1.0769 Date_of_death = Jul2013 Prediction Error = 0.9231 Date_of_death = Jun2013 Prediction Error = -1.769 Date_of_death = May2013 Prediction Error = 3.6923 Date_of_death = Apr2013 Prediction Error = 1.7692 Date_of_death = Mar2013 Prediction Error = 0.0769 Date_of_death = Feb2013 Prediction Error = -2.231 Date_of_death = Jan2013 Prediction Error = 1.9231 Date_of_death = Dec2012 Prediction Error = 2.0833 Date_of_death = Nov2012 Prediction Error = 3.25 Date_of_death = Oct2012 Prediction Error = -1.917 Date_of_death = Sep2012 Prediction Error = 1.5 Date_of_death = Aug2012 Prediction Error = 3.3333 Date_of_death = Jul2012 Prediction Error = -2.25 Date_of_death = Jun2012 Prediction Error = -1.917 Date_of_death = May2012 Prediction Error = -0.333 Date_of_death = Apr2012 Prediction Error = -1.333 Date_of_death = Mar2012 Prediction Error = 2.25 Date_of_death = Feb2012 Prediction Error = -1.333 Date_of_death = Jan2012 Prediction Error = -0.083 Date_of_death = Dec2011 Prediction Error = -2.091 Date_of_death = Nov2011 Prediction Error = -1.909 Date_of_death = Oct2011 Prediction Error = -2.091 Date_of_death = Sep2011 Prediction Error = 3.8182 Date_of_death = Aug2011 Prediction Error = -0.727 Date_of_death = Jul2011 Prediction Error = 1.9091 Date_of_death = Jun2011 Prediction Error = 2.2727 Date_of_death = May2011 Prediction Error = 0.7273 Date_of_death = Apr2011 Prediction Error = 0.7273 Date_of_death = Mar2011 Prediction Error = -0.818 Date_of_death = Feb2011 Prediction Error = 2.9091 Date_of_death = Jan2011 Prediction Error = -2.273 Date_of_death = Dec2010 Prediction Error = -3.4 Date_of_death = Nov2010 Prediction Error = -2.1 Date_of_death = Oct2010 Prediction Error = -1.2 Date_of_death = Sep2010 Prediction Error = -0.2 Date_of_death = Aug2010 Prediction Error = 3.6 Date_of_death = Jul2010 Prediction Error = -2.3 Date_of_death = Jun2010 Prediction Error = 2.5 Date_of_death = May2010 Prediction Error = -1.4 Date_of_death = Apr2010 Prediction Error = -1.4 Date_of_death = Mar2010 Prediction Error = 2.4 Date_of_death = Feb2010 Prediction Error = -2.3 Date_of_death = Jan2010 Prediction Error = -1.4 Date_of_death = Dec2009 Prediction Error = -2.667 Date_of_death = Nov2009 Prediction Error = -2.333 Date_of_death = Oct2009 Prediction Error = 2 Date_of_death = Sep2009 Prediction Error = -0.222 Date_of_death = Aug2009 Prediction Error = -1.556 Date_of_death = Jul2009 Prediction Error = 1.8889 Date_of_death = Jun2009 Prediction Error = -1.667 Date_of_death = May2009 Prediction Error = -1.556 Date_of_death = Apr2009 Prediction Error = 4 Date_of_death = Mar2009 Prediction Error = 2.6667 Date_of_death = Feb2009 Prediction Error = 3 Date_of_death = Jan2009 Prediction Error = 2.8889 Date_of_death = Dec2008 Prediction Error = -1.875 Date_of_death = Nov2008 Prediction Error = 3 Date_of_death = Oct2008 Prediction Error = 2.25 Date_of_death = Sep2008 Prediction Error = -1.375 Date_of_death = Aug2008 Prediction Error = 3.875 Date_of_death = Jul2008 Prediction Error = 2.125 Date_of_death = Jun2008 Prediction Error = -1.875 Date_of_death = May2008 Prediction Error = 3.875 Date_of_death = Apr2008 Prediction Error = 1.125 Date_of_death = Mar2008 Prediction Error = -2.625 Date_of_death = Feb2008 Prediction Error = 2E-8 Date_of_death = Jan2008 Prediction Error = -1.25 Date_of_death = Dec2007 Prediction Error = 1.2857 Date_of_death = Nov2007 Prediction Error = 1.1429 Date_of_death = Oct2007 Prediction Error = 2.5714 Date_of_death = Sep2007 Prediction Error = -1.571 Date_of_death = Aug2007 Prediction Error = 4.4286 Date_of_death = Jul2007 Prediction Error = 2.4286 Date_of_death = Jun2007 Prediction Error = 2.4286 Date_of_death = May2007 Prediction Error = -0.143 Date_of_death = Apr2007 Prediction Error = 0.1429 Date_of_death = Mar2007 Prediction Error = 2.7143 Date_of_death = Feb2007 Prediction Error = 3.4286 Date_of_death = Jan2007 Prediction Error = 3.1429 Date_of_death = Dec2006 Prediction Error = 1.5 Date_of_death = Nov2006 Prediction Error = -1 Date_of_death = Oct2006 Prediction Error = -2.833 Date_of_death = Sep2006 Prediction Error = -0.667 Date_of_death = Aug2006 Prediction Error = -0.667 Date_of_death = Jul2006 Prediction Error = -1.833 Date_of_death = Jun2006 Prediction Error = -3 Date_of_death = May2006 Prediction Error = -1.333 Date_of_death = Apr2006 Prediction Error = 0.1667 Date_of_death = Mar2006 Prediction Error = -1.5 Date_of_death = Feb2006 Prediction Error = -1.833 Date_of_death = Jan2006 Prediction Error = -2.167 Date_of_death = Dec2005 Prediction Error = -4.2 Date_of_death = Nov2005 Prediction Error = -2.4 Date_of_death = Oct2005 Prediction Error = -2.2 Date_of_death = Sep2005 Prediction Error = -2 Date_of_death = Aug2005 Prediction Error = -0.8 Date_of_death = Jul2005 Prediction Error = -2.2 Date_of_death = Jun2005 Prediction Error = -2.4 Date_of_death = May2005 Prediction Error = -1.6 Date_of_death = Apr2005 Prediction Error = -1 Date_of_death = Mar2005 Prediction Error = 3 Date_of_death = Feb2005 Prediction Error = -2.2 Date_of_death = Jan2005 Prediction Error = -2.6 Date_of_death = Dec2004 Prediction Error = 1 Date_of_death = Nov2004 Prediction Error = -0.5 Date_of_death = Oct2004 Prediction Error = 2.25 Date_of_death = Sep2004 Prediction Error = -2.5 Date_of_death = Aug2004 Prediction Error = 0.25 Date_of_death = Jul2004 Prediction Error = -4 Date_of_death = Jun2004 Prediction Error = 2 Date_of_death = May2004 Prediction Error = 0.5 Date_of_death = Apr2004 Prediction Error = 3.75 Date_of_death = Mar2004 Prediction Error = 1.2E-8 Date_of_death = Feb2004 Prediction Error = -2.75 Date_of_death = Jan2004 Prediction Error = -3.25 Date_of_death = Dec2003 Prediction Error = 1.3333 Date_of_death = Nov2003 Prediction Error = 3.3333 Date_of_death = Oct2003 Prediction Error = 3 Date_of_death = Sep2003 Prediction Error = 3.3333 Date_of_death = Aug2003 Prediction Error = 1.6667 Date_of_death = Jul2003 Prediction Error = 1.3333 Date_of_death = Jun2003 Prediction Error = -4 Date_of_death = May2003 Prediction Error = -2 Date_of_death = Apr2003 Prediction Error = 1 Date_of_death = Mar2003 Prediction Error = -1.333 Date_of_death = Feb2003 Prediction Error = -2.333 Date_of_death = Jan2003 Prediction Error = 2.3333 Date_of_death = Dec2002 Prediction Error = 2 Date_of_death = Nov2002 Prediction Error = -2.5 Date_of_death = Oct2002 Prediction Error = -1.5 Date_of_death = Sep2002 Prediction Error = -2.5 Date_of_death = Aug2002 Prediction Error = -0.5 Date_of_death = Jul2002 Prediction Error = 2 Date_of_death = Jun2002 Prediction Error = 1.5 Date_of_death = May2002 Prediction Error = -1.5 Date_of_death = Apr2002 Prediction Error = -51E-9 Date_of_death = Mar2002 Prediction Error = -3.5 Date_of_death = Feb2002 Prediction Error = 2.5 Date_of_death = Jan2002 Prediction Error = -4 Date_of_death = Dec2001 Prediction Error = -4 Date_of_death = Nov2001 Prediction Error = -5 Date_of_death = Oct2001 Prediction Error = 5 Date_of_death = Sep2001 Prediction Error = -5 Date_of_death = Aug2001 Prediction Error = 1 Date_of_death = Jul2001 Prediction Error = 4 Date_of_death = Jun2001 Prediction Error = -3 Date_of_death = May2001 Prediction Error = -5 Date_of_death = Apr2001 Prediction Error = -16E-9 Date_of_death = Mar2001 Prediction Error = -3 Date_of_death = Feb2001 Prediction Error = -5 Date_of_death = Jan2001 Prediction Error = 2 Date_of_death = Sep2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Aug2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Aug2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Jul2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Jul2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Jun2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Jun2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = May2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = May2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Apr2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Apr2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Mar2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Mar2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Feb2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Feb2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Jan2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Jan2019 2*STD = 4.0614 -2*STD = -4.061 Date_of_death = Dec2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Dec2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Nov2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Nov2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Oct2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Oct2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Sep2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Sep2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Aug2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Aug2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Jul2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Jul2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Jun2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Jun2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = May2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = May2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Apr2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Apr2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Mar2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Mar2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Feb2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Feb2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Jan2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Jan2018 2*STD = 4.067 -2*STD = -4.067 Date_of_death = Dec2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Dec2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Nov2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Nov2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Oct2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Oct2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Sep2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Sep2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Aug2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Aug2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Jul2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Jul2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Jun2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Jun2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = May2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = May2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Apr2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Apr2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Mar2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Mar2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Feb2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Feb2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Jan2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Jan2017 2*STD = 4.0733 -2*STD = -4.073 Date_of_death = Dec2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Dec2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Nov2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Nov2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Oct2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Oct2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Sep2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Sep2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Aug2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Aug2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Jul2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Jul2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Jun2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Jun2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = May2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = May2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Apr2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Apr2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Mar2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Mar2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Feb2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Feb2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Jan2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Jan2016 2*STD = 4.0804 -2*STD = -4.08 Date_of_death = Dec2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Dec2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Nov2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Nov2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Oct2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Oct2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Sep2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Sep2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Aug2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Aug2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Jul2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Jul2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Jun2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Jun2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = May2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = May2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Apr2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Apr2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Mar2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Mar2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Feb2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Feb2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Jan2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Jan2015 2*STD = 4.0884 -2*STD = -4.088 Date_of_death = Dec2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Dec2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Nov2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Nov2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Oct2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Oct2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Sep2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Sep2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Aug2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Aug2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Jul2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Jul2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Jun2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Jun2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = May2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = May2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Apr2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Apr2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Mar2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Mar2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Feb2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Feb2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Jan2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Jan2014 2*STD = 4.0975 -2*STD = -4.097 Date_of_death = Dec2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Dec2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Nov2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Nov2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Oct2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Oct2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Sep2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Sep2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Aug2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Aug2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Jul2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Jul2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Jun2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Jun2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = May2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = May2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Apr2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Apr2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Mar2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Mar2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Feb2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Feb2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Jan2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Jan2013 2*STD = 4.108 -2*STD = -4.108 Date_of_death = Dec2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Dec2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Nov2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Nov2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Oct2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Oct2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Sep2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Sep2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Aug2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Aug2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Jul2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Jul2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Jun2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Jun2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = May2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = May2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Apr2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Apr2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Mar2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Mar2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Feb2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Feb2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Jan2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Jan2012 2*STD = 4.1202 -2*STD = -4.12 Date_of_death = Dec2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Dec2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Nov2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Nov2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Oct2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Oct2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Sep2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Sep2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Aug2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Aug2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Jul2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Jul2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Jun2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Jun2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = May2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = May2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Apr2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Apr2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Mar2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Mar2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Feb2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Feb2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Jan2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Jan2011 2*STD = 4.1346 -2*STD = -4.135 Date_of_death = Dec2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Dec2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Nov2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Nov2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Oct2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Oct2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Sep2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Sep2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Aug2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Aug2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Jul2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Jul2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Jun2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Jun2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = May2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = May2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Apr2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Apr2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Mar2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Mar2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Feb2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Feb2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Jan2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Jan2010 2*STD = 4.1518 -2*STD = -4.152 Date_of_death = Dec2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Dec2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Nov2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Nov2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Oct2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Oct2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Sep2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Sep2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Aug2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Aug2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Jul2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Jul2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Jun2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Jun2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = May2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = May2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Apr2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Apr2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Mar2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Mar2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Feb2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Feb2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Jan2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Jan2009 2*STD = 4.1727 -2*STD = -4.173 Date_of_death = Dec2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Dec2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Nov2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Nov2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Oct2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Oct2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Sep2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Sep2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Aug2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Aug2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Jul2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Jul2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Jun2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Jun2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = May2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = May2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Apr2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Apr2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Mar2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Mar2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Feb2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Feb2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Jan2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Jan2008 2*STD = 4.1987 -2*STD = -4.199 Date_of_death = Dec2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Dec2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Nov2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Nov2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Oct2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Oct2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Sep2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Sep2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Aug2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Aug2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Jul2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Jul2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Jun2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Jun2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = May2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = May2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Apr2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Apr2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Mar2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Mar2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Feb2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Feb2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Jan2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Jan2007 2*STD = 4.2319 -2*STD = -4.232 Date_of_death = Dec2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Dec2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Nov2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Nov2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Oct2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Oct2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Sep2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Sep2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Aug2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Aug2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Jul2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Jul2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Jun2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Jun2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = May2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = May2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Apr2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Apr2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Mar2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Mar2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Feb2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Feb2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Jan2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Jan2006 2*STD = 4.2757 -2*STD = -4.276 Date_of_death = Dec2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Dec2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Nov2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Nov2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Oct2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Oct2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Sep2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Sep2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Aug2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Aug2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Jul2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Jul2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Jun2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Jun2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = May2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = May2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Apr2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Apr2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Mar2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Mar2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Feb2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Feb2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Jan2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Jan2005 2*STD = 4.3364 -2*STD = -4.336 Date_of_death = Dec2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Dec2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Nov2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Nov2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Oct2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Oct2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Sep2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Sep2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Aug2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Aug2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Jul2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Jul2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Jun2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Jun2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = May2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = May2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Apr2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Apr2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Mar2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Mar2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Feb2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Feb2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Jan2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Jan2004 2*STD = 4.4258 -2*STD = -4.426 Date_of_death = Dec2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Dec2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Nov2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Nov2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Oct2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Oct2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Sep2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Sep2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Aug2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Aug2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Jul2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Jul2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Jun2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Jun2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = May2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = May2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Apr2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Apr2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Mar2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Mar2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Feb2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Feb2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Jan2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Jan2003 2*STD = 4.5709 -2*STD = -4.571 Date_of_death = Dec2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Dec2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Nov2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Nov2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Oct2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Oct2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Sep2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Sep2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Aug2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Aug2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Jul2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Jul2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Jun2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Jun2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = May2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = May2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Apr2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Apr2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Mar2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Mar2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Feb2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Feb2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Jan2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Jan2002 2*STD = 4.8482 -2*STD = -4.848 Date_of_death = Dec2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Dec2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Nov2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Nov2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Oct2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Oct2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Sep2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Sep2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Aug2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Aug2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Jul2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Jul2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Jun2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Jun2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = May2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = May2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Apr2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Apr2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Mar2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Mar2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Feb2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Feb2001 2*STD = 5.5982 -2*STD = -5.598 Date_of_death = Jan2001 2*STD = 5.5982 -2*STD = -5.598 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
238 OCT2019 3.578947 2.03069 -0.401129 7.559022
239 NOV2019 2.842106 2.03069 -1.137970 6.822181
240 DEC2019 3.578947 2.03069 -0.401128 7.559022
241 JAN2020 2.900000 2.02815 -1.075098 6.875097
242 FEB2020 3.400001 2.02815 -0.575096 7.375098
243 MAR2020 3.950000 2.02815 -0.025097 7.925097
244 APR2020 2.350000 2.02815 -1.625097 6.325097
245 MAY2020 2.900001 2.02815 -1.075097 6.875098
246 JUN2020 3.650000 2.02815 -0.325097 7.625097
247 JUL2020 3.900000 2.02815 -0.075097 7.875097
248 AUG2020 2.800000 2.02815 -1.175097 6.775097
249 SEP2020 2.700000 2.02815 -1.275097 6.675098

Forecasts Only Plot

Date_of_death = Sep2020 Forecast = 2.7000 Date_of_death = Aug2020 Forecast = 2.8000 Date_of_death = Aug2020 Forecast = 2.8000 Date_of_death = Jul2020 Forecast = 3.9000 Date_of_death = Jul2020 Forecast = 3.9000 Date_of_death = Jun2020 Forecast = 3.6500 Date_of_death = Jun2020 Forecast = 3.6500 Date_of_death = May2020 Forecast = 2.9000 Date_of_death = May2020 Forecast = 2.9000 Date_of_death = Apr2020 Forecast = 2.3500 Date_of_death = Apr2020 Forecast = 2.3500 Date_of_death = Mar2020 Forecast = 3.9500 Date_of_death = Mar2020 Forecast = 3.9500 Date_of_death = Feb2020 Forecast = 3.4000 Date_of_death = Feb2020 Forecast = 3.4000 Date_of_death = Jan2020 Forecast = 2.9000 Date_of_death = Jan2020 Forecast = 2.9000 Date_of_death = Dec2019 Forecast = 3.5789 Date_of_death = Dec2019 Forecast = 3.5789 Date_of_death = Nov2019 Forecast = 2.8421 Date_of_death = Nov2019 Forecast = 2.8421 Date_of_death = Oct2019 Forecast = 3.5789 Date_of_death = Sep2020 Upper 95% = 6.6751 Lower 95% = -1.2751 Date_of_death = Aug2020 Upper 95% = 6.7751 Lower 95% = -1.1751 Date_of_death = Aug2020 Upper 95% = 6.7751 Lower 95% = -1.1751 Date_of_death = Jul2020 Upper 95% = 7.8751 Lower 95% = -0.0751 Date_of_death = Jul2020 Upper 95% = 7.8751 Lower 95% = -0.0751 Date_of_death = Jun2020 Upper 95% = 7.6251 Lower 95% = -0.3251 Date_of_death = Jun2020 Upper 95% = 7.6251 Lower 95% = -0.3251 Date_of_death = May2020 Upper 95% = 6.8751 Lower 95% = -1.0751 Date_of_death = May2020 Upper 95% = 6.8751 Lower 95% = -1.0751 Date_of_death = Apr2020 Upper 95% = 6.3251 Lower 95% = -1.6251 Date_of_death = Apr2020 Upper 95% = 6.3251 Lower 95% = -1.6251 Date_of_death = Mar2020 Upper 95% = 7.9251 Lower 95% = -0.0251 Date_of_death = Mar2020 Upper 95% = 7.9251 Lower 95% = -0.0251 Date_of_death = Feb2020 Upper 95% = 7.3751 Lower 95% = -0.5751 Date_of_death = Feb2020 Upper 95% = 7.3751 Lower 95% = -0.5751 Date_of_death = Jan2020 Upper 95% = 6.8751 Lower 95% = -1.0751 Date_of_death = Jan2020 Upper 95% = 6.8751 Lower 95% = -1.0751 Date_of_death = Dec2019 Upper 95% = 7.5590 Lower 95% = -0.4011 Date_of_death = Dec2019 Upper 95% = 7.5590 Lower 95% = -0.4011 Date_of_death = Nov2019 Upper 95% = 6.8222 Lower 95% = -1.1380 Date_of_death = Nov2019 Upper 95% = 6.8222 Lower 95% = -1.1380 Date_of_death = Oct2019 Upper 95% = 7.5590 Lower 95% = -0.4011
Forecast Only Plot

Forecasts Plot

X = 21793 Date_of_death = Sep2020 Forecast = 2.7000 Date_of_death = Aug2020 Forecast = 2.8000 Date_of_death = Aug2020 Forecast = 2.8000 Date_of_death = Jul2020 Forecast = 3.9000 Date_of_death = Jul2020 Forecast = 3.9000 Date_of_death = Jun2020 Forecast = 3.6500 Date_of_death = Jun2020 Forecast = 3.6500 Date_of_death = May2020 Forecast = 2.9000 Date_of_death = May2020 Forecast = 2.9000 Date_of_death = Apr2020 Forecast = 2.3500 Date_of_death = Apr2020 Forecast = 2.3500 Date_of_death = Mar2020 Forecast = 3.9500 Date_of_death = Mar2020 Forecast = 3.9500 Date_of_death = Feb2020 Forecast = 3.4000 Date_of_death = Feb2020 Forecast = 3.4000 Date_of_death = Jan2020 Forecast = 2.9000 Date_of_death = Jan2020 Forecast = 2.9000 Date_of_death = Dec2019 Forecast = 3.5789 Date_of_death = Dec2019 Forecast = 3.5789 Date_of_death = Nov2019 Forecast = 2.8421 Date_of_death = Nov2019 Forecast = 2.8421 Date_of_death = Oct2019 Forecast = 3.5789 Date_of_death = Oct2019 Forecast = 3.5789 Date_of_death = Sep2019 Forecast = 2.7368 Date_of_death = Sep2019 Forecast = 2.7368 Date_of_death = Aug2019 Forecast = 2.8947 Date_of_death = Aug2019 Forecast = 2.8947 Date_of_death = Jul2019 Forecast = 3.7895 Date_of_death = Jul2019 Forecast = 3.7895 Date_of_death = Jun2019 Forecast = 3.5263 Date_of_death = Jun2019 Forecast = 3.5263 Date_of_death = May2019 Forecast = 2.8947 Date_of_death = May2019 Forecast = 2.8947 Date_of_death = Apr2019 Forecast = 2.3158 Date_of_death = Apr2019 Forecast = 2.3158 Date_of_death = Mar2019 Forecast = 4.0000 Date_of_death = Mar2019 Forecast = 4.0000 Date_of_death = Feb2019 Forecast = 3.2632 Date_of_death = Feb2019 Forecast = 3.2632 Date_of_death = Jan2019 Forecast = 2.8947 Date_of_death = Jan2019 Forecast = 2.8947 Date_of_death = Dec2018 Forecast = 3.5000 Date_of_death = Dec2018 Forecast = 3.5000 Date_of_death = Nov2018 Forecast = 2.8333 Date_of_death = Nov2018 Forecast = 2.8333 Date_of_death = Oct2018 Forecast = 3.6667 Date_of_death = Oct2018 Forecast = 3.6667 Date_of_death = Sep2018 Forecast = 2.7778 Date_of_death = Sep2018 Forecast = 2.7778 Date_of_death = Aug2018 Forecast = 2.8889 Date_of_death = Aug2018 Forecast = 2.8889 Date_of_death = Jul2018 Forecast = 3.8333 Date_of_death = Jul2018 Forecast = 3.8333 Date_of_death = Jun2018 Forecast = 3.5000 Date_of_death = Jun2018 Forecast = 3.5000 Date_of_death = May2018 Forecast = 2.8889 Date_of_death = May2018 Forecast = 2.8889 Date_of_death = Apr2018 Forecast = 2.3333 Date_of_death = Apr2018 Forecast = 2.3333 Date_of_death = Mar2018 Forecast = 3.8889 Date_of_death = Mar2018 Forecast = 3.8889 Date_of_death = Feb2018 Forecast = 3.1667 Date_of_death = Feb2018 Forecast = 3.1667 Date_of_death = Jan2018 Forecast = 3.0000 Date_of_death = Jan2018 Forecast = 3.0000 Date_of_death = Dec2017 Forecast = 3.5882 Date_of_death = Dec2017 Forecast = 3.5882 Date_of_death = Nov2017 Forecast = 2.8235 Date_of_death = Nov2017 Forecast = 2.8235 Date_of_death = Oct2017 Forecast = 3.7647 Date_of_death = Oct2017 Forecast = 3.7647 Date_of_death = Sep2017 Forecast = 2.7647 Date_of_death = Sep2017 Forecast = 2.7647 Date_of_death = Aug2017 Forecast = 3.0000 Date_of_death = Aug2017 Forecast = 3.0000 Date_of_death = Jul2017 Forecast = 3.8235 Date_of_death = Jul2017 Forecast = 3.8235 Date_of_death = Jun2017 Forecast = 3.5294 Date_of_death = Jun2017 Forecast = 3.5294 Date_of_death = May2017 Forecast = 2.7647 Date_of_death = May2017 Forecast = 2.7647 Date_of_death = Apr2017 Forecast = 2.3529 Date_of_death = Apr2017 Forecast = 2.3529 Date_of_death = Mar2017 Forecast = 3.9412 Date_of_death = Mar2017 Forecast = 3.9412 Date_of_death = Feb2017 Forecast = 3.0000 Date_of_death = Feb2017 Forecast = 3.0000 Date_of_death = Jan2017 Forecast = 3.0588 Date_of_death = Jan2017 Forecast = 3.0588 Date_of_death = Dec2016 Forecast = 3.7500 Date_of_death = Dec2016 Forecast = 3.7500 Date_of_death = Nov2016 Forecast = 2.9375 Date_of_death = Nov2016 Forecast = 2.9375 Date_of_death = Oct2016 Forecast = 3.9375 Date_of_death = Oct2016 Forecast = 3.9375 Date_of_death = Sep2016 Forecast = 2.7500 Date_of_death = Sep2016 Forecast = 2.7500 Date_of_death = Aug2016 Forecast = 2.9375 Date_of_death = Aug2016 Forecast = 2.9375 Date_of_death = Jul2016 Forecast = 3.9375 Date_of_death = Jul2016 Forecast = 3.9375 Date_of_death = Jun2016 Forecast = 3.6250 Date_of_death = Jun2016 Forecast = 3.6250 Date_of_death = May2016 Forecast = 2.6875 Date_of_death = May2016 Forecast = 2.6875 Date_of_death = Apr2016 Forecast = 2.3750 Date_of_death = Apr2016 Forecast = 2.3750 Date_of_death = Mar2016 Forecast = 4.0000 Date_of_death = Mar2016 Forecast = 4.0000 Date_of_death = Feb2016 Forecast = 2.9375 Date_of_death = Feb2016 Forecast = 2.9375 Date_of_death = Jan2016 Forecast = 3.1250 Date_of_death = Jan2016 Forecast = 3.1250 Date_of_death = Dec2015 Forecast = 3.8000 Date_of_death = Dec2015 Forecast = 3.8000 Date_of_death = Nov2015 Forecast = 3.0667 Date_of_death = Nov2015 Forecast = 3.0667 Date_of_death = Oct2015 Forecast = 3.8000 Date_of_death = Oct2015 Forecast = 3.8000 Date_of_death = Sep2015 Forecast = 2.5333 Date_of_death = Sep2015 Forecast = 2.5333 Date_of_death = Aug2015 Forecast = 3.0000 Date_of_death = Aug2015 Forecast = 3.0000 Date_of_death = Jul2015 Forecast = 4.0000 Date_of_death = Jul2015 Forecast = 4.0000 Date_of_death = Jun2015 Forecast = 3.8000 Date_of_death = Jun2015 Forecast = 3.8000 Date_of_death = May2015 Forecast = 2.8000 Date_of_death = May2015 Forecast = 2.8000 Date_of_death = Apr2015 Forecast = 2.3333 Date_of_death = Apr2015 Forecast = 2.3333 Date_of_death = Mar2015 Forecast = 4.0667 Date_of_death = Mar2015 Forecast = 4.0667 Date_of_death = Feb2015 Forecast = 3.0667 Date_of_death = Feb2015 Forecast = 3.0667 Date_of_death = Jan2015 Forecast = 3.0667 Date_of_death = Jan2015 Forecast = 3.0667 Date_of_death = Dec2014 Forecast = 3.8571 Date_of_death = Dec2014 Forecast = 3.8571 Date_of_death = Nov2014 Forecast = 2.8571 Date_of_death = Nov2014 Forecast = 2.8571 Date_of_death = Oct2014 Forecast = 3.9286 Date_of_death = Oct2014 Forecast = 3.9286 Date_of_death = Sep2014 Forecast = 2.6429 Date_of_death = Sep2014 Forecast = 2.6429 Date_of_death = Aug2014 Forecast = 3.0000 Date_of_death = Aug2014 Forecast = 3.0000 Date_of_death = Jul2014 Forecast = 4.1429 Date_of_death = Jul2014 Forecast = 4.1429 Date_of_death = Jun2014 Forecast = 3.6429 Date_of_death = Jun2014 Forecast = 3.6429 Date_of_death = May2014 Forecast = 2.5714 Date_of_death = May2014 Forecast = 2.5714 Date_of_death = Apr2014 Forecast = 2.3571 Date_of_death = Apr2014 Forecast = 2.3571 Date_of_death = Mar2014 Forecast = 3.9286 Date_of_death = Mar2014 Forecast = 3.9286 Date_of_death = Feb2014 Forecast = 3.0714 Date_of_death = Feb2014 Forecast = 3.0714 Date_of_death = Jan2014 Forecast = 3.2143 Date_of_death = Jan2014 Forecast = 3.2143 Date_of_death = Dec2013 Forecast = 4.0769 Date_of_death = Dec2013 Forecast = 4.0769 Date_of_death = Nov2013 Forecast = 3.0000 Date_of_death = Nov2013 Forecast = 3.0000 Date_of_death = Oct2013 Forecast = 3.7692 Date_of_death = Oct2013 Forecast = 3.7692 Date_of_death = Sep2013 Forecast = 2.6154 Date_of_death = Sep2013 Forecast = 2.6154 Date_of_death = Aug2013 Forecast = 2.9231 Date_of_death = Aug2013 Forecast = 2.9231 Date_of_death = Jul2013 Forecast = 4.0769 Date_of_death = Jul2013 Forecast = 4.0769 Date_of_death = Jun2013 Forecast = 3.7692 Date_of_death = Jun2013 Forecast = 3.7692 Date_of_death = May2013 Forecast = 2.3077 Date_of_death = May2013 Forecast = 2.3077 Date_of_death = Apr2013 Forecast = 2.2308 Date_of_death = Apr2013 Forecast = 2.2308 Date_of_death = Mar2013 Forecast = 3.9231 Date_of_death = Mar2013 Forecast = 3.9231 Date_of_death = Feb2013 Forecast = 3.2308 Date_of_death = Feb2013 Forecast = 3.2308 Date_of_death = Jan2013 Forecast = 3.0769 Date_of_death = Jan2013 Forecast = 3.0769 Date_of_death = Dec2012 Forecast = 3.9167 Date_of_death = Dec2012 Forecast = 3.9167 Date_of_death = Nov2012 Forecast = 2.7500 Date_of_death = Nov2012 Forecast = 2.7500 Date_of_death = Oct2012 Forecast = 3.9167 Date_of_death = Oct2012 Forecast = 3.9167 Date_of_death = Sep2012 Forecast = 2.5000 Date_of_death = Sep2012 Forecast = 2.5000 Date_of_death = Aug2012 Forecast = 2.6667 Date_of_death = Aug2012 Forecast = 2.6667 Date_of_death = Jul2012 Forecast = 4.2500 Date_of_death = Jul2012 Forecast = 4.2500 Date_of_death = Jun2012 Forecast = 3.9167 Date_of_death = Jun2012 Forecast = 3.9167 Date_of_death = May2012 Forecast = 2.3333 Date_of_death = May2012 Forecast = 2.3333 Date_of_death = Apr2012 Forecast = 2.3333 Date_of_death = Apr2012 Forecast = 2.3333 Date_of_death = Mar2012 Forecast = 3.7500 Date_of_death = Mar2012 Forecast = 3.7500 Date_of_death = Feb2012 Forecast = 3.3333 Date_of_death = Feb2012 Forecast = 3.3333 Date_of_death = Jan2012 Forecast = 3.0833 Date_of_death = Jan2012 Forecast = 3.0833 Date_of_death = Dec2011 Forecast = 4.0909 Date_of_death = Dec2011 Forecast = 4.0909 Date_of_death = Nov2011 Forecast = 2.9091 Date_of_death = Nov2011 Forecast = 2.9091 Date_of_death = Oct2011 Forecast = 4.0909 Date_of_death = Oct2011 Forecast = 4.0909 Date_of_death = Sep2011 Forecast = 2.1818 Date_of_death = Sep2011 Forecast = 2.1818 Date_of_death = Aug2011 Forecast = 2.7273 Date_of_death = Aug2011 Forecast = 2.7273 Date_of_death = Jul2011 Forecast = 4.0909 Date_of_death = Jul2011 Forecast = 4.0909 Date_of_death = Jun2011 Forecast = 3.7273 Date_of_death = Jun2011 Forecast = 3.7273 Date_of_death = May2011 Forecast = 2.2727 Date_of_death = May2011 Forecast = 2.2727 Date_of_death = Apr2011 Forecast = 2.2727 Date_of_death = Apr2011 Forecast = 2.2727 Date_of_death = Mar2011 Forecast = 3.8182 Date_of_death = Mar2011 Forecast = 3.8182 Date_of_death = Feb2011 Forecast = 3.0909 Date_of_death = Feb2011 Forecast = 3.0909 Date_of_death = Jan2011 Forecast = 3.2727 Date_of_death = Jan2011 Forecast = 3.2727 Date_of_death = Dec2010 Forecast = 4.4000 Date_of_death = Dec2010 Forecast = 4.4000 Date_of_death = Nov2010 Forecast = 3.1000 Date_of_death = Nov2010 Forecast = 3.1000 Date_of_death = Oct2010 Forecast = 4.2000 Date_of_death = Oct2010 Forecast = 4.2000 Date_of_death = Sep2010 Forecast = 2.2000 Date_of_death = Sep2010 Forecast = 2.2000 Date_of_death = Aug2010 Forecast = 2.4000 Date_of_death = Aug2010 Forecast = 2.4000 Date_of_death = Jul2010 Forecast = 4.3000 Date_of_death = Jul2010 Forecast = 4.3000 Date_of_death = Jun2010 Forecast = 3.5000 Date_of_death = Jun2010 Forecast = 3.5000 Date_of_death = May2010 Forecast = 2.4000 Date_of_death = May2010 Forecast = 2.4000 Date_of_death = Apr2010 Forecast = 2.4000 Date_of_death = Apr2010 Forecast = 2.4000 Date_of_death = Mar2010 Forecast = 3.6000 Date_of_death = Mar2010 Forecast = 3.6000 Date_of_death = Feb2010 Forecast = 3.3000 Date_of_death = Feb2010 Forecast = 3.3000 Date_of_death = Jan2010 Forecast = 3.4000 Date_of_death = Jan2010 Forecast = 3.4000 Date_of_death = Dec2009 Forecast = 4.6667 Date_of_death = Dec2009 Forecast = 4.6667 Date_of_death = Nov2009 Forecast = 3.3333 Date_of_death = Nov2009 Forecast = 3.3333 Date_of_death = Oct2009 Forecast = 4.0000 Date_of_death = Oct2009 Forecast = 4.0000 Date_of_death = Sep2009 Forecast = 2.2222 Date_of_death = Sep2009 Forecast = 2.2222 Date_of_death = Aug2009 Forecast = 2.5556 Date_of_death = Aug2009 Forecast = 2.5556 Date_of_death = Jul2009 Forecast = 4.1111 Date_of_death = Jul2009 Forecast = 4.1111 Date_of_death = Jun2009 Forecast = 3.6667 Date_of_death = Jun2009 Forecast = 3.6667 Date_of_death = May2009 Forecast = 2.5556 Date_of_death = May2009 Forecast = 2.5556 Date_of_death = Apr2009 Forecast = 2.0000 Date_of_death = Apr2009 Forecast = 2.0000 Date_of_death = Mar2009 Forecast = 3.3333 Date_of_death = Mar2009 Forecast = 3.3333 Date_of_death = Feb2009 Forecast = 3.0000 Date_of_death = Feb2009 Forecast = 3.0000 Date_of_death = Jan2009 Forecast = 3.1111 Date_of_death = Jan2009 Forecast = 3.1111 Date_of_death = Dec2008 Forecast = 4.8750 Date_of_death = Dec2008 Forecast = 4.8750 Date_of_death = Nov2008 Forecast = 3.0000 Date_of_death = Nov2008 Forecast = 3.0000 Date_of_death = Oct2008 Forecast = 3.7500 Date_of_death = Oct2008 Forecast = 3.7500 Date_of_death = Sep2008 Forecast = 2.3750 Date_of_death = Sep2008 Forecast = 2.3750 Date_of_death = Aug2008 Forecast = 2.1250 Date_of_death = Aug2008 Forecast = 2.1250 Date_of_death = Jul2008 Forecast = 3.8750 Date_of_death = Jul2008 Forecast = 3.8750 Date_of_death = Jun2008 Forecast = 3.8750 Date_of_death = Jun2008 Forecast = 3.8750 Date_of_death = May2008 Forecast = 2.1250 Date_of_death = May2008 Forecast = 2.1250 Date_of_death = Apr2008 Forecast = 1.8750 Date_of_death = Apr2008 Forecast = 1.8750 Date_of_death = Mar2008 Forecast = 3.6250 Date_of_death = Mar2008 Forecast = 3.6250 Date_of_death = Feb2008 Forecast = 3.0000 Date_of_death = Feb2008 Forecast = 3.0000 Date_of_death = Jan2008 Forecast = 3.2500 Date_of_death = Jan2008 Forecast = 3.2500 Date_of_death = Dec2007 Forecast = 4.7143 Date_of_death = Dec2007 Forecast = 4.7143 Date_of_death = Nov2007 Forecast = 2.8571 Date_of_death = Nov2007 Forecast = 2.8571 Date_of_death = Oct2007 Forecast = 3.4286 Date_of_death = Oct2007 Forecast = 3.4286 Date_of_death = Sep2007 Forecast = 2.5714 Date_of_death = Sep2007 Forecast = 2.5714 Date_of_death = Aug2007 Forecast = 1.5714 Date_of_death = Aug2007 Forecast = 1.5714 Date_of_death = Jul2007 Forecast = 3.5714 Date_of_death = Jul2007 Forecast = 3.5714 Date_of_death = Jun2007 Forecast = 3.5714 Date_of_death = Jun2007 Forecast = 3.5714 Date_of_death = May2007 Forecast = 2.1429 Date_of_death = May2007 Forecast = 2.1429 Date_of_death = Apr2007 Forecast = 1.8571 Date_of_death = Apr2007 Forecast = 1.8571 Date_of_death = Mar2007 Forecast = 3.2857 Date_of_death = Mar2007 Forecast = 3.2857 Date_of_death = Feb2007 Forecast = 2.5714 Date_of_death = Feb2007 Forecast = 2.5714 Date_of_death = Jan2007 Forecast = 2.8571 Date_of_death = Jan2007 Forecast = 2.8571 Date_of_death = Dec2006 Forecast = 4.5000 Date_of_death = Dec2006 Forecast = 4.5000 Date_of_death = Nov2006 Forecast = 3.0000 Date_of_death = Nov2006 Forecast = 3.0000 Date_of_death = Oct2006 Forecast = 3.8333 Date_of_death = Oct2006 Forecast = 3.8333 Date_of_death = Sep2006 Forecast = 2.6667 Date_of_death = Sep2006 Forecast = 2.6667 Date_of_death = Aug2006 Forecast = 1.6667 Date_of_death = Aug2006 Forecast = 1.6667 Date_of_death = Jul2006 Forecast = 3.8333 Date_of_death = Jul2006 Forecast = 3.8333 Date_of_death = Jun2006 Forecast = 4.0000 Date_of_death = Jun2006 Forecast = 4.0000 Date_of_death = May2006 Forecast = 2.3333 Date_of_death = May2006 Forecast = 2.3333 Date_of_death = Apr2006 Forecast = 1.8333 Date_of_death = Apr2006 Forecast = 1.8333 Date_of_death = Mar2006 Forecast = 3.5000 Date_of_death = Mar2006 Forecast = 3.5000 Date_of_death = Feb2006 Forecast = 2.8333 Date_of_death = Feb2006 Forecast = 2.8333 Date_of_death = Jan2006 Forecast = 3.1667 Date_of_death = Jan2006 Forecast = 3.1667 Date_of_death = Dec2005 Forecast = 5.2000 Date_of_death = Dec2005 Forecast = 5.2000 Date_of_death = Nov2005 Forecast = 3.4000 Date_of_death = Nov2005 Forecast = 3.4000 Date_of_death = Oct2005 Forecast = 4.2000 Date_of_death = Oct2005 Forecast = 4.2000 Date_of_death = Sep2005 Forecast = 3.0000 Date_of_death = Sep2005 Forecast = 3.0000 Date_of_death = Aug2005 Forecast = 1.8000 Date_of_death = Aug2005 Forecast = 1.8000 Date_of_death = Jul2005 Forecast = 4.2000 Date_of_death = Jul2005 Forecast = 4.2000 Date_of_death = Jun2005 Forecast = 4.4000 Date_of_death = Jun2005 Forecast = 4.4000 Date_of_death = May2005 Forecast = 2.6000 Date_of_death = May2005 Forecast = 2.6000 Date_of_death = Apr2005 Forecast = 2.0000 Date_of_death = Apr2005 Forecast = 2.0000 Date_of_death = Mar2005 Forecast = 3.0000 Date_of_death = Mar2005 Forecast = 3.0000 Date_of_death = Feb2005 Forecast = 3.2000 Date_of_death = Feb2005 Forecast = 3.2000 Date_of_death = Jan2005 Forecast = 3.6000 Date_of_death = Jan2005 Forecast = 3.6000 Date_of_death = Dec2004 Forecast = 5.0000 Date_of_death = Dec2004 Forecast = 5.0000 Date_of_death = Nov2004 Forecast = 3.5000 Date_of_death = Nov2004 Forecast = 3.5000 Date_of_death = Oct2004 Forecast = 3.7500 Date_of_death = Oct2004 Forecast = 3.7500 Date_of_death = Sep2004 Forecast = 3.5000 Date_of_death = Sep2004 Forecast = 3.5000 Date_of_death = Aug2004 Forecast = 1.7500 Date_of_death = Aug2004 Forecast = 1.7500 Date_of_death = Jul2004 Forecast = 5.0000 Date_of_death = Jul2004 Forecast = 5.0000 Date_of_death = Jun2004 Forecast = 4.0000 Date_of_death = Jun2004 Forecast = 4.0000 Date_of_death = May2004 Forecast = 2.5000 Date_of_death = May2004 Forecast = 2.5000 Date_of_death = Apr2004 Forecast = 1.2500 Date_of_death = Apr2004 Forecast = 1.2500 Date_of_death = Mar2004 Forecast = 3.0000 Date_of_death = Mar2004 Forecast = 3.0000 Date_of_death = Feb2004 Forecast = 3.7500 Date_of_death = Feb2004 Forecast = 3.7500 Date_of_death = Jan2004 Forecast = 4.2500 Date_of_death = Jan2004 Forecast = 4.2500 Date_of_death = Dec2003 Forecast = 4.6667 Date_of_death = Dec2003 Forecast = 4.6667 Date_of_death = Nov2003 Forecast = 2.6667 Date_of_death = Nov2003 Forecast = 2.6667 Date_of_death = Oct2003 Forecast = 3.0000 Date_of_death = Oct2003 Forecast = 3.0000 Date_of_death = Sep2003 Forecast = 2.6667 Date_of_death = Sep2003 Forecast = 2.6667 Date_of_death = Aug2003 Forecast = 1.3333 Date_of_death = Aug2003 Forecast = 1.3333 Date_of_death = Jul2003 Forecast = 4.6667 Date_of_death = Jul2003 Forecast = 4.6667 Date_of_death = Jun2003 Forecast = 5.0000 Date_of_death = Jun2003 Forecast = 5.0000 Date_of_death = May2003 Forecast = 3.0000 Date_of_death = May2003 Forecast = 3.0000 Date_of_death = Apr2003 Forecast = 1.0000 Date_of_death = Apr2003 Forecast = 1.0000 Date_of_death = Mar2003 Forecast = 3.3333 Date_of_death = Mar2003 Forecast = 3.3333 Date_of_death = Feb2003 Forecast = 4.3333 Date_of_death = Feb2003 Forecast = 4.3333 Date_of_death = Jan2003 Forecast = 3.6667 Date_of_death = Jan2003 Forecast = 3.6667 Date_of_death = Dec2002 Forecast = 4.0000 Date_of_death = Dec2002 Forecast = 4.0000 Date_of_death = Nov2002 Forecast = 3.5000 Date_of_death = Nov2002 Forecast = 3.5000 Date_of_death = Oct2002 Forecast = 3.5000 Date_of_death = Oct2002 Forecast = 3.5000 Date_of_death = Sep2002 Forecast = 3.5000 Date_of_death = Sep2002 Forecast = 3.5000 Date_of_death = Aug2002 Forecast = 1.5000 Date_of_death = Aug2002 Forecast = 1.5000 Date_of_death = Jul2002 Forecast = 4.0000 Date_of_death = Jul2002 Forecast = 4.0000 Date_of_death = Jun2002 Forecast = 4.5000 Date_of_death = Jun2002 Forecast = 4.5000 Date_of_death = May2002 Forecast = 3.5000 Date_of_death = May2002 Forecast = 3.5000 Date_of_death = Apr2002 Forecast = 1.0000 Date_of_death = Apr2002 Forecast = 1.0000 Date_of_death = Mar2002 Forecast = 4.5000 Date_of_death = Mar2002 Forecast = 4.5000 Date_of_death = Feb2002 Forecast = 3.5000 Date_of_death = Feb2002 Forecast = 3.5000 Date_of_death = Jan2002 Forecast = 5.0000 Date_of_death = Jan2002 Forecast = 5.0000 Date_of_death = Dec2001 Forecast = 6.0000 Date_of_death = Dec2001 Forecast = 6.0000 Date_of_death = Nov2001 Forecast = 6.0000 Date_of_death = Nov2001 Forecast = 6.0000 Date_of_death = Oct2001 Forecast = 1.0000 Date_of_death = Oct2001 Forecast = 1.0000 Date_of_death = Sep2001 Forecast = 6.0000 Date_of_death = Sep2001 Forecast = 6.0000 Date_of_death = Aug2001 Forecast = 1.0000 Date_of_death = Aug2001 Forecast = 1.0000 Date_of_death = Jul2001 Forecast = 2.0000 Date_of_death = Jul2001 Forecast = 2.0000 Date_of_death = Jun2001 Forecast = 6.0000 Date_of_death = Jun2001 Forecast = 6.0000 Date_of_death = May2001 Forecast = 6.0000 Date_of_death = May2001 Forecast = 6.0000 Date_of_death = Apr2001 Forecast = 1.0000 Date_of_death = Apr2001 Forecast = 1.0000 Date_of_death = Mar2001 Forecast = 6.0000 Date_of_death = Mar2001 Forecast = 6.0000 Date_of_death = Feb2001 Forecast = 6.0000 Date_of_death = Feb2001 Forecast = 6.0000 Date_of_death = Jan2001 Forecast = 4.0000 Date_of_death = Sep2019 incidents = 2.0000 Date_of_death = Aug2019 incidents = 1.0000 Date_of_death = Jul2019 incidents = 6.0000 Date_of_death = Jun2019 incidents = 6.0000 Date_of_death = May2019 incidents = 3.0000 Date_of_death = Apr2019 incidents = 3.0000 Date_of_death = Mar2019 incidents = 3.0000 Date_of_death = Feb2019 incidents = 6.0000 Date_of_death = Jan2019 incidents = 3.0000 Date_of_death = Dec2018 incidents = 5.0000 Date_of_death = Nov2018 incidents = 3.0000 Date_of_death = Oct2018 incidents = 2.0000 Date_of_death = Sep2018 incidents = 2.0000 Date_of_death = Aug2018 incidents = 3.0000 Date_of_death = Jul2018 incidents = 3.0000 Date_of_death = Jun2018 incidents = 4.0000 Date_of_death = May2018 incidents = 3.0000 Date_of_death = Apr2018 incidents = 2.0000 Date_of_death = Mar2018 incidents = 6.0000 Date_of_death = Feb2018 incidents = 5.0000 Date_of_death = Jan2018 incidents = 1.0000 Date_of_death = Dec2017 incidents = 2.0000 Date_of_death = Nov2017 incidents = 3.0000 Date_of_death = Oct2017 incidents = 2.0000 Date_of_death = Sep2017 incidents = 3.0000 Date_of_death = Aug2017 incidents = 1.0000 Date_of_death = Jul2017 incidents = 4.0000 Date_of_death = Jun2017 incidents = 3.0000 Date_of_death = May2017 incidents = 5.0000 Date_of_death = Apr2017 incidents = 2.0000 Date_of_death = Mar2017 incidents = 3.0000 Date_of_death = Feb2017 incidents = 6.0000 Date_of_death = Jan2017 incidents = 2.0000 Date_of_death = Dec2016 incidents = 1.0000 Date_of_death = Nov2016 incidents = 1.0000 Date_of_death = Oct2016 incidents = 1.0000 Date_of_death = Sep2016 incidents = 3.0000 Date_of_death = Aug2016 incidents = 4.0000 Date_of_death = Jul2016 incidents = 2.0000 Date_of_death = Jun2016 incidents = 2.0000 Date_of_death = May2016 incidents = 4.0000 Date_of_death = Apr2016 incidents = 2.0000 Date_of_death = Mar2016 incidents = 3.0000 Date_of_death = Feb2016 incidents = 4.0000 Date_of_death = Jan2016 incidents = 2.0000 Date_of_death = Dec2015 incidents = 3.0000 Date_of_death = Nov2015 incidents = 1.0000 Date_of_death = Oct2015 incidents = 6.0000 Date_of_death = Sep2015 incidents = 6.0000 Date_of_death = Aug2015 incidents = 2.0000 Date_of_death = Jul2015 incidents = 3.0000 Date_of_death = Jun2015 incidents = 1.0000 Date_of_death = May2015 incidents = 1.0000 Date_of_death = Apr2015 incidents = 3.0000 Date_of_death = Mar2015 incidents = 3.0000 Date_of_death = Feb2015 incidents = 1.0000 Date_of_death = Jan2015 incidents = 4.0000 Date_of_death = Dec2014 incidents = 3.0000 Date_of_death = Nov2014 incidents = 6.0000 Date_of_death = Oct2014 incidents = 2.0000 Date_of_death = Sep2014 incidents = 1.0000 Date_of_death = Aug2014 incidents = 3.0000 Date_of_death = Jul2014 incidents = 2.0000 Date_of_death = Jun2014 incidents = 6.0000 Date_of_death = May2014 incidents = 6.0000 Date_of_death = Apr2014 incidents = 2.0000 Date_of_death = Mar2014 incidents = 6.0000 Date_of_death = Feb2014 incidents = 3.0000 Date_of_death = Jan2014 incidents = 1.0000 Date_of_death = Dec2013 incidents = 1.0000 Date_of_death = Nov2013 incidents = 1.0000 Date_of_death = Oct2013 incidents = 6.0000 Date_of_death = Sep2013 incidents = 3.0000 Date_of_death = Aug2013 incidents = 4.0000 Date_of_death = Jul2013 incidents = 5.0000 Date_of_death = Jun2013 incidents = 2.0000 Date_of_death = May2013 incidents = 6.0000 Date_of_death = Apr2013 incidents = 4.0000 Date_of_death = Mar2013 incidents = 4.0000 Date_of_death = Feb2013 incidents = 1.0000 Date_of_death = Jan2013 incidents = 5.0000 Date_of_death = Dec2012 incidents = 6.0000 Date_of_death = Nov2012 incidents = 6.0000 Date_of_death = Oct2012 incidents = 2.0000 Date_of_death = Sep2012 incidents = 4.0000 Date_of_death = Aug2012 incidents = 6.0000 Date_of_death = Jul2012 incidents = 2.0000 Date_of_death = Jun2012 incidents = 2.0000 Date_of_death = May2012 incidents = 2.0000 Date_of_death = Apr2012 incidents = 1.0000 Date_of_death = Mar2012 incidents = 6.0000 Date_of_death = Feb2012 incidents = 2.0000 Date_of_death = Jan2012 incidents = 3.0000 Date_of_death = Dec2011 incidents = 2.0000 Date_of_death = Nov2011 incidents = 1.0000 Date_of_death = Oct2011 incidents = 2.0000 Date_of_death = Sep2011 incidents = 6.0000 Date_of_death = Aug2011 incidents = 2.0000 Date_of_death = Jul2011 incidents = 6.0000 Date_of_death = Jun2011 incidents = 6.0000 Date_of_death = May2011 incidents = 3.0000 Date_of_death = Apr2011 incidents = 3.0000 Date_of_death = Mar2011 incidents = 3.0000 Date_of_death = Feb2011 incidents = 6.0000 Date_of_death = Jan2011 incidents = 1.0000 Date_of_death = Dec2010 incidents = 1.0000 Date_of_death = Nov2010 incidents = 1.0000 Date_of_death = Oct2010 incidents = 3.0000 Date_of_death = Sep2010 incidents = 2.0000 Date_of_death = Aug2010 incidents = 6.0000 Date_of_death = Jul2010 incidents = 2.0000 Date_of_death = Jun2010 incidents = 6.0000 Date_of_death = May2010 incidents = 1.0000 Date_of_death = Apr2010 incidents = 1.0000 Date_of_death = Mar2010 incidents = 6.0000 Date_of_death = Feb2010 incidents = 1.0000 Date_of_death = Jan2010 incidents = 2.0000 Date_of_death = Dec2009 incidents = 2.0000 Date_of_death = Nov2009 incidents = 1.0000 Date_of_death = Oct2009 incidents = 6.0000 Date_of_death = Sep2009 incidents = 2.0000 Date_of_death = Aug2009 incidents = 1.0000 Date_of_death = Jul2009 incidents = 6.0000 Date_of_death = Jun2009 incidents = 2.0000 Date_of_death = May2009 incidents = 1.0000 Date_of_death = Apr2009 incidents = 6.0000 Date_of_death = Mar2009 incidents = 6.0000 Date_of_death = Feb2009 incidents = 6.0000 Date_of_death = Jan2009 incidents = 6.0000 Date_of_death = Dec2008 incidents = 3.0000 Date_of_death = Nov2008 incidents = 6.0000 Date_of_death = Oct2008 incidents = 6.0000 Date_of_death = Sep2008 incidents = 1.0000 Date_of_death = Aug2008 incidents = 6.0000 Date_of_death = Jul2008 incidents = 6.0000 Date_of_death = Jun2008 incidents = 2.0000 Date_of_death = May2008 incidents = 6.0000 Date_of_death = Apr2008 incidents = 3.0000 Date_of_death = Mar2008 incidents = 1.0000 Date_of_death = Feb2008 incidents = 3.0000 Date_of_death = Jan2008 incidents = 2.0000 Date_of_death = Dec2007 incidents = 6.0000 Date_of_death = Nov2007 incidents = 4.0000 Date_of_death = Oct2007 incidents = 6.0000 Date_of_death = Sep2007 incidents = 1.0000 Date_of_death = Aug2007 incidents = 6.0000 Date_of_death = Jul2007 incidents = 6.0000 Date_of_death = Jun2007 incidents = 6.0000 Date_of_death = May2007 incidents = 2.0000 Date_of_death = Apr2007 incidents = 2.0000 Date_of_death = Mar2007 incidents = 6.0000 Date_of_death = Feb2007 incidents = 6.0000 Date_of_death = Jan2007 incidents = 6.0000 Date_of_death = Dec2006 incidents = 6.0000 Date_of_death = Nov2006 incidents = 2.0000 Date_of_death = Oct2006 incidents = 1.0000 Date_of_death = Sep2006 incidents = 2.0000 Date_of_death = Aug2006 incidents = 1.0000 Date_of_death = Jul2006 incidents = 2.0000 Date_of_death = Jun2006 incidents = 1.0000 Date_of_death = May2006 incidents = 1.0000 Date_of_death = Apr2006 incidents = 2.0000 Date_of_death = Mar2006 incidents = 2.0000 Date_of_death = Feb2006 incidents = 1.0000 Date_of_death = Jan2006 incidents = 1.0000 Date_of_death = Dec2005 incidents = 1.0000 Date_of_death = Nov2005 incidents = 1.0000 Date_of_death = Oct2005 incidents = 2.0000 Date_of_death = Sep2005 incidents = 1.0000 Date_of_death = Aug2005 incidents = 1.0000 Date_of_death = Jul2005 incidents = 2.0000 Date_of_death = Jun2005 incidents = 2.0000 Date_of_death = May2005 incidents = 1.0000 Date_of_death = Apr2005 incidents = 1.0000 Date_of_death = Mar2005 incidents = 6.0000 Date_of_death = Feb2005 incidents = 1.0000 Date_of_death = Jan2005 incidents = 1.0000 Date_of_death = Dec2004 incidents = 6.0000 Date_of_death = Nov2004 incidents = 3.0000 Date_of_death = Oct2004 incidents = 6.0000 Date_of_death = Sep2004 incidents = 1.0000 Date_of_death = Aug2004 incidents = 2.0000 Date_of_death = Jul2004 incidents = 1.0000 Date_of_death = Jun2004 incidents = 6.0000 Date_of_death = May2004 incidents = 3.0000 Date_of_death = Apr2004 incidents = 5.0000 Date_of_death = Mar2004 incidents = 3.0000 Date_of_death = Feb2004 incidents = 1.0000 Date_of_death = Jan2004 incidents = 1.0000 Date_of_death = Dec2003 incidents = 6.0000 Date_of_death = Nov2003 incidents = 6.0000 Date_of_death = Oct2003 incidents = 6.0000 Date_of_death = Sep2003 incidents = 6.0000 Date_of_death = Aug2003 incidents = 3.0000 Date_of_death = Jul2003 incidents = 6.0000 Date_of_death = Jun2003 incidents = 1.0000 Date_of_death = May2003 incidents = 1.0000 Date_of_death = Apr2003 incidents = 2.0000 Date_of_death = Mar2003 incidents = 2.0000 Date_of_death = Feb2003 incidents = 2.0000 Date_of_death = Jan2003 incidents = 6.0000 Date_of_death = Dec2002 incidents = 6.0000 Date_of_death = Nov2002 incidents = 1.0000 Date_of_death = Oct2002 incidents = 2.0000 Date_of_death = Sep2002 incidents = 1.0000 Date_of_death = Aug2002 incidents = 1.0000 Date_of_death = Jul2002 incidents = 6.0000 Date_of_death = Jun2002 incidents = 6.0000 Date_of_death = May2002 incidents = 2.0000 Date_of_death = Apr2002 incidents = 1.0000 Date_of_death = Mar2002 incidents = 1.0000 Date_of_death = Feb2002 incidents = 6.0000 Date_of_death = Jan2002 incidents = 1.0000 Date_of_death = Dec2001 incidents = 2.0000 Date_of_death = Nov2001 incidents = 1.0000 Date_of_death = Oct2001 incidents = 6.0000 Date_of_death = Sep2001 incidents = 1.0000 Date_of_death = Aug2001 incidents = 2.0000 Date_of_death = Jul2001 incidents = 6.0000 Date_of_death = Jun2001 incidents = 3.0000 Date_of_death = May2001 incidents = 1.0000 Date_of_death = Apr2001 incidents = 1.0000 Date_of_death = Mar2001 incidents = 3.0000 Date_of_death = Feb2001 incidents = 1.0000 Date_of_death = Jan2001 incidents = 6.0000 Date_of_death = Sep2020 Upper 95% = 6.6751 Lower 95% = -1.2751 Date_of_death = Aug2020 Upper 95% = 6.7751 Lower 95% = -1.1751 Date_of_death = Aug2020 Upper 95% = 6.7751 Lower 95% = -1.1751 Date_of_death = Jul2020 Upper 95% = 7.8751 Lower 95% = -0.0751 Date_of_death = Jul2020 Upper 95% = 7.8751 Lower 95% = -0.0751 Date_of_death = Jun2020 Upper 95% = 7.6251 Lower 95% = -0.3251 Date_of_death = Jun2020 Upper 95% = 7.6251 Lower 95% = -0.3251 Date_of_death = May2020 Upper 95% = 6.8751 Lower 95% = -1.0751 Date_of_death = May2020 Upper 95% = 6.8751 Lower 95% = -1.0751 Date_of_death = Apr2020 Upper 95% = 6.3251 Lower 95% = -1.6251 Date_of_death = Apr2020 Upper 95% = 6.3251 Lower 95% = -1.6251 Date_of_death = Mar2020 Upper 95% = 7.9251 Lower 95% = -0.0251 Date_of_death = Mar2020 Upper 95% = 7.9251 Lower 95% = -0.0251 Date_of_death = Feb2020 Upper 95% = 7.3751 Lower 95% = -0.5751 Date_of_death = Feb2020 Upper 95% = 7.3751 Lower 95% = -0.5751 Date_of_death = Jan2020 Upper 95% = 6.8751 Lower 95% = -1.0751 Date_of_death = Jan2020 Upper 95% = 6.8751 Lower 95% = -1.0751 Date_of_death = Dec2019 Upper 95% = 7.5590 Lower 95% = -0.4011 Date_of_death = Dec2019 Upper 95% = 7.5590 Lower 95% = -0.4011 Date_of_death = Nov2019 Upper 95% = 6.8222 Lower 95% = -1.1380 Date_of_death = Nov2019 Upper 95% = 6.8222 Lower 95% = -1.1380 Date_of_death = Oct2019 Upper 95% = 7.5590 Lower 95% = -0.4011
Forecast Plot

County=Miami-Dade

Series Span Summary

Estimation Span

County=Miami-Dade

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.74153 1.38876

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.74153 1.38876

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.53638
Level Error Variance 0.57614
Season Error Variance 1.91055

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -412.8
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 831.62
BIC (smaller is better) 841.85
AICC (smaller is better) 831.73
HQIC (smaller is better) 835.75
CAIC (smaller is better) 844.85
Likelihood Optimization Algorithm Converged in 5 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 1.82591 0.19266 9.48 <.0001
Level Error Variance 0.00058777 0.0008149 0.72 0.4707
Season Error Variance 0.01887 0.01838 1.03 0.3044

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 2.31705
Root Mean Squared Error 1.52219
Mean Absolute Percentage Error 83.43059
Maximum Percent Error 75.01162
R-Square -0.20783
Adjusted R-Square -0.21876
Random Walk R-Square 0.42900
Amemiya's Adjusted R-Square -0.24062

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 10.51 0.0012
Level 1 204.51 <.0001
Season 11 5.40 0.9103

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.579651288 0.1803846

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.01887

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 4.8287 Percent = 0.0192 Prediction Error = 4.7819 Percent = 0.0228 Prediction Error = 4.7819 Percent = 0.0228 Prediction Error = 4.735 Percent = 0.0269 Prediction Error = 4.735 Percent = 0.0269 Prediction Error = 4.6881 Percent = 0.0317 Prediction Error = 4.6881 Percent = 0.0317 Prediction Error = 4.6412 Percent = 0.0372 Prediction Error = 4.6412 Percent = 0.0372 Prediction Error = 4.5943 Percent = 0.0434 Prediction Error = 4.5943 Percent = 0.0434 Prediction Error = 4.5475 Percent = 0.0506 Prediction Error = 4.5475 Percent = 0.0506 Prediction Error = 4.5006 Percent = 0.0587 Prediction Error = 4.5006 Percent = 0.0587 Prediction Error = 4.4537 Percent = 0.0679 Prediction Error = 4.4537 Percent = 0.0679 Prediction Error = 4.4068 Percent = 0.0783 Prediction Error = 4.4068 Percent = 0.0783 Prediction Error = 4.3599 Percent = 0.0901 Prediction Error = 4.3599 Percent = 0.0901 Prediction Error = 4.3131 Percent = 0.1032 Prediction Error = 4.3131 Percent = 0.1032 Prediction Error = 4.2662 Percent = 0.1179 Prediction Error = 4.2662 Percent = 0.1179 Prediction Error = 4.2193 Percent = 0.1344 Prediction Error = 4.2193 Percent = 0.1344 Prediction Error = 4.1724 Percent = 0.1526 Prediction Error = 4.1724 Percent = 0.1526 Prediction Error = 4.1256 Percent = 0.1729 Prediction Error = 4.1256 Percent = 0.1729 Prediction Error = 4.0787 Percent = 0.1954 Prediction Error = 4.0787 Percent = 0.1954 Prediction Error = 4.0318 Percent = 0.2203 Prediction Error = 4.0318 Percent = 0.2203 Prediction Error = 3.9849 Percent = 0.2477 Prediction Error = 3.9849 Percent = 0.2477 Prediction Error = 3.938 Percent = 0.2779 Prediction Error = 3.938 Percent = 0.2779 Prediction Error = 3.8912 Percent = 0.3111 Prediction Error = 3.8912 Percent = 0.3111 Prediction Error = 3.8443 Percent = 0.3476 Prediction Error = 3.8443 Percent = 0.3476 Prediction Error = 3.7974 Percent = 0.3876 Prediction Error = 3.7974 Percent = 0.3876 Prediction Error = 3.7505 Percent = 0.4314 Prediction Error = 3.7505 Percent = 0.4314 Prediction Error = 3.7036 Percent = 0.4793 Prediction Error = 3.7036 Percent = 0.4793 Prediction Error = 3.6568 Percent = 0.5317 Prediction Error = 3.6568 Percent = 0.5317 Prediction Error = 3.6099 Percent = 0.5889 Prediction Error = 3.6099 Percent = 0.5889 Prediction Error = 3.563 Percent = 0.6513 Prediction Error = 3.563 Percent = 0.6513 Prediction Error = 3.5161 Percent = 0.7194 Prediction Error = 3.5161 Percent = 0.7194 Prediction Error = 3.4693 Percent = 0.7936 Prediction Error = 3.4693 Percent = 0.7936 Prediction Error = 3.4224 Percent = 0.8743 Prediction Error = 3.4224 Percent = 0.8743 Prediction Error = 3.3755 Percent = 0.9623 Prediction Error = 3.3755 Percent = 0.9623 Prediction Error = 3.3286 Percent = 1.0579 Prediction Error = 3.3286 Percent = 1.0579 Prediction Error = 3.2817 Percent = 1.1618 Prediction Error = 3.2817 Percent = 1.1618 Prediction Error = 3.2349 Percent = 1.2745 Prediction Error = 3.2349 Percent = 1.2745 Prediction Error = 3.188 Percent = 1.3968 Prediction Error = 3.188 Percent = 1.3968 Prediction Error = 3.1411 Percent = 1.5292 Prediction Error = 3.1411 Percent = 1.5292 Prediction Error = 3.0942 Percent = 1.6724 Prediction Error = 3.0942 Percent = 1.6724 Prediction Error = 3.0473 Percent = 1.827 Prediction Error = 3.0473 Percent = 1.827 Prediction Error = 3.0005 Percent = 1.9938 Prediction Error = 3.0005 Percent = 1.9938 Prediction Error = 2.9536 Percent = 2.1732 Prediction Error = 2.9536 Percent = 2.1732 Prediction Error = 2.9067 Percent = 2.3659 Prediction Error = 2.9067 Percent = 2.3659 Prediction Error = 2.8598 Percent = 2.5724 Prediction Error = 2.8598 Percent = 2.5724 Prediction Error = 2.813 Percent = 2.7932 Prediction Error = 2.813 Percent = 2.7932 Prediction Error = 2.7661 Percent = 3.0286 Prediction Error = 2.7661 Percent = 3.0286 Prediction Error = 2.7192 Percent = 3.279 Prediction Error = 2.7192 Percent = 3.279 Prediction Error = 2.6723 Percent = 3.5445 Prediction Error = 2.6723 Percent = 3.5445 Prediction Error = 2.6254 Percent = 3.8252 Prediction Error = 2.6254 Percent = 3.8252 Prediction Error = 2.5786 Percent = 4.1211 Prediction Error = 2.5786 Percent = 4.1211 Prediction Error = 2.5317 Percent = 4.4318 Prediction Error = 2.5317 Percent = 4.4318 Prediction Error = 2.4848 Percent = 4.757 Prediction Error = 2.4848 Percent = 4.757 Prediction Error = 2.4379 Percent = 5.0962 Prediction Error = 2.4379 Percent = 5.0962 Prediction Error = 2.391 Percent = 5.4485 Prediction Error = 2.391 Percent = 5.4485 Prediction Error = 2.3442 Percent = 5.8131 Prediction Error = 2.3442 Percent = 5.8131 Prediction Error = 1.9223 Percent = 9.3974 Prediction Error = 1.9223 Percent = 9.3974 Prediction Error = 1.8285 Percent = 10.18 Prediction Error = 1.8285 Percent = 10.18 Prediction Error = 1.7816 Percent = 10.556 Prediction Error = 1.7816 Percent = 10.556 Prediction Error = 1.7347 Percent = 10.917 Prediction Error = 1.7347 Percent = 10.917 Prediction Error = 1.6879 Percent = 11.263 Prediction Error = 1.6879 Percent = 11.263 Prediction Error = 1.641 Percent = 11.59 Prediction Error = 1.641 Percent = 11.59 Prediction Error = 1.5941 Percent = 11.897 Prediction Error = 1.5941 Percent = 11.897 Prediction Error = 1.5472 Percent = 12.182 Prediction Error = 1.5472 Percent = 12.182 Prediction Error = 1.5003 Percent = 12.442 Prediction Error = 1.5003 Percent = 12.442 Prediction Error = 1.4535 Percent = 12.677 Prediction Error = 1.4535 Percent = 12.677 Prediction Error = 1.4066 Percent = 12.885 Prediction Error = 1.4066 Percent = 12.885 Prediction Error = 1.3597 Percent = 13.066 Prediction Error = 1.3597 Percent = 13.066 Prediction Error = 1.3128 Percent = 13.218 Prediction Error = 1.3128 Percent = 13.218 Prediction Error = 1.266 Percent = 13.342 Prediction Error = 1.266 Percent = 13.342 Prediction Error = 1.2191 Percent = 13.437 Prediction Error = 1.2191 Percent = 13.437 Prediction Error = 1.1722 Percent = 13.503 Prediction Error = 1.1722 Percent = 13.503 Prediction Error = 1.1253 Percent = 13.541 Prediction Error = 1.1253 Percent = 13.541 Prediction Error = 1.0784 Percent = 13.552 Prediction Error = 1.0784 Percent = 13.552 Prediction Error = 1.0316 Percent = 13.536 Prediction Error = 1.0316 Percent = 13.536 Prediction Error = 0.9847 Percent = 13.496 Prediction Error = 0.9847 Percent = 13.496 Prediction Error = 0.9378 Percent = 13.432 Prediction Error = 0.9378 Percent = 13.432 Prediction Error = 0.8909 Percent = 13.347 Prediction Error = 0.8909 Percent = 13.347 Prediction Error = 0.844 Percent = 13.242 Prediction Error = 0.844 Percent = 13.242 Prediction Error = 0.7972 Percent = 13.119 Prediction Error = 0.7972 Percent = 13.119 Prediction Error = 0.7503 Percent = 12.981 Prediction Error = 0.7503 Percent = 12.981 Prediction Error = 0.7034 Percent = 12.828 Prediction Error = 0.7034 Percent = 12.828 Prediction Error = 0.6565 Percent = 12.665 Prediction Error = 0.6565 Percent = 12.665 Prediction Error = 0.6097 Percent = 12.493 Prediction Error = 0.6097 Percent = 12.493 Prediction Error = 0.3753 Percent = 11.568 Prediction Error = 0.3753 Percent = 11.568 Prediction Error = 0.2815 Percent = 11.205 Prediction Error = 0.2815 Percent = 11.205 Prediction Error = 0.2346 Percent = 11.031 Prediction Error = 0.2346 Percent = 11.031 Prediction Error = 0.1877 Percent = 10.865 Prediction Error = 0.1877 Percent = 10.865 Prediction Error = 0.1409 Percent = 10.707 Prediction Error = 0.1409 Percent = 10.707 Prediction Error = 0.094 Percent = 10.558 Prediction Error = 0.094 Percent = 10.558 Prediction Error = 0.0471 Percent = 10.42 Prediction Error = 0.0471 Percent = 10.42 Prediction Error = .00023 Percent = 10.292 Prediction Error = .00023 Percent = 10.292 Prediction Error = -0.047 Percent = 10.176 Prediction Error = -0.047 Percent = 10.176 Prediction Error = -0.094 Percent = 10.072 Prediction Error = -0.094 Percent = 10.072 Prediction Error = -0.14 Percent = 9.9803 Prediction Error = -0.14 Percent = 9.9803 Prediction Error = -0.187 Percent = 9.9013 Prediction Error = -0.187 Percent = 9.9013 Prediction Error = -0.234 Percent = 9.8351 Prediction Error = -0.234 Percent = 9.8351 Prediction Error = -0.281 Percent = 9.7817 Prediction Error = -0.281 Percent = 9.7817 Prediction Error = -0.328 Percent = 9.7411 Prediction Error = -0.328 Percent = 9.7411 Prediction Error = -0.375 Percent = 9.7131 Prediction Error = -0.375 Percent = 9.7131 Prediction Error = -0.422 Percent = 9.6974 Prediction Error = -0.422 Percent = 9.6974 Prediction Error = -0.469 Percent = 9.6938 Prediction Error = -0.469 Percent = 9.6938 Prediction Error = -0.515 Percent = 9.7018 Prediction Error = -0.515 Percent = 9.7018 Prediction Error = -0.562 Percent = 9.7209 Prediction Error = -0.562 Percent = 9.7209 Prediction Error = -0.609 Percent = 9.7505 Prediction Error = -0.609 Percent = 9.7505 Prediction Error = -0.656 Percent = 9.7898 Prediction Error = -0.656 Percent = 9.7898 Prediction Error = -0.703 Percent = 9.838 Prediction Error = -0.703 Percent = 9.838 Prediction Error = -0.75 Percent = 9.8943 Prediction Error = -0.75 Percent = 9.8943 Prediction Error = -0.797 Percent = 9.9576 Prediction Error = -0.797 Percent = 9.9576 Prediction Error = -0.844 Percent = 10.027 Prediction Error = -0.844 Percent = 10.027 Prediction Error = -0.89 Percent = 10.101 Prediction Error = -0.89 Percent = 10.101 Prediction Error = -0.937 Percent = 10.179 Prediction Error = -0.937 Percent = 10.179 Prediction Error = -1.031 Percent = 10.34 Prediction Error = -1.031 Percent = 10.34 Prediction Error = -1.125 Percent = 10.498 Prediction Error = -1.125 Percent = 10.498 Prediction Error = -1.172 Percent = 10.573 Prediction Error = -1.172 Percent = 10.573 Prediction Error = -1.219 Percent = 10.643 Prediction Error = -1.219 Percent = 10.643 Prediction Error = -1.265 Percent = 10.707 Prediction Error = -1.265 Percent = 10.707 Prediction Error = -1.312 Percent = 10.763 Prediction Error = -1.312 Percent = 10.763 Prediction Error = -1.359 Percent = 10.809 Prediction Error = -1.359 Percent = 10.809 Prediction Error = -1.406 Percent = 10.845 Prediction Error = -1.406 Percent = 10.845 Prediction Error = -1.453 Percent = 10.869 Prediction Error = -1.453 Percent = 10.869 Prediction Error = -1.5 Percent = 10.879 Prediction Error = -1.5 Percent = 10.879 Prediction Error = -1.547 Percent = 10.876 Prediction Error = -1.547 Percent = 10.876 Prediction Error = -1.594 Percent = 10.857 Prediction Error = -1.594 Percent = 10.857 Prediction Error = -1.641 Percent = 10.823 Prediction Error = -1.641 Percent = 10.823 Prediction Error = -1.687 Percent = 10.771 Prediction Error = -1.687 Percent = 10.771 Prediction Error = -1.734 Percent = 10.703 Prediction Error = -1.734 Percent = 10.703 Prediction Error = -1.781 Percent = 10.617 Prediction Error = -1.781 Percent = 10.617 Prediction Error = -1.828 Percent = 10.514 Prediction Error = -1.828 Percent = 10.514 Prediction Error = -1.875 Percent = 10.392 Prediction Error = -1.875 Percent = 10.392 Prediction Error = -1.922 Percent = 10.253 Prediction Error = -1.922 Percent = 10.253 Prediction Error = -1.969 Percent = 10.097 Prediction Error = -1.969 Percent = 10.097 Prediction Error = -2.016 Percent = 9.9244 Prediction Error = -2.016 Percent = 9.9244 Prediction Error = -2.062 Percent = 9.7353 Prediction Error = -2.062 Percent = 9.7353 Prediction Error = -2.109 Percent = 9.5308 Prediction Error = -2.109 Percent = 9.5308 Prediction Error = -2.156 Percent = 9.3118 Prediction Error = -2.156 Percent = 9.3118 Prediction Error = -2.203 Percent = 9.0793 Prediction Error = -2.203 Percent = 9.0793 Prediction Error = -2.25 Percent = 8.8344 Prediction Error = -2.25 Percent = 8.8344 Prediction Error = -2.297 Percent = 8.5782 Prediction Error = -2.297 Percent = 8.5782 Prediction Error = -2.344 Percent = 8.3121 Prediction Error = -2.344 Percent = 8.3121 Prediction Error = -2.391 Percent = 8.0373 Prediction Error = -2.391 Percent = 8.0373 Prediction Error = -2.719 Percent = 5.9858 Prediction Error = -2.719 Percent = 5.9858 Prediction Error = -2.859 Percent = 5.1088 Prediction Error = -2.859 Percent = 5.1088 Prediction Error = -2.953 Percent = 4.5474 Prediction Error = -2.953 Percent = 4.5474 Prediction Error = -3.047 Percent = 4.0123 Prediction Error = -3.047 Percent = 4.0123 Prediction Error = -3.094 Percent = 3.7564 Prediction Error = -3.094 Percent = 3.7564 Prediction Error = -3.141 Percent = 3.509 Prediction Error = -3.141 Percent = 3.509 Prediction Error = -3.188 Percent = 3.2705 Prediction Error = -3.188 Percent = 3.2705 Prediction Error = -3.234 Percent = 3.0413 Prediction Error = -3.234 Percent = 3.0413 Prediction Error = -3.281 Percent = 2.8217 Prediction Error = -3.281 Percent = 2.8217 Prediction Error = -3.328 Percent = 2.6118 Prediction Error = -3.328 Percent = 2.6118 Prediction Error = -3.375 Percent = 2.4119 Prediction Error = -3.375 Percent = 2.4119 Prediction Error = -3.422 Percent = 2.2219 Prediction Error = -3.422 Percent = 2.2219 Prediction Error = -3.469 Percent = 2.042 Prediction Error = -3.469 Percent = 2.042 Prediction Error = -3.516 Percent = 1.872 Prediction Error = -3.516 Percent = 1.872 Prediction Error = -3.563 Percent = 1.7119 Prediction Error = -3.563 Percent = 1.7119 Prediction Error = -3.609 Percent = 1.5614 Prediction Error = -3.609 Percent = 1.5614 Prediction Error = -3.656 Percent = 1.4206 Prediction Error = -3.656 Percent = 1.4206 Prediction Error = -3.703 Percent = 1.289 Prediction Error = -3.703 Percent = 1.289 Prediction Error = -3.75 Percent = 1.1665 Prediction Error = -3.75 Percent = 1.1665 Prediction Error = -3.797 Percent = 1.0528 Prediction Error = -3.797 Percent = 1.0528 Prediction Error = -3.844 Percent = 0.9475 Prediction Error = -3.844 Percent = 0.9475 Prediction Error = -3.891 Percent = 0.8504 Prediction Error = -3.891 Percent = 0.8504 Prediction Error = -3.938 Percent = 0.761 Prediction Error = -3.938 Percent = 0.761 Prediction Error = -3.984 Percent = 0.679 Prediction Error = -3.984 Percent = 0.679 Prediction Error = -4.031 Percent = 0.6041 Prediction Error = -4.031 Percent = 0.6041 Prediction Error = -4.078 Percent = 0.5358 Prediction Error = -4.078 Percent = 0.5358 Prediction Error = -4.125 Percent = 0.4738 Prediction Error = -4.125 Percent = 0.4738 Prediction Error = -4.172 Percent = 0.4177 Prediction Error = -4.172 Percent = 0.4177 Prediction Error = -4.219 Percent = 0.3671 Prediction Error = -4.219 Percent = 0.3671 Prediction Error = -4.266 Percent = 0.3215 Prediction Error = -4.266 Percent = 0.3215 Prediction Error = -4.313 Percent = 0.2807 Prediction Error = -4.313 Percent = 0.2807 Prediction Error = -4.359 Percent = 0.2443 Prediction Error = -4.359 Percent = 0.2443 Prediction Error = -4.406 Percent = 0.2119 Prediction Error = -4.406 Percent = 0.2119 Prediction Error = -4.453 Percent = 0.1832 Prediction Error = -4.453 Percent = 0.1832 Prediction Error = -4.5 Percent = 0.1578 Prediction Error = -4.5 Percent = 0.1578 Prediction Error = -4.547 Percent = 0.1355 Prediction Error = -4.547 Percent = 0.1355 Prediction Error = -4.594 Percent = 0.1159 Prediction Error = -4.594 Percent = 0.1159 Prediction Error = -4.641 Percent = 0.0988 Prediction Error = -4.641 Percent = 0.0988 Prediction Error = -4.688 Percent = 0.0839 Prediction Error = -4.688 Percent = 0.0839 Prediction Error = -4.735 Percent = 0.0711 Prediction Error = -4.735 Percent = 0.0711 Prediction Error = -4.781 Percent = 0.0599 Prediction Error = -4.781 Percent = 0.0599 Prediction Error = -4.828 Percent = 0.0504 Prediction Error = 4.4287 Percent = 0.1749 Prediction Error = 4.3826 Percent = 0.1915 Prediction Error = 4.3826 Percent = 0.1915 Prediction Error = 4.3366 Percent = 0.2094 Prediction Error = 4.3366 Percent = 0.2094 Prediction Error = 4.2905 Percent = 0.2289 Prediction Error = 4.2905 Percent = 0.2289 Prediction Error = 4.2444 Percent = 0.2498 Prediction Error = 4.2444 Percent = 0.2498 Prediction Error = 4.1984 Percent = 0.2725 Prediction Error = 4.1984 Percent = 0.2725 Prediction Error = 4.1523 Percent = 0.2969 Prediction Error = 4.1523 Percent = 0.2969 Prediction Error = 4.1063 Percent = 0.3232 Prediction Error = 4.1063 Percent = 0.3232 Prediction Error = 4.0602 Percent = 0.3516 Prediction Error = 4.0602 Percent = 0.3516 Prediction Error = 4.0142 Percent = 0.382 Prediction Error = 4.0142 Percent = 0.382 Prediction Error = 3.9681 Percent = 0.4148 Prediction Error = 3.9681 Percent = 0.4148 Prediction Error = 3.922 Percent = 0.4499 Prediction Error = 3.922 Percent = 0.4499 Prediction Error = 3.876 Percent = 0.4875 Prediction Error = 3.876 Percent = 0.4875 Prediction Error = 3.8299 Percent = 0.5278 Prediction Error = 3.8299 Percent = 0.5278 Prediction Error = 3.7839 Percent = 0.5709 Prediction Error = 3.7839 Percent = 0.5709 Prediction Error = 3.7378 Percent = 0.617 Prediction Error = 3.7378 Percent = 0.617 Prediction Error = 3.6917 Percent = 0.6661 Prediction Error = 3.6917 Percent = 0.6661 Prediction Error = 3.6457 Percent = 0.7186 Prediction Error = 3.6457 Percent = 0.7186 Prediction Error = 3.5996 Percent = 0.7744 Prediction Error = 3.5996 Percent = 0.7744 Prediction Error = 3.5536 Percent = 0.8338 Prediction Error = 3.5536 Percent = 0.8338 Prediction Error = 3.5075 Percent = 0.897 Prediction Error = 3.5075 Percent = 0.897 Prediction Error = 3.4615 Percent = 0.964 Prediction Error = 3.4615 Percent = 0.964 Prediction Error = 3.4154 Percent = 1.0351 Prediction Error = 3.4154 Percent = 1.0351 Prediction Error = 3.3693 Percent = 1.1105 Prediction Error = 3.3693 Percent = 1.1105 Prediction Error = 3.3233 Percent = 1.1902 Prediction Error = 3.3233 Percent = 1.1902 Prediction Error = 3.2772 Percent = 1.2744 Prediction Error = 3.2772 Percent = 1.2744 Prediction Error = 3.2312 Percent = 1.3634 Prediction Error = 3.2312 Percent = 1.3634 Prediction Error = 3.1851 Percent = 1.4573 Prediction Error = 3.1851 Percent = 1.4573 Prediction Error = 3.139 Percent = 1.5562 Prediction Error = 3.139 Percent = 1.5562 Prediction Error = 3.093 Percent = 1.6603 Prediction Error = 3.093 Percent = 1.6603 Prediction Error = 3.0469 Percent = 1.7697 Prediction Error = 3.0469 Percent = 1.7697 Prediction Error = 3.0009 Percent = 1.8846 Prediction Error = 3.0009 Percent = 1.8846 Prediction Error = 2.9548 Percent = 2.0051 Prediction Error = 2.9548 Percent = 2.0051 Prediction Error = 2.9088 Percent = 2.1313 Prediction Error = 2.9088 Percent = 2.1313 Prediction Error = 2.8627 Percent = 2.2635 Prediction Error = 2.8627 Percent = 2.2635 Prediction Error = 2.8166 Percent = 2.4016 Prediction Error = 2.8166 Percent = 2.4016 Prediction Error = 2.7706 Percent = 2.5458 Prediction Error = 2.7706 Percent = 2.5458 Prediction Error = 2.7245 Percent = 2.6961 Prediction Error = 2.7245 Percent = 2.6961 Prediction Error = 2.6785 Percent = 2.8528 Prediction Error = 2.6785 Percent = 2.8528 Prediction Error = 2.6324 Percent = 3.0158 Prediction Error = 2.6324 Percent = 3.0158 Prediction Error = 2.5863 Percent = 3.1851 Prediction Error = 2.5863 Percent = 3.1851 Prediction Error = 2.5403 Percent = 3.3609 Prediction Error = 2.5403 Percent = 3.3609 Prediction Error = 2.4942 Percent = 3.5431 Prediction Error = 2.4942 Percent = 3.5431 Prediction Error = 2.4482 Percent = 3.7318 Prediction Error = 2.4482 Percent = 3.7318 Prediction Error = 2.4021 Percent = 3.9269 Prediction Error = 2.4021 Percent = 3.9269 Prediction Error = 2.356 Percent = 4.1284 Prediction Error = 2.356 Percent = 4.1284 Prediction Error = 2.2639 Percent = 4.5505 Prediction Error = 2.2639 Percent = 4.5505 Prediction Error = 2.1718 Percent = 4.9973 Prediction Error = 2.1718 Percent = 4.9973 Prediction Error = 2.0797 Percent = 5.4679 Prediction Error = 2.0797 Percent = 5.4679 Prediction Error = 1.9876 Percent = 5.9608 Prediction Error = 1.9876 Percent = 5.9608 Prediction Error = 1.8955 Percent = 6.4744 Prediction Error = 1.8955 Percent = 6.4744 Prediction Error = 1.2046 Percent = 10.704 Prediction Error = 1.2046 Percent = 10.704 Prediction Error = 1.0664 Percent = 11.546 Prediction Error = 1.0664 Percent = 11.546 Prediction Error = 0.9743 Percent = 12.089 Prediction Error = 0.9743 Percent = 12.089 Prediction Error = 0.8822 Percent = 12.61 Prediction Error = 0.8822 Percent = 12.61 Prediction Error = 0.7901 Percent = 13.106 Prediction Error = 0.7901 Percent = 13.106 Prediction Error = 0.744 Percent = 13.343 Prediction Error = 0.744 Percent = 13.343 Prediction Error = 0.6979 Percent = 13.572 Prediction Error = 0.6979 Percent = 13.572 Prediction Error = 0.6519 Percent = 13.792 Prediction Error = 0.6519 Percent = 13.792 Prediction Error = 0.6058 Percent = 14.002 Prediction Error = 0.6058 Percent = 14.002 Prediction Error = 0.5598 Percent = 14.203 Prediction Error = 0.5598 Percent = 14.203 Prediction Error = 0.5137 Percent = 14.393 Prediction Error = 0.5137 Percent = 14.393 Prediction Error = 0.4677 Percent = 14.573 Prediction Error = 0.4677 Percent = 14.573 Prediction Error = 0.4216 Percent = 14.741 Prediction Error = 0.4216 Percent = 14.741 Prediction Error = 0.3755 Percent = 14.897 Prediction Error = 0.3755 Percent = 14.897 Prediction Error = 0.3295 Percent = 15.042 Prediction Error = 0.3295 Percent = 15.042 Prediction Error = 0.2834 Percent = 15.174 Prediction Error = 0.2834 Percent = 15.174 Prediction Error = 0.2374 Percent = 15.292 Prediction Error = 0.2374 Percent = 15.292 Prediction Error = 0.1913 Percent = 15.398 Prediction Error = 0.1913 Percent = 15.398 Prediction Error = 0.1452 Percent = 15.49 Prediction Error = 0.1452 Percent = 15.49 Prediction Error = 0.0992 Percent = 15.569 Prediction Error = 0.0992 Percent = 15.569 Prediction Error = 0.0531 Percent = 15.633 Prediction Error = 0.0531 Percent = 15.633 Prediction Error = 0.0071 Percent = 15.684 Prediction Error = 0.0071 Percent = 15.684 Prediction Error = -0.039 Percent = 15.72 Prediction Error = -0.039 Percent = 15.72 Prediction Error = -0.085 Percent = 15.741 Prediction Error = -0.085 Percent = 15.741 Prediction Error = -0.131 Percent = 15.748 Prediction Error = -0.131 Percent = 15.748 Prediction Error = -0.177 Percent = 15.741 Prediction Error = -0.177 Percent = 15.741 Prediction Error = -0.223 Percent = 15.72 Prediction Error = -0.223 Percent = 15.72 Prediction Error = -0.269 Percent = 15.684 Prediction Error = -0.269 Percent = 15.684 Prediction Error = -0.315 Percent = 15.633 Prediction Error = -0.315 Percent = 15.633 Prediction Error = -0.361 Percent = 15.569 Prediction Error = -0.361 Percent = 15.569 Prediction Error = -0.407 Percent = 15.49 Prediction Error = -0.407 Percent = 15.49 Prediction Error = -0.454 Percent = 15.398 Prediction Error = -0.454 Percent = 15.398 Prediction Error = -0.5 Percent = 15.292 Prediction Error = -0.5 Percent = 15.292 Prediction Error = -0.546 Percent = 15.174 Prediction Error = -0.546 Percent = 15.174 Prediction Error = -0.592 Percent = 15.042 Prediction Error = -0.592 Percent = 15.042 Prediction Error = -0.638 Percent = 14.897 Prediction Error = -0.638 Percent = 14.897 Prediction Error = -0.684 Percent = 14.741 Prediction Error = -0.684 Percent = 14.741 Prediction Error = -0.73 Percent = 14.573 Prediction Error = -0.73 Percent = 14.573 Prediction Error = -0.776 Percent = 14.393 Prediction Error = -0.776 Percent = 14.393 Prediction Error = -0.822 Percent = 14.203 Prediction Error = -0.822 Percent = 14.203 Prediction Error = -0.868 Percent = 14.002 Prediction Error = -0.868 Percent = 14.002 Prediction Error = -0.914 Percent = 13.792 Prediction Error = -0.914 Percent = 13.792 Prediction Error = -0.96 Percent = 13.572 Prediction Error = -0.96 Percent = 13.572 Prediction Error = -1.006 Percent = 13.343 Prediction Error = -1.006 Percent = 13.343 Prediction Error = -1.052 Percent = 13.106 Prediction Error = -1.052 Percent = 13.106 Prediction Error = -1.144 Percent = 12.61 Prediction Error = -1.144 Percent = 12.61 Prediction Error = -1.237 Percent = 12.089 Prediction Error = -1.237 Percent = 12.089 Prediction Error = -1.789 Percent = 8.6859 Prediction Error = -1.789 Percent = 8.6859 Prediction Error = -1.973 Percent = 7.5544 Prediction Error = -1.973 Percent = 7.5544 Prediction Error = -2.112 Percent = 6.7382 Prediction Error = -2.112 Percent = 6.7382 Prediction Error = -2.204 Percent = 6.2152 Prediction Error = -2.204 Percent = 6.2152 Prediction Error = -2.296 Percent = 5.7117 Prediction Error = -2.296 Percent = 5.7117 Prediction Error = -2.388 Percent = 5.2297 Prediction Error = -2.388 Percent = 5.2297 Prediction Error = -2.48 Percent = 4.7709 Prediction Error = -2.48 Percent = 4.7709 Prediction Error = -2.572 Percent = 4.3363 Prediction Error = -2.572 Percent = 4.3363 Prediction Error = -2.618 Percent = 4.1284 Prediction Error = -2.618 Percent = 4.1284 Prediction Error = -2.664 Percent = 3.9269 Prediction Error = -2.664 Percent = 3.9269 Prediction Error = -2.71 Percent = 3.7318 Prediction Error = -2.71 Percent = 3.7318 Prediction Error = -2.756 Percent = 3.5431 Prediction Error = -2.756 Percent = 3.5431 Prediction Error = -2.802 Percent = 3.3609 Prediction Error = -2.802 Percent = 3.3609 Prediction Error = -2.849 Percent = 3.1851 Prediction Error = -2.849 Percent = 3.1851 Prediction Error = -2.895 Percent = 3.0158 Prediction Error = -2.895 Percent = 3.0158 Prediction Error = -2.941 Percent = 2.8528 Prediction Error = -2.941 Percent = 2.8528 Prediction Error = -2.987 Percent = 2.6961 Prediction Error = -2.987 Percent = 2.6961 Prediction Error = -3.033 Percent = 2.5458 Prediction Error = -3.033 Percent = 2.5458 Prediction Error = -3.079 Percent = 2.4016 Prediction Error = -3.079 Percent = 2.4016 Prediction Error = -3.125 Percent = 2.2635 Prediction Error = -3.125 Percent = 2.2635 Prediction Error = -3.171 Percent = 2.1313 Prediction Error = -3.171 Percent = 2.1313 Prediction Error = -3.217 Percent = 2.0051 Prediction Error = -3.217 Percent = 2.0051 Prediction Error = -3.263 Percent = 1.8846 Prediction Error = -3.263 Percent = 1.8846 Prediction Error = -3.309 Percent = 1.7697 Prediction Error = -3.309 Percent = 1.7697 Prediction Error = -3.355 Percent = 1.6603 Prediction Error = -3.355 Percent = 1.6603 Prediction Error = -3.401 Percent = 1.5562 Prediction Error = -3.401 Percent = 1.5562 Prediction Error = -3.447 Percent = 1.4573 Prediction Error = -3.447 Percent = 1.4573 Prediction Error = -3.493 Percent = 1.3634 Prediction Error = -3.493 Percent = 1.3634 Prediction Error = -3.539 Percent = 1.2744 Prediction Error = -3.539 Percent = 1.2744 Prediction Error = -3.585 Percent = 1.1902 Prediction Error = -3.585 Percent = 1.1902 Prediction Error = -3.632 Percent = 1.1105 Prediction Error = -3.632 Percent = 1.1105 Prediction Error = -3.678 Percent = 1.0351 Prediction Error = -3.678 Percent = 1.0351 Prediction Error = -3.724 Percent = 0.964 Prediction Error = -3.724 Percent = 0.964 Prediction Error = -3.77 Percent = 0.897 Prediction Error = -3.77 Percent = 0.897 Prediction Error = -3.816 Percent = 0.8338 Prediction Error = -3.816 Percent = 0.8338 Prediction Error = -3.862 Percent = 0.7744 Prediction Error = -3.862 Percent = 0.7744 Prediction Error = -3.908 Percent = 0.7186 Prediction Error = -3.908 Percent = 0.7186 Prediction Error = -3.954 Percent = 0.6661 Prediction Error = -3.954 Percent = 0.6661 Prediction Error = -4 Percent = 0.617 Prediction Error = -4 Percent = 0.617 Prediction Error = -4.046 Percent = 0.5709 Prediction Error = -4.046 Percent = 0.5709 Prediction Error = -4.092 Percent = 0.5278 Prediction Error = -4.092 Percent = 0.5278 Prediction Error = -4.138 Percent = 0.4875 Prediction Error = -4.138 Percent = 0.4875 Prediction Error = -4.184 Percent = 0.4499 Prediction Error = -4.184 Percent = 0.4499 Prediction Error = -4.23 Percent = 0.4148 Prediction Error = -4.23 Percent = 0.4148 Prediction Error = -4.276 Percent = 0.382 Prediction Error = -4.276 Percent = 0.382 Prediction Error = -4.322 Percent = 0.3516 Prediction Error = -4.322 Percent = 0.3516 Prediction Error = -4.368 Percent = 0.3232 Prediction Error = -4.368 Percent = 0.3232 Prediction Error = -4.415 Percent = 0.2969 Prediction Error = -4.415 Percent = 0.2969 Prediction Error = -4.461 Percent = 0.2725 Prediction Error = -4.461 Percent = 0.2725 Prediction Error = -4.507 Percent = 0.2498 Prediction Error = -4.507 Percent = 0.2498 Prediction Error = -4.553 Percent = 0.2289 Prediction Error = -4.553 Percent = 0.2289 Prediction Error = -4.599 Percent = 0.2094 Prediction Error = -4.599 Percent = 0.2094 Prediction Error = -4.645 Percent = 0.1915 Prediction Error = -4.645 Percent = 0.1915 Prediction Error = -4.691 Percent = 0.1749 Prediction Error = 3 Percent = 1.3393 Prediction Error = 3 Percent = 1.3393 Prediction Error = 2.4 Percent = 1.7857 Prediction Error = 2.4 Percent = 1.7857 Prediction Error = 1.8 Percent = 9.8214 Prediction Error = 1.8 Percent = 9.8214 Prediction Error = 1.2 Percent = 22.768 Prediction Error = 1.2 Percent = 22.768 Prediction Error = 0.6 Percent = 9.375 Prediction Error = 0.6 Percent = 9.375 Prediction Error = 0 Percent = 11.161 Prediction Error = 0 Percent = 11.161 Prediction Error = -0.6 Percent = 6.25 Prediction Error = -0.6 Percent = 6.25 Prediction Error = -1.2 Percent = 11.607 Prediction Error = -1.2 Percent = 11.607 Prediction Error = -1.8 Percent = 15.179 Prediction Error = -1.8 Percent = 15.179 Prediction Error = -2.4 Percent = 7.5893 Prediction Error = -2.4 Percent = 7.5893 Prediction Error = -3 Percent = 3.125 Prediction Error = -3 Percent = 3.125 Quantile = 2.7718 Residual = 3.0005 Quantile = 2.4448 Residual = 2.9923 Quantile = 2.2667 Residual = 2.9899 Quantile = 2.1403 Residual = 2.3666 Quantile = 2.041 Residual = 2.2139 Quantile = 1.9585 Residual = 2.2102 Quantile = 1.8876 Residual = 2.1983 Quantile = 1.825 Residual = 2.0658 Quantile = 1.7688 Residual = 2.0465 Quantile = 1.7178 Residual = 2.0303 Quantile = 1.6708 Residual = 2.0154 Quantile = 1.6273 Residual = 1.8836 Quantile = 1.5866 Residual = 1.8542 Quantile = 1.5484 Residual = 1.7916 Quantile = 1.5124 Residual = 1.7905 Quantile = 1.4782 Residual = 1.7722 Quantile = 1.4457 Residual = 1.7275 Quantile = 1.4146 Residual = 1.7117 Quantile = 1.3848 Residual = 1.7098 Quantile = 1.3562 Residual = 1.7027 Quantile = 1.3287 Residual = 1.694 Quantile = 1.3022 Residual = 1.6866 Quantile = 1.2765 Residual = 1.6506 Quantile = 1.2516 Residual = 1.6243 Quantile = 1.2275 Residual = 1.5601 Quantile = 1.2041 Residual = 1.5305 Quantile = 1.1814 Residual = 1.5262 Quantile = 1.1592 Residual = 1.5258 Quantile = 1.1376 Residual = 1.5177 Quantile = 1.1165 Residual = 1.4996 Quantile = 1.0959 Residual = 1.4966 Quantile = 1.0757 Residual = 1.4961 Quantile = 1.056 Residual = 1.4944 Quantile = 1.0367 Residual = 1.4685 Quantile = 1.0177 Residual = 1.4562 Quantile = 0.9991 Residual = 1.4522 Quantile = 0.9809 Residual = 1.4254 Quantile = 0.963 Residual = 1.4224 Quantile = 0.9453 Residual = 1.42 Quantile = 0.928 Residual = 1.3915 Quantile = 0.911 Residual = 1.3861 Quantile = 0.8942 Residual = 1.381 Quantile = 0.8776 Residual = 1.3661 Quantile = 0.8613 Residual = 1.3634 Quantile = 0.8452 Residual = 1.3623 Quantile = 0.8293 Residual = 1.3467 Quantile = 0.8137 Residual = 1.3457 Quantile = 0.7982 Residual = 1.335 Quantile = 0.7829 Residual = 1.3031 Quantile = 0.7678 Residual = 1.2905 Quantile = 0.7529 Residual = 1.2864 Quantile = 0.7381 Residual = 1.274 Quantile = 0.7235 Residual = 1.2688 Quantile = 0.7091 Residual = 1.2277 Quantile = 0.6948 Residual = 1.2268 Quantile = 0.6806 Residual = 1.206 Quantile = 0.6666 Residual = 1.1902 Quantile = 0.6527 Residual = 1.1882 Quantile = 0.639 Residual = 1.1706 Quantile = 0.6253 Residual = 1.1573 Quantile = 0.6118 Residual = 1.1324 Quantile = 0.5983 Residual = 1.1302 Quantile = 0.585 Residual = 1.1244 Quantile = 0.5718 Residual = 1.1219 Quantile = 0.5587 Residual = 1.1146 Quantile = 0.5457 Residual = 1.1067 Quantile = 0.5328 Residual = 1.0866 Quantile = 0.5199 Residual = 1.0786 Quantile = 0.5072 Residual = 1.0711 Quantile = 0.4945 Residual = 1.0657 Quantile = 0.4819 Residual = 1.0527 Quantile = 0.4694 Residual = 1.0239 Quantile = 0.4569 Residual = 1.0199 Quantile = 0.4446 Residual = 1.0089 Quantile = 0.4323 Residual = 1.0083 Quantile = 0.42 Residual = 1.0028 Quantile = 0.4078 Residual = 0.989 Quantile = 0.3957 Residual = 0.9876 Quantile = 0.3837 Residual = 0.9169 Quantile = 0.3717 Residual = 0.9012 Quantile = 0.3597 Residual = 0.8979 Quantile = 0.3478 Residual = 0.8958 Quantile = 0.336 Residual = 0.8593 Quantile = 0.3242 Residual = 0.8377 Quantile = 0.3124 Residual = 0.8191 Quantile = 0.3007 Residual = 0.8187 Quantile = 0.289 Residual = 0.8004 Quantile = 0.2774 Residual = 0.7657 Quantile = 0.2658 Residual = 0.7534 Quantile = 0.2542 Residual = 0.7492 Quantile = 0.2427 Residual = 0.7257 Quantile = 0.2312 Residual = 0.6985 Quantile = 0.2197 Residual = 0.6835 Quantile = 0.2083 Residual = 0.6478 Quantile = 0.1969 Residual = 0.6159 Quantile = 0.1855 Residual = 0.6088 Quantile = 0.1741 Residual = 0.607 Quantile = 0.1628 Residual = 0.5691 Quantile = 0.1515 Residual = 0.5651 Quantile = 0.1402 Residual = 0.5641 Quantile = 0.1289 Residual = 0.5191 Quantile = 0.1176 Residual = 0.2371 Quantile = 0.1064 Residual = 0.1171 Quantile = 0.0952 Residual = 0.0231 Quantile = 0.0839 Residual = 0.0198 Quantile = 0.0727 Residual = 0.0189 Quantile = 0.0615 Residual = 0.0169 Quantile = 0.0503 Residual = 0.0083 Quantile = 0.0391 Residual = -4E-16 Quantile = 0.0279 Residual = -9E-16 Quantile = 0.0168 Residual = -77E-5 Quantile = 0.0056 Residual = -0.002 Quantile = -0.006 Residual = -0.007 Quantile = -0.017 Residual = -0.007 Quantile = -0.028 Residual = -0.009 Quantile = -0.039 Residual = -0.009 Quantile = -0.05 Residual = -0.01 Quantile = -0.062 Residual = -0.011 Quantile = -0.073 Residual = -0.013 Quantile = -0.084 Residual = -0.027 Quantile = -0.095 Residual = -0.037 Quantile = -0.106 Residual = -0.112 Quantile = -0.118 Residual = -0.115 Quantile = -0.129 Residual = -0.127 Quantile = -0.14 Residual = -0.235 Quantile = -0.151 Residual = -0.243 Quantile = -0.163 Residual = -0.364 Quantile = -0.174 Residual = -0.373 Quantile = -0.185 Residual = -0.406 Quantile = -0.197 Residual = -0.492 Quantile = -0.208 Residual = -0.503 Quantile = -0.22 Residual = -0.535 Quantile = -0.231 Residual = -0.564 Quantile = -0.243 Residual = -0.593 Quantile = -0.254 Residual = -0.736 Quantile = -0.266 Residual = -0.754 Quantile = -0.277 Residual = -0.79 Quantile = -0.289 Residual = -0.793 Quantile = -0.301 Residual = -0.863 Quantile = -0.312 Residual = -0.88 Quantile = -0.324 Residual = -0.958 Quantile = -0.336 Residual = -0.993 Quantile = -0.348 Residual = -1.006 Quantile = -0.36 Residual = -1.01 Quantile = -0.372 Residual = -1.039 Quantile = -0.384 Residual = -1.053 Quantile = -0.396 Residual = -1.071 Quantile = -0.408 Residual = -1.119 Quantile = -0.42 Residual = -1.151 Quantile = -0.432 Residual = -1.152 Quantile = -0.445 Residual = -1.173 Quantile = -0.457 Residual = -1.191 Quantile = -0.469 Residual = -1.193 Quantile = -0.482 Residual = -1.215 Quantile = -0.494 Residual = -1.232 Quantile = -0.507 Residual = -1.259 Quantile = -0.52 Residual = -1.298 Quantile = -0.533 Residual = -1.338 Quantile = -0.546 Residual = -1.359 Quantile = -0.559 Residual = -1.36 Quantile = -0.572 Residual = -1.366 Quantile = -0.585 Residual = -1.409 Quantile = -0.598 Residual = -1.409 Quantile = -0.612 Residual = -1.419 Quantile = -0.625 Residual = -1.443 Quantile = -0.639 Residual = -1.476 Quantile = -0.653 Residual = -1.508 Quantile = -0.667 Residual = -1.512 Quantile = -0.681 Residual = -1.516 Quantile = -0.695 Residual = -1.536 Quantile = -0.709 Residual = -1.542 Quantile = -0.724 Residual = -1.595 Quantile = -0.738 Residual = -1.65 Quantile = -0.753 Residual = -1.679 Quantile = -0.768 Residual = -1.68 Quantile = -0.783 Residual = -1.714 Quantile = -0.798 Residual = -1.763 Quantile = -0.814 Residual = -1.786 Quantile = -0.829 Residual = -1.799 Quantile = -0.845 Residual = -1.808 Quantile = -0.861 Residual = -1.809 Quantile = -0.878 Residual = -1.811 Quantile = -0.894 Residual = -1.813 Quantile = -0.911 Residual = -1.847 Quantile = -0.928 Residual = -1.86 Quantile = -0.945 Residual = -1.868 Quantile = -0.963 Residual = -1.879 Quantile = -0.981 Residual = -1.9 Quantile = -0.999 Residual = -1.937 Quantile = -1.018 Residual = -1.981 Quantile = -1.037 Residual = -1.982 Quantile = -1.056 Residual = -1.985 Quantile = -1.076 Residual = -1.995 Quantile = -1.096 Residual = -1.998 Quantile = -1.116 Residual = -2.002 Quantile = -1.138 Residual = -2.007 Quantile = -1.159 Residual = -2.045 Quantile = -1.181 Residual = -2.08 Quantile = -1.204 Residual = -2.087 Quantile = -1.228 Residual = -2.093 Quantile = -1.252 Residual = -2.103 Quantile = -1.276 Residual = -2.104 Quantile = -1.302 Residual = -2.109 Quantile = -1.329 Residual = -2.134 Quantile = -1.356 Residual = -2.152 Quantile = -1.385 Residual = -2.185 Quantile = -1.415 Residual = -2.213 Quantile = -1.446 Residual = -2.285 Quantile = -1.478 Residual = -2.312 Quantile = -1.512 Residual = -2.335 Quantile = -1.548 Residual = -2.383 Quantile = -1.587 Residual = -2.464 Quantile = -1.627 Residual = -2.477 Quantile = -1.671 Residual = -2.526 Quantile = -1.718 Residual = -2.548 Quantile = -1.769 Residual = -2.586 Quantile = -1.825 Residual = -2.613 Quantile = -1.888 Residual = -2.977 Quantile = -1.959 Residual = -2.983 Quantile = -2.041 Residual = -2.984 Quantile = -2.14 Residual = -2.997 Quantile = -2.267 Residual = -2.999 Quantile = -2.445 Residual = -3 Quantile = -2.772 Residual = -3 Slope = 1.5199 Y = -0.131 Lag = 24 ACF = 0.0714 Lag = 23 ACF = -0.039 Lag = 22 ACF = -0.139 Lag = 21 ACF = 0.0044 Lag = 20 ACF = -0.009 Lag = 19 ACF = 0.049 Lag = 18 ACF = -0.05 Lag = 17 ACF = -0.043 Lag = 16 ACF = -0.06 Lag = 15 ACF = -0.03 Lag = 14 ACF = 0.1063 Lag = 13 ACF = 0.0094 Lag = 12 ACF = -0.051 Lag = 11 ACF = -0.051 Lag = 10 ACF = -0.066 Lag = 9 ACF = 0.0464 Lag = 8 ACF = 0.0595 Lag = 7 ACF = .00086 Lag = 6 ACF = -0.049 Lag = 5 ACF = 0.0263 Lag = 4 ACF = 0.0638 Lag = 3 ACF = -0.148 Lag = 2 ACF = -0.049 Lag = 1 ACF = -0.08 Lag = 0 ACF = 1 Lag = 24 Lower = -0.146 Upper = 0.146 Lag = 23 Lower = -0.146 Upper = 0.1458 Lag = 23 Lower = -0.146 Upper = 0.1458 Lag = 22 Lower = -0.143 Upper = 0.1434 Lag = 22 Lower = -0.143 Upper = 0.1434 Lag = 21 Lower = -0.143 Upper = 0.1434 Lag = 21 Lower = -0.143 Upper = 0.1434 Lag = 20 Lower = -0.143 Upper = 0.1434 Lag = 20 Lower = -0.143 Upper = 0.1434 Lag = 19 Lower = -0.143 Upper = 0.1431 Lag = 19 Lower = -0.143 Upper = 0.1431 Lag = 18 Lower = -0.143 Upper = 0.1428 Lag = 18 Lower = -0.143 Upper = 0.1428 Lag = 17 Lower = -0.143 Upper = 0.1426 Lag = 17 Lower = -0.143 Upper = 0.1426 Lag = 16 Lower = -0.142 Upper = 0.1421 Lag = 16 Lower = -0.142 Upper = 0.1421 Lag = 15 Lower = -0.142 Upper = 0.142 Lag = 15 Lower = -0.142 Upper = 0.142 Lag = 14 Lower = -0.141 Upper = 0.1406 Lag = 14 Lower = -0.141 Upper = 0.1406 Lag = 13 Lower = -0.141 Upper = 0.1406 Lag = 13 Lower = -0.141 Upper = 0.1406 Lag = 12 Lower = -0.14 Upper = 0.1402 Lag = 12 Lower = -0.14 Upper = 0.1402 Lag = 11 Lower = -0.14 Upper = 0.1399 Lag = 11 Lower = -0.14 Upper = 0.1399 Lag = 10 Lower = -0.139 Upper = 0.1393 Lag = 10 Lower = -0.139 Upper = 0.1393 Lag = 9 Lower = -0.139 Upper = 0.1391 Lag = 9 Lower = -0.139 Upper = 0.1391 Lag = 8 Lower = -0.139 Upper = 0.1386 Lag = 8 Lower = -0.139 Upper = 0.1386 Lag = 7 Lower = -0.139 Upper = 0.1386 Lag = 7 Lower = -0.139 Upper = 0.1386 Lag = 6 Lower = -0.138 Upper = 0.1383 Lag = 6 Lower = -0.138 Upper = 0.1383 Lag = 5 Lower = -0.138 Upper = 0.1382 Lag = 5 Lower = -0.138 Upper = 0.1382 Lag = 4 Lower = -0.138 Upper = 0.1377 Lag = 4 Lower = -0.138 Upper = 0.1377 Lag = 3 Lower = -0.135 Upper = 0.1348 Lag = 3 Lower = -0.135 Upper = 0.1348 Lag = 2 Lower = -0.134 Upper = 0.1345 Lag = 2 Lower = -0.134 Upper = 0.1345 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = 0.0616 Lag = 23 PACF = -0.09 Lag = 22 PACF = -0.159 Lag = 21 PACF = -0.011 Lag = 20 PACF = 0.0044 Lag = 19 PACF = 0.0244 Lag = 18 PACF = -0.084 Lag = 17 PACF = -0.032 Lag = 16 PACF = -0.064 Lag = 15 PACF = -0.021 Lag = 14 PACF = 0.0993 Lag = 13 PACF = -0.03 Lag = 12 PACF = -0.063 Lag = 11 PACF = -0.038 Lag = 10 PACF = -0.047 Lag = 9 PACF = 0.0394 Lag = 8 PACF = 0.0606 Lag = 7 PACF = 0.0093 Lag = 6 PACF = -0.065 Lag = 5 PACF = 0.0178 Lag = 4 PACF = 0.0352 Lag = 3 PACF = -0.158 Lag = 2 PACF = -0.056 Lag = 1 PACF = -0.08 Lag = 24 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Sep2019 Loess Fit = -0.108 Date_of_death = Jul2019 Loess Fit = -0.109 Date_of_death = Jul2019 Loess Fit = -0.109 Date_of_death = Jun2019 Loess Fit = -0.11 Date_of_death = Jun2019 Loess Fit = -0.11 Date_of_death = May2019 Loess Fit = -0.111 Date_of_death = May2019 Loess Fit = -0.111 Date_of_death = Apr2019 Loess Fit = -0.112 Date_of_death = Apr2019 Loess Fit = -0.112 Date_of_death = Mar2019 Loess Fit = -0.113 Date_of_death = Mar2019 Loess Fit = -0.113 Date_of_death = Feb2019 Loess Fit = -0.114 Date_of_death = Feb2019 Loess Fit = -0.114 Date_of_death = Jan2019 Loess Fit = -0.115 Date_of_death = Jan2019 Loess Fit = -0.115 Date_of_death = Dec2018 Loess Fit = -0.116 Date_of_death = Dec2018 Loess Fit = -0.116 Date_of_death = Oct2018 Loess Fit = -0.117 Date_of_death = Oct2018 Loess Fit = -0.117 Date_of_death = Sep2018 Loess Fit = -0.118 Date_of_death = Sep2018 Loess Fit = -0.118 Date_of_death = Aug2018 Loess Fit = -0.119 Date_of_death = Aug2018 Loess Fit = -0.119 Date_of_death = Jul2018 Loess Fit = -0.12 Date_of_death = Jul2018 Loess Fit = -0.12 Date_of_death = Jun2018 Loess Fit = -0.121 Date_of_death = Jun2018 Loess Fit = -0.121 Date_of_death = May2018 Loess Fit = -0.122 Date_of_death = May2018 Loess Fit = -0.122 Date_of_death = Apr2018 Loess Fit = -0.123 Date_of_death = Apr2018 Loess Fit = -0.123 Date_of_death = Mar2018 Loess Fit = -0.124 Date_of_death = Mar2018 Loess Fit = -0.124 Date_of_death = Feb2018 Loess Fit = -0.125 Date_of_death = Feb2018 Loess Fit = -0.125 Date_of_death = Dec2017 Loess Fit = -0.126 Date_of_death = Dec2017 Loess Fit = -0.126 Date_of_death = Nov2017 Loess Fit = -0.127 Date_of_death = Nov2017 Loess Fit = -0.127 Date_of_death = Oct2017 Loess Fit = -0.128 Date_of_death = Oct2017 Loess Fit = -0.128 Date_of_death = Sep2017 Loess Fit = -0.129 Date_of_death = Sep2017 Loess Fit = -0.129 Date_of_death = Aug2017 Loess Fit = -0.13 Date_of_death = Aug2017 Loess Fit = -0.13 Date_of_death = Jul2017 Loess Fit = -0.131 Date_of_death = Jul2017 Loess Fit = -0.131 Date_of_death = Jun2017 Loess Fit = -0.132 Date_of_death = Jun2017 Loess Fit = -0.132 Date_of_death = May2017 Loess Fit = -0.133 Date_of_death = May2017 Loess Fit = -0.133 Date_of_death = Apr2017 Loess Fit = -0.133 Date_of_death = Apr2017 Loess Fit = -0.133 Date_of_death = Feb2017 Loess Fit = -0.134 Date_of_death = Feb2017 Loess Fit = -0.134 Date_of_death = Jan2017 Loess Fit = -0.134 Date_of_death = Jan2017 Loess Fit = -0.134 Date_of_death = Dec2016 Loess Fit = -0.135 Date_of_death = Dec2016 Loess Fit = -0.135 Date_of_death = Nov2016 Loess Fit = -0.135 Date_of_death = Nov2016 Loess Fit = -0.135 Date_of_death = Oct2016 Loess Fit = -0.136 Date_of_death = Oct2016 Loess Fit = -0.136 Date_of_death = Sep2016 Loess Fit = -0.136 Date_of_death = Sep2016 Loess Fit = -0.136 Date_of_death = Aug2016 Loess Fit = -0.137 Date_of_death = Aug2016 Loess Fit = -0.137 Date_of_death = Jul2016 Loess Fit = -0.137 Date_of_death = Jul2016 Loess Fit = -0.137 Date_of_death = May2016 Loess Fit = -0.138 Date_of_death = May2016 Loess Fit = -0.138 Date_of_death = Apr2016 Loess Fit = -0.138 Date_of_death = Apr2016 Loess Fit = -0.138 Date_of_death = Mar2016 Loess Fit = -0.139 Date_of_death = Mar2016 Loess Fit = -0.139 Date_of_death = Feb2016 Loess Fit = -0.14 Date_of_death = Feb2016 Loess Fit = -0.14 Date_of_death = Jan2016 Loess Fit = -0.14 Date_of_death = Jan2016 Loess Fit = -0.14 Date_of_death = Dec2015 Loess Fit = -0.141 Date_of_death = Dec2015 Loess Fit = -0.141 Date_of_death = Nov2015 Loess Fit = -0.141 Date_of_death = Nov2015 Loess Fit = -0.141 Date_of_death = Oct2015 Loess Fit = -0.142 Date_of_death = Oct2015 Loess Fit = -0.142 Date_of_death = Sep2015 Loess Fit = -0.142 Date_of_death = Sep2015 Loess Fit = -0.142 Date_of_death = Jul2015 Loess Fit = -0.143 Date_of_death = Jul2015 Loess Fit = -0.143 Date_of_death = Jun2015 Loess Fit = -0.143 Date_of_death = Jun2015 Loess Fit = -0.143 Date_of_death = May2015 Loess Fit = -0.144 Date_of_death = May2015 Loess Fit = -0.144 Date_of_death = Apr2015 Loess Fit = -0.144 Date_of_death = Apr2015 Loess Fit = -0.144 Date_of_death = Mar2015 Loess Fit = -0.145 Date_of_death = Mar2015 Loess Fit = -0.145 Date_of_death = Feb2015 Loess Fit = -0.145 Date_of_death = Feb2015 Loess Fit = -0.145 Date_of_death = Jan2015 Loess Fit = -0.146 Date_of_death = Jan2015 Loess Fit = -0.146 Date_of_death = Dec2014 Loess Fit = -0.146 Date_of_death = Dec2014 Loess Fit = -0.146 Date_of_death = Nov2014 Loess Fit = -0.146 Date_of_death = Nov2014 Loess Fit = -0.146 Date_of_death = Sep2014 Loess Fit = -0.146 Date_of_death = Sep2014 Loess Fit = -0.146 Date_of_death = Aug2014 Loess Fit = -0.147 Date_of_death = Aug2014 Loess Fit = -0.147 Date_of_death = Jul2014 Loess Fit = -0.147 Date_of_death = Jul2014 Loess Fit = -0.147 Date_of_death = Jun2014 Loess Fit = -0.147 Date_of_death = Jun2014 Loess Fit = -0.147 Date_of_death = May2014 Loess Fit = -0.147 Date_of_death = May2014 Loess Fit = -0.147 Date_of_death = Apr2014 Loess Fit = -0.147 Date_of_death = Apr2014 Loess Fit = -0.147 Date_of_death = Mar2014 Loess Fit = -0.147 Date_of_death = Mar2014 Loess Fit = -0.147 Date_of_death = Feb2014 Loess Fit = -0.148 Date_of_death = Feb2014 Loess Fit = -0.148 Date_of_death = Dec2013 Loess Fit = -0.148 Date_of_death = Dec2013 Loess Fit = -0.148 Date_of_death = Nov2013 Loess Fit = -0.148 Date_of_death = Nov2013 Loess Fit = -0.148 Date_of_death = Oct2013 Loess Fit = -0.148 Date_of_death = Oct2013 Loess Fit = -0.148 Date_of_death = Sep2013 Loess Fit = -0.148 Date_of_death = Sep2013 Loess Fit = -0.148 Date_of_death = Aug2013 Loess Fit = -0.148 Date_of_death = Aug2013 Loess Fit = -0.148 Date_of_death = Jul2013 Loess Fit = -0.148 Date_of_death = Jul2013 Loess Fit = -0.148 Date_of_death = Jun2013 Loess Fit = -0.149 Date_of_death = Jun2013 Loess Fit = -0.149 Date_of_death = May2013 Loess Fit = -0.149 Date_of_death = May2013 Loess Fit = -0.149 Date_of_death = Apr2013 Loess Fit = -0.149 Date_of_death = Apr2013 Loess Fit = -0.149 Date_of_death = Feb2013 Loess Fit = -0.149 Date_of_death = Feb2013 Loess Fit = -0.149 Date_of_death = Jan2013 Loess Fit = -0.149 Date_of_death = Jan2013 Loess Fit = -0.149 Date_of_death = Dec2012 Loess Fit = -0.149 Date_of_death = Dec2012 Loess Fit = -0.149 Date_of_death = Nov2012 Loess Fit = -0.15 Date_of_death = Nov2012 Loess Fit = -0.15 Date_of_death = Oct2012 Loess Fit = -0.15 Date_of_death = Oct2012 Loess Fit = -0.15 Date_of_death = Sep2012 Loess Fit = -0.15 Date_of_death = Sep2012 Loess Fit = -0.15 Date_of_death = Aug2012 Loess Fit = -0.15 Date_of_death = Aug2012 Loess Fit = -0.15 Date_of_death = Jul2012 Loess Fit = -0.15 Date_of_death = Jul2012 Loess Fit = -0.15 Date_of_death = Jun2012 Loess Fit = -0.15 Date_of_death = Jun2012 Loess Fit = -0.15 Date_of_death = Apr2012 Loess Fit = -0.149 Date_of_death = Apr2012 Loess Fit = -0.149 Date_of_death = Mar2012 Loess Fit = -0.149 Date_of_death = Mar2012 Loess Fit = -0.149 Date_of_death = Feb2012 Loess Fit = -0.149 Date_of_death = Feb2012 Loess Fit = -0.149 Date_of_death = Jan2012 Loess Fit = -0.149 Date_of_death = Jan2012 Loess Fit = -0.149 Date_of_death = Dec2011 Loess Fit = -0.149 Date_of_death = Dec2011 Loess Fit = -0.149 Date_of_death = Nov2011 Loess Fit = -0.149 Date_of_death = Nov2011 Loess Fit = -0.149 Date_of_death = Oct2011 Loess Fit = -0.149 Date_of_death = Oct2011 Loess Fit = -0.149 Date_of_death = Sep2011 Loess Fit = -0.149 Date_of_death = Sep2011 Loess Fit = -0.149 Date_of_death = Aug2011 Loess Fit = -0.149 Date_of_death = Aug2011 Loess Fit = -0.149 Date_of_death = Jun2011 Loess Fit = -0.148 Date_of_death = Jun2011 Loess Fit = -0.148 Date_of_death = May2011 Loess Fit = -0.148 Date_of_death = May2011 Loess Fit = -0.148 Date_of_death = Apr2011 Loess Fit = -0.148 Date_of_death = Apr2011 Loess Fit = -0.148 Date_of_death = Mar2011 Loess Fit = -0.148 Date_of_death = Mar2011 Loess Fit = -0.148 Date_of_death = Feb2011 Loess Fit = -0.148 Date_of_death = Feb2011 Loess Fit = -0.148 Date_of_death = Jan2011 Loess Fit = -0.148 Date_of_death = Jan2011 Loess Fit = -0.148 Date_of_death = Dec2010 Loess Fit = -0.148 Date_of_death = Dec2010 Loess Fit = -0.148 Date_of_death = Nov2010 Loess Fit = -0.148 Date_of_death = Nov2010 Loess Fit = -0.148 Date_of_death = Sep2010 Loess Fit = -0.148 Date_of_death = Sep2010 Loess Fit = -0.148 Date_of_death = Aug2010 Loess Fit = -0.147 Date_of_death = Aug2010 Loess Fit = -0.147 Date_of_death = Jul2010 Loess Fit = -0.147 Date_of_death = Jul2010 Loess Fit = -0.147 Date_of_death = Jun2010 Loess Fit = -0.147 Date_of_death = Jun2010 Loess Fit = -0.147 Date_of_death = May2010 Loess Fit = -0.147 Date_of_death = May2010 Loess Fit = -0.147 Date_of_death = Apr2010 Loess Fit = -0.147 Date_of_death = Apr2010 Loess Fit = -0.147 Date_of_death = Mar2010 Loess Fit = -0.146 Date_of_death = Mar2010 Loess Fit = -0.146 Date_of_death = Feb2010 Loess Fit = -0.145 Date_of_death = Feb2010 Loess Fit = -0.145 Date_of_death = Jan2010 Loess Fit = -0.145 Date_of_death = Jan2010 Loess Fit = -0.145 Date_of_death = Nov2009 Loess Fit = -0.144 Date_of_death = Nov2009 Loess Fit = -0.144 Date_of_death = Oct2009 Loess Fit = -0.143 Date_of_death = Oct2009 Loess Fit = -0.143 Date_of_death = Sep2009 Loess Fit = -0.143 Date_of_death = Sep2009 Loess Fit = -0.143 Date_of_death = Aug2009 Loess Fit = -0.142 Date_of_death = Aug2009 Loess Fit = -0.142 Date_of_death = Jul2009 Loess Fit = -0.141 Date_of_death = Jul2009 Loess Fit = -0.141 Date_of_death = Jun2009 Loess Fit = -0.14 Date_of_death = Jun2009 Loess Fit = -0.14 Date_of_death = May2009 Loess Fit = -0.14 Date_of_death = May2009 Loess Fit = -0.14 Date_of_death = Apr2009 Loess Fit = -0.139 Date_of_death = Apr2009 Loess Fit = -0.139 Date_of_death = Mar2009 Loess Fit = -0.138 Date_of_death = Mar2009 Loess Fit = -0.138 Date_of_death = Jan2009 Loess Fit = -0.138 Date_of_death = Jan2009 Loess Fit = -0.138 Date_of_death = Dec2008 Loess Fit = -0.137 Date_of_death = Dec2008 Loess Fit = -0.137 Date_of_death = Nov2008 Loess Fit = -0.136 Date_of_death = Nov2008 Loess Fit = -0.136 Date_of_death = Oct2008 Loess Fit = -0.136 Date_of_death = Oct2008 Loess Fit = -0.136 Date_of_death = Sep2008 Loess Fit = -0.135 Date_of_death = Sep2008 Loess Fit = -0.135 Date_of_death = Aug2008 Loess Fit = -0.134 Date_of_death = Aug2008 Loess Fit = -0.134 Date_of_death = Jul2008 Loess Fit = -0.134 Date_of_death = Jul2008 Loess Fit = -0.134 Date_of_death = Jun2008 Loess Fit = -0.133 Date_of_death = Jun2008 Loess Fit = -0.133 Date_of_death = May2008 Loess Fit = -0.132 Date_of_death = May2008 Loess Fit = -0.132 Date_of_death = Mar2008 Loess Fit = -0.131 Date_of_death = Mar2008 Loess Fit = -0.131 Date_of_death = Feb2008 Loess Fit = -0.131 Date_of_death = Feb2008 Loess Fit = -0.131 Date_of_death = Jan2008 Loess Fit = -0.13 Date_of_death = Jan2008 Loess Fit = -0.13 Date_of_death = Dec2007 Loess Fit = -0.129 Date_of_death = Dec2007 Loess Fit = -0.129 Date_of_death = Nov2007 Loess Fit = -0.129 Date_of_death = Nov2007 Loess Fit = -0.129 Date_of_death = Oct2007 Loess Fit = -0.128 Date_of_death = Oct2007 Loess Fit = -0.128 Date_of_death = Sep2007 Loess Fit = -0.127 Date_of_death = Sep2007 Loess Fit = -0.127 Date_of_death = Aug2007 Loess Fit = -0.127 Date_of_death = Aug2007 Loess Fit = -0.127 Date_of_death = Jul2007 Loess Fit = -0.126 Date_of_death = Jul2007 Loess Fit = -0.126 Date_of_death = May2007 Loess Fit = -0.125 Date_of_death = May2007 Loess Fit = -0.125 Date_of_death = Apr2007 Loess Fit = -0.125 Date_of_death = Apr2007 Loess Fit = -0.125 Date_of_death = Mar2007 Loess Fit = -0.124 Date_of_death = Mar2007 Loess Fit = -0.124 Date_of_death = Feb2007 Loess Fit = -0.123 Date_of_death = Feb2007 Loess Fit = -0.123 Date_of_death = Jan2007 Loess Fit = -0.123 Date_of_death = Jan2007 Loess Fit = -0.123 Date_of_death = Dec2006 Loess Fit = -0.122 Date_of_death = Dec2006 Loess Fit = -0.122 Date_of_death = Nov2006 Loess Fit = -0.121 Date_of_death = Nov2006 Loess Fit = -0.121 Date_of_death = Oct2006 Loess Fit = -0.121 Date_of_death = Oct2006 Loess Fit = -0.121 Date_of_death = Aug2006 Loess Fit = -0.12 Date_of_death = Aug2006 Loess Fit = -0.12 Date_of_death = Jul2006 Loess Fit = -0.119 Date_of_death = Jul2006 Loess Fit = -0.119 Date_of_death = Jun2006 Loess Fit = -0.118 Date_of_death = Jun2006 Loess Fit = -0.118 Date_of_death = May2006 Loess Fit = -0.118 Date_of_death = May2006 Loess Fit = -0.118 Date_of_death = Apr2006 Loess Fit = -0.117 Date_of_death = Apr2006 Loess Fit = -0.117 Date_of_death = Mar2006 Loess Fit = -0.116 Date_of_death = Mar2006 Loess Fit = -0.116 Date_of_death = Feb2006 Loess Fit = -0.116 Date_of_death = Feb2006 Loess Fit = -0.116 Date_of_death = Jan2006 Loess Fit = -0.115 Date_of_death = Jan2006 Loess Fit = -0.115 Date_of_death = Dec2005 Loess Fit = -0.114 Date_of_death = Dec2005 Loess Fit = -0.114 Date_of_death = Oct2005 Loess Fit = -0.114 Date_of_death = Oct2005 Loess Fit = -0.114 Date_of_death = Sep2005 Loess Fit = -0.113 Date_of_death = Sep2005 Loess Fit = -0.113 Date_of_death = Aug2005 Loess Fit = -0.112 Date_of_death = Aug2005 Loess Fit = -0.112 Date_of_death = Jul2005 Loess Fit = -0.112 Date_of_death = Jul2005 Loess Fit = -0.112 Date_of_death = Jun2005 Loess Fit = -0.111 Date_of_death = Jun2005 Loess Fit = -0.111 Date_of_death = May2005 Loess Fit = -0.11 Date_of_death = May2005 Loess Fit = -0.11 Date_of_death = Apr2005 Loess Fit = -0.109 Date_of_death = Apr2005 Loess Fit = -0.109 Date_of_death = Mar2005 Loess Fit = -0.108 Date_of_death = Mar2005 Loess Fit = -0.108 Date_of_death = Jan2005 Loess Fit = -0.108 Date_of_death = Jan2005 Loess Fit = -0.108 Date_of_death = Dec2004 Loess Fit = -0.107 Date_of_death = Dec2004 Loess Fit = -0.107 Date_of_death = Nov2004 Loess Fit = -0.106 Date_of_death = Nov2004 Loess Fit = -0.106 Date_of_death = Oct2004 Loess Fit = -0.105 Date_of_death = Oct2004 Loess Fit = -0.105 Date_of_death = Sep2004 Loess Fit = -0.104 Date_of_death = Sep2004 Loess Fit = -0.104 Date_of_death = Aug2004 Loess Fit = -0.103 Date_of_death = Aug2004 Loess Fit = -0.103 Date_of_death = Jul2004 Loess Fit = -0.103 Date_of_death = Jul2004 Loess Fit = -0.103 Date_of_death = Jun2004 Loess Fit = -0.102 Date_of_death = Jun2004 Loess Fit = -0.102 Date_of_death = May2004 Loess Fit = -0.101 Date_of_death = May2004 Loess Fit = -0.101 Date_of_death = Mar2004 Loess Fit = -0.1 Date_of_death = Mar2004 Loess Fit = -0.1 Date_of_death = Feb2004 Loess Fit = -0.099 Date_of_death = Feb2004 Loess Fit = -0.099 Date_of_death = Jan2004 Loess Fit = -0.099 Date_of_death = Jan2004 Loess Fit = -0.099 Date_of_death = Dec2003 Loess Fit = -0.098 Date_of_death = Dec2003 Loess Fit = -0.098 Date_of_death = Nov2003 Loess Fit = -0.097 Date_of_death = Nov2003 Loess Fit = -0.097 Date_of_death = Oct2003 Loess Fit = -0.096 Date_of_death = Oct2003 Loess Fit = -0.096 Date_of_death = Sep2003 Loess Fit = -0.095 Date_of_death = Sep2003 Loess Fit = -0.095 Date_of_death = Aug2003 Loess Fit = -0.095 Date_of_death = Aug2003 Loess Fit = -0.095 Date_of_death = Jul2003 Loess Fit = -0.094 Date_of_death = Jul2003 Loess Fit = -0.094 Date_of_death = May2003 Loess Fit = -0.093 Date_of_death = May2003 Loess Fit = -0.093 Date_of_death = Apr2003 Loess Fit = -0.092 Date_of_death = Apr2003 Loess Fit = -0.092 Date_of_death = Mar2003 Loess Fit = -0.092 Date_of_death = Mar2003 Loess Fit = -0.092 Date_of_death = Feb2003 Loess Fit = -0.091 Date_of_death = Feb2003 Loess Fit = -0.091 Date_of_death = Jan2003 Loess Fit = -0.091 Date_of_death = Jan2003 Loess Fit = -0.091 Date_of_death = Dec2002 Loess Fit = -0.09 Date_of_death = Dec2002 Loess Fit = -0.09 Date_of_death = Nov2002 Loess Fit = -0.089 Date_of_death = Nov2002 Loess Fit = -0.089 Date_of_death = Oct2002 Loess Fit = -0.089 Date_of_death = Oct2002 Loess Fit = -0.089 Date_of_death = Aug2002 Loess Fit = -0.088 Date_of_death = Aug2002 Loess Fit = -0.088 Date_of_death = Jul2002 Loess Fit = -0.088 Date_of_death = Jul2002 Loess Fit = -0.088 Date_of_death = Jun2002 Loess Fit = -0.087 Date_of_death = Jun2002 Loess Fit = -0.087 Date_of_death = May2002 Loess Fit = -0.086 Date_of_death = May2002 Loess Fit = -0.086 Date_of_death = Apr2002 Loess Fit = -0.086 Date_of_death = Apr2002 Loess Fit = -0.086 Date_of_death = Mar2002 Loess Fit = -0.085 Date_of_death = Mar2002 Loess Fit = -0.085 Date_of_death = Feb2002 Loess Fit = -0.085 Date_of_death = Feb2002 Loess Fit = -0.085 Date_of_death = Jan2002 Loess Fit = -0.084 Date_of_death = Jan2002 Loess Fit = -0.084 Date_of_death = Dec2001 Loess Fit = -0.084 Date_of_death = Dec2001 Loess Fit = -0.084 Date_of_death = Oct2001 Loess Fit = -0.083 Date_of_death = Oct2001 Loess Fit = -0.083 Date_of_death = Sep2001 Loess Fit = -0.082 Date_of_death = Sep2001 Loess Fit = -0.082 Date_of_death = Aug2001 Loess Fit = -0.082 Date_of_death = Aug2001 Loess Fit = -0.082 Date_of_death = Jul2001 Loess Fit = -0.081 Date_of_death = Jul2001 Loess Fit = -0.081 Date_of_death = Jun2001 Loess Fit = -0.081 Date_of_death = Jun2001 Loess Fit = -0.081 Date_of_death = May2001 Loess Fit = -0.08 Date_of_death = May2001 Loess Fit = -0.08 Date_of_death = Apr2001 Loess Fit = -0.08 Date_of_death = Apr2001 Loess Fit = -0.08 Date_of_death = Mar2001 Loess Fit = -0.079 Date_of_death = Mar2001 Loess Fit = -0.079 Date_of_death = Feb2001 Loess Fit = -0.078 Date_of_death = Sep2019 Prediction Error = -1.9 Date_of_death = Aug2019 Prediction Error = 1.2277 Date_of_death = Jul2019 Prediction Error = 1.3861 Date_of_death = Jun2019 Prediction Error = -1.879 Date_of_death = May2019 Prediction Error = -0.115 Date_of_death = Apr2019 Prediction Error = 1.1146 Date_of_death = Mar2019 Prediction Error = -0.593 Date_of_death = Feb2019 Prediction Error = 1.7722 Date_of_death = Jan2019 Prediction Error = 1.1067 Date_of_death = Dec2018 Prediction Error = 2.3666 Date_of_death = Nov2018 Prediction Error = 1.3634 Date_of_death = Oct2018 Prediction Error = -1.193 Date_of_death = Sep2018 Prediction Error = -2.134 Date_of_death = Aug2018 Prediction Error = -1.981 Date_of_death = Jul2018 Prediction Error = -1.714 Date_of_death = Jun2018 Prediction Error = 1.381 Date_of_death = May2018 Prediction Error = -1.36 Date_of_death = Apr2018 Prediction Error = 1.3457 Date_of_death = Mar2018 Prediction Error = 1.5262 Date_of_death = Feb2018 Prediction Error = -1.536 Date_of_death = Jan2018 Prediction Error = -2.285 Date_of_death = Dec2017 Prediction Error = -0.793 Date_of_death = Nov2017 Prediction Error = 1.5601 Date_of_death = Oct2017 Prediction Error = 0.8979 Date_of_death = Sep2017 Prediction Error = -2.477 Date_of_death = Aug2017 Prediction Error = -1.039 Date_of_death = Jul2017 Prediction Error = 1.4522 Date_of_death = Jun2017 Prediction Error = -0.754 Date_of_death = May2017 Prediction Error = -1.65 Date_of_death = Apr2017 Prediction Error = 1.4996 Date_of_death = Mar2017 Prediction Error = 1.7275 Date_of_death = Feb2017 Prediction Error = -1.786 Date_of_death = Jan2017 Prediction Error = 0.8958 Date_of_death = Dec2016 Prediction Error = -1.01 Date_of_death = Nov2016 Prediction Error = 1.7905 Date_of_death = Oct2016 Prediction Error = -1.259 Date_of_death = Sep2016 Prediction Error = 0.6835 Date_of_death = Aug2016 Prediction Error = 1.0657 Date_of_death = Jul2016 Prediction Error = 1.7027 Date_of_death = Jun2016 Prediction Error = 1.4966 Date_of_death = May2016 Prediction Error = -0.79 Date_of_death = Apr2016 Prediction Error = -0.564 Date_of_death = Mar2016 Prediction Error = -1.359 Date_of_death = Feb2016 Prediction Error = 1.4685 Date_of_death = Jan2016 Prediction Error = 1.0786 Date_of_death = Dec2015 Prediction Error = -1.215 Date_of_death = Nov2015 Prediction Error = -0.127 Date_of_death = Oct2015 Prediction Error = -1.443 Date_of_death = Sep2015 Prediction Error = 0.8191 Date_of_death = Aug2015 Prediction Error = -2.335 Date_of_death = Jul2015 Prediction Error = -0.364 Date_of_death = Jun2015 Prediction Error = -1.763 Date_of_death = May2015 Prediction Error = 1.4224 Date_of_death = Apr2015 Prediction Error = -1.868 Date_of_death = Mar2015 Prediction Error = 1.8542 Date_of_death = Feb2015 Prediction Error = -1.937 Date_of_death = Jan2015 Prediction Error = 1.274 Date_of_death = Dec2014 Prediction Error = -1.508 Date_of_death = Nov2014 Prediction Error = 2.2102 Date_of_death = Oct2014 Prediction Error = -1.811 Date_of_death = Sep2014 Prediction Error = -2.464 Date_of_death = Aug2014 Prediction Error = 0.8187 Date_of_death = Jul2014 Prediction Error = -1.595 Date_of_death = Jun2014 Prediction Error = -2.103 Date_of_death = May2014 Prediction Error = 1.7117 Date_of_death = Apr2014 Prediction Error = 1.1573 Date_of_death = Mar2014 Prediction Error = -1.366 Date_of_death = Feb2014 Prediction Error = 1.1882 Date_of_death = Jan2014 Prediction Error = 1.4562 Date_of_death = Dec2013 Prediction Error = -0.736 Date_of_death = Nov2013 Prediction Error = -0.88 Date_of_death = Oct2013 Prediction Error = -0.863 Date_of_death = Sep2013 Prediction Error = 0.6159 Date_of_death = Aug2013 Prediction Error = 0.9876 Date_of_death = Jul2013 Prediction Error = -1.809 Date_of_death = Jun2013 Prediction Error = -0.112 Date_of_death = May2013 Prediction Error = -0.373 Date_of_death = Apr2013 Prediction Error = 1.3915 Date_of_death = Mar2013 Prediction Error = -1.679 Date_of_death = Feb2013 Prediction Error = 1.3623 Date_of_death = Jan2013 Prediction Error = -1.847 Date_of_death = Dec2012 Prediction Error = 1.5305 Date_of_death = Nov2012 Prediction Error = 0.1171 Date_of_death = Oct2012 Prediction Error = -2.213 Date_of_death = Sep2012 Prediction Error = 0.7257 Date_of_death = Aug2012 Prediction Error = -1.173 Date_of_death = Jul2012 Prediction Error = 0.2371 Date_of_death = Jun2012 Prediction Error = 1.0239 Date_of_death = May2012 Prediction Error = 0.6478 Date_of_death = Apr2012 Prediction Error = 1.6506 Date_of_death = Mar2012 Prediction Error = -2.045 Date_of_death = Feb2012 Prediction Error = -1.813 Date_of_death = Jan2012 Prediction Error = 1.3467 Date_of_death = Dec2011 Prediction Error = 0.5691 Date_of_death = Nov2011 Prediction Error = -0.993 Date_of_death = Oct2011 Prediction Error = -1.419 Date_of_death = Sep2011 Prediction Error = 0.9169 Date_of_death = Aug2011 Prediction Error = -0.235 Date_of_death = Jul2011 Prediction Error = -2.109 Date_of_death = Jun2011 Prediction Error = -1.151 Date_of_death = May2011 Prediction Error = -0.492 Date_of_death = Apr2011 Prediction Error = -0.406 Date_of_death = Mar2011 Prediction Error = 1.1302 Date_of_death = Feb2011 Prediction Error = -1.071 Date_of_death = Jan2011 Prediction Error = -2.002 Date_of_death = Dec2010 Prediction Error = -0.503 Date_of_death = Nov2010 Prediction Error = -1.191 Date_of_death = Oct2010 Prediction Error = 0.6088 Date_of_death = Sep2010 Prediction Error = -2.548 Date_of_death = Aug2010 Prediction Error = -0.243 Date_of_death = Jul2010 Prediction Error = -2.526 Date_of_death = Jun2010 Prediction Error = 0.989 Date_of_death = May2010 Prediction Error = -1.86 Date_of_death = Apr2010 Prediction Error = 1.7916 Date_of_death = Mar2010 Prediction Error = 1.2268 Date_of_death = Feb2010 Prediction Error = 1.0527 Date_of_death = Jan2010 Prediction Error = 1.1324 Date_of_death = Dec2009 Prediction Error = -1.799 Date_of_death = Nov2009 Prediction Error = -1.409 Date_of_death = Oct2009 Prediction Error = 0.8004 Date_of_death = Sep2009 Prediction Error = 0.5191 Date_of_death = Aug2009 Prediction Error = -1.409 Date_of_death = Jul2009 Prediction Error = -2.977 Date_of_death = Jun2009 Prediction Error = 1.2864 Date_of_death = May2009 Prediction Error = 1.2688 Date_of_death = Apr2009 Prediction Error = 2.0465 Date_of_death = Mar2009 Prediction Error = -1.006 Date_of_death = Feb2009 Prediction Error = -1.152 Date_of_death = Jan2009 Prediction Error = -2.185 Date_of_death = Dec2008 Prediction Error = -2.093 Date_of_death = Nov2008 Prediction Error = 1.8836 Date_of_death = Oct2008 Prediction Error = 0.8593 Date_of_death = Sep2008 Prediction Error = 0.607 Date_of_death = Aug2008 Prediction Error = 0.7657 Date_of_death = Jul2008 Prediction Error = -0.009 Date_of_death = Jun2008 Prediction Error = -2.08 Date_of_death = May2008 Prediction Error = -2.104 Date_of_death = Apr2008 Prediction Error = -1.119 Date_of_death = Mar2008 Prediction Error = 1.1902 Date_of_death = Feb2008 Prediction Error = 1.0089 Date_of_death = Jan2008 Prediction Error = 1.0083 Date_of_death = Dec2007 Prediction Error = -2.586 Date_of_death = Nov2007 Prediction Error = -1.338 Date_of_death = Oct2007 Prediction Error = -2.613 Date_of_death = Sep2007 Prediction Error = 0.6985 Date_of_death = Aug2007 Prediction Error = 0.8377 Date_of_death = Jul2007 Prediction Error = -0.037 Date_of_death = Jun2007 Prediction Error = 1.1244 Date_of_death = May2007 Prediction Error = 1.0711 Date_of_death = Apr2007 Prediction Error = 2.2139 Date_of_death = Mar2007 Prediction Error = 1.3661 Date_of_death = Feb2007 Prediction Error = 1.1706 Date_of_death = Jan2007 Prediction Error = 1.2905 Date_of_death = Dec2006 Prediction Error = 0.5641 Date_of_death = Nov2006 Prediction Error = -1.516 Date_of_death = Oct2006 Prediction Error = 0.5651 Date_of_death = Sep2006 Prediction Error = 0.9012 Date_of_death = Aug2006 Prediction Error = 1.0866 Date_of_death = Jul2006 Prediction Error = -0.011 Date_of_death = Jun2006 Prediction Error = 1.4254 Date_of_death = May2006 Prediction Error = 1.3031 Date_of_death = Apr2006 Prediction Error = -0.958 Date_of_death = Mar2006 Prediction Error = 1.7098 Date_of_death = Feb2006 Prediction Error = 1.42 Date_of_death = Jan2006 Prediction Error = 1.6243 Date_of_death = Dec2005 Prediction Error = -2.983 Date_of_death = Nov2005 Prediction Error = -1.808 Date_of_death = Oct2005 Prediction Error = 0.7534 Date_of_death = Sep2005 Prediction Error = 1.1219 Date_of_death = Aug2005 Prediction Error = -2.383 Date_of_death = Jul2005 Prediction Error = 0.0083 Date_of_death = Jun2005 Prediction Error = -1.998 Date_of_death = May2005 Prediction Error = -2.087 Date_of_death = Apr2005 Prediction Error = -1.232 Date_of_death = Mar2005 Prediction Error = -1.68 Date_of_death = Feb2005 Prediction Error = 1.694 Date_of_death = Jan2005 Prediction Error = 2.0658 Date_of_death = Dec2004 Prediction Error = -0.013 Date_of_death = Nov2004 Prediction Error = 1.4961 Date_of_death = Oct2004 Prediction Error = -2.984 Date_of_death = Sep2004 Prediction Error = 1.4944 Date_of_death = Aug2004 Prediction Error = 0.7492 Date_of_death = Jul2004 Prediction Error = 0.0198 Date_of_death = Jun2004 Prediction Error = 1.335 Date_of_death = May2004 Prediction Error = 1.206 Date_of_death = Apr2004 Prediction Error = -1.542 Date_of_death = Mar2004 Prediction Error = -2.152 Date_of_death = Feb2004 Prediction Error = 2.1983 Date_of_death = Jan2004 Prediction Error = -1.298 Date_of_death = Dec2003 Prediction Error = -0.027 Date_of_death = Nov2003 Prediction Error = -2.007 Date_of_death = Oct2003 Prediction Error = 0.0231 Date_of_death = Sep2003 Prediction Error = 2.0303 Date_of_death = Aug2003 Prediction Error = 1.0028 Date_of_death = Jul2003 Prediction Error = -0.007 Date_of_death = Jun2003 Prediction Error = -2.312 Date_of_death = May2003 Prediction Error = 1.6866 Date_of_death = Apr2003 Prediction Error = 2.0154 Date_of_death = Mar2003 Prediction Error = -3 Date_of_death = Feb2003 Prediction Error = -1.053 Date_of_death = Jan2003 Prediction Error = -1.982 Date_of_death = Dec2002 Prediction Error = -0.002 Date_of_death = Nov2002 Prediction Error = 1.5177 Date_of_death = Oct2002 Prediction Error = -0.01 Date_of_death = Sep2002 Prediction Error = -1.512 Date_of_death = Aug2002 Prediction Error = 1.5258 Date_of_death = Jul2002 Prediction Error = -77E-5 Date_of_death = Jun2002 Prediction Error = 1.0199 Date_of_death = May2002 Prediction Error = -0.535 Date_of_death = Apr2002 Prediction Error = -1.476 Date_of_death = Mar2002 Prediction Error = 0.0189 Date_of_death = Feb2002 Prediction Error = 3.0005 Date_of_death = Jan2002 Prediction Error = -1.995 Date_of_death = Dec2001 Prediction Error = -0.009 Date_of_death = Nov2001 Prediction Error = -2.999 Date_of_death = Oct2001 Prediction Error = 0.0169 Date_of_death = Sep2001 Prediction Error = 2.9923 Date_of_death = Aug2001 Prediction Error = -2.997 Date_of_death = Jul2001 Prediction Error = -0.007 Date_of_death = Jun2001 Prediction Error = -1.985 Date_of_death = May2001 Prediction Error = 2.9899 Date_of_death = Apr2001 Prediction Error = -3 Date_of_death = Mar2001 Prediction Error = -9E-16 Date_of_death = Feb2001 Prediction Error = -4E-16 Date_of_death = Sep2019 2*STD = 2.913 -2*STD = -2.913 Date_of_death = Aug2019 2*STD = 2.913 -2*STD = -2.913 Date_of_death = Aug2019 2*STD = 2.913 -2*STD = -2.913 Date_of_death = Jul2019 2*STD = 2.913 -2*STD = -2.913 Date_of_death = Jul2019 2*STD = 2.913 -2*STD = -2.913 Date_of_death = Jun2019 2*STD = 2.9131 -2*STD = -2.913 Date_of_death = Jun2019 2*STD = 2.9131 -2*STD = -2.913 Date_of_death = May2019 2*STD = 2.9131 -2*STD = -2.913 Date_of_death = May2019 2*STD = 2.9131 -2*STD = -2.913 Date_of_death = Apr2019 2*STD = 2.9131 -2*STD = -2.913 Date_of_death = Apr2019 2*STD = 2.9131 -2*STD = -2.913 Date_of_death = Mar2019 2*STD = 2.9131 -2*STD = -2.913 Date_of_death = Mar2019 2*STD = 2.9131 -2*STD = -2.913 Date_of_death = Feb2019 2*STD = 2.9132 -2*STD = -2.913 Date_of_death = Feb2019 2*STD = 2.9132 -2*STD = -2.913 Date_of_death = Jan2019 2*STD = 2.9138 -2*STD = -2.914 Date_of_death = Jan2019 2*STD = 2.9138 -2*STD = -2.914 Date_of_death = Dec2018 2*STD = 2.9138 -2*STD = -2.914 Date_of_death = Dec2018 2*STD = 2.9138 -2*STD = -2.914 Date_of_death = Nov2018 2*STD = 2.9138 -2*STD = -2.914 Date_of_death = Nov2018 2*STD = 2.9138 -2*STD = -2.914 Date_of_death = Oct2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = Oct2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = Sep2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = Sep2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = Aug2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = Aug2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = Jul2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = Jul2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = Jun2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = Jun2018 2*STD = 2.9139 -2*STD = -2.914 Date_of_death = May2018 2*STD = 2.914 -2*STD = -2.914 Date_of_death = May2018 2*STD = 2.914 -2*STD = -2.914 Date_of_death = Apr2018 2*STD = 2.914 -2*STD = -2.914 Date_of_death = Apr2018 2*STD = 2.914 -2*STD = -2.914 Date_of_death = Mar2018 2*STD = 2.914 -2*STD = -2.914 Date_of_death = Mar2018 2*STD = 2.914 -2*STD = -2.914 Date_of_death = Feb2018 2*STD = 2.9141 -2*STD = -2.914 Date_of_death = Feb2018 2*STD = 2.9141 -2*STD = -2.914 Date_of_death = Jan2018 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Jan2018 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Dec2017 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Dec2017 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Nov2017 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Nov2017 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Oct2017 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Oct2017 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Sep2017 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Sep2017 2*STD = 2.9149 -2*STD = -2.915 Date_of_death = Aug2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = Aug2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = Jul2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = Jul2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = Jun2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = Jun2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = May2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = May2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = Apr2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = Apr2017 2*STD = 2.915 -2*STD = -2.915 Date_of_death = Mar2017 2*STD = 2.9151 -2*STD = -2.915 Date_of_death = Mar2017 2*STD = 2.9151 -2*STD = -2.915 Date_of_death = Feb2017 2*STD = 2.9151 -2*STD = -2.915 Date_of_death = Feb2017 2*STD = 2.9151 -2*STD = -2.915 Date_of_death = Jan2017 2*STD = 2.9161 -2*STD = -2.916 Date_of_death = Jan2017 2*STD = 2.9161 -2*STD = -2.916 Date_of_death = Dec2016 2*STD = 2.9162 -2*STD = -2.916 Date_of_death = Dec2016 2*STD = 2.9162 -2*STD = -2.916 Date_of_death = Nov2016 2*STD = 2.9162 -2*STD = -2.916 Date_of_death = Nov2016 2*STD = 2.9162 -2*STD = -2.916 Date_of_death = Oct2016 2*STD = 2.9162 -2*STD = -2.916 Date_of_death = Oct2016 2*STD = 2.9162 -2*STD = -2.916 Date_of_death = Sep2016 2*STD = 2.9162 -2*STD = -2.916 Date_of_death = Sep2016 2*STD = 2.9162 -2*STD = -2.916 Date_of_death = Aug2016 2*STD = 2.9163 -2*STD = -2.916 Date_of_death = Aug2016 2*STD = 2.9163 -2*STD = -2.916 Date_of_death = Jul2016 2*STD = 2.9163 -2*STD = -2.916 Date_of_death = Jul2016 2*STD = 2.9163 -2*STD = -2.916 Date_of_death = Jun2016 2*STD = 2.9163 -2*STD = -2.916 Date_of_death = Jun2016 2*STD = 2.9163 -2*STD = -2.916 Date_of_death = May2016 2*STD = 2.9163 -2*STD = -2.916 Date_of_death = May2016 2*STD = 2.9163 -2*STD = -2.916 Date_of_death = Apr2016 2*STD = 2.9164 -2*STD = -2.916 Date_of_death = Apr2016 2*STD = 2.9164 -2*STD = -2.916 Date_of_death = Mar2016 2*STD = 2.9164 -2*STD = -2.916 Date_of_death = Mar2016 2*STD = 2.9164 -2*STD = -2.916 Date_of_death = Feb2016 2*STD = 2.9165 -2*STD = -2.916 Date_of_death = Feb2016 2*STD = 2.9165 -2*STD = -2.916 Date_of_death = Jan2016 2*STD = 2.9178 -2*STD = -2.918 Date_of_death = Jan2016 2*STD = 2.9178 -2*STD = -2.918 Date_of_death = Dec2015 2*STD = 2.9178 -2*STD = -2.918 Date_of_death = Dec2015 2*STD = 2.9178 -2*STD = -2.918 Date_of_death = Nov2015 2*STD = 2.9178 -2*STD = -2.918 Date_of_death = Nov2015 2*STD = 2.9178 -2*STD = -2.918 Date_of_death = Oct2015 2*STD = 2.9178 -2*STD = -2.918 Date_of_death = Oct2015 2*STD = 2.9178 -2*STD = -2.918 Date_of_death = Sep2015 2*STD = 2.9179 -2*STD = -2.918 Date_of_death = Sep2015 2*STD = 2.9179 -2*STD = -2.918 Date_of_death = Aug2015 2*STD = 2.9179 -2*STD = -2.918 Date_of_death = Aug2015 2*STD = 2.9179 -2*STD = -2.918 Date_of_death = Jul2015 2*STD = 2.9179 -2*STD = -2.918 Date_of_death = Jul2015 2*STD = 2.9179 -2*STD = -2.918 Date_of_death = Jun2015 2*STD = 2.9179 -2*STD = -2.918 Date_of_death = Jun2015 2*STD = 2.9179 -2*STD = -2.918 Date_of_death = May2015 2*STD = 2.918 -2*STD = -2.918 Date_of_death = May2015 2*STD = 2.918 -2*STD = -2.918 Date_of_death = Apr2015 2*STD = 2.918 -2*STD = -2.918 Date_of_death = Apr2015 2*STD = 2.918 -2*STD = -2.918 Date_of_death = Mar2015 2*STD = 2.918 -2*STD = -2.918 Date_of_death = Mar2015 2*STD = 2.918 -2*STD = -2.918 Date_of_death = Feb2015 2*STD = 2.9181 -2*STD = -2.918 Date_of_death = Feb2015 2*STD = 2.9181 -2*STD = -2.918 Date_of_death = Jan2015 2*STD = 2.9198 -2*STD = -2.92 Date_of_death = Jan2015 2*STD = 2.9198 -2*STD = -2.92 Date_of_death = Dec2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Dec2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Nov2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Nov2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Oct2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Oct2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Sep2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Sep2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Aug2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Aug2014 2*STD = 2.9199 -2*STD = -2.92 Date_of_death = Jul2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = Jul2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = Jun2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = Jun2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = May2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = May2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = Apr2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = Apr2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = Mar2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = Mar2014 2*STD = 2.92 -2*STD = -2.92 Date_of_death = Feb2014 2*STD = 2.9201 -2*STD = -2.92 Date_of_death = Feb2014 2*STD = 2.9201 -2*STD = -2.92 Date_of_death = Jan2014 2*STD = 2.9224 -2*STD = -2.922 Date_of_death = Jan2014 2*STD = 2.9224 -2*STD = -2.922 Date_of_death = Dec2013 2*STD = 2.9224 -2*STD = -2.922 Date_of_death = Dec2013 2*STD = 2.9224 -2*STD = -2.922 Date_of_death = Nov2013 2*STD = 2.9224 -2*STD = -2.922 Date_of_death = Nov2013 2*STD = 2.9224 -2*STD = -2.922 Date_of_death = Oct2013 2*STD = 2.9225 -2*STD = -2.922 Date_of_death = Oct2013 2*STD = 2.9225 -2*STD = -2.922 Date_of_death = Sep2013 2*STD = 2.9225 -2*STD = -2.922 Date_of_death = Sep2013 2*STD = 2.9225 -2*STD = -2.922 Date_of_death = Aug2013 2*STD = 2.9225 -2*STD = -2.923 Date_of_death = Aug2013 2*STD = 2.9225 -2*STD = -2.923 Date_of_death = Jul2013 2*STD = 2.9225 -2*STD = -2.923 Date_of_death = Jul2013 2*STD = 2.9225 -2*STD = -2.923 Date_of_death = Jun2013 2*STD = 2.9226 -2*STD = -2.923 Date_of_death = Jun2013 2*STD = 2.9226 -2*STD = -2.923 Date_of_death = May2013 2*STD = 2.9226 -2*STD = -2.923 Date_of_death = May2013 2*STD = 2.9226 -2*STD = -2.923 Date_of_death = Apr2013 2*STD = 2.9226 -2*STD = -2.923 Date_of_death = Apr2013 2*STD = 2.9226 -2*STD = -2.923 Date_of_death = Mar2013 2*STD = 2.9226 -2*STD = -2.923 Date_of_death = Mar2013 2*STD = 2.9226 -2*STD = -2.923 Date_of_death = Feb2013 2*STD = 2.9227 -2*STD = -2.923 Date_of_death = Feb2013 2*STD = 2.9227 -2*STD = -2.923 Date_of_death = Jan2013 2*STD = 2.9257 -2*STD = -2.926 Date_of_death = Jan2013 2*STD = 2.9257 -2*STD = -2.926 Date_of_death = Dec2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Dec2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Nov2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Nov2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Oct2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Oct2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Sep2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Sep2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Aug2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Aug2012 2*STD = 2.9258 -2*STD = -2.926 Date_of_death = Jul2012 2*STD = 2.9259 -2*STD = -2.926 Date_of_death = Jul2012 2*STD = 2.9259 -2*STD = -2.926 Date_of_death = Jun2012 2*STD = 2.9259 -2*STD = -2.926 Date_of_death = Jun2012 2*STD = 2.9259 -2*STD = -2.926 Date_of_death = May2012 2*STD = 2.9259 -2*STD = -2.926 Date_of_death = May2012 2*STD = 2.9259 -2*STD = -2.926 Date_of_death = Apr2012 2*STD = 2.926 -2*STD = -2.926 Date_of_death = Apr2012 2*STD = 2.926 -2*STD = -2.926 Date_of_death = Mar2012 2*STD = 2.926 -2*STD = -2.926 Date_of_death = Mar2012 2*STD = 2.926 -2*STD = -2.926 Date_of_death = Feb2012 2*STD = 2.9261 -2*STD = -2.926 Date_of_death = Feb2012 2*STD = 2.9261 -2*STD = -2.926 Date_of_death = Jan2012 2*STD = 2.9301 -2*STD = -2.93 Date_of_death = Jan2012 2*STD = 2.9301 -2*STD = -2.93 Date_of_death = Dec2011 2*STD = 2.9301 -2*STD = -2.93 Date_of_death = Dec2011 2*STD = 2.9301 -2*STD = -2.93 Date_of_death = Nov2011 2*STD = 2.9301 -2*STD = -2.93 Date_of_death = Nov2011 2*STD = 2.9301 -2*STD = -2.93 Date_of_death = Oct2011 2*STD = 2.9301 -2*STD = -2.93 Date_of_death = Oct2011 2*STD = 2.9301 -2*STD = -2.93 Date_of_death = Sep2011 2*STD = 2.9302 -2*STD = -2.93 Date_of_death = Sep2011 2*STD = 2.9302 -2*STD = -2.93 Date_of_death = Aug2011 2*STD = 2.9302 -2*STD = -2.93 Date_of_death = Aug2011 2*STD = 2.9302 -2*STD = -2.93 Date_of_death = Jul2011 2*STD = 2.9302 -2*STD = -2.93 Date_of_death = Jul2011 2*STD = 2.9302 -2*STD = -2.93 Date_of_death = Jun2011 2*STD = 2.9302 -2*STD = -2.93 Date_of_death = Jun2011 2*STD = 2.9302 -2*STD = -2.93 Date_of_death = May2011 2*STD = 2.9303 -2*STD = -2.93 Date_of_death = May2011 2*STD = 2.9303 -2*STD = -2.93 Date_of_death = Apr2011 2*STD = 2.9303 -2*STD = -2.93 Date_of_death = Apr2011 2*STD = 2.9303 -2*STD = -2.93 Date_of_death = Mar2011 2*STD = 2.9303 -2*STD = -2.93 Date_of_death = Mar2011 2*STD = 2.9303 -2*STD = -2.93 Date_of_death = Feb2011 2*STD = 2.9304 -2*STD = -2.93 Date_of_death = Feb2011 2*STD = 2.9304 -2*STD = -2.93 Date_of_death = Jan2011 2*STD = 2.9358 -2*STD = -2.936 Date_of_death = Jan2011 2*STD = 2.9358 -2*STD = -2.936 Date_of_death = Dec2010 2*STD = 2.9359 -2*STD = -2.936 Date_of_death = Dec2010 2*STD = 2.9359 -2*STD = -2.936 Date_of_death = Nov2010 2*STD = 2.9359 -2*STD = -2.936 Date_of_death = Nov2010 2*STD = 2.9359 -2*STD = -2.936 Date_of_death = Oct2010 2*STD = 2.9359 -2*STD = -2.936 Date_of_death = Oct2010 2*STD = 2.9359 -2*STD = -2.936 Date_of_death = Sep2010 2*STD = 2.9359 -2*STD = -2.936 Date_of_death = Sep2010 2*STD = 2.9359 -2*STD = -2.936 Date_of_death = Aug2010 2*STD = 2.936 -2*STD = -2.936 Date_of_death = Aug2010 2*STD = 2.936 -2*STD = -2.936 Date_of_death = Jul2010 2*STD = 2.936 -2*STD = -2.936 Date_of_death = Jul2010 2*STD = 2.936 -2*STD = -2.936 Date_of_death = Jun2010 2*STD = 2.936 -2*STD = -2.936 Date_of_death = Jun2010 2*STD = 2.936 -2*STD = -2.936 Date_of_death = May2010 2*STD = 2.936 -2*STD = -2.936 Date_of_death = May2010 2*STD = 2.936 -2*STD = -2.936 Date_of_death = Apr2010 2*STD = 2.9361 -2*STD = -2.936 Date_of_death = Apr2010 2*STD = 2.9361 -2*STD = -2.936 Date_of_death = Mar2010 2*STD = 2.9361 -2*STD = -2.936 Date_of_death = Mar2010 2*STD = 2.9361 -2*STD = -2.936 Date_of_death = Feb2010 2*STD = 2.9362 -2*STD = -2.936 Date_of_death = Feb2010 2*STD = 2.9362 -2*STD = -2.936 Date_of_death = Jan2010 2*STD = 2.9436 -2*STD = -2.944 Date_of_death = Jan2010 2*STD = 2.9436 -2*STD = -2.944 Date_of_death = Dec2009 2*STD = 2.9436 -2*STD = -2.944 Date_of_death = Dec2009 2*STD = 2.9436 -2*STD = -2.944 Date_of_death = Nov2009 2*STD = 2.9436 -2*STD = -2.944 Date_of_death = Nov2009 2*STD = 2.9436 -2*STD = -2.944 Date_of_death = Oct2009 2*STD = 2.9437 -2*STD = -2.944 Date_of_death = Oct2009 2*STD = 2.9437 -2*STD = -2.944 Date_of_death = Sep2009 2*STD = 2.9437 -2*STD = -2.944 Date_of_death = Sep2009 2*STD = 2.9437 -2*STD = -2.944 Date_of_death = Aug2009 2*STD = 2.9437 -2*STD = -2.944 Date_of_death = Aug2009 2*STD = 2.9437 -2*STD = -2.944 Date_of_death = Jul2009 2*STD = 2.9437 -2*STD = -2.944 Date_of_death = Jul2009 2*STD = 2.9437 -2*STD = -2.944 Date_of_death = Jun2009 2*STD = 2.9438 -2*STD = -2.944 Date_of_death = Jun2009 2*STD = 2.9438 -2*STD = -2.944 Date_of_death = May2009 2*STD = 2.9438 -2*STD = -2.944 Date_of_death = May2009 2*STD = 2.9438 -2*STD = -2.944 Date_of_death = Apr2009 2*STD = 2.9438 -2*STD = -2.944 Date_of_death = Apr2009 2*STD = 2.9438 -2*STD = -2.944 Date_of_death = Mar2009 2*STD = 2.9438 -2*STD = -2.944 Date_of_death = Mar2009 2*STD = 2.9438 -2*STD = -2.944 Date_of_death = Feb2009 2*STD = 2.9439 -2*STD = -2.944 Date_of_death = Feb2009 2*STD = 2.9439 -2*STD = -2.944 Date_of_death = Jan2009 2*STD = 2.9542 -2*STD = -2.954 Date_of_death = Jan2009 2*STD = 2.9542 -2*STD = -2.954 Date_of_death = Dec2008 2*STD = 2.9543 -2*STD = -2.954 Date_of_death = Dec2008 2*STD = 2.9543 -2*STD = -2.954 Date_of_death = Nov2008 2*STD = 2.9543 -2*STD = -2.954 Date_of_death = Nov2008 2*STD = 2.9543 -2*STD = -2.954 Date_of_death = Oct2008 2*STD = 2.9543 -2*STD = -2.954 Date_of_death = Oct2008 2*STD = 2.9543 -2*STD = -2.954 Date_of_death = Sep2008 2*STD = 2.9543 -2*STD = -2.954 Date_of_death = Sep2008 2*STD = 2.9543 -2*STD = -2.954 Date_of_death = Aug2008 2*STD = 2.9544 -2*STD = -2.954 Date_of_death = Aug2008 2*STD = 2.9544 -2*STD = -2.954 Date_of_death = Jul2008 2*STD = 2.9544 -2*STD = -2.954 Date_of_death = Jul2008 2*STD = 2.9544 -2*STD = -2.954 Date_of_death = Jun2008 2*STD = 2.9544 -2*STD = -2.954 Date_of_death = Jun2008 2*STD = 2.9544 -2*STD = -2.954 Date_of_death = May2008 2*STD = 2.9544 -2*STD = -2.954 Date_of_death = May2008 2*STD = 2.9544 -2*STD = -2.954 Date_of_death = Apr2008 2*STD = 2.9545 -2*STD = -2.954 Date_of_death = Apr2008 2*STD = 2.9545 -2*STD = -2.954 Date_of_death = Mar2008 2*STD = 2.9545 -2*STD = -2.954 Date_of_death = Mar2008 2*STD = 2.9545 -2*STD = -2.954 Date_of_death = Feb2008 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Feb2008 2*STD = 2.9546 -2*STD = -2.955 Date_of_death = Jan2008 2*STD = 2.9692 -2*STD = -2.969 Date_of_death = Jan2008 2*STD = 2.9692 -2*STD = -2.969 Date_of_death = Dec2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Dec2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Nov2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Nov2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Oct2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Oct2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Sep2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Sep2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Aug2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Aug2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Jul2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Jul2007 2*STD = 2.9693 -2*STD = -2.969 Date_of_death = Jun2007 2*STD = 2.9694 -2*STD = -2.969 Date_of_death = Jun2007 2*STD = 2.9694 -2*STD = -2.969 Date_of_death = May2007 2*STD = 2.9694 -2*STD = -2.969 Date_of_death = May2007 2*STD = 2.9694 -2*STD = -2.969 Date_of_death = Apr2007 2*STD = 2.9694 -2*STD = -2.969 Date_of_death = Apr2007 2*STD = 2.9694 -2*STD = -2.969 Date_of_death = Mar2007 2*STD = 2.9694 -2*STD = -2.969 Date_of_death = Mar2007 2*STD = 2.9694 -2*STD = -2.969 Date_of_death = Feb2007 2*STD = 2.9695 -2*STD = -2.97 Date_of_death = Feb2007 2*STD = 2.9695 -2*STD = -2.97 Date_of_death = Jan2007 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Jan2007 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Dec2006 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Dec2006 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Nov2006 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Nov2006 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Oct2006 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Oct2006 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Sep2006 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Sep2006 2*STD = 2.9909 -2*STD = -2.991 Date_of_death = Aug2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = Aug2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = Jul2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = Jul2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = Jun2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = Jun2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = May2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = May2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = Apr2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = Apr2006 2*STD = 2.991 -2*STD = -2.991 Date_of_death = Mar2006 2*STD = 2.9911 -2*STD = -2.991 Date_of_death = Mar2006 2*STD = 2.9911 -2*STD = -2.991 Date_of_death = Feb2006 2*STD = 2.9911 -2*STD = -2.991 Date_of_death = Feb2006 2*STD = 2.9911 -2*STD = -2.991 Date_of_death = Jan2006 2*STD = 3.0234 -2*STD = -3.023 Date_of_death = Jan2006 2*STD = 3.0234 -2*STD = -3.023 Date_of_death = Dec2005 2*STD = 3.0234 -2*STD = -3.023 Date_of_death = Dec2005 2*STD = 3.0234 -2*STD = -3.023 Date_of_death = Nov2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Nov2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Oct2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Oct2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Sep2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Sep2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Aug2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Aug2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Jul2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Jul2005 2*STD = 3.0235 -2*STD = -3.023 Date_of_death = Jun2005 2*STD = 3.0235 -2*STD = -3.024 Date_of_death = Jun2005 2*STD = 3.0235 -2*STD = -3.024 Date_of_death = May2005 2*STD = 3.0235 -2*STD = -3.024 Date_of_death = May2005 2*STD = 3.0235 -2*STD = -3.024 Date_of_death = Apr2005 2*STD = 3.0235 -2*STD = -3.024 Date_of_death = Apr2005 2*STD = 3.0235 -2*STD = -3.024 Date_of_death = Mar2005 2*STD = 3.0236 -2*STD = -3.024 Date_of_death = Mar2005 2*STD = 3.0236 -2*STD = -3.024 Date_of_death = Feb2005 2*STD = 3.0236 -2*STD = -3.024 Date_of_death = Feb2005 2*STD = 3.0236 -2*STD = -3.024 Date_of_death = Jan2005 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Jan2005 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Dec2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Dec2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Nov2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Nov2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Oct2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Oct2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Sep2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Sep2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Aug2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Aug2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Jul2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Jul2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Jun2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Jun2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = May2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = May2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Apr2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Apr2004 2*STD = 3.0751 -2*STD = -3.075 Date_of_death = Mar2004 2*STD = 3.0752 -2*STD = -3.075 Date_of_death = Mar2004 2*STD = 3.0752 -2*STD = -3.075 Date_of_death = Feb2004 2*STD = 3.0752 -2*STD = -3.075 Date_of_death = Feb2004 2*STD = 3.0752 -2*STD = -3.075 Date_of_death = Jan2004 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Jan2004 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Dec2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Dec2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Nov2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Nov2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Oct2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Oct2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Sep2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Sep2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Aug2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Aug2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Jul2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Jul2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Jun2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Jun2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = May2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = May2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Apr2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Apr2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Mar2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Mar2003 2*STD = 3.1643 -2*STD = -3.164 Date_of_death = Feb2003 2*STD = 3.1644 -2*STD = -3.164 Date_of_death = Feb2003 2*STD = 3.1644 -2*STD = -3.164 Date_of_death = Jan2003 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Jan2003 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Dec2002 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Dec2002 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Nov2002 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Nov2002 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Oct2002 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Oct2002 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Sep2002 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Sep2002 2*STD = 3.3433 -2*STD = -3.343 Date_of_death = Aug2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Aug2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Jul2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Jul2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Jun2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Jun2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = May2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = May2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Apr2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Apr2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Mar2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Mar2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Feb2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Feb2002 2*STD = 3.3434 -2*STD = -3.343 Date_of_death = Jan2002 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Jan2002 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Dec2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Dec2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Nov2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Nov2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Oct2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Oct2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Sep2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Sep2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Aug2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Aug2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Jul2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Jul2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Jun2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Jun2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = May2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = May2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Apr2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Apr2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Mar2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Mar2001 2*STD = 3.8453 -2*STD = -3.845 Date_of_death = Feb2001 2*STD = 3.8453 -2*STD = -3.845 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
237 OCT2019 2.107591 1.45650 -0.747089 4.962271
238 NOV2019 2.806151 1.45689 -0.049310 5.661612
239 DEC2019 1.948511 1.45696 -0.907071 4.804094
240 JAN2020 3.005117 1.45704 0.149373 5.860861
241 FEB2020 2.479898 1.45692 -0.375604 5.335400
242 MAR2020 2.473575 1.45701 -0.382103 5.329254
243 APR2020 3.035188 1.45712 0.179279 5.891097
244 MAY2020 2.138809 1.45723 -0.717316 4.994935
245 JUN2020 2.577580 1.45734 -0.278750 5.433911
246 JUL2020 2.767226 1.45743 -0.089282 5.623733
247 AUG2020 2.981255 1.45747 0.124671 5.837840
248 SEP2020 2.634913 1.45775 -0.222228 5.492054

Forecasts Only Plot

Date_of_death = Sep2020 Forecast = 2.6349 Date_of_death = Aug2020 Forecast = 2.9813 Date_of_death = Aug2020 Forecast = 2.9813 Date_of_death = Jul2020 Forecast = 2.7672 Date_of_death = Jul2020 Forecast = 2.7672 Date_of_death = Jun2020 Forecast = 2.5776 Date_of_death = Jun2020 Forecast = 2.5776 Date_of_death = May2020 Forecast = 2.1388 Date_of_death = May2020 Forecast = 2.1388 Date_of_death = Apr2020 Forecast = 3.0352 Date_of_death = Apr2020 Forecast = 3.0352 Date_of_death = Mar2020 Forecast = 2.4736 Date_of_death = Mar2020 Forecast = 2.4736 Date_of_death = Feb2020 Forecast = 2.4799 Date_of_death = Feb2020 Forecast = 2.4799 Date_of_death = Jan2020 Forecast = 3.0051 Date_of_death = Jan2020 Forecast = 3.0051 Date_of_death = Dec2019 Forecast = 1.9485 Date_of_death = Dec2019 Forecast = 1.9485 Date_of_death = Nov2019 Forecast = 2.8062 Date_of_death = Nov2019 Forecast = 2.8062 Date_of_death = Oct2019 Forecast = 2.1076 Date_of_death = Sep2020 Upper 95% = 5.4921 Lower 95% = -0.2222 Date_of_death = Aug2020 Upper 95% = 5.8378 Lower 95% = 0.1247 Date_of_death = Aug2020 Upper 95% = 5.8378 Lower 95% = 0.1247 Date_of_death = Jul2020 Upper 95% = 5.6237 Lower 95% = -0.0893 Date_of_death = Jul2020 Upper 95% = 5.6237 Lower 95% = -0.0893 Date_of_death = Jun2020 Upper 95% = 5.4339 Lower 95% = -0.2787 Date_of_death = Jun2020 Upper 95% = 5.4339 Lower 95% = -0.2787 Date_of_death = May2020 Upper 95% = 4.9949 Lower 95% = -0.7173 Date_of_death = May2020 Upper 95% = 4.9949 Lower 95% = -0.7173 Date_of_death = Apr2020 Upper 95% = 5.8911 Lower 95% = 0.1793 Date_of_death = Apr2020 Upper 95% = 5.8911 Lower 95% = 0.1793 Date_of_death = Mar2020 Upper 95% = 5.3293 Lower 95% = -0.3821 Date_of_death = Mar2020 Upper 95% = 5.3293 Lower 95% = -0.3821 Date_of_death = Feb2020 Upper 95% = 5.3354 Lower 95% = -0.3756 Date_of_death = Feb2020 Upper 95% = 5.3354 Lower 95% = -0.3756 Date_of_death = Jan2020 Upper 95% = 5.8609 Lower 95% = 0.1494 Date_of_death = Jan2020 Upper 95% = 5.8609 Lower 95% = 0.1494 Date_of_death = Dec2019 Upper 95% = 4.8041 Lower 95% = -0.9071 Date_of_death = Dec2019 Upper 95% = 4.8041 Lower 95% = -0.9071 Date_of_death = Nov2019 Upper 95% = 5.6616 Lower 95% = -0.0493 Date_of_death = Nov2019 Upper 95% = 5.6616 Lower 95% = -0.0493 Date_of_death = Oct2019 Upper 95% = 4.9623 Lower 95% = -0.7471
Forecast Only Plot

Forecasts Plot

X = 21793 Date_of_death = Sep2020 Forecast = 2.6349 Date_of_death = Aug2020 Forecast = 2.9813 Date_of_death = Aug2020 Forecast = 2.9813 Date_of_death = Jul2020 Forecast = 2.7672 Date_of_death = Jul2020 Forecast = 2.7672 Date_of_death = Jun2020 Forecast = 2.5776 Date_of_death = Jun2020 Forecast = 2.5776 Date_of_death = May2020 Forecast = 2.1388 Date_of_death = May2020 Forecast = 2.1388 Date_of_death = Apr2020 Forecast = 3.0352 Date_of_death = Apr2020 Forecast = 3.0352 Date_of_death = Mar2020 Forecast = 2.4736 Date_of_death = Mar2020 Forecast = 2.4736 Date_of_death = Feb2020 Forecast = 2.4799 Date_of_death = Feb2020 Forecast = 2.4799 Date_of_death = Jan2020 Forecast = 3.0051 Date_of_death = Jan2020 Forecast = 3.0051 Date_of_death = Dec2019 Forecast = 1.9485 Date_of_death = Dec2019 Forecast = 1.9485 Date_of_death = Nov2019 Forecast = 2.8062 Date_of_death = Nov2019 Forecast = 2.8062 Date_of_death = Oct2019 Forecast = 2.1076 Date_of_death = Oct2019 Forecast = 2.1076 Date_of_death = Sep2019 Forecast = 2.8995 Date_of_death = Sep2019 Forecast = 2.8995 Date_of_death = Aug2019 Forecast = 2.7723 Date_of_death = Aug2019 Forecast = 2.7723 Date_of_death = Jul2019 Forecast = 2.6139 Date_of_death = Jul2019 Forecast = 2.6139 Date_of_death = Jun2019 Forecast = 2.8793 Date_of_death = Jun2019 Forecast = 2.8793 Date_of_death = May2019 Forecast = 2.1155 Date_of_death = May2019 Forecast = 2.1155 Date_of_death = Apr2019 Forecast = 2.8854 Date_of_death = Apr2019 Forecast = 2.8854 Date_of_death = Mar2019 Forecast = 2.5927 Date_of_death = Mar2019 Forecast = 2.5927 Date_of_death = Feb2019 Forecast = 2.2278 Date_of_death = Feb2019 Forecast = 2.2278 Date_of_death = Jan2019 Forecast = 2.8933 Date_of_death = Jan2019 Forecast = 2.8933 Date_of_death = Dec2018 Forecast = 1.6334 Date_of_death = Dec2018 Forecast = 1.6334 Date_of_death = Nov2018 Forecast = 2.6366 Date_of_death = Nov2018 Forecast = 2.6366 Date_of_death = Oct2018 Forecast = 2.1933 Date_of_death = Oct2018 Forecast = 2.1933 Date_of_death = Sep2018 Forecast = 3.1341 Date_of_death = Sep2018 Forecast = 3.1341 Date_of_death = Aug2018 Forecast = 2.9812 Date_of_death = Aug2018 Forecast = 2.9812 Date_of_death = Jul2018 Forecast = 2.7143 Date_of_death = Jul2018 Forecast = 2.7143 Date_of_death = Jun2018 Forecast = 2.6190 Date_of_death = Jun2018 Forecast = 2.6190 Date_of_death = May2018 Forecast = 2.3601 Date_of_death = May2018 Forecast = 2.3601 Date_of_death = Apr2018 Forecast = 2.6543 Date_of_death = Apr2018 Forecast = 2.6543 Date_of_death = Mar2018 Forecast = 2.4738 Date_of_death = Mar2018 Forecast = 2.4738 Date_of_death = Feb2018 Forecast = 2.5356 Date_of_death = Feb2018 Forecast = 2.5356 Date_of_death = Jan2018 Forecast = 3.2849 Date_of_death = Jan2018 Forecast = 3.2849 Date_of_death = Dec2017 Forecast = 1.7930 Date_of_death = Dec2017 Forecast = 1.7930 Date_of_death = Nov2017 Forecast = 2.4399 Date_of_death = Nov2017 Forecast = 2.4399 Date_of_death = Oct2017 Forecast = 2.1021 Date_of_death = Oct2017 Forecast = 2.1021 Date_of_death = Sep2017 Forecast = 3.4766 Date_of_death = Sep2017 Forecast = 3.4766 Date_of_death = Aug2017 Forecast = 3.0386 Date_of_death = Aug2017 Forecast = 3.0386 Date_of_death = Jul2017 Forecast = 2.5478 Date_of_death = Jul2017 Forecast = 2.5478 Date_of_death = Jun2017 Forecast = 2.7545 Date_of_death = Jun2017 Forecast = 2.7545 Date_of_death = May2017 Forecast = 2.6503 Date_of_death = May2017 Forecast = 2.6503 Date_of_death = Apr2017 Forecast = 2.5004 Date_of_death = Apr2017 Forecast = 2.5004 Date_of_death = Mar2017 Forecast = 2.2725 Date_of_death = Mar2017 Forecast = 2.2725 Date_of_death = Feb2017 Forecast = 2.7864 Date_of_death = Feb2017 Forecast = 2.7864 Date_of_death = Jan2017 Forecast = 3.1042 Date_of_death = Jan2017 Forecast = 3.1042 Date_of_death = Dec2016 Forecast = 2.0104 Date_of_death = Dec2016 Forecast = 2.0104 Date_of_death = Nov2016 Forecast = 2.2095 Date_of_death = Nov2016 Forecast = 2.2095 Date_of_death = Oct2016 Forecast = 2.2594 Date_of_death = Oct2016 Forecast = 2.2594 Date_of_death = Sep2016 Forecast = 3.3165 Date_of_death = Sep2016 Forecast = 3.3165 Date_of_death = Aug2016 Forecast = 2.9343 Date_of_death = Aug2016 Forecast = 2.9343 Date_of_death = Jul2016 Forecast = 2.2973 Date_of_death = Jul2016 Forecast = 2.2973 Date_of_death = Jun2016 Forecast = 2.5034 Date_of_death = Jun2016 Forecast = 2.5034 Date_of_death = May2016 Forecast = 2.7903 Date_of_death = May2016 Forecast = 2.7903 Date_of_death = Apr2016 Forecast = 2.5643 Date_of_death = Apr2016 Forecast = 2.5643 Date_of_death = Mar2016 Forecast = 2.3590 Date_of_death = Mar2016 Forecast = 2.3590 Date_of_death = Feb2016 Forecast = 2.5315 Date_of_death = Feb2016 Forecast = 2.5315 Date_of_death = Jan2016 Forecast = 2.9214 Date_of_death = Jan2016 Forecast = 2.9214 Date_of_death = Dec2015 Forecast = 2.2151 Date_of_death = Dec2015 Forecast = 2.2151 Date_of_death = Nov2015 Forecast = 2.1267 Date_of_death = Nov2015 Forecast = 2.1267 Date_of_death = Oct2015 Forecast = 2.4430 Date_of_death = Oct2015 Forecast = 2.4430 Date_of_death = Sep2015 Forecast = 3.1809 Date_of_death = Sep2015 Forecast = 3.1809 Date_of_death = Aug2015 Forecast = 3.3348 Date_of_death = Aug2015 Forecast = 3.3348 Date_of_death = Jul2015 Forecast = 2.3643 Date_of_death = Jul2015 Forecast = 2.3643 Date_of_death = Jun2015 Forecast = 2.7629 Date_of_death = Jun2015 Forecast = 2.7629 Date_of_death = May2015 Forecast = 2.5776 Date_of_death = May2015 Forecast = 2.5776 Date_of_death = Apr2015 Forecast = 2.8683 Date_of_death = Apr2015 Forecast = 2.8683 Date_of_death = Mar2015 Forecast = 2.1458 Date_of_death = Mar2015 Forecast = 2.1458 Date_of_death = Feb2015 Forecast = 2.9367 Date_of_death = Feb2015 Forecast = 2.9367 Date_of_death = Jan2015 Forecast = 2.7260 Date_of_death = Jan2015 Forecast = 2.7260 Date_of_death = Dec2014 Forecast = 2.5076 Date_of_death = Dec2014 Forecast = 2.5076 Date_of_death = Nov2014 Forecast = 1.7898 Date_of_death = Nov2014 Forecast = 1.7898 Date_of_death = Oct2014 Forecast = 2.8107 Date_of_death = Oct2014 Forecast = 2.8107 Date_of_death = Sep2014 Forecast = 3.4641 Date_of_death = Sep2014 Forecast = 3.4641 Date_of_death = Aug2014 Forecast = 3.1813 Date_of_death = Aug2014 Forecast = 3.1813 Date_of_death = Jul2014 Forecast = 2.5954 Date_of_death = Jul2014 Forecast = 2.5954 Date_of_death = Jun2014 Forecast = 3.1034 Date_of_death = Jun2014 Forecast = 3.1034 Date_of_death = May2014 Forecast = 2.2883 Date_of_death = May2014 Forecast = 2.2883 Date_of_death = Apr2014 Forecast = 2.8427 Date_of_death = Apr2014 Forecast = 2.8427 Date_of_death = Mar2014 Forecast = 2.3664 Date_of_death = Mar2014 Forecast = 2.3664 Date_of_death = Feb2014 Forecast = 2.8118 Date_of_death = Feb2014 Forecast = 2.8118 Date_of_death = Jan2014 Forecast = 2.5438 Date_of_death = Jan2014 Forecast = 2.5438 Date_of_death = Dec2013 Forecast = 2.7363 Date_of_death = Dec2013 Forecast = 2.7363 Date_of_death = Nov2013 Forecast = 1.8800 Date_of_death = Nov2013 Forecast = 1.8800 Date_of_death = Oct2013 Forecast = 2.8626 Date_of_death = Oct2013 Forecast = 2.8626 Date_of_death = Sep2013 Forecast = 3.3841 Date_of_death = Sep2013 Forecast = 3.3841 Date_of_death = Aug2013 Forecast = 3.0124 Date_of_death = Aug2013 Forecast = 3.0124 Date_of_death = Jul2013 Forecast = 2.8088 Date_of_death = Jul2013 Forecast = 2.8088 Date_of_death = Jun2013 Forecast = 3.1122 Date_of_death = Jun2013 Forecast = 3.1122 Date_of_death = May2013 Forecast = 2.3730 Date_of_death = May2013 Forecast = 2.3730 Date_of_death = Apr2013 Forecast = 2.6085 Date_of_death = Apr2013 Forecast = 2.6085 Date_of_death = Mar2013 Forecast = 2.6795 Date_of_death = Mar2013 Forecast = 2.6795 Date_of_death = Feb2013 Forecast = 2.6377 Date_of_death = Feb2013 Forecast = 2.6377 Date_of_death = Jan2013 Forecast = 2.8465 Date_of_death = Jan2013 Forecast = 2.8465 Date_of_death = Dec2012 Forecast = 2.4695 Date_of_death = Dec2012 Forecast = 2.4695 Date_of_death = Nov2012 Forecast = 1.8829 Date_of_death = Nov2012 Forecast = 1.8829 Date_of_death = Oct2012 Forecast = 3.2131 Date_of_death = Oct2012 Forecast = 3.2131 Date_of_death = Sep2012 Forecast = 3.2743 Date_of_death = Sep2012 Forecast = 3.2743 Date_of_death = Aug2012 Forecast = 3.1727 Date_of_death = Aug2012 Forecast = 3.1727 Date_of_death = Jul2012 Forecast = 2.7629 Date_of_death = Jul2012 Forecast = 2.7629 Date_of_death = Jun2012 Forecast = 2.9761 Date_of_death = Jun2012 Forecast = 2.9761 Date_of_death = May2012 Forecast = 2.3522 Date_of_death = May2012 Forecast = 2.3522 Date_of_death = Apr2012 Forecast = 2.3494 Date_of_death = Apr2012 Forecast = 2.3494 Date_of_death = Mar2012 Forecast = 3.0447 Date_of_death = Mar2012 Forecast = 3.0447 Date_of_death = Feb2012 Forecast = 2.8134 Date_of_death = Feb2012 Forecast = 2.8134 Date_of_death = Jan2012 Forecast = 2.6533 Date_of_death = Jan2012 Forecast = 2.6533 Date_of_death = Dec2011 Forecast = 2.4309 Date_of_death = Dec2011 Forecast = 2.4309 Date_of_death = Nov2011 Forecast = 1.9933 Date_of_death = Nov2011 Forecast = 1.9933 Date_of_death = Oct2011 Forecast = 3.4190 Date_of_death = Oct2011 Forecast = 3.4190 Date_of_death = Sep2011 Forecast = 3.0831 Date_of_death = Sep2011 Forecast = 3.0831 Date_of_death = Aug2011 Forecast = 3.2353 Date_of_death = Aug2011 Forecast = 3.2353 Date_of_death = Jul2011 Forecast = 3.1091 Date_of_death = Jul2011 Forecast = 3.1091 Date_of_death = Jun2011 Forecast = 3.1507 Date_of_death = Jun2011 Forecast = 3.1507 Date_of_death = May2011 Forecast = 2.4923 Date_of_death = May2011 Forecast = 2.4923 Date_of_death = Apr2011 Forecast = 2.4058 Date_of_death = Apr2011 Forecast = 2.4058 Date_of_death = Mar2011 Forecast = 2.8698 Date_of_death = Mar2011 Forecast = 2.8698 Date_of_death = Feb2011 Forecast = 3.0710 Date_of_death = Feb2011 Forecast = 3.0710 Date_of_death = Jan2011 Forecast = 3.0017 Date_of_death = Jan2011 Forecast = 3.0017 Date_of_death = Dec2010 Forecast = 2.5034 Date_of_death = Dec2010 Forecast = 2.5034 Date_of_death = Nov2010 Forecast = 2.1909 Date_of_death = Nov2010 Forecast = 2.1909 Date_of_death = Oct2010 Forecast = 3.3912 Date_of_death = Oct2010 Forecast = 3.3912 Date_of_death = Sep2010 Forecast = 3.5482 Date_of_death = Sep2010 Forecast = 3.5482 Date_of_death = Aug2010 Forecast = 3.2432 Date_of_death = Aug2010 Forecast = 3.2432 Date_of_death = Jul2010 Forecast = 3.5264 Date_of_death = Jul2010 Forecast = 3.5264 Date_of_death = Jun2010 Forecast = 3.0110 Date_of_death = Jun2010 Forecast = 3.0110 Date_of_death = May2010 Forecast = 2.8603 Date_of_death = May2010 Forecast = 2.8603 Date_of_death = Apr2010 Forecast = 2.2084 Date_of_death = Apr2010 Forecast = 2.2084 Date_of_death = Mar2010 Forecast = 2.7732 Date_of_death = Mar2010 Forecast = 2.7732 Date_of_death = Feb2010 Forecast = 2.9473 Date_of_death = Feb2010 Forecast = 2.9473 Date_of_death = Jan2010 Forecast = 2.8676 Date_of_death = Jan2010 Forecast = 2.8676 Date_of_death = Dec2009 Forecast = 2.7985 Date_of_death = Dec2009 Forecast = 2.7985 Date_of_death = Nov2009 Forecast = 2.4090 Date_of_death = Nov2009 Forecast = 2.4090 Date_of_death = Oct2009 Forecast = 3.1996 Date_of_death = Oct2009 Forecast = 3.1996 Date_of_death = Sep2009 Forecast = 3.4809 Date_of_death = Sep2009 Forecast = 3.4809 Date_of_death = Aug2009 Forecast = 3.4091 Date_of_death = Aug2009 Forecast = 3.4091 Date_of_death = Jul2009 Forecast = 3.9769 Date_of_death = Jul2009 Forecast = 3.9769 Date_of_death = Jun2009 Forecast = 2.7136 Date_of_death = Jun2009 Forecast = 2.7136 Date_of_death = May2009 Forecast = 2.7312 Date_of_death = May2009 Forecast = 2.7312 Date_of_death = Apr2009 Forecast = 1.9535 Date_of_death = Apr2009 Forecast = 1.9535 Date_of_death = Mar2009 Forecast = 3.0057 Date_of_death = Mar2009 Forecast = 3.0057 Date_of_death = Feb2009 Forecast = 3.1525 Date_of_death = Feb2009 Forecast = 3.1525 Date_of_death = Jan2009 Forecast = 3.1846 Date_of_death = Jan2009 Forecast = 3.1846 Date_of_death = Dec2008 Forecast = 3.0927 Date_of_death = Dec2008 Forecast = 3.0927 Date_of_death = Nov2008 Forecast = 2.1164 Date_of_death = Nov2008 Forecast = 2.1164 Date_of_death = Oct2008 Forecast = 3.1407 Date_of_death = Oct2008 Forecast = 3.1407 Date_of_death = Sep2008 Forecast = 3.3930 Date_of_death = Sep2008 Forecast = 3.3930 Date_of_death = Aug2008 Forecast = 3.2343 Date_of_death = Aug2008 Forecast = 3.2343 Date_of_death = Jul2008 Forecast = 4.0094 Date_of_death = Jul2008 Forecast = 4.0094 Date_of_death = Jun2008 Forecast = 3.0803 Date_of_death = Jun2008 Forecast = 3.0803 Date_of_death = May2008 Forecast = 3.1040 Date_of_death = May2008 Forecast = 3.1040 Date_of_death = Apr2008 Forecast = 2.1188 Date_of_death = Apr2008 Forecast = 2.1188 Date_of_death = Mar2008 Forecast = 2.8098 Date_of_death = Mar2008 Forecast = 2.8098 Date_of_death = Feb2008 Forecast = 2.9911 Date_of_death = Feb2008 Forecast = 2.9911 Date_of_death = Jan2008 Forecast = 2.9917 Date_of_death = Jan2008 Forecast = 2.9917 Date_of_death = Dec2007 Forecast = 3.5861 Date_of_death = Dec2007 Forecast = 3.5861 Date_of_death = Nov2007 Forecast = 2.3378 Date_of_death = Nov2007 Forecast = 2.3378 Date_of_death = Oct2007 Forecast = 3.6126 Date_of_death = Oct2007 Forecast = 3.6126 Date_of_death = Sep2007 Forecast = 3.3015 Date_of_death = Sep2007 Forecast = 3.3015 Date_of_death = Aug2007 Forecast = 3.1623 Date_of_death = Aug2007 Forecast = 3.1623 Date_of_death = Jul2007 Forecast = 4.0373 Date_of_death = Jul2007 Forecast = 4.0373 Date_of_death = Jun2007 Forecast = 2.8756 Date_of_death = Jun2007 Forecast = 2.8756 Date_of_death = May2007 Forecast = 2.9289 Date_of_death = May2007 Forecast = 2.9289 Date_of_death = Apr2007 Forecast = 1.7861 Date_of_death = Apr2007 Forecast = 1.7861 Date_of_death = Mar2007 Forecast = 2.6339 Date_of_death = Mar2007 Forecast = 2.6339 Date_of_death = Feb2007 Forecast = 2.8294 Date_of_death = Feb2007 Forecast = 2.8294 Date_of_death = Jan2007 Forecast = 2.7095 Date_of_death = Jan2007 Forecast = 2.7095 Date_of_death = Dec2006 Forecast = 3.4359 Date_of_death = Dec2006 Forecast = 3.4359 Date_of_death = Nov2006 Forecast = 2.5156 Date_of_death = Nov2006 Forecast = 2.5156 Date_of_death = Oct2006 Forecast = 3.4349 Date_of_death = Oct2006 Forecast = 3.4349 Date_of_death = Sep2006 Forecast = 3.0988 Date_of_death = Sep2006 Forecast = 3.0988 Date_of_death = Aug2006 Forecast = 2.9134 Date_of_death = Aug2006 Forecast = 2.9134 Date_of_death = Jul2006 Forecast = 4.0107 Date_of_death = Jul2006 Forecast = 4.0107 Date_of_death = Jun2006 Forecast = 2.5746 Date_of_death = Jun2006 Forecast = 2.5746 Date_of_death = May2006 Forecast = 2.6969 Date_of_death = May2006 Forecast = 2.6969 Date_of_death = Apr2006 Forecast = 1.9577 Date_of_death = Apr2006 Forecast = 1.9577 Date_of_death = Mar2006 Forecast = 2.2902 Date_of_death = Mar2006 Forecast = 2.2902 Date_of_death = Feb2006 Forecast = 2.5800 Date_of_death = Feb2006 Forecast = 2.5800 Date_of_death = Jan2006 Forecast = 2.3757 Date_of_death = Jan2006 Forecast = 2.3757 Date_of_death = Dec2005 Forecast = 3.9834 Date_of_death = Dec2005 Forecast = 3.9834 Date_of_death = Nov2005 Forecast = 2.8077 Date_of_death = Nov2005 Forecast = 2.8077 Date_of_death = Oct2005 Forecast = 3.2466 Date_of_death = Oct2005 Forecast = 3.2466 Date_of_death = Sep2005 Forecast = 2.8781 Date_of_death = Sep2005 Forecast = 2.8781 Date_of_death = Aug2005 Forecast = 3.3834 Date_of_death = Aug2005 Forecast = 3.3834 Date_of_death = Jul2005 Forecast = 3.9917 Date_of_death = Jul2005 Forecast = 3.9917 Date_of_death = Jun2005 Forecast = 2.9982 Date_of_death = Jun2005 Forecast = 2.9982 Date_of_death = May2005 Forecast = 3.0873 Date_of_death = May2005 Forecast = 3.0873 Date_of_death = Apr2005 Forecast = 2.2318 Date_of_death = Apr2005 Forecast = 2.2318 Date_of_death = Mar2005 Forecast = 2.6803 Date_of_death = Mar2005 Forecast = 2.6803 Date_of_death = Feb2005 Forecast = 2.3060 Date_of_death = Feb2005 Forecast = 2.3060 Date_of_death = Jan2005 Forecast = 1.9342 Date_of_death = Jan2005 Forecast = 1.9342 Date_of_death = Dec2004 Forecast = 4.0127 Date_of_death = Dec2004 Forecast = 4.0127 Date_of_death = Nov2004 Forecast = 2.5039 Date_of_death = Nov2004 Forecast = 2.5039 Date_of_death = Oct2004 Forecast = 3.9836 Date_of_death = Oct2004 Forecast = 3.9836 Date_of_death = Sep2004 Forecast = 2.5056 Date_of_death = Sep2004 Forecast = 2.5056 Date_of_death = Aug2004 Forecast = 3.2508 Date_of_death = Aug2004 Forecast = 3.2508 Date_of_death = Jul2004 Forecast = 3.9802 Date_of_death = Jul2004 Forecast = 3.9802 Date_of_death = Jun2004 Forecast = 2.6650 Date_of_death = Jun2004 Forecast = 2.6650 Date_of_death = May2004 Forecast = 2.7940 Date_of_death = May2004 Forecast = 2.7940 Date_of_death = Apr2004 Forecast = 2.5423 Date_of_death = Apr2004 Forecast = 2.5423 Date_of_death = Mar2004 Forecast = 3.1524 Date_of_death = Mar2004 Forecast = 3.1524 Date_of_death = Feb2004 Forecast = 1.8017 Date_of_death = Feb2004 Forecast = 1.8017 Date_of_death = Jan2004 Forecast = 2.2981 Date_of_death = Jan2004 Forecast = 2.2981 Date_of_death = Dec2003 Forecast = 4.0267 Date_of_death = Dec2003 Forecast = 4.0267 Date_of_death = Nov2003 Forecast = 3.0073 Date_of_death = Nov2003 Forecast = 3.0073 Date_of_death = Oct2003 Forecast = 3.9769 Date_of_death = Oct2003 Forecast = 3.9769 Date_of_death = Sep2003 Forecast = 1.9697 Date_of_death = Sep2003 Forecast = 1.9697 Date_of_death = Aug2003 Forecast = 2.9972 Date_of_death = Aug2003 Forecast = 2.9972 Date_of_death = Jul2003 Forecast = 4.0072 Date_of_death = Jul2003 Forecast = 4.0072 Date_of_death = Jun2003 Forecast = 3.3118 Date_of_death = Jun2003 Forecast = 3.3118 Date_of_death = May2003 Forecast = 2.3134 Date_of_death = May2003 Forecast = 2.3134 Date_of_death = Apr2003 Forecast = 1.9846 Date_of_death = Apr2003 Forecast = 1.9846 Date_of_death = Mar2003 Forecast = 3.9998 Date_of_death = Mar2003 Forecast = 3.9998 Date_of_death = Feb2003 Forecast = 2.0533 Date_of_death = Feb2003 Forecast = 2.0533 Date_of_death = Jan2003 Forecast = 2.9820 Date_of_death = Jan2003 Forecast = 2.9820 Date_of_death = Dec2002 Forecast = 4.0021 Date_of_death = Dec2002 Forecast = 4.0021 Date_of_death = Nov2002 Forecast = 2.4823 Date_of_death = Nov2002 Forecast = 2.4823 Date_of_death = Oct2002 Forecast = 4.0100 Date_of_death = Oct2002 Forecast = 4.0100 Date_of_death = Sep2002 Forecast = 2.5118 Date_of_death = Sep2002 Forecast = 2.5118 Date_of_death = Aug2002 Forecast = 2.4742 Date_of_death = Aug2002 Forecast = 2.4742 Date_of_death = Jul2002 Forecast = 4.0008 Date_of_death = Jul2002 Forecast = 4.0008 Date_of_death = Jun2002 Forecast = 2.9801 Date_of_death = Jun2002 Forecast = 2.9801 Date_of_death = May2002 Forecast = 2.5349 Date_of_death = May2002 Forecast = 2.5349 Date_of_death = Apr2002 Forecast = 2.4759 Date_of_death = Apr2002 Forecast = 2.4759 Date_of_death = Mar2002 Forecast = 3.9811 Date_of_death = Mar2002 Forecast = 3.9811 Date_of_death = Feb2002 Forecast = 0.9995 Date_of_death = Feb2002 Forecast = 0.9995 Date_of_death = Jan2002 Forecast = 3.9946 Date_of_death = Jan2002 Forecast = 3.9946 Date_of_death = Dec2001 Forecast = 4.0091 Date_of_death = Dec2001 Forecast = 4.0091 Date_of_death = Nov2001 Forecast = 3.9987 Date_of_death = Nov2001 Forecast = 3.9987 Date_of_death = Oct2001 Forecast = 3.9831 Date_of_death = Oct2001 Forecast = 3.9831 Date_of_death = Sep2001 Forecast = 1.0077 Date_of_death = Sep2001 Forecast = 1.0077 Date_of_death = Aug2001 Forecast = 3.9973 Date_of_death = Aug2001 Forecast = 3.9973 Date_of_death = Jul2001 Forecast = 4.0071 Date_of_death = Jul2001 Forecast = 4.0071 Date_of_death = Jun2001 Forecast = 3.9852 Date_of_death = Jun2001 Forecast = 3.9852 Date_of_death = May2001 Forecast = 1.0101 Date_of_death = May2001 Forecast = 1.0101 Date_of_death = Apr2001 Forecast = 4.0000 Date_of_death = Apr2001 Forecast = 4.0000 Date_of_death = Mar2001 Forecast = 4.0000 Date_of_death = Mar2001 Forecast = 4.0000 Date_of_death = Feb2001 Forecast = 1.0000 Date_of_death = Sep2019 incidents = 1.0000 Date_of_death = Aug2019 incidents = 4.0000 Date_of_death = Jul2019 incidents = 4.0000 Date_of_death = Jun2019 incidents = 1.0000 Date_of_death = May2019 incidents = 2.0000 Date_of_death = Apr2019 incidents = 4.0000 Date_of_death = Mar2019 incidents = 2.0000 Date_of_death = Feb2019 incidents = 4.0000 Date_of_death = Jan2019 incidents = 4.0000 Date_of_death = Dec2018 incidents = 4.0000 Date_of_death = Nov2018 incidents = 4.0000 Date_of_death = Oct2018 incidents = 1.0000 Date_of_death = Sep2018 incidents = 1.0000 Date_of_death = Aug2018 incidents = 1.0000 Date_of_death = Jul2018 incidents = 1.0000 Date_of_death = Jun2018 incidents = 4.0000 Date_of_death = May2018 incidents = 1.0000 Date_of_death = Apr2018 incidents = 4.0000 Date_of_death = Mar2018 incidents = 4.0000 Date_of_death = Feb2018 incidents = 1.0000 Date_of_death = Jan2018 incidents = 1.0000 Date_of_death = Dec2017 incidents = 1.0000 Date_of_death = Nov2017 incidents = 4.0000 Date_of_death = Oct2017 incidents = 3.0000 Date_of_death = Sep2017 incidents = 1.0000 Date_of_death = Aug2017 incidents = 2.0000 Date_of_death = Jul2017 incidents = 4.0000 Date_of_death = Jun2017 incidents = 2.0000 Date_of_death = May2017 incidents = 1.0000 Date_of_death = Apr2017 incidents = 4.0000 Date_of_death = Mar2017 incidents = 4.0000 Date_of_death = Feb2017 incidents = 1.0000 Date_of_death = Jan2017 incidents = 4.0000 Date_of_death = Dec2016 incidents = 1.0000 Date_of_death = Nov2016 incidents = 4.0000 Date_of_death = Oct2016 incidents = 1.0000 Date_of_death = Sep2016 incidents = 4.0000 Date_of_death = Aug2016 incidents = 4.0000 Date_of_death = Jul2016 incidents = 4.0000 Date_of_death = Jun2016 incidents = 4.0000 Date_of_death = May2016 incidents = 2.0000 Date_of_death = Apr2016 incidents = 2.0000 Date_of_death = Mar2016 incidents = 1.0000 Date_of_death = Feb2016 incidents = 4.0000 Date_of_death = Jan2016 incidents = 4.0000 Date_of_death = Dec2015 incidents = 1.0000 Date_of_death = Nov2015 incidents = 2.0000 Date_of_death = Oct2015 incidents = 1.0000 Date_of_death = Sep2015 incidents = 4.0000 Date_of_death = Aug2015 incidents = 1.0000 Date_of_death = Jul2015 incidents = 2.0000 Date_of_death = Jun2015 incidents = 1.0000 Date_of_death = May2015 incidents = 4.0000 Date_of_death = Apr2015 incidents = 1.0000 Date_of_death = Mar2015 incidents = 4.0000 Date_of_death = Feb2015 incidents = 1.0000 Date_of_death = Jan2015 incidents = 4.0000 Date_of_death = Dec2014 incidents = 1.0000 Date_of_death = Nov2014 incidents = 4.0000 Date_of_death = Oct2014 incidents = 1.0000 Date_of_death = Sep2014 incidents = 1.0000 Date_of_death = Aug2014 incidents = 4.0000 Date_of_death = Jul2014 incidents = 1.0000 Date_of_death = Jun2014 incidents = 1.0000 Date_of_death = May2014 incidents = 4.0000 Date_of_death = Apr2014 incidents = 4.0000 Date_of_death = Mar2014 incidents = 1.0000 Date_of_death = Feb2014 incidents = 4.0000 Date_of_death = Jan2014 incidents = 4.0000 Date_of_death = Dec2013 incidents = 2.0000 Date_of_death = Nov2013 incidents = 1.0000 Date_of_death = Oct2013 incidents = 2.0000 Date_of_death = Sep2013 incidents = 4.0000 Date_of_death = Aug2013 incidents = 4.0000 Date_of_death = Jul2013 incidents = 1.0000 Date_of_death = Jun2013 incidents = 3.0000 Date_of_death = May2013 incidents = 2.0000 Date_of_death = Apr2013 incidents = 4.0000 Date_of_death = Mar2013 incidents = 1.0000 Date_of_death = Feb2013 incidents = 4.0000 Date_of_death = Jan2013 incidents = 1.0000 Date_of_death = Dec2012 incidents = 4.0000 Date_of_death = Nov2012 incidents = 2.0000 Date_of_death = Oct2012 incidents = 1.0000 Date_of_death = Sep2012 incidents = 4.0000 Date_of_death = Aug2012 incidents = 2.0000 Date_of_death = Jul2012 incidents = 3.0000 Date_of_death = Jun2012 incidents = 4.0000 Date_of_death = May2012 incidents = 3.0000 Date_of_death = Apr2012 incidents = 4.0000 Date_of_death = Mar2012 incidents = 1.0000 Date_of_death = Feb2012 incidents = 1.0000 Date_of_death = Jan2012 incidents = 4.0000 Date_of_death = Dec2011 incidents = 3.0000 Date_of_death = Nov2011 incidents = 1.0000 Date_of_death = Oct2011 incidents = 2.0000 Date_of_death = Sep2011 incidents = 4.0000 Date_of_death = Aug2011 incidents = 3.0000 Date_of_death = Jul2011 incidents = 1.0000 Date_of_death = Jun2011 incidents = 2.0000 Date_of_death = May2011 incidents = 2.0000 Date_of_death = Apr2011 incidents = 2.0000 Date_of_death = Mar2011 incidents = 4.0000 Date_of_death = Feb2011 incidents = 2.0000 Date_of_death = Jan2011 incidents = 1.0000 Date_of_death = Dec2010 incidents = 2.0000 Date_of_death = Nov2010 incidents = 1.0000 Date_of_death = Oct2010 incidents = 4.0000 Date_of_death = Sep2010 incidents = 1.0000 Date_of_death = Aug2010 incidents = 3.0000 Date_of_death = Jul2010 incidents = 1.0000 Date_of_death = Jun2010 incidents = 4.0000 Date_of_death = May2010 incidents = 1.0000 Date_of_death = Apr2010 incidents = 4.0000 Date_of_death = Mar2010 incidents = 4.0000 Date_of_death = Feb2010 incidents = 4.0000 Date_of_death = Jan2010 incidents = 4.0000 Date_of_death = Dec2009 incidents = 1.0000 Date_of_death = Nov2009 incidents = 1.0000 Date_of_death = Oct2009 incidents = 4.0000 Date_of_death = Sep2009 incidents = 4.0000 Date_of_death = Aug2009 incidents = 2.0000 Date_of_death = Jul2009 incidents = 1.0000 Date_of_death = Jun2009 incidents = 4.0000 Date_of_death = May2009 incidents = 4.0000 Date_of_death = Apr2009 incidents = 4.0000 Date_of_death = Mar2009 incidents = 2.0000 Date_of_death = Feb2009 incidents = 2.0000 Date_of_death = Jan2009 incidents = 1.0000 Date_of_death = Dec2008 incidents = 1.0000 Date_of_death = Nov2008 incidents = 4.0000 Date_of_death = Oct2008 incidents = 4.0000 Date_of_death = Sep2008 incidents = 4.0000 Date_of_death = Aug2008 incidents = 4.0000 Date_of_death = Jul2008 incidents = 4.0000 Date_of_death = Jun2008 incidents = 1.0000 Date_of_death = May2008 incidents = 1.0000 Date_of_death = Apr2008 incidents = 1.0000 Date_of_death = Mar2008 incidents = 4.0000 Date_of_death = Feb2008 incidents = 4.0000 Date_of_death = Jan2008 incidents = 4.0000 Date_of_death = Dec2007 incidents = 1.0000 Date_of_death = Nov2007 incidents = 1.0000 Date_of_death = Oct2007 incidents = 1.0000 Date_of_death = Sep2007 incidents = 4.0000 Date_of_death = Aug2007 incidents = 4.0000 Date_of_death = Jul2007 incidents = 4.0000 Date_of_death = Jun2007 incidents = 4.0000 Date_of_death = May2007 incidents = 4.0000 Date_of_death = Apr2007 incidents = 4.0000 Date_of_death = Mar2007 incidents = 4.0000 Date_of_death = Feb2007 incidents = 4.0000 Date_of_death = Jan2007 incidents = 4.0000 Date_of_death = Dec2006 incidents = 4.0000 Date_of_death = Nov2006 incidents = 1.0000 Date_of_death = Oct2006 incidents = 4.0000 Date_of_death = Sep2006 incidents = 4.0000 Date_of_death = Aug2006 incidents = 4.0000 Date_of_death = Jul2006 incidents = 4.0000 Date_of_death = Jun2006 incidents = 4.0000 Date_of_death = May2006 incidents = 4.0000 Date_of_death = Apr2006 incidents = 1.0000 Date_of_death = Mar2006 incidents = 4.0000 Date_of_death = Feb2006 incidents = 4.0000 Date_of_death = Jan2006 incidents = 4.0000 Date_of_death = Dec2005 incidents = 1.0000 Date_of_death = Nov2005 incidents = 1.0000 Date_of_death = Oct2005 incidents = 4.0000 Date_of_death = Sep2005 incidents = 4.0000 Date_of_death = Aug2005 incidents = 1.0000 Date_of_death = Jul2005 incidents = 4.0000 Date_of_death = Jun2005 incidents = 1.0000 Date_of_death = May2005 incidents = 1.0000 Date_of_death = Apr2005 incidents = 1.0000 Date_of_death = Mar2005 incidents = 1.0000 Date_of_death = Feb2005 incidents = 4.0000 Date_of_death = Jan2005 incidents = 4.0000 Date_of_death = Dec2004 incidents = 4.0000 Date_of_death = Nov2004 incidents = 4.0000 Date_of_death = Oct2004 incidents = 1.0000 Date_of_death = Sep2004 incidents = 4.0000 Date_of_death = Aug2004 incidents = 4.0000 Date_of_death = Jul2004 incidents = 4.0000 Date_of_death = Jun2004 incidents = 4.0000 Date_of_death = May2004 incidents = 4.0000 Date_of_death = Apr2004 incidents = 1.0000 Date_of_death = Mar2004 incidents = 1.0000 Date_of_death = Feb2004 incidents = 4.0000 Date_of_death = Jan2004 incidents = 1.0000 Date_of_death = Dec2003 incidents = 4.0000 Date_of_death = Nov2003 incidents = 1.0000 Date_of_death = Oct2003 incidents = 4.0000 Date_of_death = Sep2003 incidents = 4.0000 Date_of_death = Aug2003 incidents = 4.0000 Date_of_death = Jul2003 incidents = 4.0000 Date_of_death = Jun2003 incidents = 1.0000 Date_of_death = May2003 incidents = 4.0000 Date_of_death = Apr2003 incidents = 4.0000 Date_of_death = Mar2003 incidents = 1.0000 Date_of_death = Feb2003 incidents = 1.0000 Date_of_death = Jan2003 incidents = 1.0000 Date_of_death = Dec2002 incidents = 4.0000 Date_of_death = Nov2002 incidents = 4.0000 Date_of_death = Oct2002 incidents = 4.0000 Date_of_death = Sep2002 incidents = 1.0000 Date_of_death = Aug2002 incidents = 4.0000 Date_of_death = Jul2002 incidents = 4.0000 Date_of_death = Jun2002 incidents = 4.0000 Date_of_death = May2002 incidents = 2.0000 Date_of_death = Apr2002 incidents = 1.0000 Date_of_death = Mar2002 incidents = 4.0000 Date_of_death = Feb2002 incidents = 4.0000 Date_of_death = Jan2002 incidents = 2.0000 Date_of_death = Dec2001 incidents = 4.0000 Date_of_death = Nov2001 incidents = 1.0000 Date_of_death = Oct2001 incidents = 4.0000 Date_of_death = Sep2001 incidents = 4.0000 Date_of_death = Aug2001 incidents = 1.0000 Date_of_death = Jul2001 incidents = 4.0000 Date_of_death = Jun2001 incidents = 2.0000 Date_of_death = May2001 incidents = 4.0000 Date_of_death = Apr2001 incidents = 1.0000 Date_of_death = Mar2001 incidents = 4.0000 Date_of_death = Feb2001 incidents = 1.0000 Date_of_death = Sep2020 Upper 95% = 5.4921 Lower 95% = -0.2222 Date_of_death = Aug2020 Upper 95% = 5.8378 Lower 95% = 0.1247 Date_of_death = Aug2020 Upper 95% = 5.8378 Lower 95% = 0.1247 Date_of_death = Jul2020 Upper 95% = 5.6237 Lower 95% = -0.0893 Date_of_death = Jul2020 Upper 95% = 5.6237 Lower 95% = -0.0893 Date_of_death = Jun2020 Upper 95% = 5.4339 Lower 95% = -0.2787 Date_of_death = Jun2020 Upper 95% = 5.4339 Lower 95% = -0.2787 Date_of_death = May2020 Upper 95% = 4.9949 Lower 95% = -0.7173 Date_of_death = May2020 Upper 95% = 4.9949 Lower 95% = -0.7173 Date_of_death = Apr2020 Upper 95% = 5.8911 Lower 95% = 0.1793 Date_of_death = Apr2020 Upper 95% = 5.8911 Lower 95% = 0.1793 Date_of_death = Mar2020 Upper 95% = 5.3293 Lower 95% = -0.3821 Date_of_death = Mar2020 Upper 95% = 5.3293 Lower 95% = -0.3821 Date_of_death = Feb2020 Upper 95% = 5.3354 Lower 95% = -0.3756 Date_of_death = Feb2020 Upper 95% = 5.3354 Lower 95% = -0.3756 Date_of_death = Jan2020 Upper 95% = 5.8609 Lower 95% = 0.1494 Date_of_death = Jan2020 Upper 95% = 5.8609 Lower 95% = 0.1494 Date_of_death = Dec2019 Upper 95% = 4.8041 Lower 95% = -0.9071 Date_of_death = Dec2019 Upper 95% = 4.8041 Lower 95% = -0.9071 Date_of_death = Nov2019 Upper 95% = 5.6616 Lower 95% = -0.0493 Date_of_death = Nov2019 Upper 95% = 5.6616 Lower 95% = -0.0493 Date_of_death = Oct2019 Upper 95% = 4.9623 Lower 95% = -0.7471
Forecast Plot

County=Orange

Series Span Summary

Estimation Span

County=Orange

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 4.00000 2.27848 1.27163

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 4.00000 2.27848 1.27163

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.28817
Level Error Variance 0.48306
Season Error Variance 1.68658

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -395
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 796.02
BIC (smaller is better) 806.27
AICC (smaller is better) 796.13
HQIC (smaller is better) 800.16
CAIC (smaller is better) 809.27
Likelihood Optimization Algorithm Converged in 11 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 1.62883 0.16133 10.10 <.0001
Level Error Variance 0.00000563 0.0003533 0.02 0.9873
Season Error Variance 0.00099787 0.0070562 0.14 0.8875

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 1.96912
Root Mean Squared Error 1.40325
Mean Absolute Percentage Error 69.70696
Maximum Percent Error 75.01169
R-Square -0.24229
Adjusted R-Square -0.25348
Random Walk R-Square 0.36977
Amemiya's Adjusted R-Square -0.27587

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 0.00 0.9707
Level 1 711.85 <.0001
Season 11 6.83 0.8126

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.281518542 0.0855126

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00099787

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 4.6417 Percent = 0.0302 Prediction Error = 4.5948 Percent = 0.0369 Prediction Error = 4.5948 Percent = 0.0369 Prediction Error = 4.5479 Percent = 0.0447 Prediction Error = 4.5479 Percent = 0.0447 Prediction Error = 4.501 Percent = 0.054 Prediction Error = 4.501 Percent = 0.054 Prediction Error = 4.4542 Percent = 0.065 Prediction Error = 4.4542 Percent = 0.065 Prediction Error = 4.4073 Percent = 0.0778 Prediction Error = 4.4073 Percent = 0.0778 Prediction Error = 4.3604 Percent = 0.0927 Prediction Error = 4.3604 Percent = 0.0927 Prediction Error = 4.3135 Percent = 0.1101 Prediction Error = 4.3135 Percent = 0.1101 Prediction Error = 4.2666 Percent = 0.1301 Prediction Error = 4.2666 Percent = 0.1301 Prediction Error = 4.2197 Percent = 0.1532 Prediction Error = 4.2197 Percent = 0.1532 Prediction Error = 4.1728 Percent = 0.1795 Prediction Error = 4.1728 Percent = 0.1795 Prediction Error = 4.1259 Percent = 0.2096 Prediction Error = 4.1259 Percent = 0.2096 Prediction Error = 4.079 Percent = 0.2437 Prediction Error = 4.079 Percent = 0.2437 Prediction Error = 4.0321 Percent = 0.2823 Prediction Error = 4.0321 Percent = 0.2823 Prediction Error = 3.9852 Percent = 0.3258 Prediction Error = 3.9852 Percent = 0.3258 Prediction Error = 3.9383 Percent = 0.3745 Prediction Error = 3.9383 Percent = 0.3745 Prediction Error = 3.8914 Percent = 0.429 Prediction Error = 3.8914 Percent = 0.429 Prediction Error = 3.8445 Percent = 0.4896 Prediction Error = 3.8445 Percent = 0.4896 Prediction Error = 3.7977 Percent = 0.5568 Prediction Error = 3.7977 Percent = 0.5568 Prediction Error = 3.7508 Percent = 0.6311 Prediction Error = 3.7508 Percent = 0.6311 Prediction Error = 3.7039 Percent = 0.7129 Prediction Error = 3.7039 Percent = 0.7129 Prediction Error = 3.657 Percent = 0.8027 Prediction Error = 3.657 Percent = 0.8027 Prediction Error = 3.6101 Percent = 0.901 Prediction Error = 3.6101 Percent = 0.901 Prediction Error = 3.5632 Percent = 1.0081 Prediction Error = 3.5632 Percent = 1.0081 Prediction Error = 3.5163 Percent = 1.1246 Prediction Error = 3.5163 Percent = 1.1246 Prediction Error = 3.4694 Percent = 1.2508 Prediction Error = 3.4694 Percent = 1.2508 Prediction Error = 3.4225 Percent = 1.3872 Prediction Error = 3.4225 Percent = 1.3872 Prediction Error = 3.3756 Percent = 1.5342 Prediction Error = 3.3756 Percent = 1.5342 Prediction Error = 3.3287 Percent = 1.692 Prediction Error = 3.3287 Percent = 1.692 Prediction Error = 3.2818 Percent = 1.861 Prediction Error = 3.2818 Percent = 1.861 Prediction Error = 3.2349 Percent = 2.0415 Prediction Error = 3.2349 Percent = 2.0415 Prediction Error = 3.188 Percent = 2.2336 Prediction Error = 3.188 Percent = 2.2336 Prediction Error = 3.1411 Percent = 2.4375 Prediction Error = 3.1411 Percent = 2.4375 Prediction Error = 3.0943 Percent = 2.6531 Prediction Error = 3.0943 Percent = 2.6531 Prediction Error = 3.0474 Percent = 2.8805 Prediction Error = 3.0474 Percent = 2.8805 Prediction Error = 3.0005 Percent = 3.1195 Prediction Error = 3.0005 Percent = 3.1195 Prediction Error = 2.9536 Percent = 3.3699 Prediction Error = 2.9536 Percent = 3.3699 Prediction Error = 2.9067 Percent = 3.6311 Prediction Error = 2.9067 Percent = 3.6311 Prediction Error = 2.8598 Percent = 3.9028 Prediction Error = 2.8598 Percent = 3.9028 Prediction Error = 2.8129 Percent = 4.1841 Prediction Error = 2.8129 Percent = 4.1841 Prediction Error = 2.766 Percent = 4.4744 Prediction Error = 2.766 Percent = 4.4744 Prediction Error = 2.6722 Percent = 5.0776 Prediction Error = 2.6722 Percent = 5.0776 Prediction Error = 2.4846 Percent = 6.3379 Prediction Error = 2.4846 Percent = 6.3379 Prediction Error = 2.344 Percent = 7.2794 Prediction Error = 2.344 Percent = 7.2794 Prediction Error = 2.2502 Percent = 7.878 Prediction Error = 2.2502 Percent = 7.878 Prediction Error = 2.2033 Percent = 8.1629 Prediction Error = 2.2033 Percent = 8.1629 Prediction Error = 2.1564 Percent = 8.4359 Prediction Error = 2.1564 Percent = 8.4359 Prediction Error = 2.1095 Percent = 8.6953 Prediction Error = 2.1095 Percent = 8.6953 Prediction Error = 2.0626 Percent = 8.9396 Prediction Error = 2.0626 Percent = 8.9396 Prediction Error = 2.0157 Percent = 9.1675 Prediction Error = 2.0157 Percent = 9.1675 Prediction Error = 1.9688 Percent = 9.3779 Prediction Error = 1.9688 Percent = 9.3779 Prediction Error = 1.9219 Percent = 9.5698 Prediction Error = 1.9219 Percent = 9.5698 Prediction Error = 1.875 Percent = 9.7426 Prediction Error = 1.875 Percent = 9.7426 Prediction Error = 1.8281 Percent = 9.8959 Prediction Error = 1.8281 Percent = 9.8959 Prediction Error = 1.7812 Percent = 10.029 Prediction Error = 1.7812 Percent = 10.029 Prediction Error = 1.7344 Percent = 10.144 Prediction Error = 1.7344 Percent = 10.144 Prediction Error = 1.6875 Percent = 10.238 Prediction Error = 1.6875 Percent = 10.238 Prediction Error = 1.6406 Percent = 10.315 Prediction Error = 1.6406 Percent = 10.315 Prediction Error = 1.5937 Percent = 10.374 Prediction Error = 1.5937 Percent = 10.374 Prediction Error = 1.5468 Percent = 10.416 Prediction Error = 1.5468 Percent = 10.416 Prediction Error = 1.4999 Percent = 10.444 Prediction Error = 1.4999 Percent = 10.444 Prediction Error = 1.453 Percent = 10.457 Prediction Error = 1.453 Percent = 10.457 Prediction Error = 1.4061 Percent = 10.46 Prediction Error = 1.4061 Percent = 10.46 Prediction Error = 1.3592 Percent = 10.452 Prediction Error = 1.3592 Percent = 10.452 Prediction Error = 1.3123 Percent = 10.437 Prediction Error = 1.3123 Percent = 10.437 Prediction Error = 1.2654 Percent = 10.416 Prediction Error = 1.2654 Percent = 10.416 Prediction Error = 1.2185 Percent = 10.391 Prediction Error = 1.2185 Percent = 10.391 Prediction Error = 1.1716 Percent = 10.365 Prediction Error = 1.1716 Percent = 10.365 Prediction Error = 1.1247 Percent = 10.341 Prediction Error = 1.1247 Percent = 10.341 Prediction Error = 1.0778 Percent = 10.319 Prediction Error = 1.0778 Percent = 10.319 Prediction Error = 1.031 Percent = 10.302 Prediction Error = 1.031 Percent = 10.302 Prediction Error = 0.9841 Percent = 10.293 Prediction Error = 0.9841 Percent = 10.293 Prediction Error = 0.9372 Percent = 10.292 Prediction Error = 0.9372 Percent = 10.292 Prediction Error = 0.8903 Percent = 10.302 Prediction Error = 0.8903 Percent = 10.302 Prediction Error = 0.8434 Percent = 10.324 Prediction Error = 0.8434 Percent = 10.324 Prediction Error = 0.7965 Percent = 10.36 Prediction Error = 0.7965 Percent = 10.36 Prediction Error = 0.7496 Percent = 10.41 Prediction Error = 0.7496 Percent = 10.41 Prediction Error = 0.7027 Percent = 10.476 Prediction Error = 0.7027 Percent = 10.476 Prediction Error = 0.6558 Percent = 10.557 Prediction Error = 0.6558 Percent = 10.557 Prediction Error = 0.6089 Percent = 10.654 Prediction Error = 0.6089 Percent = 10.654 Prediction Error = 0.562 Percent = 10.767 Prediction Error = 0.562 Percent = 10.767 Prediction Error = 0.5151 Percent = 10.897 Prediction Error = 0.5151 Percent = 10.897 Prediction Error = 0.4682 Percent = 11.041 Prediction Error = 0.4682 Percent = 11.041 Prediction Error = 0.4213 Percent = 11.2 Prediction Error = 0.4213 Percent = 11.2 Prediction Error = 0.3745 Percent = 11.372 Prediction Error = 0.3745 Percent = 11.372 Prediction Error = 0.3276 Percent = 11.557 Prediction Error = 0.3276 Percent = 11.557 Prediction Error = 0.2807 Percent = 11.752 Prediction Error = 0.2807 Percent = 11.752 Prediction Error = -0.048 Percent = 13.271 Prediction Error = -0.048 Percent = 13.271 Prediction Error = -0.141 Percent = 13.697 Prediction Error = -0.141 Percent = 13.697 Prediction Error = -0.188 Percent = 13.899 Prediction Error = -0.188 Percent = 13.899 Prediction Error = -0.235 Percent = 14.091 Prediction Error = -0.235 Percent = 14.091 Prediction Error = -0.282 Percent = 14.272 Prediction Error = -0.282 Percent = 14.272 Prediction Error = -0.329 Percent = 14.441 Prediction Error = -0.329 Percent = 14.441 Prediction Error = -0.376 Percent = 14.596 Prediction Error = -0.376 Percent = 14.596 Prediction Error = -0.423 Percent = 14.735 Prediction Error = -0.423 Percent = 14.735 Prediction Error = -0.47 Percent = 14.857 Prediction Error = -0.47 Percent = 14.857 Prediction Error = -0.517 Percent = 14.961 Prediction Error = -0.517 Percent = 14.961 Prediction Error = -0.563 Percent = 15.047 Prediction Error = -0.563 Percent = 15.047 Prediction Error = -0.61 Percent = 15.112 Prediction Error = -0.61 Percent = 15.112 Prediction Error = -0.657 Percent = 15.157 Prediction Error = -0.657 Percent = 15.157 Prediction Error = -0.704 Percent = 15.179 Prediction Error = -0.704 Percent = 15.179 Prediction Error = -0.751 Percent = 15.179 Prediction Error = -0.751 Percent = 15.179 Prediction Error = -0.798 Percent = 15.155 Prediction Error = -0.798 Percent = 15.155 Prediction Error = -0.845 Percent = 15.107 Prediction Error = -0.845 Percent = 15.107 Prediction Error = -0.892 Percent = 15.034 Prediction Error = -0.892 Percent = 15.034 Prediction Error = -0.939 Percent = 14.936 Prediction Error = -0.939 Percent = 14.936 Prediction Error = -0.985 Percent = 14.812 Prediction Error = -0.985 Percent = 14.812 Prediction Error = -1.032 Percent = 14.663 Prediction Error = -1.032 Percent = 14.663 Prediction Error = -1.079 Percent = 14.488 Prediction Error = -1.079 Percent = 14.488 Prediction Error = -1.126 Percent = 14.287 Prediction Error = -1.126 Percent = 14.287 Prediction Error = -1.173 Percent = 14.061 Prediction Error = -1.173 Percent = 14.061 Prediction Error = -1.22 Percent = 13.81 Prediction Error = -1.22 Percent = 13.81 Prediction Error = -1.267 Percent = 13.535 Prediction Error = -1.267 Percent = 13.535 Prediction Error = -1.314 Percent = 13.237 Prediction Error = -1.314 Percent = 13.237 Prediction Error = -1.361 Percent = 12.917 Prediction Error = -1.361 Percent = 12.917 Prediction Error = -1.407 Percent = 12.576 Prediction Error = -1.407 Percent = 12.576 Prediction Error = -1.454 Percent = 12.217 Prediction Error = -1.454 Percent = 12.217 Prediction Error = -1.501 Percent = 11.84 Prediction Error = -1.501 Percent = 11.84 Prediction Error = -1.548 Percent = 11.449 Prediction Error = -1.548 Percent = 11.449 Prediction Error = -1.923 Percent = 8.0415 Prediction Error = -1.923 Percent = 8.0415 Prediction Error = -2.017 Percent = 7.1977 Prediction Error = -2.017 Percent = 7.1977 Prediction Error = -2.111 Percent = 6.3902 Prediction Error = -2.111 Percent = 6.3902 Prediction Error = -2.158 Percent = 6.0041 Prediction Error = -2.158 Percent = 6.0041 Prediction Error = -2.205 Percent = 5.6314 Prediction Error = -2.205 Percent = 5.6314 Prediction Error = -2.252 Percent = 5.2732 Prediction Error = -2.252 Percent = 5.2732 Prediction Error = -2.298 Percent = 4.9302 Prediction Error = -2.298 Percent = 4.9302 Prediction Error = -2.345 Percent = 4.6032 Prediction Error = -2.345 Percent = 4.6032 Prediction Error = -2.392 Percent = 4.2925 Prediction Error = -2.392 Percent = 4.2925 Prediction Error = -2.439 Percent = 3.9982 Prediction Error = -2.439 Percent = 3.9982 Prediction Error = -2.486 Percent = 3.7205 Prediction Error = -2.486 Percent = 3.7205 Prediction Error = -2.533 Percent = 3.4592 Prediction Error = -2.533 Percent = 3.4592 Prediction Error = -2.58 Percent = 3.2139 Prediction Error = -2.58 Percent = 3.2139 Prediction Error = -2.627 Percent = 2.9843 Prediction Error = -2.627 Percent = 2.9843 Prediction Error = -2.674 Percent = 2.7697 Prediction Error = -2.674 Percent = 2.7697 Prediction Error = -2.72 Percent = 2.5697 Prediction Error = -2.72 Percent = 2.5697 Prediction Error = -2.767 Percent = 2.3834 Prediction Error = -2.767 Percent = 2.3834 Prediction Error = -2.814 Percent = 2.2101 Prediction Error = -2.814 Percent = 2.2101 Prediction Error = -2.861 Percent = 2.049 Prediction Error = -2.861 Percent = 2.049 Prediction Error = -2.908 Percent = 1.8993 Prediction Error = -2.908 Percent = 1.8993 Prediction Error = -2.955 Percent = 1.7601 Prediction Error = -2.955 Percent = 1.7601 Prediction Error = -3.002 Percent = 1.6307 Prediction Error = -3.002 Percent = 1.6307 Prediction Error = -3.049 Percent = 1.5104 Prediction Error = -3.049 Percent = 1.5104 Prediction Error = -3.096 Percent = 1.3983 Prediction Error = -3.096 Percent = 1.3983 Prediction Error = -3.143 Percent = 1.2938 Prediction Error = -3.143 Percent = 1.2938 Prediction Error = -3.189 Percent = 1.1962 Prediction Error = -3.189 Percent = 1.1962 Prediction Error = -3.236 Percent = 1.105 Prediction Error = -3.236 Percent = 1.105 Prediction Error = -3.283 Percent = 1.0197 Prediction Error = -3.283 Percent = 1.0197 Prediction Error = -3.33 Percent = 0.9397 Prediction Error = -3.33 Percent = 0.9397 Prediction Error = -3.377 Percent = 0.8647 Prediction Error = -3.377 Percent = 0.8647 Prediction Error = -3.424 Percent = 0.7943 Prediction Error = -3.424 Percent = 0.7943 Prediction Error = -3.471 Percent = 0.7282 Prediction Error = -3.471 Percent = 0.7282 Prediction Error = -3.518 Percent = 0.6662 Prediction Error = -3.518 Percent = 0.6662 Prediction Error = -3.565 Percent = 0.608 Prediction Error = -3.565 Percent = 0.608 Prediction Error = -3.611 Percent = 0.5534 Prediction Error = -3.611 Percent = 0.5534 Prediction Error = -3.658 Percent = 0.5023 Prediction Error = -3.658 Percent = 0.5023 Prediction Error = -3.705 Percent = 0.4546 Prediction Error = -3.705 Percent = 0.4546 Prediction Error = -3.752 Percent = 0.4101 Prediction Error = -3.752 Percent = 0.4101 Prediction Error = -3.799 Percent = 0.3687 Prediction Error = -3.799 Percent = 0.3687 Prediction Error = -3.846 Percent = 0.3303 Prediction Error = -3.846 Percent = 0.3303 Prediction Error = -3.893 Percent = 0.2949 Prediction Error = -3.893 Percent = 0.2949 Prediction Error = -3.94 Percent = 0.2622 Prediction Error = -3.94 Percent = 0.2622 Prediction Error = -3.987 Percent = 0.2322 Prediction Error = -3.987 Percent = 0.2322 Prediction Error = -4.034 Percent = 0.2048 Prediction Error = -4.034 Percent = 0.2048 Prediction Error = -4.08 Percent = 0.1799 Prediction Error = -4.08 Percent = 0.1799 Prediction Error = -4.127 Percent = 0.1574 Prediction Error = -4.127 Percent = 0.1574 Prediction Error = -4.174 Percent = 0.137 Prediction Error = -4.174 Percent = 0.137 Prediction Error = -4.221 Percent = 0.1188 Prediction Error = -4.221 Percent = 0.1188 Prediction Error = -4.268 Percent = 0.1025 Prediction Error = -4.268 Percent = 0.1025 Prediction Error = -4.315 Percent = 0.0881 Prediction Error = -4.315 Percent = 0.0881 Prediction Error = -4.362 Percent = 0.0753 Prediction Error = -4.362 Percent = 0.0753 Prediction Error = -4.409 Percent = 0.0641 Prediction Error = -4.409 Percent = 0.0641 Prediction Error = -4.456 Percent = 0.0543 Prediction Error = -4.456 Percent = 0.0543 Prediction Error = -4.502 Percent = 0.0457 Prediction Error = -4.502 Percent = 0.0457 Prediction Error = -4.549 Percent = 0.0384 Prediction Error = -4.549 Percent = 0.0384 Prediction Error = -4.596 Percent = 0.032 Prediction Error = -4.596 Percent = 0.032 Prediction Error = -4.643 Percent = 0.0266 Prediction Error = 4.2825 Percent = 0.1893 Prediction Error = 4.2399 Percent = 0.2072 Prediction Error = 4.2399 Percent = 0.2072 Prediction Error = 4.1974 Percent = 0.2266 Prediction Error = 4.1974 Percent = 0.2266 Prediction Error = 4.1548 Percent = 0.2476 Prediction Error = 4.1548 Percent = 0.2476 Prediction Error = 4.1122 Percent = 0.2703 Prediction Error = 4.1122 Percent = 0.2703 Prediction Error = 4.0697 Percent = 0.2948 Prediction Error = 4.0697 Percent = 0.2948 Prediction Error = 4.0271 Percent = 0.3213 Prediction Error = 4.0271 Percent = 0.3213 Prediction Error = 3.9845 Percent = 0.3497 Prediction Error = 3.9845 Percent = 0.3497 Prediction Error = 3.942 Percent = 0.3804 Prediction Error = 3.942 Percent = 0.3804 Prediction Error = 3.8994 Percent = 0.4134 Prediction Error = 3.8994 Percent = 0.4134 Prediction Error = 3.8568 Percent = 0.4488 Prediction Error = 3.8568 Percent = 0.4488 Prediction Error = 3.8143 Percent = 0.4868 Prediction Error = 3.8143 Percent = 0.4868 Prediction Error = 3.7717 Percent = 0.5275 Prediction Error = 3.7717 Percent = 0.5275 Prediction Error = 3.7291 Percent = 0.5711 Prediction Error = 3.7291 Percent = 0.5711 Prediction Error = 3.6866 Percent = 0.6177 Prediction Error = 3.6866 Percent = 0.6177 Prediction Error = 3.644 Percent = 0.6676 Prediction Error = 3.644 Percent = 0.6676 Prediction Error = 3.6014 Percent = 0.7208 Prediction Error = 3.6014 Percent = 0.7208 Prediction Error = 3.5589 Percent = 0.7775 Prediction Error = 3.5589 Percent = 0.7775 Prediction Error = 3.5163 Percent = 0.8379 Prediction Error = 3.5163 Percent = 0.8379 Prediction Error = 3.4737 Percent = 0.9022 Prediction Error = 3.4737 Percent = 0.9022 Prediction Error = 3.4312 Percent = 0.9705 Prediction Error = 3.4312 Percent = 0.9705 Prediction Error = 3.3886 Percent = 1.0431 Prediction Error = 3.3886 Percent = 1.0431 Prediction Error = 3.346 Percent = 1.12 Prediction Error = 3.346 Percent = 1.12 Prediction Error = 3.3035 Percent = 1.2015 Prediction Error = 3.3035 Percent = 1.2015 Prediction Error = 3.2609 Percent = 1.2878 Prediction Error = 3.2609 Percent = 1.2878 Prediction Error = 3.2183 Percent = 1.379 Prediction Error = 3.2183 Percent = 1.379 Prediction Error = 3.1758 Percent = 1.4753 Prediction Error = 3.1758 Percent = 1.4753 Prediction Error = 3.1332 Percent = 1.5768 Prediction Error = 3.1332 Percent = 1.5768 Prediction Error = 3.0906 Percent = 1.6838 Prediction Error = 3.0906 Percent = 1.6838 Prediction Error = 3.0481 Percent = 1.7964 Prediction Error = 3.0481 Percent = 1.7964 Prediction Error = 3.0055 Percent = 1.9148 Prediction Error = 3.0055 Percent = 1.9148 Prediction Error = 2.9629 Percent = 2.0391 Prediction Error = 2.9629 Percent = 2.0391 Prediction Error = 2.9204 Percent = 2.1695 Prediction Error = 2.9204 Percent = 2.1695 Prediction Error = 2.8778 Percent = 2.3061 Prediction Error = 2.8778 Percent = 2.3061 Prediction Error = 2.8352 Percent = 2.4491 Prediction Error = 2.8352 Percent = 2.4491 Prediction Error = 2.7927 Percent = 2.5985 Prediction Error = 2.7927 Percent = 2.5985 Prediction Error = 2.7501 Percent = 2.7546 Prediction Error = 2.7501 Percent = 2.7546 Prediction Error = 2.7075 Percent = 2.9173 Prediction Error = 2.7075 Percent = 2.9173 Prediction Error = 2.665 Percent = 3.0868 Prediction Error = 2.665 Percent = 3.0868 Prediction Error = 2.6224 Percent = 3.2631 Prediction Error = 2.6224 Percent = 3.2631 Prediction Error = 2.5798 Percent = 3.4464 Prediction Error = 2.5798 Percent = 3.4464 Prediction Error = 2.5373 Percent = 3.6366 Prediction Error = 2.5373 Percent = 3.6366 Prediction Error = 2.4947 Percent = 3.8337 Prediction Error = 2.4947 Percent = 3.8337 Prediction Error = 2.4521 Percent = 4.0379 Prediction Error = 2.4521 Percent = 4.0379 Prediction Error = 2.4096 Percent = 4.249 Prediction Error = 2.4096 Percent = 4.249 Prediction Error = 2.367 Percent = 4.4671 Prediction Error = 2.367 Percent = 4.4671 Prediction Error = 2.2819 Percent = 4.9237 Prediction Error = 2.2819 Percent = 4.9237 Prediction Error = 2.1967 Percent = 5.4072 Prediction Error = 2.1967 Percent = 5.4072 Prediction Error = 2.1116 Percent = 5.9164 Prediction Error = 2.1116 Percent = 5.9164 Prediction Error = 2.0265 Percent = 6.4498 Prediction Error = 2.0265 Percent = 6.4498 Prediction Error = 1.9413 Percent = 7.0054 Prediction Error = 1.9413 Percent = 7.0054 Prediction Error = 1.3028 Percent = 11.582 Prediction Error = 1.3028 Percent = 11.582 Prediction Error = 1.1751 Percent = 12.493 Prediction Error = 1.1751 Percent = 12.493 Prediction Error = 1.09 Percent = 13.08 Prediction Error = 1.09 Percent = 13.08 Prediction Error = 1.0049 Percent = 13.645 Prediction Error = 1.0049 Percent = 13.645 Prediction Error = 0.9197 Percent = 14.181 Prediction Error = 0.9197 Percent = 14.181 Prediction Error = 0.8771 Percent = 14.437 Prediction Error = 0.8771 Percent = 14.437 Prediction Error = 0.8346 Percent = 14.685 Prediction Error = 0.8346 Percent = 14.685 Prediction Error = 0.792 Percent = 14.923 Prediction Error = 0.792 Percent = 14.923 Prediction Error = 0.7494 Percent = 15.151 Prediction Error = 0.7494 Percent = 15.151 Prediction Error = 0.7069 Percent = 15.368 Prediction Error = 0.7069 Percent = 15.368 Prediction Error = 0.6643 Percent = 15.574 Prediction Error = 0.6643 Percent = 15.574 Prediction Error = 0.6217 Percent = 15.768 Prediction Error = 0.6217 Percent = 15.768 Prediction Error = 0.5792 Percent = 15.95 Prediction Error = 0.5792 Percent = 15.95 Prediction Error = 0.5366 Percent = 16.119 Prediction Error = 0.5366 Percent = 16.119 Prediction Error = 0.494 Percent = 16.276 Prediction Error = 0.494 Percent = 16.276 Prediction Error = 0.4515 Percent = 16.418 Prediction Error = 0.4515 Percent = 16.418 Prediction Error = 0.4089 Percent = 16.547 Prediction Error = 0.4089 Percent = 16.547 Prediction Error = 0.3663 Percent = 16.661 Prediction Error = 0.3663 Percent = 16.661 Prediction Error = 0.3238 Percent = 16.761 Prediction Error = 0.3238 Percent = 16.761 Prediction Error = 0.2812 Percent = 16.846 Prediction Error = 0.2812 Percent = 16.846 Prediction Error = 0.2386 Percent = 16.915 Prediction Error = 0.2386 Percent = 16.915 Prediction Error = 0.1961 Percent = 16.97 Prediction Error = 0.1961 Percent = 16.97 Prediction Error = 0.1535 Percent = 17.009 Prediction Error = 0.1535 Percent = 17.009 Prediction Error = 0.1109 Percent = 17.032 Prediction Error = 0.1109 Percent = 17.032 Prediction Error = 0.0684 Percent = 17.04 Prediction Error = 0.0684 Percent = 17.04 Prediction Error = 0.0258 Percent = 17.032 Prediction Error = 0.0258 Percent = 17.032 Prediction Error = -0.017 Percent = 17.009 Prediction Error = -0.017 Percent = 17.009 Prediction Error = -0.059 Percent = 16.97 Prediction Error = -0.059 Percent = 16.97 Prediction Error = -0.102 Percent = 16.915 Prediction Error = -0.102 Percent = 16.915 Prediction Error = -0.144 Percent = 16.846 Prediction Error = -0.144 Percent = 16.846 Prediction Error = -0.187 Percent = 16.761 Prediction Error = -0.187 Percent = 16.761 Prediction Error = -0.23 Percent = 16.661 Prediction Error = -0.23 Percent = 16.661 Prediction Error = -0.272 Percent = 16.547 Prediction Error = -0.272 Percent = 16.547 Prediction Error = -0.315 Percent = 16.418 Prediction Error = -0.315 Percent = 16.418 Prediction Error = -0.357 Percent = 16.276 Prediction Error = -0.357 Percent = 16.276 Prediction Error = -0.4 Percent = 16.119 Prediction Error = -0.4 Percent = 16.119 Prediction Error = -0.442 Percent = 15.95 Prediction Error = -0.442 Percent = 15.95 Prediction Error = -0.485 Percent = 15.768 Prediction Error = -0.485 Percent = 15.768 Prediction Error = -0.528 Percent = 15.574 Prediction Error = -0.528 Percent = 15.574 Prediction Error = -0.57 Percent = 15.368 Prediction Error = -0.57 Percent = 15.368 Prediction Error = -0.613 Percent = 15.151 Prediction Error = -0.613 Percent = 15.151 Prediction Error = -0.655 Percent = 14.923 Prediction Error = -0.655 Percent = 14.923 Prediction Error = -0.698 Percent = 14.685 Prediction Error = -0.698 Percent = 14.685 Prediction Error = -0.74 Percent = 14.437 Prediction Error = -0.74 Percent = 14.437 Prediction Error = -0.783 Percent = 14.181 Prediction Error = -0.783 Percent = 14.181 Prediction Error = -0.868 Percent = 13.645 Prediction Error = -0.868 Percent = 13.645 Prediction Error = -0.953 Percent = 13.08 Prediction Error = -0.953 Percent = 13.08 Prediction Error = -1.464 Percent = 9.3983 Prediction Error = -1.464 Percent = 9.3983 Prediction Error = -1.634 Percent = 8.174 Prediction Error = -1.634 Percent = 8.174 Prediction Error = -1.762 Percent = 7.2909 Prediction Error = -1.762 Percent = 7.2909 Prediction Error = -1.847 Percent = 6.7249 Prediction Error = -1.847 Percent = 6.7249 Prediction Error = -1.932 Percent = 6.1801 Prediction Error = -1.932 Percent = 6.1801 Prediction Error = -2.017 Percent = 5.6587 Prediction Error = -2.017 Percent = 5.6587 Prediction Error = -2.103 Percent = 5.1622 Prediction Error = -2.103 Percent = 5.1622 Prediction Error = -2.188 Percent = 4.692 Prediction Error = -2.188 Percent = 4.692 Prediction Error = -2.23 Percent = 4.4671 Prediction Error = -2.23 Percent = 4.4671 Prediction Error = -2.273 Percent = 4.249 Prediction Error = -2.273 Percent = 4.249 Prediction Error = -2.315 Percent = 4.0379 Prediction Error = -2.315 Percent = 4.0379 Prediction Error = -2.358 Percent = 3.8337 Prediction Error = -2.358 Percent = 3.8337 Prediction Error = -2.401 Percent = 3.6366 Prediction Error = -2.401 Percent = 3.6366 Prediction Error = -2.443 Percent = 3.4464 Prediction Error = -2.443 Percent = 3.4464 Prediction Error = -2.486 Percent = 3.2631 Prediction Error = -2.486 Percent = 3.2631 Prediction Error = -2.528 Percent = 3.0868 Prediction Error = -2.528 Percent = 3.0868 Prediction Error = -2.571 Percent = 2.9173 Prediction Error = -2.571 Percent = 2.9173 Prediction Error = -2.613 Percent = 2.7546 Prediction Error = -2.613 Percent = 2.7546 Prediction Error = -2.656 Percent = 2.5985 Prediction Error = -2.656 Percent = 2.5985 Prediction Error = -2.698 Percent = 2.4491 Prediction Error = -2.698 Percent = 2.4491 Prediction Error = -2.741 Percent = 2.3061 Prediction Error = -2.741 Percent = 2.3061 Prediction Error = -2.784 Percent = 2.1695 Prediction Error = -2.784 Percent = 2.1695 Prediction Error = -2.826 Percent = 2.0391 Prediction Error = -2.826 Percent = 2.0391 Prediction Error = -2.869 Percent = 1.9148 Prediction Error = -2.869 Percent = 1.9148 Prediction Error = -2.911 Percent = 1.7964 Prediction Error = -2.911 Percent = 1.7964 Prediction Error = -2.954 Percent = 1.6838 Prediction Error = -2.954 Percent = 1.6838 Prediction Error = -2.996 Percent = 1.5768 Prediction Error = -2.996 Percent = 1.5768 Prediction Error = -3.039 Percent = 1.4753 Prediction Error = -3.039 Percent = 1.4753 Prediction Error = -3.082 Percent = 1.379 Prediction Error = -3.082 Percent = 1.379 Prediction Error = -3.124 Percent = 1.2878 Prediction Error = -3.124 Percent = 1.2878 Prediction Error = -3.167 Percent = 1.2015 Prediction Error = -3.167 Percent = 1.2015 Prediction Error = -3.209 Percent = 1.12 Prediction Error = -3.209 Percent = 1.12 Prediction Error = -3.252 Percent = 1.0431 Prediction Error = -3.252 Percent = 1.0431 Prediction Error = -3.294 Percent = 0.9705 Prediction Error = -3.294 Percent = 0.9705 Prediction Error = -3.337 Percent = 0.9022 Prediction Error = -3.337 Percent = 0.9022 Prediction Error = -3.38 Percent = 0.8379 Prediction Error = -3.38 Percent = 0.8379 Prediction Error = -3.422 Percent = 0.7775 Prediction Error = -3.422 Percent = 0.7775 Prediction Error = -3.465 Percent = 0.7208 Prediction Error = -3.465 Percent = 0.7208 Prediction Error = -3.507 Percent = 0.6676 Prediction Error = -3.507 Percent = 0.6676 Prediction Error = -3.55 Percent = 0.6177 Prediction Error = -3.55 Percent = 0.6177 Prediction Error = -3.592 Percent = 0.5711 Prediction Error = -3.592 Percent = 0.5711 Prediction Error = -3.635 Percent = 0.5275 Prediction Error = -3.635 Percent = 0.5275 Prediction Error = -3.678 Percent = 0.4868 Prediction Error = -3.678 Percent = 0.4868 Prediction Error = -3.72 Percent = 0.4488 Prediction Error = -3.72 Percent = 0.4488 Prediction Error = -3.763 Percent = 0.4134 Prediction Error = -3.763 Percent = 0.4134 Prediction Error = -3.805 Percent = 0.3804 Prediction Error = -3.805 Percent = 0.3804 Prediction Error = -3.848 Percent = 0.3497 Prediction Error = -3.848 Percent = 0.3497 Prediction Error = -3.89 Percent = 0.3213 Prediction Error = -3.89 Percent = 0.3213 Prediction Error = -3.933 Percent = 0.2948 Prediction Error = -3.933 Percent = 0.2948 Prediction Error = -3.975 Percent = 0.2703 Prediction Error = -3.975 Percent = 0.2703 Prediction Error = -4.018 Percent = 0.2476 Prediction Error = -4.018 Percent = 0.2476 Prediction Error = -4.061 Percent = 0.2266 Prediction Error = -4.061 Percent = 0.2266 Prediction Error = -4.103 Percent = 0.2072 Prediction Error = -4.103 Percent = 0.2072 Prediction Error = -4.146 Percent = 0.1893 Prediction Error = 3 Percent = 2.6667 Prediction Error = 3 Percent = 2.6667 Prediction Error = 2.4 Percent = 4.4444 Prediction Error = 2.4 Percent = 4.4444 Prediction Error = 1.8 Percent = 14.667 Prediction Error = 1.8 Percent = 14.667 Prediction Error = 1.2 Percent = 11.111 Prediction Error = 1.2 Percent = 11.111 Prediction Error = 0.6 Percent = 6.2222 Prediction Error = 0.6 Percent = 6.2222 Prediction Error = 0 Percent = 15.111 Prediction Error = 0 Percent = 15.111 Prediction Error = -0.6 Percent = 14.667 Prediction Error = -0.6 Percent = 14.667 Prediction Error = -1.2 Percent = 21.333 Prediction Error = -1.2 Percent = 21.333 Prediction Error = -1.8 Percent = 6.6667 Prediction Error = -1.8 Percent = 6.6667 Prediction Error = -2.4 Percent = 1.3333 Prediction Error = -2.4 Percent = 1.3333 Prediction Error = -3 Percent = 1.7778 Prediction Error = -3 Percent = 1.7778 Quantile = 2.7733 Residual = 3.0005 Quantile = 2.4464 Residual = 3.0002 Quantile = 2.2684 Residual = 3 Quantile = 2.1421 Residual = 2.8032 Quantile = 2.0429 Residual = 2.7498 Quantile = 1.9604 Residual = 2.7459 Quantile = 1.8895 Residual = 2.5565 Quantile = 1.827 Residual = 2.4995 Quantile = 1.7709 Residual = 2.3418 Quantile = 1.7198 Residual = 2.3314 Quantile = 1.6729 Residual = 2.3014 Quantile = 1.6294 Residual = 2.2856 Quantile = 1.5888 Residual = 2.1507 Quantile = 1.5507 Residual = 2.1268 Quantile = 1.5147 Residual = 2.1033 Quantile = 1.4805 Residual = 2.101 Quantile = 1.448 Residual = 2.0845 Quantile = 1.417 Residual = 2.0095 Quantile = 1.3872 Residual = 2.0061 Quantile = 1.3587 Residual = 2.0014 Quantile = 1.3312 Residual = 2.0014 Quantile = 1.3047 Residual = 2.0008 Quantile = 1.279 Residual = 1.9996 Quantile = 1.2542 Residual = 1.9972 Quantile = 1.2301 Residual = 1.9936 Quantile = 1.2068 Residual = 1.9935 Quantile = 1.184 Residual = 1.9802 Quantile = 1.1619 Residual = 1.9719 Quantile = 1.1403 Residual = 1.9714 Quantile = 1.1192 Residual = 1.9698 Quantile = 1.0987 Residual = 1.9268 Quantile = 1.0785 Residual = 1.8779 Quantile = 1.0588 Residual = 1.8752 Quantile = 1.0395 Residual = 1.8568 Quantile = 1.0206 Residual = 1.825 Quantile = 1.0021 Residual = 1.7948 Quantile = 0.9838 Residual = 1.7872 Quantile = 0.9659 Residual = 1.7542 Quantile = 0.9483 Residual = 1.7455 Quantile = 0.931 Residual = 1.7434 Quantile = 0.914 Residual = 1.743 Quantile = 0.8972 Residual = 1.7379 Quantile = 0.8807 Residual = 1.6871 Quantile = 0.8644 Residual = 1.6487 Quantile = 0.8484 Residual = 1.6456 Quantile = 0.8325 Residual = 1.6311 Quantile = 0.8169 Residual = 1.5824 Quantile = 0.8015 Residual = 1.5322 Quantile = 0.7862 Residual = 1.53 Quantile = 0.7711 Residual = 1.4992 Quantile = 0.7562 Residual = 1.4975 Quantile = 0.7415 Residual = 1.4899 Quantile = 0.7269 Residual = 1.4118 Quantile = 0.7125 Residual = 1.4008 Quantile = 0.6983 Residual = 1.4007 Quantile = 0.6841 Residual = 1.3628 Quantile = 0.6701 Residual = 1.3314 Quantile = 0.6563 Residual = 1.25 Quantile = 0.6425 Residual = 1.2031 Quantile = 0.6289 Residual = 1.1956 Quantile = 0.6154 Residual = 1.1662 Quantile = 0.602 Residual = 1.1413 Quantile = 0.5887 Residual = 1.1269 Quantile = 0.5755 Residual = 1.1067 Quantile = 0.5625 Residual = 1.1047 Quantile = 0.5495 Residual = 1.0453 Quantile = 0.5366 Residual = 1.0069 Quantile = 0.5238 Residual = 1.0023 Quantile = 0.511 Residual = 1.0019 Quantile = 0.4984 Residual = 1.0013 Quantile = 0.4858 Residual = 1.0002 Quantile = 0.4734 Residual = 1 Quantile = 0.4609 Residual = 0.999 Quantile = 0.4486 Residual = 0.9986 Quantile = 0.4363 Residual = 0.8566 Quantile = 0.4241 Residual = 0.8551 Quantile = 0.412 Residual = 0.8109 Quantile = 0.3999 Residual = 0.8023 Quantile = 0.3879 Residual = 0.8019 Quantile = 0.3759 Residual = 0.7497 Quantile = 0.364 Residual = 0.7074 Quantile = 0.3521 Residual = 0.6084 Quantile = 0.3403 Residual = 0.6012 Quantile = 0.3285 Residual = 0.4516 Quantile = 0.3168 Residual = 0.3577 Quantile = 0.3051 Residual = 0.3378 Quantile = 0.2935 Residual = 0.3323 Quantile = 0.2819 Residual = 0.3321 Quantile = 0.2703 Residual = 0.2939 Quantile = 0.2588 Residual = 0.2576 Quantile = 0.2473 Residual = 0.2554 Quantile = 0.2359 Residual = 0.2294 Quantile = 0.2244 Residual = 0.1982 Quantile = 0.213 Residual = 0.1421 Quantile = 0.2017 Residual = 0.1147 Quantile = 0.1903 Residual = 0.1103 Quantile = 0.179 Residual = 0.0119 Quantile = 0.1677 Residual = 0.0107 Quantile = 0.1564 Residual = 0.0012 Quantile = 0.1452 Residual = 0.001 Quantile = 0.1339 Residual = .00086 Quantile = 0.1227 Residual = .00073 Quantile = 0.1115 Residual = .00031 Quantile = 0.1003 Residual = -52E-6 Quantile = 0.0891 Residual = -16E-5 Quantile = 0.078 Residual = -0.03 Quantile = 0.0668 Residual = -0.077 Quantile = 0.0557 Residual = -0.083 Quantile = 0.0445 Residual = -0.098 Quantile = 0.0334 Residual = -0.104 Quantile = 0.0223 Residual = -0.143 Quantile = 0.0111 Residual = -0.144 Quantile = 0 Residual = -0.149 Quantile = -0.011 Residual = -0.16 Quantile = -0.022 Residual = -0.168 Quantile = -0.033 Residual = -0.184 Quantile = -0.045 Residual = -0.214 Quantile = -0.056 Residual = -0.233 Quantile = -0.067 Residual = -0.238 Quantile = -0.078 Residual = -0.251 Quantile = -0.089 Residual = -0.275 Quantile = -0.1 Residual = -0.295 Quantile = -0.112 Residual = -0.317 Quantile = -0.123 Residual = -0.332 Quantile = -0.134 Residual = -0.333 Quantile = -0.145 Residual = -0.335 Quantile = -0.156 Residual = -0.341 Quantile = -0.168 Residual = -0.345 Quantile = -0.179 Residual = -0.381 Quantile = -0.19 Residual = -0.392 Quantile = -0.202 Residual = -0.397 Quantile = -0.213 Residual = -0.419 Quantile = -0.224 Residual = -0.428 Quantile = -0.236 Residual = -0.477 Quantile = -0.247 Residual = -0.494 Quantile = -0.259 Residual = -0.499 Quantile = -0.27 Residual = -0.5 Quantile = -0.282 Residual = -0.5 Quantile = -0.293 Residual = -0.502 Quantile = -0.305 Residual = -0.564 Quantile = -0.317 Residual = -0.572 Quantile = -0.329 Residual = -0.624 Quantile = -0.34 Residual = -0.657 Quantile = -0.352 Residual = -0.669 Quantile = -0.364 Residual = -0.69 Quantile = -0.376 Residual = -0.705 Quantile = -0.388 Residual = -0.715 Quantile = -0.4 Residual = -0.72 Quantile = -0.412 Residual = -0.721 Quantile = -0.424 Residual = -0.726 Quantile = -0.436 Residual = -0.788 Quantile = -0.449 Residual = -0.795 Quantile = -0.461 Residual = -0.797 Quantile = -0.473 Residual = -0.808 Quantile = -0.486 Residual = -0.836 Quantile = -0.498 Residual = -0.902 Quantile = -0.511 Residual = -0.985 Quantile = -0.524 Residual = -0.992 Quantile = -0.537 Residual = -0.994 Quantile = -0.549 Residual = -0.994 Quantile = -0.562 Residual = -0.996 Quantile = -0.576 Residual = -0.997 Quantile = -0.589 Residual = -1.003 Quantile = -0.602 Residual = -1.049 Quantile = -0.615 Residual = -1.065 Quantile = -0.629 Residual = -1.076 Quantile = -0.643 Residual = -1.079 Quantile = -0.656 Residual = -1.085 Quantile = -0.67 Residual = -1.095 Quantile = -0.684 Residual = -1.11 Quantile = -0.698 Residual = -1.119 Quantile = -0.713 Residual = -1.121 Quantile = -0.727 Residual = -1.136 Quantile = -0.742 Residual = -1.147 Quantile = -0.756 Residual = -1.16 Quantile = -0.771 Residual = -1.168 Quantile = -0.786 Residual = -1.168 Quantile = -0.801 Residual = -1.183 Quantile = -0.817 Residual = -1.192 Quantile = -0.833 Residual = -1.226 Quantile = -0.848 Residual = -1.237 Quantile = -0.864 Residual = -1.248 Quantile = -0.881 Residual = -1.251 Quantile = -0.897 Residual = -1.26 Quantile = -0.914 Residual = -1.283 Quantile = -0.931 Residual = -1.284 Quantile = -0.948 Residual = -1.286 Quantile = -0.966 Residual = -1.298 Quantile = -0.984 Residual = -1.337 Quantile = -1.002 Residual = -1.339 Quantile = -1.021 Residual = -1.339 Quantile = -1.04 Residual = -1.34 Quantile = -1.059 Residual = -1.366 Quantile = -1.079 Residual = -1.378 Quantile = -1.099 Residual = -1.392 Quantile = -1.119 Residual = -1.406 Quantile = -1.14 Residual = -1.427 Quantile = -1.162 Residual = -1.442 Quantile = -1.184 Residual = -1.443 Quantile = -1.207 Residual = -1.452 Quantile = -1.23 Residual = -1.498 Quantile = -1.254 Residual = -1.499 Quantile = -1.279 Residual = -1.5 Quantile = -1.305 Residual = -1.501 Quantile = -1.331 Residual = -1.517 Quantile = -1.359 Residual = -1.601 Quantile = -1.387 Residual = -1.665 Quantile = -1.417 Residual = -1.684 Quantile = -1.448 Residual = -1.719 Quantile = -1.481 Residual = -1.801 Quantile = -1.515 Residual = -1.825 Quantile = -1.551 Residual = -1.83 Quantile = -1.589 Residual = -2 Quantile = -1.629 Residual = -2.003 Quantile = -1.673 Residual = -2.004 Quantile = -1.72 Residual = -2.005 Quantile = -1.771 Residual = -2.012 Quantile = -1.827 Residual = -2.098 Quantile = -1.89 Residual = -2.248 Quantile = -1.96 Residual = -2.252 Quantile = -2.043 Residual = -2.254 Quantile = -2.142 Residual = -3 Quantile = -2.268 Residual = -3 Quantile = -2.446 Residual = -3 Quantile = -2.773 Residual = -3.002 Slope = 1.4047 Y = 0.0684 Lag = 24 ACF = 0.1059 Lag = 23 ACF = -0.005 Lag = 22 ACF = 0.1082 Lag = 21 ACF = -0.038 Lag = 20 ACF = 0.052 Lag = 19 ACF = -0.047 Lag = 18 ACF = 0.0145 Lag = 17 ACF = -0.177 Lag = 16 ACF = -0.06 Lag = 15 ACF = -0.074 Lag = 14 ACF = 0.066 Lag = 13 ACF = -0.075 Lag = 12 ACF = -0.025 Lag = 11 ACF = 0.0264 Lag = 10 ACF = -0.002 Lag = 9 ACF = -0.137 Lag = 8 ACF = 0.0141 Lag = 7 ACF = 0.0249 Lag = 6 ACF = 0.0553 Lag = 5 ACF = -0.02 Lag = 4 ACF = 0.043 Lag = 3 ACF = -0.056 Lag = 2 ACF = -0.045 Lag = 1 ACF = 0.0653 Lag = 0 ACF = 1 Lag = 24 Lower = -0.147 Upper = 0.1466 Lag = 23 Lower = -0.147 Upper = 0.1466 Lag = 23 Lower = -0.147 Upper = 0.1466 Lag = 22 Lower = -0.145 Upper = 0.1452 Lag = 22 Lower = -0.145 Upper = 0.1452 Lag = 21 Lower = -0.145 Upper = 0.145 Lag = 21 Lower = -0.145 Upper = 0.145 Lag = 20 Lower = -0.145 Upper = 0.1447 Lag = 20 Lower = -0.145 Upper = 0.1447 Lag = 19 Lower = -0.144 Upper = 0.1444 Lag = 19 Lower = -0.144 Upper = 0.1444 Lag = 18 Lower = -0.144 Upper = 0.1444 Lag = 18 Lower = -0.144 Upper = 0.1444 Lag = 17 Lower = -0.14 Upper = 0.1404 Lag = 17 Lower = -0.14 Upper = 0.1404 Lag = 16 Lower = -0.14 Upper = 0.14 Lag = 16 Lower = -0.14 Upper = 0.14 Lag = 15 Lower = -0.139 Upper = 0.1393 Lag = 15 Lower = -0.139 Upper = 0.1393 Lag = 14 Lower = -0.139 Upper = 0.1387 Lag = 14 Lower = -0.139 Upper = 0.1387 Lag = 13 Lower = -0.138 Upper = 0.138 Lag = 13 Lower = -0.138 Upper = 0.138 Lag = 12 Lower = -0.138 Upper = 0.1379 Lag = 12 Lower = -0.138 Upper = 0.1379 Lag = 11 Lower = -0.138 Upper = 0.1378 Lag = 11 Lower = -0.138 Upper = 0.1378 Lag = 10 Lower = -0.138 Upper = 0.1378 Lag = 10 Lower = -0.138 Upper = 0.1378 Lag = 9 Lower = -0.135 Upper = 0.1354 Lag = 9 Lower = -0.135 Upper = 0.1354 Lag = 8 Lower = -0.135 Upper = 0.1354 Lag = 8 Lower = -0.135 Upper = 0.1354 Lag = 7 Lower = -0.135 Upper = 0.1353 Lag = 7 Lower = -0.135 Upper = 0.1353 Lag = 6 Lower = -0.135 Upper = 0.1349 Lag = 6 Lower = -0.135 Upper = 0.1349 Lag = 5 Lower = -0.135 Upper = 0.1348 Lag = 5 Lower = -0.135 Upper = 0.1348 Lag = 4 Lower = -0.135 Upper = 0.1346 Lag = 4 Lower = -0.135 Upper = 0.1346 Lag = 3 Lower = -0.134 Upper = 0.1342 Lag = 3 Lower = -0.134 Upper = 0.1342 Lag = 2 Lower = -0.134 Upper = 0.1339 Lag = 2 Lower = -0.134 Upper = 0.1339 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = 0.1086 Lag = 23 PACF = 0.0228 Lag = 22 PACF = 0.1049 Lag = 21 PACF = -0.045 Lag = 20 PACF = 0.0501 Lag = 19 PACF = -0.057 Lag = 18 PACF = 0.0041 Lag = 17 PACF = -0.171 Lag = 16 PACF = -0.044 Lag = 15 PACF = -0.084 Lag = 14 PACF = 0.0684 Lag = 13 PACF = -0.058 Lag = 12 PACF = -0.047 Lag = 11 PACF = 0.0166 Lag = 10 PACF = 0.0142 Lag = 9 PACF = -0.13 Lag = 8 PACF = 0.0112 Lag = 7 PACF = 0.0199 Lag = 6 PACF = 0.0607 Lag = 5 PACF = -0.032 Lag = 4 PACF = 0.0483 Lag = 3 PACF = -0.05 Lag = 2 PACF = -0.049 Lag = 1 PACF = 0.0653 Lag = 24 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 23 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 22 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 21 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 20 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 19 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 18 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 17 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 16 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 15 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 14 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 13 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 12 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 11 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 10 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 9 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 8 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 7 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 6 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 5 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 4 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 3 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 2 Lower = -0.133 Upper = 0.1333 Lag = 1 Lower = -0.133 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Aug2019 Loess Fit = 0.0428 Date_of_death = Jul2019 Loess Fit = 0.046 Date_of_death = Jul2019 Loess Fit = 0.046 Date_of_death = Jun2019 Loess Fit = 0.0492 Date_of_death = Jun2019 Loess Fit = 0.0492 Date_of_death = May2019 Loess Fit = 0.0524 Date_of_death = May2019 Loess Fit = 0.0524 Date_of_death = Apr2019 Loess Fit = 0.0556 Date_of_death = Apr2019 Loess Fit = 0.0556 Date_of_death = Mar2019 Loess Fit = 0.0588 Date_of_death = Mar2019 Loess Fit = 0.0588 Date_of_death = Feb2019 Loess Fit = 0.062 Date_of_death = Feb2019 Loess Fit = 0.062 Date_of_death = Jan2019 Loess Fit = 0.0652 Date_of_death = Jan2019 Loess Fit = 0.0652 Date_of_death = Dec2018 Loess Fit = 0.0684 Date_of_death = Dec2018 Loess Fit = 0.0684 Date_of_death = Oct2018 Loess Fit = 0.0716 Date_of_death = Oct2018 Loess Fit = 0.0716 Date_of_death = Sep2018 Loess Fit = 0.0748 Date_of_death = Sep2018 Loess Fit = 0.0748 Date_of_death = Aug2018 Loess Fit = 0.078 Date_of_death = Aug2018 Loess Fit = 0.078 Date_of_death = Jul2018 Loess Fit = 0.0812 Date_of_death = Jul2018 Loess Fit = 0.0812 Date_of_death = Jun2018 Loess Fit = 0.0845 Date_of_death = Jun2018 Loess Fit = 0.0845 Date_of_death = May2018 Loess Fit = 0.0877 Date_of_death = May2018 Loess Fit = 0.0877 Date_of_death = Apr2018 Loess Fit = 0.0909 Date_of_death = Apr2018 Loess Fit = 0.0909 Date_of_death = Mar2018 Loess Fit = 0.0941 Date_of_death = Mar2018 Loess Fit = 0.0941 Date_of_death = Jan2018 Loess Fit = 0.0973 Date_of_death = Jan2018 Loess Fit = 0.0973 Date_of_death = Dec2017 Loess Fit = 0.1005 Date_of_death = Dec2017 Loess Fit = 0.1005 Date_of_death = Nov2017 Loess Fit = 0.1037 Date_of_death = Nov2017 Loess Fit = 0.1037 Date_of_death = Oct2017 Loess Fit = 0.1069 Date_of_death = Oct2017 Loess Fit = 0.1069 Date_of_death = Sep2017 Loess Fit = 0.1101 Date_of_death = Sep2017 Loess Fit = 0.1101 Date_of_death = Aug2017 Loess Fit = 0.1133 Date_of_death = Aug2017 Loess Fit = 0.1133 Date_of_death = Jul2017 Loess Fit = 0.1165 Date_of_death = Jul2017 Loess Fit = 0.1165 Date_of_death = Jun2017 Loess Fit = 0.1197 Date_of_death = Jun2017 Loess Fit = 0.1197 Date_of_death = May2017 Loess Fit = 0.1229 Date_of_death = May2017 Loess Fit = 0.1229 Date_of_death = Mar2017 Loess Fit = 0.1253 Date_of_death = Mar2017 Loess Fit = 0.1253 Date_of_death = Feb2017 Loess Fit = 0.1276 Date_of_death = Feb2017 Loess Fit = 0.1276 Date_of_death = Jan2017 Loess Fit = 0.1299 Date_of_death = Jan2017 Loess Fit = 0.1299 Date_of_death = Dec2016 Loess Fit = 0.1322 Date_of_death = Dec2016 Loess Fit = 0.1322 Date_of_death = Nov2016 Loess Fit = 0.1346 Date_of_death = Nov2016 Loess Fit = 0.1346 Date_of_death = Oct2016 Loess Fit = 0.1369 Date_of_death = Oct2016 Loess Fit = 0.1369 Date_of_death = Sep2016 Loess Fit = 0.1392 Date_of_death = Sep2016 Loess Fit = 0.1392 Date_of_death = Aug2016 Loess Fit = 0.1415 Date_of_death = Aug2016 Loess Fit = 0.1415 Date_of_death = Jun2016 Loess Fit = 0.1438 Date_of_death = Jun2016 Loess Fit = 0.1438 Date_of_death = May2016 Loess Fit = 0.1462 Date_of_death = May2016 Loess Fit = 0.1462 Date_of_death = Apr2016 Loess Fit = 0.1485 Date_of_death = Apr2016 Loess Fit = 0.1485 Date_of_death = Mar2016 Loess Fit = 0.1508 Date_of_death = Mar2016 Loess Fit = 0.1508 Date_of_death = Feb2016 Loess Fit = 0.1531 Date_of_death = Feb2016 Loess Fit = 0.1531 Date_of_death = Jan2016 Loess Fit = 0.1554 Date_of_death = Jan2016 Loess Fit = 0.1554 Date_of_death = Dec2015 Loess Fit = 0.1577 Date_of_death = Dec2015 Loess Fit = 0.1577 Date_of_death = Nov2015 Loess Fit = 0.1601 Date_of_death = Nov2015 Loess Fit = 0.1601 Date_of_death = Sep2015 Loess Fit = 0.1624 Date_of_death = Sep2015 Loess Fit = 0.1624 Date_of_death = Aug2015 Loess Fit = 0.1647 Date_of_death = Aug2015 Loess Fit = 0.1647 Date_of_death = Jul2015 Loess Fit = 0.167 Date_of_death = Jul2015 Loess Fit = 0.167 Date_of_death = Jun2015 Loess Fit = 0.1693 Date_of_death = Jun2015 Loess Fit = 0.1693 Date_of_death = May2015 Loess Fit = 0.1717 Date_of_death = May2015 Loess Fit = 0.1717 Date_of_death = Apr2015 Loess Fit = 0.174 Date_of_death = Apr2015 Loess Fit = 0.174 Date_of_death = Mar2015 Loess Fit = 0.1763 Date_of_death = Mar2015 Loess Fit = 0.1763 Date_of_death = Feb2015 Loess Fit = 0.1786 Date_of_death = Feb2015 Loess Fit = 0.1786 Date_of_death = Dec2014 Loess Fit = 0.1809 Date_of_death = Dec2014 Loess Fit = 0.1809 Date_of_death = Nov2014 Loess Fit = 0.181 Date_of_death = Nov2014 Loess Fit = 0.181 Date_of_death = Oct2014 Loess Fit = 0.181 Date_of_death = Oct2014 Loess Fit = 0.181 Date_of_death = Sep2014 Loess Fit = 0.181 Date_of_death = Sep2014 Loess Fit = 0.181 Date_of_death = Aug2014 Loess Fit = 0.1811 Date_of_death = Aug2014 Loess Fit = 0.1811 Date_of_death = Jul2014 Loess Fit = 0.1811 Date_of_death = Jul2014 Loess Fit = 0.1811 Date_of_death = Jun2014 Loess Fit = 0.1811 Date_of_death = Jun2014 Loess Fit = 0.1811 Date_of_death = May2014 Loess Fit = 0.1812 Date_of_death = May2014 Loess Fit = 0.1812 Date_of_death = Apr2014 Loess Fit = 0.1812 Date_of_death = Apr2014 Loess Fit = 0.1812 Date_of_death = Feb2014 Loess Fit = 0.1812 Date_of_death = Feb2014 Loess Fit = 0.1812 Date_of_death = Jan2014 Loess Fit = 0.1813 Date_of_death = Jan2014 Loess Fit = 0.1813 Date_of_death = Dec2013 Loess Fit = 0.1813 Date_of_death = Dec2013 Loess Fit = 0.1813 Date_of_death = Nov2013 Loess Fit = 0.1814 Date_of_death = Nov2013 Loess Fit = 0.1814 Date_of_death = Oct2013 Loess Fit = 0.1814 Date_of_death = Oct2013 Loess Fit = 0.1814 Date_of_death = Sep2013 Loess Fit = 0.1814 Date_of_death = Sep2013 Loess Fit = 0.1814 Date_of_death = Aug2013 Loess Fit = 0.1815 Date_of_death = Aug2013 Loess Fit = 0.1815 Date_of_death = Jul2013 Loess Fit = 0.1815 Date_of_death = Jul2013 Loess Fit = 0.1815 Date_of_death = May2013 Loess Fit = 0.1815 Date_of_death = May2013 Loess Fit = 0.1815 Date_of_death = Apr2013 Loess Fit = 0.1816 Date_of_death = Apr2013 Loess Fit = 0.1816 Date_of_death = Mar2013 Loess Fit = 0.1816 Date_of_death = Mar2013 Loess Fit = 0.1816 Date_of_death = Feb2013 Loess Fit = 0.1816 Date_of_death = Feb2013 Loess Fit = 0.1816 Date_of_death = Jan2013 Loess Fit = 0.1817 Date_of_death = Jan2013 Loess Fit = 0.1817 Date_of_death = Dec2012 Loess Fit = 0.1817 Date_of_death = Dec2012 Loess Fit = 0.1817 Date_of_death = Nov2012 Loess Fit = 0.1817 Date_of_death = Nov2012 Loess Fit = 0.1817 Date_of_death = Oct2012 Loess Fit = 0.1818 Date_of_death = Oct2012 Loess Fit = 0.1818 Date_of_death = Aug2012 Loess Fit = 0.1818 Date_of_death = Aug2012 Loess Fit = 0.1818 Date_of_death = Jul2012 Loess Fit = 0.1763 Date_of_death = Jul2012 Loess Fit = 0.1763 Date_of_death = Jun2012 Loess Fit = 0.1709 Date_of_death = Jun2012 Loess Fit = 0.1709 Date_of_death = May2012 Loess Fit = 0.1655 Date_of_death = May2012 Loess Fit = 0.1655 Date_of_death = Apr2012 Loess Fit = 0.1601 Date_of_death = Apr2012 Loess Fit = 0.1601 Date_of_death = Mar2012 Loess Fit = 0.1547 Date_of_death = Mar2012 Loess Fit = 0.1547 Date_of_death = Feb2012 Loess Fit = 0.1492 Date_of_death = Feb2012 Loess Fit = 0.1492 Date_of_death = Jan2012 Loess Fit = 0.1438 Date_of_death = Jan2012 Loess Fit = 0.1438 Date_of_death = Dec2011 Loess Fit = 0.1384 Date_of_death = Dec2011 Loess Fit = 0.1384 Date_of_death = Oct2011 Loess Fit = 0.133 Date_of_death = Oct2011 Loess Fit = 0.133 Date_of_death = Sep2011 Loess Fit = 0.1276 Date_of_death = Sep2011 Loess Fit = 0.1276 Date_of_death = Aug2011 Loess Fit = 0.1221 Date_of_death = Aug2011 Loess Fit = 0.1221 Date_of_death = Jul2011 Loess Fit = 0.1167 Date_of_death = Jul2011 Loess Fit = 0.1167 Date_of_death = Jun2011 Loess Fit = 0.1113 Date_of_death = Jun2011 Loess Fit = 0.1113 Date_of_death = May2011 Loess Fit = 0.1059 Date_of_death = May2011 Loess Fit = 0.1059 Date_of_death = Apr2011 Loess Fit = 0.1005 Date_of_death = Apr2011 Loess Fit = 0.1005 Date_of_death = Mar2011 Loess Fit = 0.095 Date_of_death = Mar2011 Loess Fit = 0.095 Date_of_death = Jan2011 Loess Fit = 0.0896 Date_of_death = Jan2011 Loess Fit = 0.0896 Date_of_death = Dec2010 Loess Fit = 0.0842 Date_of_death = Dec2010 Loess Fit = 0.0842 Date_of_death = Nov2010 Loess Fit = 0.0788 Date_of_death = Nov2010 Loess Fit = 0.0788 Date_of_death = Oct2010 Loess Fit = 0.0733 Date_of_death = Oct2010 Loess Fit = 0.0733 Date_of_death = Sep2010 Loess Fit = 0.0679 Date_of_death = Sep2010 Loess Fit = 0.0679 Date_of_death = Aug2010 Loess Fit = 0.0625 Date_of_death = Aug2010 Loess Fit = 0.0625 Date_of_death = Jul2010 Loess Fit = 0.0571 Date_of_death = Jul2010 Loess Fit = 0.0571 Date_of_death = Jun2010 Loess Fit = 0.0517 Date_of_death = Jun2010 Loess Fit = 0.0517 Date_of_death = May2010 Loess Fit = 0.0462 Date_of_death = May2010 Loess Fit = 0.0462 Date_of_death = Mar2010 Loess Fit = 0.0412 Date_of_death = Mar2010 Loess Fit = 0.0412 Date_of_death = Feb2010 Loess Fit = 0.0363 Date_of_death = Feb2010 Loess Fit = 0.0363 Date_of_death = Jan2010 Loess Fit = 0.0313 Date_of_death = Jan2010 Loess Fit = 0.0313 Date_of_death = Dec2009 Loess Fit = 0.0263 Date_of_death = Dec2009 Loess Fit = 0.0263 Date_of_death = Nov2009 Loess Fit = 0.0213 Date_of_death = Nov2009 Loess Fit = 0.0213 Date_of_death = Oct2009 Loess Fit = 0.0163 Date_of_death = Oct2009 Loess Fit = 0.0163 Date_of_death = Sep2009 Loess Fit = 0.0113 Date_of_death = Sep2009 Loess Fit = 0.0113 Date_of_death = Aug2009 Loess Fit = 0.0063 Date_of_death = Aug2009 Loess Fit = 0.0063 Date_of_death = Jun2009 Loess Fit = 0.0013 Date_of_death = Jun2009 Loess Fit = 0.0013 Date_of_death = May2009 Loess Fit = -0.004 Date_of_death = May2009 Loess Fit = -0.004 Date_of_death = Apr2009 Loess Fit = -0.009 Date_of_death = Apr2009 Loess Fit = -0.009 Date_of_death = Mar2009 Loess Fit = -0.014 Date_of_death = Mar2009 Loess Fit = -0.014 Date_of_death = Feb2009 Loess Fit = -0.019 Date_of_death = Feb2009 Loess Fit = -0.019 Date_of_death = Jan2009 Loess Fit = -0.024 Date_of_death = Jan2009 Loess Fit = -0.024 Date_of_death = Dec2008 Loess Fit = -0.029 Date_of_death = Dec2008 Loess Fit = -0.029 Date_of_death = Nov2008 Loess Fit = -0.034 Date_of_death = Nov2008 Loess Fit = -0.034 Date_of_death = Sep2008 Loess Fit = -0.039 Date_of_death = Sep2008 Loess Fit = -0.039 Date_of_death = Aug2008 Loess Fit = -0.044 Date_of_death = Aug2008 Loess Fit = -0.044 Date_of_death = Jul2008 Loess Fit = -0.049 Date_of_death = Jul2008 Loess Fit = -0.049 Date_of_death = Jun2008 Loess Fit = -0.054 Date_of_death = Jun2008 Loess Fit = -0.054 Date_of_death = May2008 Loess Fit = -0.059 Date_of_death = May2008 Loess Fit = -0.059 Date_of_death = Apr2008 Loess Fit = -0.064 Date_of_death = Apr2008 Loess Fit = -0.064 Date_of_death = Mar2008 Loess Fit = -0.069 Date_of_death = Mar2008 Loess Fit = -0.069 Date_of_death = Feb2008 Loess Fit = -0.074 Date_of_death = Feb2008 Loess Fit = -0.074 Date_of_death = Jan2008 Loess Fit = -0.078 Date_of_death = Jan2008 Loess Fit = -0.078 Date_of_death = Nov2007 Loess Fit = -0.078 Date_of_death = Nov2007 Loess Fit = -0.078 Date_of_death = Oct2007 Loess Fit = -0.077 Date_of_death = Oct2007 Loess Fit = -0.077 Date_of_death = Sep2007 Loess Fit = -0.077 Date_of_death = Sep2007 Loess Fit = -0.077 Date_of_death = Aug2007 Loess Fit = -0.076 Date_of_death = Aug2007 Loess Fit = -0.076 Date_of_death = Jul2007 Loess Fit = -0.075 Date_of_death = Jul2007 Loess Fit = -0.075 Date_of_death = Jun2007 Loess Fit = -0.075 Date_of_death = Jun2007 Loess Fit = -0.075 Date_of_death = May2007 Loess Fit = -0.074 Date_of_death = May2007 Loess Fit = -0.074 Date_of_death = Apr2007 Loess Fit = -0.073 Date_of_death = Apr2007 Loess Fit = -0.073 Date_of_death = Feb2007 Loess Fit = -0.073 Date_of_death = Feb2007 Loess Fit = -0.073 Date_of_death = Jan2007 Loess Fit = -0.072 Date_of_death = Jan2007 Loess Fit = -0.072 Date_of_death = Dec2006 Loess Fit = -0.072 Date_of_death = Dec2006 Loess Fit = -0.072 Date_of_death = Nov2006 Loess Fit = -0.071 Date_of_death = Nov2006 Loess Fit = -0.071 Date_of_death = Oct2006 Loess Fit = -0.07 Date_of_death = Oct2006 Loess Fit = -0.07 Date_of_death = Sep2006 Loess Fit = -0.07 Date_of_death = Sep2006 Loess Fit = -0.07 Date_of_death = Aug2006 Loess Fit = -0.069 Date_of_death = Aug2006 Loess Fit = -0.069 Date_of_death = Jul2006 Loess Fit = -0.068 Date_of_death = Jul2006 Loess Fit = -0.068 Date_of_death = May2006 Loess Fit = -0.068 Date_of_death = May2006 Loess Fit = -0.068 Date_of_death = Apr2006 Loess Fit = -0.067 Date_of_death = Apr2006 Loess Fit = -0.067 Date_of_death = Mar2006 Loess Fit = -0.066 Date_of_death = Mar2006 Loess Fit = -0.066 Date_of_death = Feb2006 Loess Fit = -0.066 Date_of_death = Feb2006 Loess Fit = -0.066 Date_of_death = Jan2006 Loess Fit = -0.065 Date_of_death = Jan2006 Loess Fit = -0.065 Date_of_death = Dec2005 Loess Fit = -0.065 Date_of_death = Dec2005 Loess Fit = -0.065 Date_of_death = Nov2005 Loess Fit = -0.064 Date_of_death = Nov2005 Loess Fit = -0.064 Date_of_death = Oct2005 Loess Fit = -0.063 Date_of_death = Oct2005 Loess Fit = -0.063 Date_of_death = Sep2005 Loess Fit = -0.063 Date_of_death = Sep2005 Loess Fit = -0.063 Date_of_death = Jul2005 Loess Fit = -0.057 Date_of_death = Jul2005 Loess Fit = -0.057 Date_of_death = Jun2005 Loess Fit = -0.052 Date_of_death = Jun2005 Loess Fit = -0.052 Date_of_death = May2005 Loess Fit = -0.047 Date_of_death = May2005 Loess Fit = -0.047 Date_of_death = Apr2005 Loess Fit = -0.041 Date_of_death = Apr2005 Loess Fit = -0.041 Date_of_death = Mar2005 Loess Fit = -0.036 Date_of_death = Mar2005 Loess Fit = -0.036 Date_of_death = Feb2005 Loess Fit = -0.031 Date_of_death = Feb2005 Loess Fit = -0.031 Date_of_death = Jan2005 Loess Fit = -0.025 Date_of_death = Jan2005 Loess Fit = -0.025 Date_of_death = Dec2004 Loess Fit = -0.02 Date_of_death = Dec2004 Loess Fit = -0.02 Date_of_death = Oct2004 Loess Fit = -0.015 Date_of_death = Oct2004 Loess Fit = -0.015 Date_of_death = Sep2004 Loess Fit = -0.009 Date_of_death = Sep2004 Loess Fit = -0.009 Date_of_death = Aug2004 Loess Fit = -0.004 Date_of_death = Aug2004 Loess Fit = -0.004 Date_of_death = Jul2004 Loess Fit = 0.0015 Date_of_death = Jul2004 Loess Fit = 0.0015 Date_of_death = Jun2004 Loess Fit = 0.0069 Date_of_death = Jun2004 Loess Fit = 0.0069 Date_of_death = May2004 Loess Fit = 0.0122 Date_of_death = May2004 Loess Fit = 0.0122 Date_of_death = Apr2004 Loess Fit = 0.0176 Date_of_death = Apr2004 Loess Fit = 0.0176 Date_of_death = Mar2004 Loess Fit = 0.0229 Date_of_death = Mar2004 Loess Fit = 0.0229 Date_of_death = Jan2004 Loess Fit = 0.0283 Date_of_death = Jan2004 Loess Fit = 0.0283 Date_of_death = Dec2003 Loess Fit = 0.0337 Date_of_death = Dec2003 Loess Fit = 0.0337 Date_of_death = Nov2003 Loess Fit = 0.039 Date_of_death = Nov2003 Loess Fit = 0.039 Date_of_death = Oct2003 Loess Fit = 0.0444 Date_of_death = Oct2003 Loess Fit = 0.0444 Date_of_death = Sep2003 Loess Fit = 0.0497 Date_of_death = Sep2003 Loess Fit = 0.0497 Date_of_death = Aug2003 Loess Fit = 0.0551 Date_of_death = Aug2003 Loess Fit = 0.0551 Date_of_death = Jul2003 Loess Fit = 0.0604 Date_of_death = Jul2003 Loess Fit = 0.0604 Date_of_death = Jun2003 Loess Fit = 0.0658 Date_of_death = Jun2003 Loess Fit = 0.0658 Date_of_death = May2003 Loess Fit = 0.0711 Date_of_death = May2003 Loess Fit = 0.0711 Date_of_death = Mar2003 Loess Fit = 0.0773 Date_of_death = Mar2003 Loess Fit = 0.0773 Date_of_death = Feb2003 Loess Fit = 0.0835 Date_of_death = Feb2003 Loess Fit = 0.0835 Date_of_death = Jan2003 Loess Fit = 0.0897 Date_of_death = Jan2003 Loess Fit = 0.0897 Date_of_death = Dec2002 Loess Fit = 0.0958 Date_of_death = Dec2002 Loess Fit = 0.0958 Date_of_death = Nov2002 Loess Fit = 0.102 Date_of_death = Nov2002 Loess Fit = 0.102 Date_of_death = Oct2002 Loess Fit = 0.1082 Date_of_death = Oct2002 Loess Fit = 0.1082 Date_of_death = Sep2002 Loess Fit = 0.1144 Date_of_death = Sep2002 Loess Fit = 0.1144 Date_of_death = Aug2002 Loess Fit = 0.1206 Date_of_death = Aug2002 Loess Fit = 0.1206 Date_of_death = Jun2002 Loess Fit = 0.1268 Date_of_death = Jun2002 Loess Fit = 0.1268 Date_of_death = May2002 Loess Fit = 0.133 Date_of_death = May2002 Loess Fit = 0.133 Date_of_death = Apr2002 Loess Fit = 0.1392 Date_of_death = Apr2002 Loess Fit = 0.1392 Date_of_death = Mar2002 Loess Fit = 0.1453 Date_of_death = Mar2002 Loess Fit = 0.1453 Date_of_death = Feb2002 Loess Fit = 0.1515 Date_of_death = Feb2002 Loess Fit = 0.1515 Date_of_death = Jan2002 Loess Fit = 0.1577 Date_of_death = Jan2002 Loess Fit = 0.1577 Date_of_death = Dec2001 Loess Fit = 0.1639 Date_of_death = Dec2001 Loess Fit = 0.1639 Date_of_death = Nov2001 Loess Fit = 0.1701 Date_of_death = Nov2001 Loess Fit = 0.1701 Date_of_death = Sep2001 Loess Fit = 0.1763 Date_of_death = Sep2001 Loess Fit = 0.1763 Date_of_death = Aug2001 Loess Fit = 0.1825 Date_of_death = Aug2001 Loess Fit = 0.1825 Date_of_death = Jul2001 Loess Fit = 0.1887 Date_of_death = Jul2001 Loess Fit = 0.1887 Date_of_death = Jun2001 Loess Fit = 0.1949 Date_of_death = Jun2001 Loess Fit = 0.1949 Date_of_death = May2001 Loess Fit = 0.201 Date_of_death = May2001 Loess Fit = 0.201 Date_of_death = Apr2001 Loess Fit = 0.2072 Date_of_death = Apr2001 Loess Fit = 0.2072 Date_of_death = Mar2001 Loess Fit = 0.2134 Date_of_death = Mar2001 Loess Fit = 0.2134 Date_of_death = Feb2001 Loess Fit = 0.2196 Date_of_death = Feb2001 Loess Fit = 0.2196 Date_of_death = Jan2001 Loess Fit = 0.2258 Date_of_death = Sep2019 Prediction Error = 0.0119 Date_of_death = Aug2019 Prediction Error = 0.6012 Date_of_death = Jul2019 Prediction Error = -1.34 Date_of_death = Jun2019 Prediction Error = -1.136 Date_of_death = May2019 Prediction Error = 0.7497 Date_of_death = Apr2019 Prediction Error = -1.085 Date_of_death = Mar2019 Prediction Error = 1.4118 Date_of_death = Feb2019 Prediction Error = -1.079 Date_of_death = Jan2019 Prediction Error = 1.4899 Date_of_death = Dec2018 Prediction Error = 1.53 Date_of_death = Nov2018 Prediction Error = -1.452 Date_of_death = Oct2018 Prediction Error = -0.104 Date_of_death = Sep2018 Prediction Error = 0.0107 Date_of_death = Aug2018 Prediction Error = -0.419 Date_of_death = Jul2018 Prediction Error = 0.7074 Date_of_death = Jun2018 Prediction Error = -0.149 Date_of_death = May2018 Prediction Error = 0.8023 Date_of_death = Apr2018 Prediction Error = -0.098 Date_of_death = Mar2018 Prediction Error = -1.684 Date_of_death = Feb2018 Prediction Error = -1.147 Date_of_death = Jan2018 Prediction Error = 1.5824 Date_of_death = Dec2017 Prediction Error = 1.6311 Date_of_death = Nov2017 Prediction Error = 1.6456 Date_of_death = Oct2017 Prediction Error = -1.183 Date_of_death = Sep2017 Prediction Error = -1.049 Date_of_death = Aug2017 Prediction Error = 1.6871 Date_of_death = Jul2017 Prediction Error = -0.317 Date_of_death = Jun2017 Prediction Error = 1.9719 Date_of_death = May2017 Prediction Error = -1.283 Date_of_death = Apr2017 Prediction Error = -1.16 Date_of_death = Mar2017 Prediction Error = -0.721 Date_of_death = Feb2017 Prediction Error = -0.16 Date_of_death = Jan2017 Prediction Error = -1.517 Date_of_death = Dec2016 Prediction Error = 1.7434 Date_of_death = Nov2016 Prediction Error = -0.381 Date_of_death = Oct2016 Prediction Error = -1.26 Date_of_death = Sep2016 Prediction Error = 2.0845 Date_of_death = Aug2016 Prediction Error = -0.341 Date_of_death = Jul2016 Prediction Error = -0.345 Date_of_death = Jun2016 Prediction Error = -1.095 Date_of_death = May2016 Prediction Error = -0.295 Date_of_death = Apr2016 Prediction Error = 1.9714 Date_of_death = Mar2016 Prediction Error = 1.3628 Date_of_death = Feb2016 Prediction Error = 1.9698 Date_of_death = Jan2016 Prediction Error = -0.564 Date_of_death = Dec2015 Prediction Error = 1.8752 Date_of_death = Nov2015 Prediction Error = 1.7379 Date_of_death = Oct2015 Prediction Error = 1.8568 Date_of_death = Sep2015 Prediction Error = -0.985 Date_of_death = Aug2015 Prediction Error = 1.7872 Date_of_death = Jul2015 Prediction Error = -1.443 Date_of_death = Jun2015 Prediction Error = -1.168 Date_of_death = May2015 Prediction Error = -1.392 Date_of_death = Apr2015 Prediction Error = -0.03 Date_of_death = Mar2015 Prediction Error = -0.69 Date_of_death = Feb2015 Prediction Error = 1.0453 Date_of_death = Jan2015 Prediction Error = 1.5322 Date_of_death = Dec2014 Prediction Error = -0.144 Date_of_death = Nov2014 Prediction Error = -1.366 Date_of_death = Oct2014 Prediction Error = -1.226 Date_of_death = Sep2014 Prediction Error = -1.065 Date_of_death = Aug2014 Prediction Error = 0.8551 Date_of_death = Jul2014 Prediction Error = -0.477 Date_of_death = Jun2014 Prediction Error = 1.9802 Date_of_death = May2014 Prediction Error = -0.428 Date_of_death = Apr2014 Prediction Error = 2.1268 Date_of_death = Mar2014 Prediction Error = -1.83 Date_of_death = Feb2014 Prediction Error = 1.1269 Date_of_death = Jan2014 Prediction Error = 1.6487 Date_of_death = Dec2013 Prediction Error = 2.0095 Date_of_death = Nov2013 Prediction Error = -0.397 Date_of_death = Oct2013 Prediction Error = 1.9268 Date_of_death = Sep2013 Prediction Error = -0.077 Date_of_death = Aug2013 Prediction Error = -1.237 Date_of_death = Jul2013 Prediction Error = -1.601 Date_of_death = Jun2013 Prediction Error = 2.1507 Date_of_death = May2013 Prediction Error = 0.6084 Date_of_death = Apr2013 Prediction Error = 0.1421 Date_of_death = Mar2013 Prediction Error = -0.902 Date_of_death = Feb2013 Prediction Error = 2.3014 Date_of_death = Jan2013 Prediction Error = -0.392 Date_of_death = Dec2012 Prediction Error = -1.076 Date_of_death = Nov2012 Prediction Error = 1.743 Date_of_death = Oct2012 Prediction Error = -0.083 Date_of_death = Sep2012 Prediction Error = -1.168 Date_of_death = Aug2012 Prediction Error = -1.339 Date_of_death = Jul2012 Prediction Error = -0.657 Date_of_death = Jun2012 Prediction Error = 2.3418 Date_of_death = May2012 Prediction Error = 1.7455 Date_of_death = Apr2012 Prediction Error = 2.3314 Date_of_death = Mar2012 Prediction Error = -0.994 Date_of_death = Feb2012 Prediction Error = 0.3323 Date_of_death = Jan2012 Prediction Error = 1.7542 Date_of_death = Dec2011 Prediction Error = 2.101 Date_of_death = Nov2011 Prediction Error = 0.8109 Date_of_death = Oct2011 Prediction Error = 2.1033 Date_of_death = Sep2011 Prediction Error = -0.184 Date_of_death = Aug2011 Prediction Error = 1.825 Date_of_death = Jul2011 Prediction Error = -1.825 Date_of_death = Jun2011 Prediction Error = -0.72 Date_of_death = May2011 Prediction Error = -1.378 Date_of_death = Apr2011 Prediction Error = -0.726 Date_of_death = Mar2011 Prediction Error = 1.1047 Date_of_death = Feb2011 Prediction Error = 0.3577 Date_of_death = Jan2011 Prediction Error = -0.275 Date_of_death = Dec2010 Prediction Error = 0.1103 Date_of_death = Nov2010 Prediction Error = -0.214 Date_of_death = Oct2010 Prediction Error = 0.1147 Date_of_death = Sep2010 Prediction Error = 2.0014 Date_of_death = Aug2010 Prediction Error = -1.298 Date_of_death = Jul2010 Prediction Error = -2.012 Date_of_death = Jun2010 Prediction Error = -0.788 Date_of_death = May2010 Prediction Error = 1.7948 Date_of_death = Apr2010 Prediction Error = 1.4007 Date_of_death = Mar2010 Prediction Error = -2.098 Date_of_death = Feb2010 Prediction Error = -0.705 Date_of_death = Jan2010 Prediction Error = 0.8019 Date_of_death = Dec2009 Prediction Error = -0.994 Date_of_death = Nov2009 Prediction Error = -0.238 Date_of_death = Oct2009 Prediction Error = -0.992 Date_of_death = Sep2009 Prediction Error = -1.11 Date_of_death = Aug2009 Prediction Error = -1.442 Date_of_death = Jul2009 Prediction Error = 1.1067 Date_of_death = Jun2009 Prediction Error = 0.2294 Date_of_death = May2009 Prediction Error = -0.233 Date_of_death = Apr2009 Prediction Error = 0.4516 Date_of_death = Mar2009 Prediction Error = 1.0069 Date_of_death = Feb2009 Prediction Error = 2.5565 Date_of_death = Jan2009 Prediction Error = -1.339 Date_of_death = Dec2008 Prediction Error = -1.119 Date_of_death = Nov2008 Prediction Error = 1.9935 Date_of_death = Oct2008 Prediction Error = -1.121 Date_of_death = Sep2008 Prediction Error = -1.248 Date_of_death = Aug2008 Prediction Error = -0.499 Date_of_death = Jul2008 Prediction Error = 1.25 Date_of_death = Jun2008 Prediction Error = 0.2576 Date_of_death = May2008 Prediction Error = 1.9936 Date_of_death = Apr2008 Prediction Error = -0.624 Date_of_death = Mar2008 Prediction Error = -2.254 Date_of_death = Feb2008 Prediction Error = -0.494 Date_of_death = Jan2008 Prediction Error = 1.8779 Date_of_death = Dec2007 Prediction Error = -0.143 Date_of_death = Nov2007 Prediction Error = 1.1413 Date_of_death = Oct2007 Prediction Error = -1.284 Date_of_death = Sep2007 Prediction Error = -1.427 Date_of_death = Aug2007 Prediction Error = -1.719 Date_of_death = Jul2007 Prediction Error = -2.004 Date_of_death = Jun2007 Prediction Error = 0.2939 Date_of_death = May2007 Prediction Error = 2.2856 Date_of_death = Apr2007 Prediction Error = -0.715 Date_of_death = Mar2007 Prediction Error = 0.8566 Date_of_death = Feb2007 Prediction Error = -0.572 Date_of_death = Jan2007 Prediction Error = -1.286 Date_of_death = Dec2006 Prediction Error = -0.168 Date_of_death = Nov2006 Prediction Error = -1.003 Date_of_death = Oct2006 Prediction Error = -1.499 Date_of_death = Sep2006 Prediction Error = -1.665 Date_of_death = Aug2006 Prediction Error = -2.005 Date_of_death = Jul2006 Prediction Error = 1.1662 Date_of_death = Jun2006 Prediction Error = 0.3378 Date_of_death = May2006 Prediction Error = -0.836 Date_of_death = Apr2006 Prediction Error = 0.3321 Date_of_death = Mar2006 Prediction Error = 1.0019 Date_of_death = Feb2006 Prediction Error = -0.669 Date_of_death = Jan2006 Prediction Error = 2.0061 Date_of_death = Dec2005 Prediction Error = -1.406 Date_of_death = Nov2005 Prediction Error = .00031 Date_of_death = Oct2005 Prediction Error = -1.801 Date_of_death = Sep2005 Prediction Error = -0.795 Date_of_death = Aug2005 Prediction Error = 1.1956 Date_of_death = Jul2005 Prediction Error = 1.4008 Date_of_death = Jun2005 Prediction Error = -0.797 Date_of_death = May2005 Prediction Error = 0.1982 Date_of_death = Apr2005 Prediction Error = 2.8032 Date_of_death = Mar2005 Prediction Error = 1.2031 Date_of_death = Feb2005 Prediction Error = -0.808 Date_of_death = Jan2005 Prediction Error = -1.192 Date_of_death = Dec2004 Prediction Error = 1.9972 Date_of_death = Nov2004 Prediction Error = -1.251 Date_of_death = Oct2004 Prediction Error = -2.252 Date_of_death = Sep2004 Prediction Error = -2.248 Date_of_death = Aug2004 Prediction Error = 1.4975 Date_of_death = Jul2004 Prediction Error = -2.003 Date_of_death = Jun2004 Prediction Error = -0.996 Date_of_death = May2004 Prediction Error = 2.7498 Date_of_death = Apr2004 Prediction Error = -0.251 Date_of_death = Mar2004 Prediction Error = 0.2554 Date_of_death = Feb2004 Prediction Error = 2.7459 Date_of_death = Jan2004 Prediction Error = -1.498 Date_of_death = Dec2003 Prediction Error = -1.337 Date_of_death = Nov2003 Prediction Error = -0.332 Date_of_death = Oct2003 Prediction Error = 1.0013 Date_of_death = Sep2003 Prediction Error = 1.0023 Date_of_death = Aug2003 Prediction Error = 2.0014 Date_of_death = Jul2003 Prediction Error = 1.3314 Date_of_death = Jun2003 Prediction Error = 0.0012 Date_of_death = May2003 Prediction Error = -0.333 Date_of_death = Apr2003 Prediction Error = -0.335 Date_of_death = Mar2003 Prediction Error = -0.997 Date_of_death = Feb2003 Prediction Error = 0.9986 Date_of_death = Jan2003 Prediction Error = -2 Date_of_death = Dec2002 Prediction Error = 2.4995 Date_of_death = Nov2002 Prediction Error = -0.5 Date_of_death = Oct2002 Prediction Error = -3.002 Date_of_death = Sep2002 Prediction Error = -3 Date_of_death = Aug2002 Prediction Error = -1.5 Date_of_death = Jul2002 Prediction Error = 1.9996 Date_of_death = Jun2002 Prediction Error = -1.501 Date_of_death = May2002 Prediction Error = -0.5 Date_of_death = Apr2002 Prediction Error = -0.502 Date_of_death = Mar2002 Prediction Error = -3 Date_of_death = Feb2002 Prediction Error = 0.001 Date_of_death = Jan2002 Prediction Error = 1.4992 Date_of_death = Dec2001 Prediction Error = 0.999 Date_of_death = Nov2001 Prediction Error = -3 Date_of_death = Oct2001 Prediction Error = -16E-5 Date_of_death = Sep2001 Prediction Error = .00073 Date_of_death = Aug2001 Prediction Error = 3.0005 Date_of_death = Jul2001 Prediction Error = 2.0008 Date_of_death = Jun2001 Prediction Error = 3.0002 Date_of_death = May2001 Prediction Error = 1.0002 Date_of_death = Apr2001 Prediction Error = 1 Date_of_death = Mar2001 Prediction Error = -52E-6 Date_of_death = Feb2001 Prediction Error = .00086 Date_of_death = Jan2001 Prediction Error = 3 Date_of_death = Sep2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Aug2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Aug2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Jul2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Jul2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Jun2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Jun2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = May2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = May2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Apr2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Apr2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Mar2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Mar2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Feb2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Feb2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Jan2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Jan2019 2*STD = 2.6292 -2*STD = -2.629 Date_of_death = Dec2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Dec2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Nov2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Nov2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Oct2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Oct2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Sep2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Sep2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Aug2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Aug2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Jul2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Jul2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Jun2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Jun2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = May2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = May2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Apr2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Apr2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Mar2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Mar2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Feb2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Feb2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Jan2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Jan2018 2*STD = 2.6323 -2*STD = -2.632 Date_of_death = Dec2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Dec2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Nov2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Nov2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Oct2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Oct2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Sep2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Sep2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Aug2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Aug2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Jul2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Jul2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Jun2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Jun2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = May2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = May2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Apr2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Apr2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Mar2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Mar2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Feb2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Feb2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Jan2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Jan2017 2*STD = 2.6359 -2*STD = -2.636 Date_of_death = Dec2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Dec2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Nov2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Nov2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Oct2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Oct2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Sep2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Sep2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Aug2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Aug2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Jul2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Jul2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Jun2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Jun2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = May2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = May2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Apr2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Apr2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Mar2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Mar2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Feb2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Feb2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Jan2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Jan2016 2*STD = 2.64 -2*STD = -2.64 Date_of_death = Dec2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Dec2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Nov2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Nov2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Oct2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Oct2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Sep2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Sep2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Aug2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Aug2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Jul2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Jul2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Jun2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Jun2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = May2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = May2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Apr2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Apr2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Mar2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Mar2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Feb2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Feb2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Jan2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Jan2015 2*STD = 2.6446 -2*STD = -2.645 Date_of_death = Dec2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Dec2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Nov2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Nov2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Oct2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Oct2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Sep2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Sep2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Aug2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Aug2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Jul2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Jul2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Jun2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Jun2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = May2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = May2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Apr2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Apr2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Mar2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Mar2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Feb2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Feb2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Jan2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Jan2014 2*STD = 2.65 -2*STD = -2.65 Date_of_death = Dec2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Dec2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Nov2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Nov2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Oct2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Oct2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Sep2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Sep2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Aug2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Aug2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Jul2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Jul2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Jun2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Jun2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = May2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = May2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Apr2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Apr2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Mar2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Mar2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Feb2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Feb2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Jan2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Jan2013 2*STD = 2.6563 -2*STD = -2.656 Date_of_death = Dec2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Dec2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Nov2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Nov2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Oct2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Oct2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Sep2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Sep2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Aug2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Aug2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Jul2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Jul2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Jun2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Jun2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = May2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = May2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Apr2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Apr2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Mar2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Mar2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Feb2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Feb2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Jan2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Jan2012 2*STD = 2.6636 -2*STD = -2.664 Date_of_death = Dec2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Dec2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Nov2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Nov2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Oct2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Oct2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Sep2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Sep2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Aug2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Aug2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Jul2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Jul2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Jun2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Jun2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = May2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = May2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Apr2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Apr2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Mar2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Mar2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Feb2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Feb2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Jan2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Jan2011 2*STD = 2.6724 -2*STD = -2.672 Date_of_death = Dec2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Dec2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Nov2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Nov2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Oct2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Oct2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Sep2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Sep2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Aug2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Aug2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Jul2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Jul2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Jun2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Jun2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = May2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = May2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Apr2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Apr2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Mar2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Mar2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Feb2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Feb2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Jan2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Jan2010 2*STD = 2.683 -2*STD = -2.683 Date_of_death = Dec2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Dec2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Nov2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Nov2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Oct2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Oct2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Sep2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Sep2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Aug2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Aug2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Jul2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Jul2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Jun2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Jun2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = May2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = May2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Apr2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Apr2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Mar2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Mar2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Feb2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Feb2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Jan2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Jan2009 2*STD = 2.6959 -2*STD = -2.696 Date_of_death = Dec2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Dec2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Nov2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Nov2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Oct2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Oct2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Sep2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Sep2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Aug2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Aug2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Jul2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Jul2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Jun2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Jun2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = May2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = May2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Apr2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Apr2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Mar2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Mar2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Feb2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Feb2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Jan2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Jan2008 2*STD = 2.7122 -2*STD = -2.712 Date_of_death = Dec2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Dec2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Nov2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Nov2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Oct2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Oct2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Sep2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Sep2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Aug2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Aug2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Jul2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Jul2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Jun2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Jun2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = May2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = May2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Apr2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Apr2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Mar2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Mar2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Feb2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Feb2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Jan2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Jan2007 2*STD = 2.733 -2*STD = -2.733 Date_of_death = Dec2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Dec2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Nov2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Nov2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Oct2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Oct2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Sep2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Sep2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Aug2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Aug2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Jul2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Jul2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Jun2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Jun2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = May2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = May2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Apr2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Apr2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Mar2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Mar2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Feb2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Feb2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Jan2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Jan2006 2*STD = 2.7608 -2*STD = -2.761 Date_of_death = Dec2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Dec2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Nov2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Nov2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Oct2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Oct2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Sep2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Sep2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Aug2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Aug2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Jul2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Jul2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Jun2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Jun2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = May2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = May2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Apr2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Apr2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Mar2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Mar2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Feb2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Feb2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Jan2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Jan2005 2*STD = 2.7994 -2*STD = -2.799 Date_of_death = Dec2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Dec2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Nov2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Nov2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Oct2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Oct2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Sep2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Sep2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Aug2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Aug2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Jul2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Jul2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Jun2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Jun2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = May2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = May2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Apr2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Apr2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Mar2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Mar2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Feb2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Feb2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Jan2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Jan2004 2*STD = 2.8565 -2*STD = -2.857 Date_of_death = Dec2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Dec2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Nov2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Nov2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Oct2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Oct2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Sep2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Sep2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Aug2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Aug2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Jul2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Jul2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Jun2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Jun2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = May2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = May2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Apr2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Apr2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Mar2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Mar2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Feb2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Feb2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Jan2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Jan2003 2*STD = 2.9496 -2*STD = -2.95 Date_of_death = Dec2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Dec2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Nov2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Nov2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Oct2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Oct2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Sep2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Sep2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Aug2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Aug2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Jul2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Jul2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Jun2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Jun2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = May2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = May2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Apr2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Apr2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Mar2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Mar2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Feb2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Feb2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Jan2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Jan2002 2*STD = 3.1278 -2*STD = -3.128 Date_of_death = Dec2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Dec2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Nov2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Nov2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Oct2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Oct2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Sep2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Sep2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Aug2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Aug2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Jul2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Jul2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Jun2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Jun2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = May2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = May2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Apr2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Apr2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Mar2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Mar2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Feb2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Feb2001 2*STD = 3.6109 -2*STD = -3.611 Date_of_death = Jan2001 2*STD = 3.6109 -2*STD = -3.611 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
238 OCT2019 2.102668 1.31458 -0.473869 4.679205
239 NOV2019 2.360532 1.31459 -0.216021 4.937085
240 DEC2019 2.556224 1.31459 -0.020326 5.132774
241 JAN2020 2.598955 1.31319 0.025145 5.172764
242 FEB2020 2.011785 1.31319 -0.562021 4.585591
243 MAR2020 2.672603 1.31319 0.098797 5.246409
244 APR2020 2.019861 1.31319 -0.553946 4.593667
245 MAY2020 2.297034 1.31319 -0.276773 4.870840
246 JUN2020 2.075046 1.31319 -0.498760 4.648853
247 JUL2020 2.261435 1.31319 -0.312371 4.835242
248 AUG2020 2.433314 1.31319 -0.140493 5.007120
249 SEP2020 1.988766 1.31320 -0.585054 4.562587

Forecasts Only Plot

Date_of_death = Sep2020 Forecast = 1.9888 Date_of_death = Aug2020 Forecast = 2.4333 Date_of_death = Aug2020 Forecast = 2.4333 Date_of_death = Jul2020 Forecast = 2.2614 Date_of_death = Jul2020 Forecast = 2.2614 Date_of_death = Jun2020 Forecast = 2.0750 Date_of_death = Jun2020 Forecast = 2.0750 Date_of_death = May2020 Forecast = 2.2970 Date_of_death = May2020 Forecast = 2.2970 Date_of_death = Apr2020 Forecast = 2.0199 Date_of_death = Apr2020 Forecast = 2.0199 Date_of_death = Mar2020 Forecast = 2.6726 Date_of_death = Mar2020 Forecast = 2.6726 Date_of_death = Feb2020 Forecast = 2.0118 Date_of_death = Feb2020 Forecast = 2.0118 Date_of_death = Jan2020 Forecast = 2.5990 Date_of_death = Jan2020 Forecast = 2.5990 Date_of_death = Dec2019 Forecast = 2.5562 Date_of_death = Dec2019 Forecast = 2.5562 Date_of_death = Nov2019 Forecast = 2.3605 Date_of_death = Nov2019 Forecast = 2.3605 Date_of_death = Oct2019 Forecast = 2.1027 Date_of_death = Sep2020 Upper 95% = 4.5626 Lower 95% = -0.5851 Date_of_death = Aug2020 Upper 95% = 5.0071 Lower 95% = -0.1405 Date_of_death = Aug2020 Upper 95% = 5.0071 Lower 95% = -0.1405 Date_of_death = Jul2020 Upper 95% = 4.8352 Lower 95% = -0.3124 Date_of_death = Jul2020 Upper 95% = 4.8352 Lower 95% = -0.3124 Date_of_death = Jun2020 Upper 95% = 4.6489 Lower 95% = -0.4988 Date_of_death = Jun2020 Upper 95% = 4.6489 Lower 95% = -0.4988 Date_of_death = May2020 Upper 95% = 4.8708 Lower 95% = -0.2768 Date_of_death = May2020 Upper 95% = 4.8708 Lower 95% = -0.2768 Date_of_death = Apr2020 Upper 95% = 4.5937 Lower 95% = -0.5539 Date_of_death = Apr2020 Upper 95% = 4.5937 Lower 95% = -0.5539 Date_of_death = Mar2020 Upper 95% = 5.2464 Lower 95% = 0.0988 Date_of_death = Mar2020 Upper 95% = 5.2464 Lower 95% = 0.0988 Date_of_death = Feb2020 Upper 95% = 4.5856 Lower 95% = -0.5620 Date_of_death = Feb2020 Upper 95% = 4.5856 Lower 95% = -0.5620 Date_of_death = Jan2020 Upper 95% = 5.1728 Lower 95% = 0.0251 Date_of_death = Jan2020 Upper 95% = 5.1728 Lower 95% = 0.0251 Date_of_death = Dec2019 Upper 95% = 5.1328 Lower 95% = -0.0203 Date_of_death = Dec2019 Upper 95% = 5.1328 Lower 95% = -0.0203 Date_of_death = Nov2019 Upper 95% = 4.9371 Lower 95% = -0.2160 Date_of_death = Nov2019 Upper 95% = 4.9371 Lower 95% = -0.2160 Date_of_death = Oct2019 Upper 95% = 4.6792 Lower 95% = -0.4739
Forecast Only Plot

Forecasts Plot

X = 21793 Date_of_death = Sep2020 Forecast = 1.9888 Date_of_death = Aug2020 Forecast = 2.4333 Date_of_death = Aug2020 Forecast = 2.4333 Date_of_death = Jul2020 Forecast = 2.2614 Date_of_death = Jul2020 Forecast = 2.2614 Date_of_death = Jun2020 Forecast = 2.0750 Date_of_death = Jun2020 Forecast = 2.0750 Date_of_death = May2020 Forecast = 2.2970 Date_of_death = May2020 Forecast = 2.2970 Date_of_death = Apr2020 Forecast = 2.0199 Date_of_death = Apr2020 Forecast = 2.0199 Date_of_death = Mar2020 Forecast = 2.6726 Date_of_death = Mar2020 Forecast = 2.6726 Date_of_death = Feb2020 Forecast = 2.0118 Date_of_death = Feb2020 Forecast = 2.0118 Date_of_death = Jan2020 Forecast = 2.5990 Date_of_death = Jan2020 Forecast = 2.5990 Date_of_death = Dec2019 Forecast = 2.5562 Date_of_death = Dec2019 Forecast = 2.5562 Date_of_death = Nov2019 Forecast = 2.3605 Date_of_death = Nov2019 Forecast = 2.3605 Date_of_death = Oct2019 Forecast = 2.1027 Date_of_death = Oct2019 Forecast = 2.1027 Date_of_death = Sep2019 Forecast = 1.9881 Date_of_death = Sep2019 Forecast = 1.9881 Date_of_death = Aug2019 Forecast = 2.3988 Date_of_death = Aug2019 Forecast = 2.3988 Date_of_death = Jul2019 Forecast = 2.3404 Date_of_death = Jul2019 Forecast = 2.3404 Date_of_death = Jun2019 Forecast = 2.1358 Date_of_death = Jun2019 Forecast = 2.1358 Date_of_death = May2019 Forecast = 2.2503 Date_of_death = May2019 Forecast = 2.2503 Date_of_death = Apr2019 Forecast = 2.0851 Date_of_death = Apr2019 Forecast = 2.0851 Date_of_death = Mar2019 Forecast = 2.5882 Date_of_death = Mar2019 Forecast = 2.5882 Date_of_death = Feb2019 Forecast = 2.0789 Date_of_death = Feb2019 Forecast = 2.0789 Date_of_death = Jan2019 Forecast = 2.5101 Date_of_death = Jan2019 Forecast = 2.5101 Date_of_death = Dec2018 Forecast = 2.4700 Date_of_death = Dec2018 Forecast = 2.4700 Date_of_death = Nov2018 Forecast = 2.4522 Date_of_death = Nov2018 Forecast = 2.4522 Date_of_death = Oct2018 Forecast = 2.1042 Date_of_death = Oct2018 Forecast = 2.1042 Date_of_death = Sep2018 Forecast = 1.9893 Date_of_death = Sep2018 Forecast = 1.9893 Date_of_death = Aug2018 Forecast = 2.4191 Date_of_death = Aug2018 Forecast = 2.4191 Date_of_death = Jul2018 Forecast = 2.2926 Date_of_death = Jul2018 Forecast = 2.2926 Date_of_death = Jun2018 Forecast = 2.1494 Date_of_death = Jun2018 Forecast = 2.1494 Date_of_death = May2018 Forecast = 2.1977 Date_of_death = May2018 Forecast = 2.1977 Date_of_death = Apr2018 Forecast = 2.0982 Date_of_death = Apr2018 Forecast = 2.0982 Date_of_death = Mar2018 Forecast = 2.6843 Date_of_death = Mar2018 Forecast = 2.6843 Date_of_death = Feb2018 Forecast = 2.1472 Date_of_death = Feb2018 Forecast = 2.1472 Date_of_death = Jan2018 Forecast = 2.4176 Date_of_death = Jan2018 Forecast = 2.4176 Date_of_death = Dec2017 Forecast = 2.3689 Date_of_death = Dec2017 Forecast = 2.3689 Date_of_death = Nov2017 Forecast = 2.3544 Date_of_death = Nov2017 Forecast = 2.3544 Date_of_death = Oct2017 Forecast = 2.1826 Date_of_death = Oct2017 Forecast = 2.1826 Date_of_death = Sep2017 Forecast = 2.0491 Date_of_death = Sep2017 Forecast = 2.0491 Date_of_death = Aug2017 Forecast = 2.3129 Date_of_death = Aug2017 Forecast = 2.3129 Date_of_death = Jul2017 Forecast = 2.3167 Date_of_death = Jul2017 Forecast = 2.3167 Date_of_death = Jun2017 Forecast = 2.0281 Date_of_death = Jun2017 Forecast = 2.0281 Date_of_death = May2017 Forecast = 2.2828 Date_of_death = May2017 Forecast = 2.2828 Date_of_death = Apr2017 Forecast = 2.1599 Date_of_death = Apr2017 Forecast = 2.1599 Date_of_death = Mar2017 Forecast = 2.7208 Date_of_death = Mar2017 Forecast = 2.7208 Date_of_death = Feb2017 Forecast = 2.1598 Date_of_death = Feb2017 Forecast = 2.1598 Date_of_death = Jan2017 Forecast = 2.5170 Date_of_death = Jan2017 Forecast = 2.5170 Date_of_death = Dec2016 Forecast = 2.2566 Date_of_death = Dec2016 Forecast = 2.2566 Date_of_death = Nov2016 Forecast = 2.3808 Date_of_death = Nov2016 Forecast = 2.3808 Date_of_death = Oct2016 Forecast = 2.2604 Date_of_death = Oct2016 Forecast = 2.2604 Date_of_death = Sep2016 Forecast = 1.9155 Date_of_death = Sep2016 Forecast = 1.9155 Date_of_death = Aug2016 Forecast = 2.3405 Date_of_death = Aug2016 Forecast = 2.3405 Date_of_death = Jul2016 Forecast = 2.3451 Date_of_death = Jul2016 Forecast = 2.3451 Date_of_death = Jun2016 Forecast = 2.0948 Date_of_death = Jun2016 Forecast = 2.0948 Date_of_death = May2016 Forecast = 2.2955 Date_of_death = May2016 Forecast = 2.2955 Date_of_death = Apr2016 Forecast = 2.0286 Date_of_death = Apr2016 Forecast = 2.0286 Date_of_death = Mar2016 Forecast = 2.6372 Date_of_death = Mar2016 Forecast = 2.6372 Date_of_death = Feb2016 Forecast = 2.0302 Date_of_death = Feb2016 Forecast = 2.0302 Date_of_death = Jan2016 Forecast = 2.5644 Date_of_death = Jan2016 Forecast = 2.5644 Date_of_death = Dec2015 Forecast = 2.1248 Date_of_death = Dec2015 Forecast = 2.1248 Date_of_death = Nov2015 Forecast = 2.2621 Date_of_death = Nov2015 Forecast = 2.2621 Date_of_death = Oct2015 Forecast = 2.1432 Date_of_death = Oct2015 Forecast = 2.1432 Date_of_death = Sep2015 Forecast = 1.9855 Date_of_death = Sep2015 Forecast = 1.9855 Date_of_death = Aug2015 Forecast = 2.2128 Date_of_death = Aug2015 Forecast = 2.2128 Date_of_death = Jul2015 Forecast = 2.4434 Date_of_death = Jul2015 Forecast = 2.4434 Date_of_death = Jun2015 Forecast = 2.1678 Date_of_death = Jun2015 Forecast = 2.1678 Date_of_death = May2015 Forecast = 2.3920 Date_of_death = May2015 Forecast = 2.3920 Date_of_death = Apr2015 Forecast = 2.0300 Date_of_death = Apr2015 Forecast = 2.0300 Date_of_death = Mar2015 Forecast = 2.6899 Date_of_death = Mar2015 Forecast = 2.6899 Date_of_death = Feb2015 Forecast = 1.9547 Date_of_death = Feb2015 Forecast = 1.9547 Date_of_death = Jan2015 Forecast = 2.4678 Date_of_death = Jan2015 Forecast = 2.4678 Date_of_death = Dec2014 Forecast = 2.1443 Date_of_death = Dec2014 Forecast = 2.1443 Date_of_death = Nov2014 Forecast = 2.3660 Date_of_death = Nov2014 Forecast = 2.3660 Date_of_death = Oct2014 Forecast = 2.2257 Date_of_death = Oct2014 Forecast = 2.2257 Date_of_death = Sep2014 Forecast = 2.0651 Date_of_death = Sep2014 Forecast = 2.0651 Date_of_death = Aug2014 Forecast = 2.1449 Date_of_death = Aug2014 Forecast = 2.1449 Date_of_death = Jul2014 Forecast = 2.4773 Date_of_death = Jul2014 Forecast = 2.4773 Date_of_death = Jun2014 Forecast = 2.0198 Date_of_death = Jun2014 Forecast = 2.0198 Date_of_death = May2014 Forecast = 2.4279 Date_of_death = May2014 Forecast = 2.4279 Date_of_death = Apr2014 Forecast = 1.8732 Date_of_death = Apr2014 Forecast = 1.8732 Date_of_death = Mar2014 Forecast = 2.8304 Date_of_death = Mar2014 Forecast = 2.8304 Date_of_death = Feb2014 Forecast = 1.8731 Date_of_death = Feb2014 Forecast = 1.8731 Date_of_death = Jan2014 Forecast = 2.3513 Date_of_death = Jan2014 Forecast = 2.3513 Date_of_death = Dec2013 Forecast = 1.9905 Date_of_death = Dec2013 Forecast = 1.9905 Date_of_death = Nov2013 Forecast = 2.3970 Date_of_death = Nov2013 Forecast = 2.3970 Date_of_death = Oct2013 Forecast = 2.0732 Date_of_death = Oct2013 Forecast = 2.0732 Date_of_death = Sep2013 Forecast = 2.0766 Date_of_death = Sep2013 Forecast = 2.0766 Date_of_death = Aug2013 Forecast = 2.2368 Date_of_death = Aug2013 Forecast = 2.2368 Date_of_death = Jul2013 Forecast = 2.6012 Date_of_death = Jul2013 Forecast = 2.6012 Date_of_death = Jun2013 Forecast = 1.8493 Date_of_death = Jun2013 Forecast = 1.8493 Date_of_death = May2013 Forecast = 2.3916 Date_of_death = May2013 Forecast = 2.3916 Date_of_death = Apr2013 Forecast = 1.8579 Date_of_death = Apr2013 Forecast = 1.8579 Date_of_death = Mar2013 Forecast = 2.9019 Date_of_death = Mar2013 Forecast = 2.9019 Date_of_death = Feb2013 Forecast = 1.6986 Date_of_death = Feb2013 Forecast = 1.6986 Date_of_death = Jan2013 Forecast = 2.3916 Date_of_death = Jan2013 Forecast = 2.3916 Date_of_death = Dec2012 Forecast = 2.0760 Date_of_death = Dec2012 Forecast = 2.0760 Date_of_death = Nov2012 Forecast = 2.2570 Date_of_death = Nov2012 Forecast = 2.2570 Date_of_death = Oct2012 Forecast = 2.0835 Date_of_death = Oct2012 Forecast = 2.0835 Date_of_death = Sep2012 Forecast = 2.1683 Date_of_death = Sep2012 Forecast = 2.1683 Date_of_death = Aug2012 Forecast = 2.3389 Date_of_death = Aug2012 Forecast = 2.3389 Date_of_death = Jul2012 Forecast = 2.6572 Date_of_death = Jul2012 Forecast = 2.6572 Date_of_death = Jun2012 Forecast = 1.6582 Date_of_death = Jun2012 Forecast = 1.6582 Date_of_death = May2012 Forecast = 2.2545 Date_of_death = May2012 Forecast = 2.2545 Date_of_death = Apr2012 Forecast = 1.6686 Date_of_death = Apr2012 Forecast = 1.6686 Date_of_death = Mar2012 Forecast = 2.9936 Date_of_death = Mar2012 Forecast = 2.9936 Date_of_death = Feb2012 Forecast = 1.6677 Date_of_death = Feb2012 Forecast = 1.6677 Date_of_death = Jan2012 Forecast = 2.2458 Date_of_death = Jan2012 Forecast = 2.2458 Date_of_death = Dec2011 Forecast = 1.8990 Date_of_death = Dec2011 Forecast = 1.8990 Date_of_death = Nov2011 Forecast = 2.1891 Date_of_death = Nov2011 Forecast = 2.1891 Date_of_death = Oct2011 Forecast = 1.8967 Date_of_death = Oct2011 Forecast = 1.8967 Date_of_death = Sep2011 Forecast = 2.1839 Date_of_death = Sep2011 Forecast = 2.1839 Date_of_death = Aug2011 Forecast = 2.1750 Date_of_death = Aug2011 Forecast = 2.1750 Date_of_death = Jul2011 Forecast = 2.8246 Date_of_death = Jul2011 Forecast = 2.8246 Date_of_death = Jun2011 Forecast = 1.7203 Date_of_death = Jun2011 Forecast = 1.7203 Date_of_death = May2011 Forecast = 2.3785 Date_of_death = May2011 Forecast = 2.3785 Date_of_death = Apr2011 Forecast = 1.7263 Date_of_death = Apr2011 Forecast = 1.7263 Date_of_death = Mar2011 Forecast = 2.8953 Date_of_death = Mar2011 Forecast = 2.8953 Date_of_death = Feb2011 Forecast = 1.6423 Date_of_death = Feb2011 Forecast = 1.6423 Date_of_death = Jan2011 Forecast = 2.2751 Date_of_death = Jan2011 Forecast = 2.2751 Date_of_death = Dec2010 Forecast = 1.8897 Date_of_death = Dec2010 Forecast = 1.8897 Date_of_death = Nov2010 Forecast = 2.2144 Date_of_death = Nov2010 Forecast = 2.2144 Date_of_death = Oct2010 Forecast = 1.8853 Date_of_death = Oct2010 Forecast = 1.8853 Date_of_death = Sep2010 Forecast = 1.9986 Date_of_death = Sep2010 Forecast = 1.9986 Date_of_death = Aug2010 Forecast = 2.2981 Date_of_death = Aug2010 Forecast = 2.2981 Date_of_death = Jul2010 Forecast = 3.0115 Date_of_death = Jul2010 Forecast = 3.0115 Date_of_death = Jun2010 Forecast = 1.7884 Date_of_death = Jun2010 Forecast = 1.7884 Date_of_death = May2010 Forecast = 2.2052 Date_of_death = May2010 Forecast = 2.2052 Date_of_death = Apr2010 Forecast = 1.5993 Date_of_death = Apr2010 Forecast = 1.5993 Date_of_death = Mar2010 Forecast = 3.0977 Date_of_death = Mar2010 Forecast = 3.0977 Date_of_death = Feb2010 Forecast = 1.7047 Date_of_death = Feb2010 Forecast = 1.7047 Date_of_death = Jan2010 Forecast = 2.1981 Date_of_death = Jan2010 Forecast = 2.1981 Date_of_death = Dec2009 Forecast = 1.9937 Date_of_death = Dec2009 Forecast = 1.9937 Date_of_death = Nov2009 Forecast = 2.2378 Date_of_death = Nov2009 Forecast = 2.2378 Date_of_death = Oct2009 Forecast = 1.9921 Date_of_death = Oct2009 Forecast = 1.9921 Date_of_death = Sep2009 Forecast = 2.1098 Date_of_death = Sep2009 Forecast = 2.1098 Date_of_death = Aug2009 Forecast = 2.4419 Date_of_death = Aug2009 Forecast = 2.4419 Date_of_death = Jul2009 Forecast = 2.8933 Date_of_death = Jul2009 Forecast = 2.8933 Date_of_death = Jun2009 Forecast = 1.7706 Date_of_death = Jun2009 Forecast = 1.7706 Date_of_death = May2009 Forecast = 2.2332 Date_of_death = May2009 Forecast = 2.2332 Date_of_death = Apr2009 Forecast = 1.5484 Date_of_death = Apr2009 Forecast = 1.5484 Date_of_death = Mar2009 Forecast = 2.9931 Date_of_death = Mar2009 Forecast = 2.9931 Date_of_death = Feb2009 Forecast = 1.4435 Date_of_death = Feb2009 Forecast = 1.4435 Date_of_death = Jan2009 Forecast = 2.3392 Date_of_death = Jan2009 Forecast = 2.3392 Date_of_death = Dec2008 Forecast = 2.1190 Date_of_death = Dec2008 Forecast = 2.1190 Date_of_death = Nov2008 Forecast = 2.0065 Date_of_death = Nov2008 Forecast = 2.0065 Date_of_death = Oct2008 Forecast = 2.1208 Date_of_death = Oct2008 Forecast = 2.1208 Date_of_death = Sep2008 Forecast = 2.2477 Date_of_death = Sep2008 Forecast = 2.2477 Date_of_death = Aug2008 Forecast = 2.4988 Date_of_death = Aug2008 Forecast = 2.4988 Date_of_death = Jul2008 Forecast = 2.7500 Date_of_death = Jul2008 Forecast = 2.7500 Date_of_death = Jun2008 Forecast = 1.7424 Date_of_death = Jun2008 Forecast = 1.7424 Date_of_death = May2008 Forecast = 2.0064 Date_of_death = May2008 Forecast = 2.0064 Date_of_death = Apr2008 Forecast = 1.6243 Date_of_death = Apr2008 Forecast = 1.6243 Date_of_death = Mar2008 Forecast = 3.2544 Date_of_death = Mar2008 Forecast = 3.2544 Date_of_death = Feb2008 Forecast = 1.4943 Date_of_death = Feb2008 Forecast = 1.4943 Date_of_death = Jan2008 Forecast = 2.1221 Date_of_death = Jan2008 Forecast = 2.1221 Date_of_death = Dec2007 Forecast = 2.1432 Date_of_death = Dec2007 Forecast = 2.1432 Date_of_death = Nov2007 Forecast = 1.8587 Date_of_death = Nov2007 Forecast = 1.8587 Date_of_death = Oct2007 Forecast = 2.2841 Date_of_death = Oct2007 Forecast = 2.2841 Date_of_death = Sep2007 Forecast = 2.4273 Date_of_death = Sep2007 Forecast = 2.4273 Date_of_death = Aug2007 Forecast = 2.7185 Date_of_death = Aug2007 Forecast = 2.7185 Date_of_death = Jul2007 Forecast = 3.0045 Date_of_death = Jul2007 Forecast = 3.0045 Date_of_death = Jun2007 Forecast = 1.7061 Date_of_death = Jun2007 Forecast = 1.7061 Date_of_death = May2007 Forecast = 1.7144 Date_of_death = May2007 Forecast = 1.7144 Date_of_death = Apr2007 Forecast = 1.7152 Date_of_death = Apr2007 Forecast = 1.7152 Date_of_death = Mar2007 Forecast = 3.1434 Date_of_death = Mar2007 Forecast = 3.1434 Date_of_death = Feb2007 Forecast = 1.5718 Date_of_death = Feb2007 Forecast = 1.5718 Date_of_death = Jan2007 Forecast = 2.2857 Date_of_death = Jan2007 Forecast = 2.2857 Date_of_death = Dec2006 Forecast = 2.1682 Date_of_death = Dec2006 Forecast = 2.1682 Date_of_death = Nov2006 Forecast = 2.0027 Date_of_death = Nov2006 Forecast = 2.0027 Date_of_death = Oct2006 Forecast = 2.4990 Date_of_death = Oct2006 Forecast = 2.4990 Date_of_death = Sep2006 Forecast = 2.6653 Date_of_death = Sep2006 Forecast = 2.6653 Date_of_death = Aug2006 Forecast = 3.0052 Date_of_death = Aug2006 Forecast = 3.0052 Date_of_death = Jul2006 Forecast = 2.8338 Date_of_death = Jul2006 Forecast = 2.8338 Date_of_death = Jun2006 Forecast = 1.6622 Date_of_death = Jun2006 Forecast = 1.6622 Date_of_death = May2006 Forecast = 1.8356 Date_of_death = May2006 Forecast = 1.8356 Date_of_death = Apr2006 Forecast = 1.6679 Date_of_death = Apr2006 Forecast = 1.6679 Date_of_death = Mar2006 Forecast = 2.9981 Date_of_death = Mar2006 Forecast = 2.9981 Date_of_death = Feb2006 Forecast = 1.6686 Date_of_death = Feb2006 Forecast = 1.6686 Date_of_death = Jan2006 Forecast = 1.9939 Date_of_death = Jan2006 Forecast = 1.9939 Date_of_death = Dec2005 Forecast = 2.4063 Date_of_death = Dec2005 Forecast = 2.4063 Date_of_death = Nov2005 Forecast = 1.9997 Date_of_death = Nov2005 Forecast = 1.9997 Date_of_death = Oct2005 Forecast = 2.8005 Date_of_death = Oct2005 Forecast = 2.8005 Date_of_death = Sep2005 Forecast = 2.7952 Date_of_death = Sep2005 Forecast = 2.7952 Date_of_death = Aug2005 Forecast = 2.8044 Date_of_death = Aug2005 Forecast = 2.8044 Date_of_death = Jul2005 Forecast = 2.5992 Date_of_death = Jul2005 Forecast = 2.5992 Date_of_death = Jun2005 Forecast = 1.7967 Date_of_death = Jun2005 Forecast = 1.7967 Date_of_death = May2005 Forecast = 1.8018 Date_of_death = May2005 Forecast = 1.8018 Date_of_death = Apr2005 Forecast = 1.1968 Date_of_death = Apr2005 Forecast = 1.1968 Date_of_death = Mar2005 Forecast = 2.7969 Date_of_death = Mar2005 Forecast = 2.7969 Date_of_death = Feb2005 Forecast = 1.8083 Date_of_death = Feb2005 Forecast = 1.8083 Date_of_death = Jan2005 Forecast = 2.1924 Date_of_death = Jan2005 Forecast = 2.1924 Date_of_death = Dec2004 Forecast = 2.0028 Date_of_death = Dec2004 Forecast = 2.0028 Date_of_death = Nov2004 Forecast = 2.2511 Date_of_death = Nov2004 Forecast = 2.2511 Date_of_death = Oct2004 Forecast = 3.2523 Date_of_death = Oct2004 Forecast = 3.2523 Date_of_death = Sep2004 Forecast = 3.2476 Date_of_death = Sep2004 Forecast = 3.2476 Date_of_death = Aug2004 Forecast = 2.5025 Date_of_death = Aug2004 Forecast = 2.5025 Date_of_death = Jul2004 Forecast = 3.0030 Date_of_death = Jul2004 Forecast = 3.0030 Date_of_death = Jun2004 Forecast = 1.9962 Date_of_death = Jun2004 Forecast = 1.9962 Date_of_death = May2004 Forecast = 1.2502 Date_of_death = May2004 Forecast = 1.2502 Date_of_death = Apr2004 Forecast = 1.2509 Date_of_death = Apr2004 Forecast = 1.2509 Date_of_death = Mar2004 Forecast = 2.7446 Date_of_death = Mar2004 Forecast = 2.7446 Date_of_death = Feb2004 Forecast = 1.2541 Date_of_death = Feb2004 Forecast = 1.2541 Date_of_death = Jan2004 Forecast = 2.4984 Date_of_death = Jan2004 Forecast = 2.4984 Date_of_death = Dec2003 Forecast = 2.3366 Date_of_death = Dec2003 Forecast = 2.3366 Date_of_death = Nov2003 Forecast = 2.3318 Date_of_death = Nov2003 Forecast = 2.3318 Date_of_death = Oct2003 Forecast = 2.9987 Date_of_death = Oct2003 Forecast = 2.9987 Date_of_death = Sep2003 Forecast = 2.9977 Date_of_death = Sep2003 Forecast = 2.9977 Date_of_death = Aug2003 Forecast = 1.9986 Date_of_death = Aug2003 Forecast = 1.9986 Date_of_death = Jul2003 Forecast = 2.6686 Date_of_death = Jul2003 Forecast = 2.6686 Date_of_death = Jun2003 Forecast = 1.9988 Date_of_death = Jun2003 Forecast = 1.9988 Date_of_death = May2003 Forecast = 1.3335 Date_of_death = May2003 Forecast = 1.3335 Date_of_death = Apr2003 Forecast = 1.3348 Date_of_death = Apr2003 Forecast = 1.3348 Date_of_death = Mar2003 Forecast = 2.9972 Date_of_death = Mar2003 Forecast = 2.9972 Date_of_death = Feb2003 Forecast = 1.0014 Date_of_death = Feb2003 Forecast = 1.0014 Date_of_death = Jan2003 Forecast = 2.9999 Date_of_death = Jan2003 Forecast = 2.9999 Date_of_death = Dec2002 Forecast = 1.5005 Date_of_death = Dec2002 Forecast = 1.5005 Date_of_death = Nov2002 Forecast = 2.5002 Date_of_death = Nov2002 Forecast = 2.5002 Date_of_death = Oct2002 Forecast = 4.0019 Date_of_death = Oct2002 Forecast = 4.0019 Date_of_death = Sep2002 Forecast = 4.0003 Date_of_death = Sep2002 Forecast = 4.0003 Date_of_death = Aug2002 Forecast = 2.4996 Date_of_death = Aug2002 Forecast = 2.4996 Date_of_death = Jul2002 Forecast = 2.0004 Date_of_death = Jul2002 Forecast = 2.0004 Date_of_death = Jun2002 Forecast = 2.5007 Date_of_death = Jun2002 Forecast = 2.5007 Date_of_death = May2002 Forecast = 1.5000 Date_of_death = May2002 Forecast = 1.5000 Date_of_death = Apr2002 Forecast = 1.5017 Date_of_death = Apr2002 Forecast = 1.5017 Date_of_death = Mar2002 Forecast = 4.0000 Date_of_death = Mar2002 Forecast = 4.0000 Date_of_death = Feb2002 Forecast = 0.9990 Date_of_death = Feb2002 Forecast = 0.9990 Date_of_death = Jan2002 Forecast = 2.5008 Date_of_death = Jan2002 Forecast = 2.5008 Date_of_death = Dec2001 Forecast = 1.0010 Date_of_death = Dec2001 Forecast = 1.0010 Date_of_death = Nov2001 Forecast = 4.0001 Date_of_death = Nov2001 Forecast = 4.0001 Date_of_death = Oct2001 Forecast = 4.0002 Date_of_death = Oct2001 Forecast = 4.0002 Date_of_death = Sep2001 Forecast = 3.9993 Date_of_death = Sep2001 Forecast = 3.9993 Date_of_death = Aug2001 Forecast = 0.9995 Date_of_death = Aug2001 Forecast = 0.9995 Date_of_death = Jul2001 Forecast = 0.9992 Date_of_death = Jul2001 Forecast = 0.9992 Date_of_death = Jun2001 Forecast = 0.9998 Date_of_death = Jun2001 Forecast = 0.9998 Date_of_death = May2001 Forecast = 0.9998 Date_of_death = May2001 Forecast = 0.9998 Date_of_death = Apr2001 Forecast = 1.0000 Date_of_death = Apr2001 Forecast = 1.0000 Date_of_death = Mar2001 Forecast = 4.0001 Date_of_death = Mar2001 Forecast = 4.0001 Date_of_death = Feb2001 Forecast = 0.9991 Date_of_death = Feb2001 Forecast = 0.9991 Date_of_death = Jan2001 Forecast = 1.0000 Date_of_death = Sep2019 incidents = 2.0000 Date_of_death = Aug2019 incidents = 3.0000 Date_of_death = Jul2019 incidents = 1.0000 Date_of_death = Jun2019 incidents = 1.0000 Date_of_death = May2019 incidents = 3.0000 Date_of_death = Apr2019 incidents = 1.0000 Date_of_death = Mar2019 incidents = 4.0000 Date_of_death = Feb2019 incidents = 1.0000 Date_of_death = Jan2019 incidents = 4.0000 Date_of_death = Dec2018 incidents = 4.0000 Date_of_death = Nov2018 incidents = 1.0000 Date_of_death = Oct2018 incidents = 2.0000 Date_of_death = Sep2018 incidents = 2.0000 Date_of_death = Aug2018 incidents = 2.0000 Date_of_death = Jul2018 incidents = 3.0000 Date_of_death = Jun2018 incidents = 2.0000 Date_of_death = May2018 incidents = 3.0000 Date_of_death = Apr2018 incidents = 2.0000 Date_of_death = Mar2018 incidents = 1.0000 Date_of_death = Feb2018 incidents = 1.0000 Date_of_death = Jan2018 incidents = 4.0000 Date_of_death = Dec2017 incidents = 4.0000 Date_of_death = Nov2017 incidents = 4.0000 Date_of_death = Oct2017 incidents = 1.0000 Date_of_death = Sep2017 incidents = 1.0000 Date_of_death = Aug2017 incidents = 4.0000 Date_of_death = Jul2017 incidents = 2.0000 Date_of_death = Jun2017 incidents = 4.0000 Date_of_death = May2017 incidents = 1.0000 Date_of_death = Apr2017 incidents = 1.0000 Date_of_death = Mar2017 incidents = 2.0000 Date_of_death = Feb2017 incidents = 2.0000 Date_of_death = Jan2017 incidents = 1.0000 Date_of_death = Dec2016 incidents = 4.0000 Date_of_death = Nov2016 incidents = 2.0000 Date_of_death = Oct2016 incidents = 1.0000 Date_of_death = Sep2016 incidents = 4.0000 Date_of_death = Aug2016 incidents = 2.0000 Date_of_death = Jul2016 incidents = 2.0000 Date_of_death = Jun2016 incidents = 1.0000 Date_of_death = May2016 incidents = 2.0000 Date_of_death = Apr2016 incidents = 4.0000 Date_of_death = Mar2016 incidents = 4.0000 Date_of_death = Feb2016 incidents = 4.0000 Date_of_death = Jan2016 incidents = 2.0000 Date_of_death = Dec2015 incidents = 4.0000 Date_of_death = Nov2015 incidents = 4.0000 Date_of_death = Oct2015 incidents = 4.0000 Date_of_death = Sep2015 incidents = 1.0000 Date_of_death = Aug2015 incidents = 4.0000 Date_of_death = Jul2015 incidents = 1.0000 Date_of_death = Jun2015 incidents = 1.0000 Date_of_death = May2015 incidents = 1.0000 Date_of_death = Apr2015 incidents = 2.0000 Date_of_death = Mar2015 incidents = 2.0000 Date_of_death = Feb2015 incidents = 3.0000 Date_of_death = Jan2015 incidents = 4.0000 Date_of_death = Dec2014 incidents = 2.0000 Date_of_death = Nov2014 incidents = 1.0000 Date_of_death = Oct2014 incidents = 1.0000 Date_of_death = Sep2014 incidents = 1.0000 Date_of_death = Aug2014 incidents = 3.0000 Date_of_death = Jul2014 incidents = 2.0000 Date_of_death = Jun2014 incidents = 4.0000 Date_of_death = May2014 incidents = 2.0000 Date_of_death = Apr2014 incidents = 4.0000 Date_of_death = Mar2014 incidents = 1.0000 Date_of_death = Feb2014 incidents = 3.0000 Date_of_death = Jan2014 incidents = 4.0000 Date_of_death = Dec2013 incidents = 4.0000 Date_of_death = Nov2013 incidents = 2.0000 Date_of_death = Oct2013 incidents = 4.0000 Date_of_death = Sep2013 incidents = 2.0000 Date_of_death = Aug2013 incidents = 1.0000 Date_of_death = Jul2013 incidents = 1.0000 Date_of_death = Jun2013 incidents = 4.0000 Date_of_death = May2013 incidents = 3.0000 Date_of_death = Apr2013 incidents = 2.0000 Date_of_death = Mar2013 incidents = 2.0000 Date_of_death = Feb2013 incidents = 4.0000 Date_of_death = Jan2013 incidents = 2.0000 Date_of_death = Dec2012 incidents = 1.0000 Date_of_death = Nov2012 incidents = 4.0000 Date_of_death = Oct2012 incidents = 2.0000 Date_of_death = Sep2012 incidents = 1.0000 Date_of_death = Aug2012 incidents = 1.0000 Date_of_death = Jul2012 incidents = 2.0000 Date_of_death = Jun2012 incidents = 4.0000 Date_of_death = May2012 incidents = 4.0000 Date_of_death = Apr2012 incidents = 4.0000 Date_of_death = Mar2012 incidents = 2.0000 Date_of_death = Feb2012 incidents = 2.0000 Date_of_death = Jan2012 incidents = 4.0000 Date_of_death = Dec2011 incidents = 4.0000 Date_of_death = Nov2011 incidents = 3.0000 Date_of_death = Oct2011 incidents = 4.0000 Date_of_death = Sep2011 incidents = 2.0000 Date_of_death = Aug2011 incidents = 4.0000 Date_of_death = Jul2011 incidents = 1.0000 Date_of_death = Jun2011 incidents = 1.0000 Date_of_death = May2011 incidents = 1.0000 Date_of_death = Apr2011 incidents = 1.0000 Date_of_death = Mar2011 incidents = 4.0000 Date_of_death = Feb2011 incidents = 2.0000 Date_of_death = Jan2011 incidents = 2.0000 Date_of_death = Dec2010 incidents = 2.0000 Date_of_death = Nov2010 incidents = 2.0000 Date_of_death = Oct2010 incidents = 2.0000 Date_of_death = Sep2010 incidents = 4.0000 Date_of_death = Aug2010 incidents = 1.0000 Date_of_death = Jul2010 incidents = 1.0000 Date_of_death = Jun2010 incidents = 1.0000 Date_of_death = May2010 incidents = 4.0000 Date_of_death = Apr2010 incidents = 3.0000 Date_of_death = Mar2010 incidents = 1.0000 Date_of_death = Feb2010 incidents = 1.0000 Date_of_death = Jan2010 incidents = 3.0000 Date_of_death = Dec2009 incidents = 1.0000 Date_of_death = Nov2009 incidents = 2.0000 Date_of_death = Oct2009 incidents = 1.0000 Date_of_death = Sep2009 incidents = 1.0000 Date_of_death = Aug2009 incidents = 1.0000 Date_of_death = Jul2009 incidents = 4.0000 Date_of_death = Jun2009 incidents = 2.0000 Date_of_death = May2009 incidents = 2.0000 Date_of_death = Apr2009 incidents = 2.0000 Date_of_death = Mar2009 incidents = 4.0000 Date_of_death = Feb2009 incidents = 4.0000 Date_of_death = Jan2009 incidents = 1.0000 Date_of_death = Dec2008 incidents = 1.0000 Date_of_death = Nov2008 incidents = 4.0000 Date_of_death = Oct2008 incidents = 1.0000 Date_of_death = Sep2008 incidents = 1.0000 Date_of_death = Aug2008 incidents = 2.0000 Date_of_death = Jul2008 incidents = 4.0000 Date_of_death = Jun2008 incidents = 2.0000 Date_of_death = May2008 incidents = 4.0000 Date_of_death = Apr2008 incidents = 1.0000 Date_of_death = Mar2008 incidents = 1.0000 Date_of_death = Feb2008 incidents = 1.0000 Date_of_death = Jan2008 incidents = 4.0000 Date_of_death = Dec2007 incidents = 2.0000 Date_of_death = Nov2007 incidents = 3.0000 Date_of_death = Oct2007 incidents = 1.0000 Date_of_death = Sep2007 incidents = 1.0000 Date_of_death = Aug2007 incidents = 1.0000 Date_of_death = Jul2007 incidents = 1.0000 Date_of_death = Jun2007 incidents = 2.0000 Date_of_death = May2007 incidents = 4.0000 Date_of_death = Apr2007 incidents = 1.0000 Date_of_death = Mar2007 incidents = 4.0000 Date_of_death = Feb2007 incidents = 1.0000 Date_of_death = Jan2007 incidents = 1.0000 Date_of_death = Dec2006 incidents = 2.0000 Date_of_death = Nov2006 incidents = 1.0000 Date_of_death = Oct2006 incidents = 1.0000 Date_of_death = Sep2006 incidents = 1.0000 Date_of_death = Aug2006 incidents = 1.0000 Date_of_death = Jul2006 incidents = 4.0000 Date_of_death = Jun2006 incidents = 2.0000 Date_of_death = May2006 incidents = 1.0000 Date_of_death = Apr2006 incidents = 2.0000 Date_of_death = Mar2006 incidents = 4.0000 Date_of_death = Feb2006 incidents = 1.0000 Date_of_death = Jan2006 incidents = 4.0000 Date_of_death = Dec2005 incidents = 1.0000 Date_of_death = Nov2005 incidents = 2.0000 Date_of_death = Oct2005 incidents = 1.0000 Date_of_death = Sep2005 incidents = 2.0000 Date_of_death = Aug2005 incidents = 4.0000 Date_of_death = Jul2005 incidents = 4.0000 Date_of_death = Jun2005 incidents = 1.0000 Date_of_death = May2005 incidents = 2.0000 Date_of_death = Apr2005 incidents = 4.0000 Date_of_death = Mar2005 incidents = 4.0000 Date_of_death = Feb2005 incidents = 1.0000 Date_of_death = Jan2005 incidents = 1.0000 Date_of_death = Dec2004 incidents = 4.0000 Date_of_death = Nov2004 incidents = 1.0000 Date_of_death = Oct2004 incidents = 1.0000 Date_of_death = Sep2004 incidents = 1.0000 Date_of_death = Aug2004 incidents = 4.0000 Date_of_death = Jul2004 incidents = 1.0000 Date_of_death = Jun2004 incidents = 1.0000 Date_of_death = May2004 incidents = 4.0000 Date_of_death = Apr2004 incidents = 1.0000 Date_of_death = Mar2004 incidents = 3.0000 Date_of_death = Feb2004 incidents = 4.0000 Date_of_death = Jan2004 incidents = 1.0000 Date_of_death = Dec2003 incidents = 1.0000 Date_of_death = Nov2003 incidents = 2.0000 Date_of_death = Oct2003 incidents = 4.0000 Date_of_death = Sep2003 incidents = 4.0000 Date_of_death = Aug2003 incidents = 4.0000 Date_of_death = Jul2003 incidents = 4.0000 Date_of_death = Jun2003 incidents = 2.0000 Date_of_death = May2003 incidents = 1.0000 Date_of_death = Apr2003 incidents = 1.0000 Date_of_death = Mar2003 incidents = 2.0000 Date_of_death = Feb2003 incidents = 2.0000 Date_of_death = Jan2003 incidents = 1.0000 Date_of_death = Dec2002 incidents = 4.0000 Date_of_death = Nov2002 incidents = 2.0000 Date_of_death = Oct2002 incidents = 1.0000 Date_of_death = Sep2002 incidents = 1.0000 Date_of_death = Aug2002 incidents = 1.0000 Date_of_death = Jul2002 incidents = 4.0000 Date_of_death = Jun2002 incidents = 1.0000 Date_of_death = May2002 incidents = 1.0000 Date_of_death = Apr2002 incidents = 1.0000 Date_of_death = Mar2002 incidents = 1.0000 Date_of_death = Feb2002 incidents = 1.0000 Date_of_death = Jan2002 incidents = 4.0000 Date_of_death = Dec2001 incidents = 2.0000 Date_of_death = Nov2001 incidents = 1.0000 Date_of_death = Oct2001 incidents = 4.0000 Date_of_death = Sep2001 incidents = 4.0000 Date_of_death = Aug2001 incidents = 4.0000 Date_of_death = Jul2001 incidents = 3.0000 Date_of_death = Jun2001 incidents = 4.0000 Date_of_death = May2001 incidents = 2.0000 Date_of_death = Apr2001 incidents = 2.0000 Date_of_death = Mar2001 incidents = 4.0000 Date_of_death = Feb2001 incidents = 1.0000 Date_of_death = Jan2001 incidents = 4.0000 Date_of_death = Sep2020 Upper 95% = 4.5626 Lower 95% = -0.5851 Date_of_death = Aug2020 Upper 95% = 5.0071 Lower 95% = -0.1405 Date_of_death = Aug2020 Upper 95% = 5.0071 Lower 95% = -0.1405 Date_of_death = Jul2020 Upper 95% = 4.8352 Lower 95% = -0.3124 Date_of_death = Jul2020 Upper 95% = 4.8352 Lower 95% = -0.3124 Date_of_death = Jun2020 Upper 95% = 4.6489 Lower 95% = -0.4988 Date_of_death = Jun2020 Upper 95% = 4.6489 Lower 95% = -0.4988 Date_of_death = May2020 Upper 95% = 4.8708 Lower 95% = -0.2768 Date_of_death = May2020 Upper 95% = 4.8708 Lower 95% = -0.2768 Date_of_death = Apr2020 Upper 95% = 4.5937 Lower 95% = -0.5539 Date_of_death = Apr2020 Upper 95% = 4.5937 Lower 95% = -0.5539 Date_of_death = Mar2020 Upper 95% = 5.2464 Lower 95% = 0.0988 Date_of_death = Mar2020 Upper 95% = 5.2464 Lower 95% = 0.0988 Date_of_death = Feb2020 Upper 95% = 4.5856 Lower 95% = -0.5620 Date_of_death = Feb2020 Upper 95% = 4.5856 Lower 95% = -0.5620 Date_of_death = Jan2020 Upper 95% = 5.1728 Lower 95% = 0.0251 Date_of_death = Jan2020 Upper 95% = 5.1728 Lower 95% = 0.0251 Date_of_death = Dec2019 Upper 95% = 5.1328 Lower 95% = -0.0203 Date_of_death = Dec2019 Upper 95% = 5.1328 Lower 95% = -0.0203 Date_of_death = Nov2019 Upper 95% = 4.9371 Lower 95% = -0.2160 Date_of_death = Nov2019 Upper 95% = 4.9371 Lower 95% = -0.2160 Date_of_death = Oct2019 Upper 95% = 4.6792 Lower 95% = -0.4739
Forecast Plot

County=Philadelphia

Series Span Summary

Estimation Span

County=Philadelphia

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 APR2019 232 0 1.00000 5.00000 3.32328 1.81475

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 APR2019 232 0 1.00000 5.00000 3.32328 1.81475

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.62329
Level Error Variance 0.98373
Season Error Variance 3.34087

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -462.1
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 232
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 220
AIC (smaller is better) 930.2
BIC (smaller is better) 940.38
AICC (smaller is better) 930.31
HQIC (smaller is better) 934.31
CAIC (smaller is better) 943.38
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 3.12513 0.30501 10.25 <.0001
Level Error Variance 0.00819 0.0068290 1.20 0.2302
Season Error Variance 1.104823E-7 0.00006733 0.00 0.9987

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 220
Mean Squared Error 3.90958
Root Mean Squared Error 1.97727
Mean Absolute Percentage Error 97.13664
Maximum Percent Error 81.43832
R-Square -0.19042
Adjusted R-Square -0.20139
Random Walk R-Square 0.37123
Amemiya's Adjusted R-Square -0.22333

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 27.52 <.0001
Level 1 93.64 <.0001
Season 11 6.80 0.8149

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.826927089 0.3954652

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 1.104823E-7

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 6.5086 Percent = 0.0165 Prediction Error = 6.4445 Percent = 0.0198 Prediction Error = 6.4445 Percent = 0.0198 Prediction Error = 6.3804 Percent = 0.0236 Prediction Error = 6.3804 Percent = 0.0236 Prediction Error = 6.3163 Percent = 0.028 Prediction Error = 6.3163 Percent = 0.028 Prediction Error = 6.2521 Percent = 0.0332 Prediction Error = 6.2521 Percent = 0.0332 Prediction Error = 6.188 Percent = 0.0392 Prediction Error = 6.188 Percent = 0.0392 Prediction Error = 6.1239 Percent = 0.0461 Prediction Error = 6.1239 Percent = 0.0461 Prediction Error = 6.0598 Percent = 0.0541 Prediction Error = 6.0598 Percent = 0.0541 Prediction Error = 5.9956 Percent = 0.0632 Prediction Error = 5.9956 Percent = 0.0632 Prediction Error = 5.9315 Percent = 0.0737 Prediction Error = 5.9315 Percent = 0.0737 Prediction Error = 5.8674 Percent = 0.0858 Prediction Error = 5.8674 Percent = 0.0858 Prediction Error = 5.8033 Percent = 0.0995 Prediction Error = 5.8033 Percent = 0.0995 Prediction Error = 5.7391 Percent = 0.1151 Prediction Error = 5.7391 Percent = 0.1151 Prediction Error = 5.675 Percent = 0.1328 Prediction Error = 5.675 Percent = 0.1328 Prediction Error = 5.6109 Percent = 0.1529 Prediction Error = 5.6109 Percent = 0.1529 Prediction Error = 5.5468 Percent = 0.1757 Prediction Error = 5.5468 Percent = 0.1757 Prediction Error = 5.4826 Percent = 0.2013 Prediction Error = 5.4826 Percent = 0.2013 Prediction Error = 5.4185 Percent = 0.2303 Prediction Error = 5.4185 Percent = 0.2303 Prediction Error = 5.3544 Percent = 0.2628 Prediction Error = 5.3544 Percent = 0.2628 Prediction Error = 5.2903 Percent = 0.2994 Prediction Error = 5.2903 Percent = 0.2994 Prediction Error = 5.2261 Percent = 0.3404 Prediction Error = 5.2261 Percent = 0.3404 Prediction Error = 5.162 Percent = 0.3863 Prediction Error = 5.162 Percent = 0.3863 Prediction Error = 5.0979 Percent = 0.4377 Prediction Error = 5.0979 Percent = 0.4377 Prediction Error = 5.0338 Percent = 0.495 Prediction Error = 5.0338 Percent = 0.495 Prediction Error = 4.9697 Percent = 0.5589 Prediction Error = 4.9697 Percent = 0.5589 Prediction Error = 4.9055 Percent = 0.6301 Prediction Error = 4.9055 Percent = 0.6301 Prediction Error = 4.8414 Percent = 0.7091 Prediction Error = 4.8414 Percent = 0.7091 Prediction Error = 4.7773 Percent = 0.7967 Prediction Error = 4.7773 Percent = 0.7967 Prediction Error = 4.7132 Percent = 0.8938 Prediction Error = 4.7132 Percent = 0.8938 Prediction Error = 4.649 Percent = 1.0011 Prediction Error = 4.649 Percent = 1.0011 Prediction Error = 4.5849 Percent = 1.1194 Prediction Error = 4.5849 Percent = 1.1194 Prediction Error = 4.5208 Percent = 1.2497 Prediction Error = 4.5208 Percent = 1.2497 Prediction Error = 4.4567 Percent = 1.3928 Prediction Error = 4.4567 Percent = 1.3928 Prediction Error = 4.3925 Percent = 1.5497 Prediction Error = 4.3925 Percent = 1.5497 Prediction Error = 4.3284 Percent = 1.7212 Prediction Error = 4.3284 Percent = 1.7212 Prediction Error = 4.2643 Percent = 1.9082 Prediction Error = 4.2643 Percent = 1.9082 Prediction Error = 4.2002 Percent = 2.1117 Prediction Error = 4.2002 Percent = 2.1117 Prediction Error = 4.136 Percent = 2.3324 Prediction Error = 4.136 Percent = 2.3324 Prediction Error = 4.0719 Percent = 2.5712 Prediction Error = 4.0719 Percent = 2.5712 Prediction Error = 4.0078 Percent = 2.8288 Prediction Error = 4.0078 Percent = 2.8288 Prediction Error = 3.9437 Percent = 3.1057 Prediction Error = 3.9437 Percent = 3.1057 Prediction Error = 3.8795 Percent = 3.4025 Prediction Error = 3.8795 Percent = 3.4025 Prediction Error = 3.8154 Percent = 3.7197 Prediction Error = 3.8154 Percent = 3.7197 Prediction Error = 3.7513 Percent = 4.0573 Prediction Error = 3.7513 Percent = 4.0573 Prediction Error = 3.6872 Percent = 4.4155 Prediction Error = 3.6872 Percent = 4.4155 Prediction Error = 3.623 Percent = 4.7942 Prediction Error = 3.623 Percent = 4.7942 Prediction Error = 3.5589 Percent = 5.1931 Prediction Error = 3.5589 Percent = 5.1931 Prediction Error = 3.4948 Percent = 5.6115 Prediction Error = 3.4948 Percent = 5.6115 Prediction Error = 3.4307 Percent = 6.0488 Prediction Error = 3.4307 Percent = 6.0488 Prediction Error = 3.3666 Percent = 6.504 Prediction Error = 3.3666 Percent = 6.504 Prediction Error = 3.3024 Percent = 6.9757 Prediction Error = 3.3024 Percent = 6.9757 Prediction Error = 3.1742 Percent = 7.9628 Prediction Error = 3.1742 Percent = 7.9628 Prediction Error = 2.8536 Percent = 10.587 Prediction Error = 2.8536 Percent = 10.587 Prediction Error = 2.6612 Percent = 12.162 Prediction Error = 2.6612 Percent = 12.162 Prediction Error = 2.5329 Percent = 13.162 Prediction Error = 2.5329 Percent = 13.162 Prediction Error = 2.4688 Percent = 13.636 Prediction Error = 2.4688 Percent = 13.636 Prediction Error = 2.4047 Percent = 14.09 Prediction Error = 2.4047 Percent = 14.09 Prediction Error = 2.3406 Percent = 14.52 Prediction Error = 2.3406 Percent = 14.52 Prediction Error = 2.2764 Percent = 14.924 Prediction Error = 2.2764 Percent = 14.924 Prediction Error = 2.2123 Percent = 15.297 Prediction Error = 2.2123 Percent = 15.297 Prediction Error = 2.1482 Percent = 15.64 Prediction Error = 2.1482 Percent = 15.64 Prediction Error = 2.0841 Percent = 15.948 Prediction Error = 2.0841 Percent = 15.948 Prediction Error = 2.0199 Percent = 16.221 Prediction Error = 2.0199 Percent = 16.221 Prediction Error = 1.9558 Percent = 16.456 Prediction Error = 1.9558 Percent = 16.456 Prediction Error = 1.8917 Percent = 16.654 Prediction Error = 1.8917 Percent = 16.654 Prediction Error = 1.8276 Percent = 16.812 Prediction Error = 1.8276 Percent = 16.812 Prediction Error = 1.7635 Percent = 16.932 Prediction Error = 1.7635 Percent = 16.932 Prediction Error = 1.6993 Percent = 17.013 Prediction Error = 1.6993 Percent = 17.013 Prediction Error = 1.6352 Percent = 17.055 Prediction Error = 1.6352 Percent = 17.055 Prediction Error = 1.5711 Percent = 17.061 Prediction Error = 1.5711 Percent = 17.061 Prediction Error = 1.507 Percent = 17.03 Prediction Error = 1.507 Percent = 17.03 Prediction Error = 1.4428 Percent = 16.965 Prediction Error = 1.4428 Percent = 16.965 Prediction Error = 1.3787 Percent = 16.868 Prediction Error = 1.3787 Percent = 16.868 Prediction Error = 1.3146 Percent = 16.741 Prediction Error = 1.3146 Percent = 16.741 Prediction Error = 1.2505 Percent = 16.588 Prediction Error = 1.2505 Percent = 16.588 Prediction Error = 1.1863 Percent = 16.409 Prediction Error = 1.1863 Percent = 16.409 Prediction Error = 1.1222 Percent = 16.21 Prediction Error = 1.1222 Percent = 16.21 Prediction Error = 1.0581 Percent = 15.993 Prediction Error = 1.0581 Percent = 15.993 Prediction Error = 0.994 Percent = 15.761 Prediction Error = 0.994 Percent = 15.761 Prediction Error = 0.6733 Percent = 14.497 Prediction Error = 0.6733 Percent = 14.497 Prediction Error = 0.5451 Percent = 14.001 Prediction Error = 0.5451 Percent = 14.001 Prediction Error = 0.481 Percent = 13.767 Prediction Error = 0.481 Percent = 13.767 Prediction Error = 0.4168 Percent = 13.544 Prediction Error = 0.4168 Percent = 13.544 Prediction Error = 0.3527 Percent = 13.335 Prediction Error = 0.3527 Percent = 13.335 Prediction Error = 0.2886 Percent = 13.143 Prediction Error = 0.2886 Percent = 13.143 Prediction Error = 0.2245 Percent = 12.967 Prediction Error = 0.2245 Percent = 12.967 Prediction Error = 0.1603 Percent = 12.81 Prediction Error = 0.1603 Percent = 12.81 Prediction Error = 0.0962 Percent = 12.673 Prediction Error = 0.0962 Percent = 12.673 Prediction Error = 0.0321 Percent = 12.556 Prediction Error = 0.0321 Percent = 12.556 Prediction Error = -0.032 Percent = 12.46 Prediction Error = -0.032 Percent = 12.46 Prediction Error = -0.096 Percent = 12.385 Prediction Error = -0.096 Percent = 12.385 Prediction Error = -0.16 Percent = 12.331 Prediction Error = -0.16 Percent = 12.331 Prediction Error = -0.224 Percent = 12.298 Prediction Error = -0.224 Percent = 12.298 Prediction Error = -0.289 Percent = 12.284 Prediction Error = -0.289 Percent = 12.284 Prediction Error = -0.353 Percent = 12.291 Prediction Error = -0.353 Percent = 12.291 Prediction Error = -0.417 Percent = 12.316 Prediction Error = -0.417 Percent = 12.316 Prediction Error = -0.481 Percent = 12.359 Prediction Error = -0.481 Percent = 12.359 Prediction Error = -0.545 Percent = 12.419 Prediction Error = -0.545 Percent = 12.419 Prediction Error = -0.609 Percent = 12.493 Prediction Error = -0.609 Percent = 12.493 Prediction Error = -0.673 Percent = 12.582 Prediction Error = -0.673 Percent = 12.582 Prediction Error = -0.737 Percent = 12.682 Prediction Error = -0.737 Percent = 12.682 Prediction Error = -0.802 Percent = 12.792 Prediction Error = -0.802 Percent = 12.792 Prediction Error = -1.186 Percent = 13.557 Prediction Error = -1.186 Percent = 13.557 Prediction Error = -1.25 Percent = 13.682 Prediction Error = -1.25 Percent = 13.682 Prediction Error = -1.315 Percent = 13.799 Prediction Error = -1.315 Percent = 13.799 Prediction Error = -1.379 Percent = 13.908 Prediction Error = -1.379 Percent = 13.908 Prediction Error = -1.443 Percent = 14.006 Prediction Error = -1.443 Percent = 14.006 Prediction Error = -1.507 Percent = 14.091 Prediction Error = -1.507 Percent = 14.091 Prediction Error = -1.571 Percent = 14.161 Prediction Error = -1.571 Percent = 14.161 Prediction Error = -1.635 Percent = 14.213 Prediction Error = -1.635 Percent = 14.213 Prediction Error = -1.699 Percent = 14.247 Prediction Error = -1.699 Percent = 14.247 Prediction Error = -1.763 Percent = 14.26 Prediction Error = -1.763 Percent = 14.26 Prediction Error = -1.827 Percent = 14.252 Prediction Error = -1.827 Percent = 14.252 Prediction Error = -1.892 Percent = 14.22 Prediction Error = -1.892 Percent = 14.22 Prediction Error = -1.956 Percent = 14.165 Prediction Error = -1.956 Percent = 14.165 Prediction Error = -2.02 Percent = 14.084 Prediction Error = -2.02 Percent = 14.084 Prediction Error = -2.084 Percent = 13.978 Prediction Error = -2.084 Percent = 13.978 Prediction Error = -2.148 Percent = 13.846 Prediction Error = -2.148 Percent = 13.846 Prediction Error = -2.212 Percent = 13.688 Prediction Error = -2.212 Percent = 13.688 Prediction Error = -2.276 Percent = 13.504 Prediction Error = -2.276 Percent = 13.504 Prediction Error = -2.34 Percent = 13.295 Prediction Error = -2.34 Percent = 13.295 Prediction Error = -2.405 Percent = 13.062 Prediction Error = -2.405 Percent = 13.062 Prediction Error = -2.469 Percent = 12.805 Prediction Error = -2.469 Percent = 12.805 Prediction Error = -2.533 Percent = 12.525 Prediction Error = -2.533 Percent = 12.525 Prediction Error = -2.597 Percent = 12.225 Prediction Error = -2.597 Percent = 12.225 Prediction Error = -2.661 Percent = 11.904 Prediction Error = -2.661 Percent = 11.904 Prediction Error = -2.725 Percent = 11.566 Prediction Error = -2.725 Percent = 11.566 Prediction Error = -2.789 Percent = 11.212 Prediction Error = -2.789 Percent = 11.212 Prediction Error = -3.431 Percent = 7.2494 Prediction Error = -3.431 Percent = 7.2494 Prediction Error = -3.559 Percent = 6.4704 Prediction Error = -3.559 Percent = 6.4704 Prediction Error = -3.687 Percent = 5.7272 Prediction Error = -3.687 Percent = 5.7272 Prediction Error = -3.751 Percent = 5.372 Prediction Error = -3.751 Percent = 5.372 Prediction Error = -3.815 Percent = 5.0288 Prediction Error = -3.815 Percent = 5.0288 Prediction Error = -3.879 Percent = 4.6984 Prediction Error = -3.879 Percent = 4.6984 Prediction Error = -3.944 Percent = 4.3812 Prediction Error = -3.944 Percent = 4.3812 Prediction Error = -4.008 Percent = 4.0778 Prediction Error = -4.008 Percent = 4.0778 Prediction Error = -4.072 Percent = 3.7883 Prediction Error = -4.072 Percent = 3.7883 Prediction Error = -4.136 Percent = 3.5129 Prediction Error = -4.136 Percent = 3.5129 Prediction Error = -4.2 Percent = 3.2515 Prediction Error = -4.2 Percent = 3.2515 Prediction Error = -4.264 Percent = 3.0041 Prediction Error = -4.264 Percent = 3.0041 Prediction Error = -4.328 Percent = 2.7704 Prediction Error = -4.328 Percent = 2.7704 Prediction Error = -4.392 Percent = 2.5503 Prediction Error = -4.392 Percent = 2.5503 Prediction Error = -4.457 Percent = 2.3433 Prediction Error = -4.457 Percent = 2.3433 Prediction Error = -4.521 Percent = 2.1491 Prediction Error = -4.521 Percent = 2.1491 Prediction Error = -4.585 Percent = 1.9674 Prediction Error = -4.585 Percent = 1.9674 Prediction Error = -4.649 Percent = 1.7975 Prediction Error = -4.649 Percent = 1.7975 Prediction Error = -4.713 Percent = 1.6391 Prediction Error = -4.713 Percent = 1.6391 Prediction Error = -4.777 Percent = 1.4917 Prediction Error = -4.777 Percent = 1.4917 Prediction Error = -4.841 Percent = 1.3547 Prediction Error = -4.841 Percent = 1.3547 Prediction Error = -4.905 Percent = 1.2277 Prediction Error = -4.905 Percent = 1.2277 Prediction Error = -4.97 Percent = 1.1102 Prediction Error = -4.97 Percent = 1.1102 Prediction Error = -5.034 Percent = 1.0017 Prediction Error = -5.034 Percent = 1.0017 Prediction Error = -5.098 Percent = 0.9017 Prediction Error = -5.098 Percent = 0.9017 Prediction Error = -5.162 Percent = 0.8098 Prediction Error = -5.162 Percent = 0.8098 Prediction Error = -5.226 Percent = 0.7254 Prediction Error = -5.226 Percent = 0.7254 Prediction Error = -5.29 Percent = 0.6481 Prediction Error = -5.29 Percent = 0.6481 Prediction Error = -5.354 Percent = 0.5776 Prediction Error = -5.354 Percent = 0.5776 Prediction Error = -5.418 Percent = 0.5134 Prediction Error = -5.418 Percent = 0.5134 Prediction Error = -5.483 Percent = 0.455 Prediction Error = -5.483 Percent = 0.455 Prediction Error = -5.547 Percent = 0.4021 Prediction Error = -5.547 Percent = 0.4021 Prediction Error = -5.611 Percent = 0.3543 Prediction Error = -5.611 Percent = 0.3543 Prediction Error = -5.675 Percent = 0.3112 Prediction Error = -5.675 Percent = 0.3112 Prediction Error = -5.739 Percent = 0.2726 Prediction Error = -5.739 Percent = 0.2726 Prediction Error = -5.803 Percent = 0.2379 Prediction Error = -5.803 Percent = 0.2379 Prediction Error = -5.867 Percent = 0.207 Prediction Error = -5.867 Percent = 0.207 Prediction Error = -5.931 Percent = 0.1796 Prediction Error = -5.931 Percent = 0.1796 Prediction Error = -5.996 Percent = 0.1552 Prediction Error = -5.996 Percent = 0.1552 Prediction Error = -6.06 Percent = 0.1337 Prediction Error = -6.06 Percent = 0.1337 Prediction Error = -6.124 Percent = 0.1147 Prediction Error = -6.124 Percent = 0.1147 Prediction Error = -6.188 Percent = 0.0981 Prediction Error = -6.188 Percent = 0.0981 Prediction Error = -6.252 Percent = 0.0836 Prediction Error = -6.252 Percent = 0.0836 Prediction Error = -6.316 Percent = 0.071 Prediction Error = -6.316 Percent = 0.071 Prediction Error = -6.38 Percent = 0.0601 Prediction Error = -6.38 Percent = 0.0601 Prediction Error = -6.444 Percent = 0.0506 Prediction Error = -6.444 Percent = 0.0506 Prediction Error = -6.509 Percent = 0.0425 Prediction Error = -6.509 Percent = 0.0425 Prediction Error = -6.573 Percent = 0.0356 Prediction Error = 5.9143 Percent = 0.2237 Prediction Error = 5.8542 Percent = 0.2448 Prediction Error = 5.8542 Percent = 0.2448 Prediction Error = 5.7942 Percent = 0.2678 Prediction Error = 5.7942 Percent = 0.2678 Prediction Error = 5.7341 Percent = 0.2926 Prediction Error = 5.7341 Percent = 0.2926 Prediction Error = 5.6741 Percent = 0.3194 Prediction Error = 5.6741 Percent = 0.3194 Prediction Error = 5.614 Percent = 0.3483 Prediction Error = 5.614 Percent = 0.3483 Prediction Error = 5.554 Percent = 0.3796 Prediction Error = 5.554 Percent = 0.3796 Prediction Error = 5.4939 Percent = 0.4132 Prediction Error = 5.4939 Percent = 0.4132 Prediction Error = 5.4339 Percent = 0.4494 Prediction Error = 5.4339 Percent = 0.4494 Prediction Error = 5.3738 Percent = 0.4884 Prediction Error = 5.3738 Percent = 0.4884 Prediction Error = 5.3138 Percent = 0.5302 Prediction Error = 5.3138 Percent = 0.5302 Prediction Error = 5.2538 Percent = 0.5751 Prediction Error = 5.2538 Percent = 0.5751 Prediction Error = 5.1937 Percent = 0.6232 Prediction Error = 5.1937 Percent = 0.6232 Prediction Error = 5.1337 Percent = 0.6747 Prediction Error = 5.1337 Percent = 0.6747 Prediction Error = 5.0736 Percent = 0.7299 Prediction Error = 5.0736 Percent = 0.7299 Prediction Error = 5.0136 Percent = 0.7887 Prediction Error = 5.0136 Percent = 0.7887 Prediction Error = 4.9535 Percent = 0.8516 Prediction Error = 4.9535 Percent = 0.8516 Prediction Error = 4.8935 Percent = 0.9186 Prediction Error = 4.8935 Percent = 0.9186 Prediction Error = 4.8334 Percent = 0.99 Prediction Error = 4.8334 Percent = 0.99 Prediction Error = 4.7734 Percent = 1.066 Prediction Error = 4.7734 Percent = 1.066 Prediction Error = 4.7133 Percent = 1.1467 Prediction Error = 4.7133 Percent = 1.1467 Prediction Error = 4.6533 Percent = 1.2324 Prediction Error = 4.6533 Percent = 1.2324 Prediction Error = 4.5932 Percent = 1.3233 Prediction Error = 4.5932 Percent = 1.3233 Prediction Error = 4.5332 Percent = 1.4196 Prediction Error = 4.5332 Percent = 1.4196 Prediction Error = 4.4731 Percent = 1.5215 Prediction Error = 4.4731 Percent = 1.5215 Prediction Error = 4.4131 Percent = 1.6293 Prediction Error = 4.4131 Percent = 1.6293 Prediction Error = 4.3531 Percent = 1.743 Prediction Error = 4.3531 Percent = 1.743 Prediction Error = 4.293 Percent = 1.863 Prediction Error = 4.293 Percent = 1.863 Prediction Error = 4.233 Percent = 1.9894 Prediction Error = 4.233 Percent = 1.9894 Prediction Error = 4.1729 Percent = 2.1225 Prediction Error = 4.1729 Percent = 2.1225 Prediction Error = 4.1129 Percent = 2.2624 Prediction Error = 4.1129 Percent = 2.2624 Prediction Error = 4.0528 Percent = 2.4092 Prediction Error = 4.0528 Percent = 2.4092 Prediction Error = 3.9928 Percent = 2.5633 Prediction Error = 3.9928 Percent = 2.5633 Prediction Error = 3.9327 Percent = 2.7247 Prediction Error = 3.9327 Percent = 2.7247 Prediction Error = 3.8727 Percent = 2.8936 Prediction Error = 3.8727 Percent = 2.8936 Prediction Error = 3.8126 Percent = 3.0702 Prediction Error = 3.8126 Percent = 3.0702 Prediction Error = 3.7526 Percent = 3.2545 Prediction Error = 3.7526 Percent = 3.2545 Prediction Error = 3.6925 Percent = 3.4468 Prediction Error = 3.6925 Percent = 3.4468 Prediction Error = 3.6325 Percent = 3.647 Prediction Error = 3.6325 Percent = 3.647 Prediction Error = 3.5724 Percent = 3.8554 Prediction Error = 3.5724 Percent = 3.8554 Prediction Error = 3.5124 Percent = 4.0719 Prediction Error = 3.5124 Percent = 4.0719 Prediction Error = 3.4523 Percent = 4.2966 Prediction Error = 3.4523 Percent = 4.2966 Prediction Error = 3.3923 Percent = 4.5295 Prediction Error = 3.3923 Percent = 4.5295 Prediction Error = 3.3323 Percent = 4.7707 Prediction Error = 3.3323 Percent = 4.7707 Prediction Error = 3.2722 Percent = 5.0202 Prediction Error = 3.2722 Percent = 5.0202 Prediction Error = 3.2122 Percent = 5.2778 Prediction Error = 3.2122 Percent = 5.2778 Prediction Error = 3.0921 Percent = 5.8174 Prediction Error = 3.0921 Percent = 5.8174 Prediction Error = 2.972 Percent = 6.3886 Prediction Error = 2.972 Percent = 6.3886 Prediction Error = 2.8519 Percent = 6.9902 Prediction Error = 2.8519 Percent = 6.9902 Prediction Error = 2.7318 Percent = 7.6204 Prediction Error = 2.7318 Percent = 7.6204 Prediction Error = 2.6117 Percent = 8.2769 Prediction Error = 2.6117 Percent = 8.2769 Prediction Error = 1.711 Percent = 13.684 Prediction Error = 1.711 Percent = 13.684 Prediction Error = 1.5309 Percent = 14.761 Prediction Error = 1.5309 Percent = 14.761 Prediction Error = 1.4108 Percent = 15.454 Prediction Error = 1.4108 Percent = 15.454 Prediction Error = 1.2907 Percent = 16.121 Prediction Error = 1.2907 Percent = 16.121 Prediction Error = 1.1706 Percent = 16.755 Prediction Error = 1.1706 Percent = 16.755 Prediction Error = 1.1105 Percent = 17.058 Prediction Error = 1.1105 Percent = 17.058 Prediction Error = 1.0505 Percent = 17.35 Prediction Error = 1.0505 Percent = 17.35 Prediction Error = 0.9904 Percent = 17.631 Prediction Error = 0.9904 Percent = 17.631 Prediction Error = 0.9304 Percent = 17.9 Prediction Error = 0.9304 Percent = 17.9 Prediction Error = 0.8703 Percent = 18.157 Prediction Error = 0.8703 Percent = 18.157 Prediction Error = 0.8103 Percent = 18.4 Prediction Error = 0.8103 Percent = 18.4 Prediction Error = 0.7502 Percent = 18.63 Prediction Error = 0.7502 Percent = 18.63 Prediction Error = 0.6902 Percent = 18.845 Prediction Error = 0.6902 Percent = 18.845 Prediction Error = 0.6302 Percent = 19.045 Prediction Error = 0.6302 Percent = 19.045 Prediction Error = 0.5701 Percent = 19.229 Prediction Error = 0.5701 Percent = 19.229 Prediction Error = 0.5101 Percent = 19.398 Prediction Error = 0.5101 Percent = 19.398 Prediction Error = 0.45 Percent = 19.55 Prediction Error = 0.45 Percent = 19.55 Prediction Error = 0.39 Percent = 19.685 Prediction Error = 0.39 Percent = 19.685 Prediction Error = 0.3299 Percent = 19.803 Prediction Error = 0.3299 Percent = 19.803 Prediction Error = 0.2699 Percent = 19.903 Prediction Error = 0.2699 Percent = 19.903 Prediction Error = 0.2098 Percent = 19.986 Prediction Error = 0.2098 Percent = 19.986 Prediction Error = 0.1498 Percent = 20.05 Prediction Error = 0.1498 Percent = 20.05 Prediction Error = 0.0897 Percent = 20.096 Prediction Error = 0.0897 Percent = 20.096 Prediction Error = 0.0297 Percent = 20.124 Prediction Error = 0.0297 Percent = 20.124 Prediction Error = -0.03 Percent = 20.133 Prediction Error = -0.03 Percent = 20.133 Prediction Error = -0.09 Percent = 20.124 Prediction Error = -0.09 Percent = 20.124 Prediction Error = -0.15 Percent = 20.096 Prediction Error = -0.15 Percent = 20.096 Prediction Error = -0.21 Percent = 20.05 Prediction Error = -0.21 Percent = 20.05 Prediction Error = -0.271 Percent = 19.986 Prediction Error = -0.271 Percent = 19.986 Prediction Error = -0.331 Percent = 19.903 Prediction Error = -0.331 Percent = 19.903 Prediction Error = -0.391 Percent = 19.803 Prediction Error = -0.391 Percent = 19.803 Prediction Error = -0.451 Percent = 19.685 Prediction Error = -0.451 Percent = 19.685 Prediction Error = -0.511 Percent = 19.55 Prediction Error = -0.511 Percent = 19.55 Prediction Error = -0.571 Percent = 19.398 Prediction Error = -0.571 Percent = 19.398 Prediction Error = -0.631 Percent = 19.229 Prediction Error = -0.631 Percent = 19.229 Prediction Error = -0.691 Percent = 19.045 Prediction Error = -0.691 Percent = 19.045 Prediction Error = -0.751 Percent = 18.845 Prediction Error = -0.751 Percent = 18.845 Prediction Error = -0.811 Percent = 18.63 Prediction Error = -0.811 Percent = 18.63 Prediction Error = -0.871 Percent = 18.4 Prediction Error = -0.871 Percent = 18.4 Prediction Error = -0.931 Percent = 18.157 Prediction Error = -0.931 Percent = 18.157 Prediction Error = -0.991 Percent = 17.9 Prediction Error = -0.991 Percent = 17.9 Prediction Error = -1.051 Percent = 17.631 Prediction Error = -1.051 Percent = 17.631 Prediction Error = -1.111 Percent = 17.35 Prediction Error = -1.111 Percent = 17.35 Prediction Error = -1.171 Percent = 17.058 Prediction Error = -1.171 Percent = 17.058 Prediction Error = -1.231 Percent = 16.755 Prediction Error = -1.231 Percent = 16.755 Prediction Error = -1.351 Percent = 16.121 Prediction Error = -1.351 Percent = 16.121 Prediction Error = -1.471 Percent = 15.454 Prediction Error = -1.471 Percent = 15.454 Prediction Error = -2.192 Percent = 11.104 Prediction Error = -2.192 Percent = 11.104 Prediction Error = -2.432 Percent = 9.6575 Prediction Error = -2.432 Percent = 9.6575 Prediction Error = -2.612 Percent = 8.6142 Prediction Error = -2.612 Percent = 8.6142 Prediction Error = -2.732 Percent = 7.9455 Prediction Error = -2.732 Percent = 7.9455 Prediction Error = -2.853 Percent = 7.3018 Prediction Error = -2.853 Percent = 7.3018 Prediction Error = -2.973 Percent = 6.6857 Prediction Error = -2.973 Percent = 6.6857 Prediction Error = -3.093 Percent = 6.0991 Prediction Error = -3.093 Percent = 6.0991 Prediction Error = -3.213 Percent = 5.5436 Prediction Error = -3.213 Percent = 5.5436 Prediction Error = -3.273 Percent = 5.2778 Prediction Error = -3.273 Percent = 5.2778 Prediction Error = -3.333 Percent = 5.0202 Prediction Error = -3.333 Percent = 5.0202 Prediction Error = -3.393 Percent = 4.7707 Prediction Error = -3.393 Percent = 4.7707 Prediction Error = -3.453 Percent = 4.5295 Prediction Error = -3.453 Percent = 4.5295 Prediction Error = -3.513 Percent = 4.2966 Prediction Error = -3.513 Percent = 4.2966 Prediction Error = -3.573 Percent = 4.0719 Prediction Error = -3.573 Percent = 4.0719 Prediction Error = -3.633 Percent = 3.8554 Prediction Error = -3.633 Percent = 3.8554 Prediction Error = -3.693 Percent = 3.647 Prediction Error = -3.693 Percent = 3.647 Prediction Error = -3.753 Percent = 3.4468 Prediction Error = -3.753 Percent = 3.4468 Prediction Error = -3.813 Percent = 3.2545 Prediction Error = -3.813 Percent = 3.2545 Prediction Error = -3.873 Percent = 3.0702 Prediction Error = -3.873 Percent = 3.0702 Prediction Error = -3.933 Percent = 2.8936 Prediction Error = -3.933 Percent = 2.8936 Prediction Error = -3.993 Percent = 2.7247 Prediction Error = -3.993 Percent = 2.7247 Prediction Error = -4.053 Percent = 2.5633 Prediction Error = -4.053 Percent = 2.5633 Prediction Error = -4.114 Percent = 2.4092 Prediction Error = -4.114 Percent = 2.4092 Prediction Error = -4.174 Percent = 2.2624 Prediction Error = -4.174 Percent = 2.2624 Prediction Error = -4.234 Percent = 2.1225 Prediction Error = -4.234 Percent = 2.1225 Prediction Error = -4.294 Percent = 1.9894 Prediction Error = -4.294 Percent = 1.9894 Prediction Error = -4.354 Percent = 1.863 Prediction Error = -4.354 Percent = 1.863 Prediction Error = -4.414 Percent = 1.743 Prediction Error = -4.414 Percent = 1.743 Prediction Error = -4.474 Percent = 1.6293 Prediction Error = -4.474 Percent = 1.6293 Prediction Error = -4.534 Percent = 1.5215 Prediction Error = -4.534 Percent = 1.5215 Prediction Error = -4.594 Percent = 1.4196 Prediction Error = -4.594 Percent = 1.4196 Prediction Error = -4.654 Percent = 1.3233 Prediction Error = -4.654 Percent = 1.3233 Prediction Error = -4.714 Percent = 1.2324 Prediction Error = -4.714 Percent = 1.2324 Prediction Error = -4.774 Percent = 1.1467 Prediction Error = -4.774 Percent = 1.1467 Prediction Error = -4.834 Percent = 1.066 Prediction Error = -4.834 Percent = 1.066 Prediction Error = -4.894 Percent = 0.99 Prediction Error = -4.894 Percent = 0.99 Prediction Error = -4.954 Percent = 0.9186 Prediction Error = -4.954 Percent = 0.9186 Prediction Error = -5.014 Percent = 0.8516 Prediction Error = -5.014 Percent = 0.8516 Prediction Error = -5.074 Percent = 0.7887 Prediction Error = -5.074 Percent = 0.7887 Prediction Error = -5.134 Percent = 0.7299 Prediction Error = -5.134 Percent = 0.7299 Prediction Error = -5.194 Percent = 0.6747 Prediction Error = -5.194 Percent = 0.6747 Prediction Error = -5.254 Percent = 0.6232 Prediction Error = -5.254 Percent = 0.6232 Prediction Error = -5.314 Percent = 0.5751 Prediction Error = -5.314 Percent = 0.5751 Prediction Error = -5.375 Percent = 0.5302 Prediction Error = -5.375 Percent = 0.5302 Prediction Error = -5.435 Percent = 0.4884 Prediction Error = -5.435 Percent = 0.4884 Prediction Error = -5.495 Percent = 0.4494 Prediction Error = -5.495 Percent = 0.4494 Prediction Error = -5.555 Percent = 0.4132 Prediction Error = -5.555 Percent = 0.4132 Prediction Error = -5.615 Percent = 0.3796 Prediction Error = -5.615 Percent = 0.3796 Prediction Error = -5.675 Percent = 0.3483 Prediction Error = -5.675 Percent = 0.3483 Prediction Error = -5.735 Percent = 0.3194 Prediction Error = -5.735 Percent = 0.3194 Prediction Error = -5.795 Percent = 0.2926 Prediction Error = -5.795 Percent = 0.2926 Prediction Error = -5.855 Percent = 0.2678 Prediction Error = -5.855 Percent = 0.2678 Prediction Error = -5.915 Percent = 0.2448 Prediction Error = -5.915 Percent = 0.2448 Prediction Error = -5.975 Percent = 0.2237 Prediction Error = 4 Percent = 0.9091 Prediction Error = 4 Percent = 0.9091 Prediction Error = 3 Percent = 7.7273 Prediction Error = 3 Percent = 7.7273 Prediction Error = 2 Percent = 23.182 Prediction Error = 2 Percent = 23.182 Prediction Error = 1 Percent = 15.455 Prediction Error = 1 Percent = 15.455 Prediction Error = 0 Percent = 9.0909 Prediction Error = 0 Percent = 9.0909 Prediction Error = -1 Percent = 12.727 Prediction Error = -1 Percent = 12.727 Prediction Error = -2 Percent = 17.727 Prediction Error = -2 Percent = 17.727 Prediction Error = -3 Percent = 10.455 Prediction Error = -3 Percent = 10.455 Prediction Error = -4 Percent = 2.7273 Prediction Error = -4 Percent = 2.7273 Quantile = 2.766 Residual = 4.0719 Quantile = 2.4383 Residual = 4.0069 Quantile = 2.2598 Residual = 3.1104 Quantile = 2.1331 Residual = 3 Quantile = 2.0335 Residual = 2.9384 Quantile = 1.9508 Residual = 2.9032 Quantile = 1.8796 Residual = 2.8517 Quantile = 1.8169 Residual = 2.8347 Quantile = 1.7605 Residual = 2.7754 Quantile = 1.7093 Residual = 2.6881 Quantile = 1.6622 Residual = 2.6819 Quantile = 1.6185 Residual = 2.6292 Quantile = 1.5777 Residual = 2.6244 Quantile = 1.5393 Residual = 2.6094 Quantile = 1.5031 Residual = 2.5956 Quantile = 1.4688 Residual = 2.5486 Quantile = 1.4361 Residual = 2.5284 Quantile = 1.4049 Residual = 2.5233 Quantile = 1.375 Residual = 2.5007 Quantile = 1.3463 Residual = 2.4404 Quantile = 1.3186 Residual = 2.4397 Quantile = 1.292 Residual = 2.4035 Quantile = 1.2662 Residual = 2.3856 Quantile = 1.2412 Residual = 2.3807 Quantile = 1.217 Residual = 2.377 Quantile = 1.1935 Residual = 2.3054 Quantile = 1.1706 Residual = 2.2499 Quantile = 1.1483 Residual = 2.2497 Quantile = 1.1266 Residual = 2.1071 Quantile = 1.1053 Residual = 2.0945 Quantile = 1.0846 Residual = 2.0649 Quantile = 1.0643 Residual = 2.0579 Quantile = 1.0445 Residual = 2.0343 Quantile = 1.0251 Residual = 2.0154 Quantile = 1.006 Residual = 2.0117 Quantile = 0.9873 Residual = 1.9847 Quantile = 0.9689 Residual = 1.9699 Quantile = 0.9509 Residual = 1.9618 Quantile = 0.9332 Residual = 1.9404 Quantile = 0.9157 Residual = 1.9378 Quantile = 0.8985 Residual = 1.8994 Quantile = 0.8816 Residual = 1.8923 Quantile = 0.865 Residual = 1.8885 Quantile = 0.8485 Residual = 1.8857 Quantile = 0.8323 Residual = 1.8656 Quantile = 0.8163 Residual = 1.8201 Quantile = 0.8006 Residual = 1.8081 Quantile = 0.785 Residual = 1.799 Quantile = 0.7696 Residual = 1.7868 Quantile = 0.7544 Residual = 1.7796 Quantile = 0.7393 Residual = 1.7779 Quantile = 0.7245 Residual = 1.7753 Quantile = 0.7097 Residual = 1.7537 Quantile = 0.6952 Residual = 1.7428 Quantile = 0.6808 Residual = 1.7382 Quantile = 0.6665 Residual = 1.7292 Quantile = 0.6523 Residual = 1.7221 Quantile = 0.6383 Residual = 1.7151 Quantile = 0.6244 Residual = 1.7025 Quantile = 0.6107 Residual = 1.6746 Quantile = 0.597 Residual = 1.6497 Quantile = 0.5834 Residual = 1.6357 Quantile = 0.57 Residual = 1.6137 Quantile = 0.5567 Residual = 1.6122 Quantile = 0.5434 Residual = 1.5925 Quantile = 0.5303 Residual = 1.582 Quantile = 0.5172 Residual = 1.5813 Quantile = 0.5043 Residual = 1.545 Quantile = 0.4914 Residual = 1.5327 Quantile = 0.4786 Residual = 1.5164 Quantile = 0.4659 Residual = 1.4839 Quantile = 0.4532 Residual = 1.4756 Quantile = 0.4406 Residual = 1.47 Quantile = 0.4281 Residual = 1.4371 Quantile = 0.4157 Residual = 1.4229 Quantile = 0.4033 Residual = 1.4084 Quantile = 0.391 Residual = 1.3908 Quantile = 0.3787 Residual = 1.3859 Quantile = 0.3665 Residual = 1.3705 Quantile = 0.3544 Residual = 1.3458 Quantile = 0.3423 Residual = 1.3262 Quantile = 0.3303 Residual = 1.3022 Quantile = 0.3183 Residual = 1.2867 Quantile = 0.3063 Residual = 1.2786 Quantile = 0.2944 Residual = 1.2448 Quantile = 0.2825 Residual = 1.2416 Quantile = 0.2707 Residual = 1.2049 Quantile = 0.2589 Residual = 1.1673 Quantile = 0.2472 Residual = 1.1444 Quantile = 0.2355 Residual = 1.1353 Quantile = 0.2238 Residual = 1.0516 Quantile = 0.2121 Residual = 1.0423 Quantile = 0.2005 Residual = 0.9903 Quantile = 0.1889 Residual = 0.9694 Quantile = 0.1773 Residual = 0.9363 Quantile = 0.1658 Residual = 0.909 Quantile = 0.1543 Residual = 0.888 Quantile = 0.1427 Residual = 0.8363 Quantile = 0.1313 Residual = 0.7971 Quantile = 0.1198 Residual = 0.6624 Quantile = 0.1083 Residual = 0.6559 Quantile = 0.0969 Residual = 0.549 Quantile = 0.0855 Residual = 0.5137 Quantile = 0.074 Residual = 0.5009 Quantile = 0.0626 Residual = 0.3154 Quantile = 0.0512 Residual = 0.2819 Quantile = 0.0398 Residual = 0.2587 Quantile = 0.0285 Residual = 0.1809 Quantile = 0.0171 Residual = 0.0524 Quantile = 0.0057 Residual = 0.0099 Quantile = -0.006 Residual = 0.0096 Quantile = -0.017 Residual = 0.0085 Quantile = -0.028 Residual = 0.0083 Quantile = -0.04 Residual = 0.0072 Quantile = -0.051 Residual = 0.0059 Quantile = -0.063 Residual = -0.025 Quantile = -0.074 Residual = -0.04 Quantile = -0.085 Residual = -0.051 Quantile = -0.097 Residual = -0.067 Quantile = -0.108 Residual = -0.072 Quantile = -0.12 Residual = -0.142 Quantile = -0.131 Residual = -0.269 Quantile = -0.143 Residual = -0.396 Quantile = -0.154 Residual = -0.405 Quantile = -0.166 Residual = -0.515 Quantile = -0.177 Residual = -0.544 Quantile = -0.189 Residual = -0.613 Quantile = -0.2 Residual = -0.745 Quantile = -0.212 Residual = -0.771 Quantile = -0.224 Residual = -0.798 Quantile = -0.235 Residual = -0.799 Quantile = -0.247 Residual = -0.813 Quantile = -0.259 Residual = -0.816 Quantile = -0.271 Residual = -0.818 Quantile = -0.283 Residual = -0.846 Quantile = -0.294 Residual = -0.881 Quantile = -0.306 Residual = -0.953 Quantile = -0.318 Residual = -0.996 Quantile = -0.33 Residual = -1.126 Quantile = -0.342 Residual = -1.287 Quantile = -0.354 Residual = -1.296 Quantile = -0.367 Residual = -1.314 Quantile = -0.379 Residual = -1.351 Quantile = -0.391 Residual = -1.376 Quantile = -0.403 Residual = -1.382 Quantile = -0.416 Residual = -1.413 Quantile = -0.428 Residual = -1.445 Quantile = -0.441 Residual = -1.465 Quantile = -0.453 Residual = -1.474 Quantile = -0.466 Residual = -1.494 Quantile = -0.479 Residual = -1.496 Quantile = -0.491 Residual = -1.499 Quantile = -0.504 Residual = -1.503 Quantile = -0.517 Residual = -1.505 Quantile = -0.53 Residual = -1.52 Quantile = -0.543 Residual = -1.56 Quantile = -0.557 Residual = -1.56 Quantile = -0.57 Residual = -1.572 Quantile = -0.583 Residual = -1.584 Quantile = -0.597 Residual = -1.59 Quantile = -0.611 Residual = -1.66 Quantile = -0.624 Residual = -1.699 Quantile = -0.638 Residual = -1.703 Quantile = -0.652 Residual = -1.74 Quantile = -0.666 Residual = -1.861 Quantile = -0.681 Residual = -1.906 Quantile = -0.695 Residual = -1.906 Quantile = -0.71 Residual = -1.906 Quantile = -0.724 Residual = -1.908 Quantile = -0.739 Residual = -1.925 Quantile = -0.754 Residual = -1.949 Quantile = -0.77 Residual = -2.024 Quantile = -0.785 Residual = -2.076 Quantile = -0.801 Residual = -2.076 Quantile = -0.816 Residual = -2.087 Quantile = -0.832 Residual = -2.127 Quantile = -0.849 Residual = -2.153 Quantile = -0.865 Residual = -2.175 Quantile = -0.882 Residual = -2.219 Quantile = -0.899 Residual = -2.232 Quantile = -0.916 Residual = -2.278 Quantile = -0.933 Residual = -2.32 Quantile = -0.951 Residual = -2.321 Quantile = -0.969 Residual = -2.331 Quantile = -0.987 Residual = -2.334 Quantile = -1.006 Residual = -2.347 Quantile = -1.025 Residual = -2.423 Quantile = -1.044 Residual = -2.469 Quantile = -1.064 Residual = -2.489 Quantile = -1.085 Residual = -2.49 Quantile = -1.105 Residual = -2.491 Quantile = -1.127 Residual = -2.534 Quantile = -1.148 Residual = -2.536 Quantile = -1.171 Residual = -2.547 Quantile = -1.193 Residual = -2.56 Quantile = -1.217 Residual = -2.575 Quantile = -1.241 Residual = -2.582 Quantile = -1.266 Residual = -2.599 Quantile = -1.292 Residual = -2.604 Quantile = -1.319 Residual = -2.692 Quantile = -1.346 Residual = -2.696 Quantile = -1.375 Residual = -2.696 Quantile = -1.405 Residual = -2.697 Quantile = -1.436 Residual = -2.699 Quantile = -1.469 Residual = -2.7 Quantile = -1.503 Residual = -2.709 Quantile = -1.539 Residual = -2.806 Quantile = -1.578 Residual = -2.83 Quantile = -1.618 Residual = -2.906 Quantile = -1.662 Residual = -2.917 Quantile = -1.709 Residual = -3.023 Quantile = -1.761 Residual = -3.13 Quantile = -1.817 Residual = -3.161 Quantile = -1.88 Residual = -3.292 Quantile = -1.951 Residual = -3.546 Quantile = -2.034 Residual = -3.982 Quantile = -2.133 Residual = -4.036 Quantile = -2.26 Residual = -4.043 Quantile = -2.438 Residual = -4.049 Quantile = -2.766 Residual = -4.136 Slope = 1.9815 Y = -0.03 Lag = 24 ACF = -0.012 Lag = 23 ACF = 0.1166 Lag = 22 ACF = -0.045 Lag = 21 ACF = -0.014 Lag = 20 ACF = -0.027 Lag = 19 ACF = 0.0068 Lag = 18 ACF = 0.0097 Lag = 17 ACF = -0.019 Lag = 16 ACF = -.0004 Lag = 15 ACF = 0.1023 Lag = 14 ACF = -0.101 Lag = 13 ACF = 0.077 Lag = 12 ACF = -0.049 Lag = 11 ACF = 0.0077 Lag = 10 ACF = 0.0697 Lag = 9 ACF = -0.076 Lag = 8 ACF = -0.019 Lag = 7 ACF = 0.0925 Lag = 6 ACF = 0.082 Lag = 5 ACF = 0.0075 Lag = 4 ACF = -0.01 Lag = 3 ACF = -0.003 Lag = 2 ACF = -0.096 Lag = 1 ACF = -0.034 Lag = 0 ACF = 1 Lag = 24 Lower = -0.146 Upper = 0.1456 Lag = 23 Lower = -0.144 Upper = 0.1439 Lag = 23 Lower = -0.144 Upper = 0.1439 Lag = 22 Lower = -0.144 Upper = 0.1436 Lag = 22 Lower = -0.144 Upper = 0.1436 Lag = 21 Lower = -0.144 Upper = 0.1436 Lag = 21 Lower = -0.144 Upper = 0.1436 Lag = 20 Lower = -0.144 Upper = 0.1435 Lag = 20 Lower = -0.144 Upper = 0.1435 Lag = 19 Lower = -0.144 Upper = 0.1435 Lag = 19 Lower = -0.144 Upper = 0.1435 Lag = 18 Lower = -0.144 Upper = 0.1435 Lag = 18 Lower = -0.144 Upper = 0.1435 Lag = 17 Lower = -0.143 Upper = 0.1435 Lag = 17 Lower = -0.143 Upper = 0.1435 Lag = 16 Lower = -0.143 Upper = 0.1435 Lag = 16 Lower = -0.143 Upper = 0.1435 Lag = 15 Lower = -0.142 Upper = 0.1421 Lag = 15 Lower = -0.142 Upper = 0.1421 Lag = 14 Lower = -0.141 Upper = 0.1408 Lag = 14 Lower = -0.141 Upper = 0.1408 Lag = 13 Lower = -0.14 Upper = 0.14 Lag = 13 Lower = -0.14 Upper = 0.14 Lag = 12 Lower = -0.14 Upper = 0.1397 Lag = 12 Lower = -0.14 Upper = 0.1397 Lag = 11 Lower = -0.14 Upper = 0.1397 Lag = 11 Lower = -0.14 Upper = 0.1397 Lag = 10 Lower = -0.139 Upper = 0.1391 Lag = 10 Lower = -0.139 Upper = 0.1391 Lag = 9 Lower = -0.138 Upper = 0.1383 Lag = 9 Lower = -0.138 Upper = 0.1383 Lag = 8 Lower = -0.138 Upper = 0.1383 Lag = 8 Lower = -0.138 Upper = 0.1383 Lag = 7 Lower = -0.137 Upper = 0.1371 Lag = 7 Lower = -0.137 Upper = 0.1371 Lag = 6 Lower = -0.136 Upper = 0.1362 Lag = 6 Lower = -0.136 Upper = 0.1362 Lag = 5 Lower = -0.136 Upper = 0.1362 Lag = 5 Lower = -0.136 Upper = 0.1362 Lag = 4 Lower = -0.136 Upper = 0.1362 Lag = 4 Lower = -0.136 Upper = 0.1362 Lag = 3 Lower = -0.136 Upper = 0.1362 Lag = 3 Lower = -0.136 Upper = 0.1362 Lag = 2 Lower = -0.135 Upper = 0.135 Lag = 2 Lower = -0.135 Upper = 0.135 Lag = 1 Lower = -0.135 Upper = 0.1348 Lag = 1 Lower = -0.135 Upper = 0.1348 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = 0.0087 Lag = 23 PACF = 0.1006 Lag = 22 PACF = -0.06 Lag = 21 PACF = -0.02 Lag = 20 PACF = -0.028 Lag = 19 PACF = 0.0148 Lag = 18 PACF = 0.0111 Lag = 17 PACF = -0.012 Lag = 16 PACF = -0.013 Lag = 15 PACF = 0.123 Lag = 14 PACF = -0.113 Lag = 13 PACF = 0.0595 Lag = 12 PACF = -0.048 Lag = 11 PACF = 0.001 Lag = 10 PACF = 0.0668 Lag = 9 PACF = -0.059 Lag = 8 PACF = 0.0052 Lag = 7 PACF = 0.1017 Lag = 6 PACF = 0.0804 Lag = 5 PACF = 0.0051 Lag = 4 PACF = -0.02 Lag = 3 PACF = -0.01 Lag = 2 PACF = -0.097 Lag = 1 PACF = -0.034 Lag = 24 Lower = -0.135 Upper = 0.1348 Lag = 23 Lower = -0.135 Upper = 0.1348 Lag = 23 Lower = -0.135 Upper = 0.1348 Lag = 22 Lower = -0.135 Upper = 0.1348 Lag = 22 Lower = -0.135 Upper = 0.1348 Lag = 21 Lower = -0.135 Upper = 0.1348 Lag = 21 Lower = -0.135 Upper = 0.1348 Lag = 20 Lower = -0.135 Upper = 0.1348 Lag = 20 Lower = -0.135 Upper = 0.1348 Lag = 19 Lower = -0.135 Upper = 0.1348 Lag = 19 Lower = -0.135 Upper = 0.1348 Lag = 18 Lower = -0.135 Upper = 0.1348 Lag = 18 Lower = -0.135 Upper = 0.1348 Lag = 17 Lower = -0.135 Upper = 0.1348 Lag = 17 Lower = -0.135 Upper = 0.1348 Lag = 16 Lower = -0.135 Upper = 0.1348 Lag = 16 Lower = -0.135 Upper = 0.1348 Lag = 15 Lower = -0.135 Upper = 0.1348 Lag = 15 Lower = -0.135 Upper = 0.1348 Lag = 14 Lower = -0.135 Upper = 0.1348 Lag = 14 Lower = -0.135 Upper = 0.1348 Lag = 13 Lower = -0.135 Upper = 0.1348 Lag = 13 Lower = -0.135 Upper = 0.1348 Lag = 12 Lower = -0.135 Upper = 0.1348 Lag = 12 Lower = -0.135 Upper = 0.1348 Lag = 11 Lower = -0.135 Upper = 0.1348 Lag = 11 Lower = -0.135 Upper = 0.1348 Lag = 10 Lower = -0.135 Upper = 0.1348 Lag = 10 Lower = -0.135 Upper = 0.1348 Lag = 9 Lower = -0.135 Upper = 0.1348 Lag = 9 Lower = -0.135 Upper = 0.1348 Lag = 8 Lower = -0.135 Upper = 0.1348 Lag = 8 Lower = -0.135 Upper = 0.1348 Lag = 7 Lower = -0.135 Upper = 0.1348 Lag = 7 Lower = -0.135 Upper = 0.1348 Lag = 6 Lower = -0.135 Upper = 0.1348 Lag = 6 Lower = -0.135 Upper = 0.1348 Lag = 5 Lower = -0.135 Upper = 0.1348 Lag = 5 Lower = -0.135 Upper = 0.1348 Lag = 4 Lower = -0.135 Upper = 0.1348 Lag = 4 Lower = -0.135 Upper = 0.1348 Lag = 3 Lower = -0.135 Upper = 0.1348 Lag = 3 Lower = -0.135 Upper = 0.1348 Lag = 2 Lower = -0.135 Upper = 0.1348 Lag = 2 Lower = -0.135 Upper = 0.1348 Lag = 1 Lower = -0.135 Upper = 0.1348
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Mar2019 Loess Fit = 0.2819 Date_of_death = Feb2019 Loess Fit = 0.28 Date_of_death = Feb2019 Loess Fit = 0.28 Date_of_death = Jan2019 Loess Fit = 0.278 Date_of_death = Jan2019 Loess Fit = 0.278 Date_of_death = Dec2018 Loess Fit = 0.2761 Date_of_death = Dec2018 Loess Fit = 0.2761 Date_of_death = Nov2018 Loess Fit = 0.2741 Date_of_death = Nov2018 Loess Fit = 0.2741 Date_of_death = Oct2018 Loess Fit = 0.2722 Date_of_death = Oct2018 Loess Fit = 0.2722 Date_of_death = Sep2018 Loess Fit = 0.2702 Date_of_death = Sep2018 Loess Fit = 0.2702 Date_of_death = Aug2018 Loess Fit = 0.2683 Date_of_death = Aug2018 Loess Fit = 0.2683 Date_of_death = Jul2018 Loess Fit = 0.2663 Date_of_death = Jul2018 Loess Fit = 0.2663 Date_of_death = Jun2018 Loess Fit = 0.2644 Date_of_death = Jun2018 Loess Fit = 0.2644 Date_of_death = May2018 Loess Fit = 0.2624 Date_of_death = May2018 Loess Fit = 0.2624 Date_of_death = Mar2018 Loess Fit = 0.2605 Date_of_death = Mar2018 Loess Fit = 0.2605 Date_of_death = Feb2018 Loess Fit = 0.2585 Date_of_death = Feb2018 Loess Fit = 0.2585 Date_of_death = Jan2018 Loess Fit = 0.2566 Date_of_death = Jan2018 Loess Fit = 0.2566 Date_of_death = Dec2017 Loess Fit = 0.2546 Date_of_death = Dec2017 Loess Fit = 0.2546 Date_of_death = Nov2017 Loess Fit = 0.2527 Date_of_death = Nov2017 Loess Fit = 0.2527 Date_of_death = Oct2017 Loess Fit = 0.2507 Date_of_death = Oct2017 Loess Fit = 0.2507 Date_of_death = Sep2017 Loess Fit = 0.2488 Date_of_death = Sep2017 Loess Fit = 0.2488 Date_of_death = Aug2017 Loess Fit = 0.2468 Date_of_death = Aug2017 Loess Fit = 0.2468 Date_of_death = Jul2017 Loess Fit = 0.2449 Date_of_death = Jul2017 Loess Fit = 0.2449 Date_of_death = Jun2017 Loess Fit = 0.2429 Date_of_death = Jun2017 Loess Fit = 0.2429 Date_of_death = May2017 Loess Fit = 0.241 Date_of_death = May2017 Loess Fit = 0.241 Date_of_death = Mar2017 Loess Fit = 0.239 Date_of_death = Mar2017 Loess Fit = 0.239 Date_of_death = Feb2017 Loess Fit = 0.2371 Date_of_death = Feb2017 Loess Fit = 0.2371 Date_of_death = Jan2017 Loess Fit = 0.2351 Date_of_death = Jan2017 Loess Fit = 0.2351 Date_of_death = Dec2016 Loess Fit = 0.2329 Date_of_death = Dec2016 Loess Fit = 0.2329 Date_of_death = Nov2016 Loess Fit = 0.2303 Date_of_death = Nov2016 Loess Fit = 0.2303 Date_of_death = Oct2016 Loess Fit = 0.2277 Date_of_death = Oct2016 Loess Fit = 0.2277 Date_of_death = Sep2016 Loess Fit = 0.2251 Date_of_death = Sep2016 Loess Fit = 0.2251 Date_of_death = Aug2016 Loess Fit = 0.2225 Date_of_death = Aug2016 Loess Fit = 0.2225 Date_of_death = Jul2016 Loess Fit = 0.2199 Date_of_death = Jul2016 Loess Fit = 0.2199 Date_of_death = Jun2016 Loess Fit = 0.2173 Date_of_death = Jun2016 Loess Fit = 0.2173 Date_of_death = Apr2016 Loess Fit = 0.2147 Date_of_death = Apr2016 Loess Fit = 0.2147 Date_of_death = Mar2016 Loess Fit = 0.2121 Date_of_death = Mar2016 Loess Fit = 0.2121 Date_of_death = Feb2016 Loess Fit = 0.2095 Date_of_death = Feb2016 Loess Fit = 0.2095 Date_of_death = Jan2016 Loess Fit = 0.2069 Date_of_death = Jan2016 Loess Fit = 0.2069 Date_of_death = Dec2015 Loess Fit = 0.2043 Date_of_death = Dec2015 Loess Fit = 0.2043 Date_of_death = Nov2015 Loess Fit = 0.2017 Date_of_death = Nov2015 Loess Fit = 0.2017 Date_of_death = Oct2015 Loess Fit = 0.1991 Date_of_death = Oct2015 Loess Fit = 0.1991 Date_of_death = Sep2015 Loess Fit = 0.1965 Date_of_death = Sep2015 Loess Fit = 0.1965 Date_of_death = Aug2015 Loess Fit = 0.1939 Date_of_death = Aug2015 Loess Fit = 0.1939 Date_of_death = Jul2015 Loess Fit = 0.1913 Date_of_death = Jul2015 Loess Fit = 0.1913 Date_of_death = Jun2015 Loess Fit = 0.1887 Date_of_death = Jun2015 Loess Fit = 0.1887 Date_of_death = Apr2015 Loess Fit = 0.1861 Date_of_death = Apr2015 Loess Fit = 0.1861 Date_of_death = Mar2015 Loess Fit = 0.1835 Date_of_death = Mar2015 Loess Fit = 0.1835 Date_of_death = Feb2015 Loess Fit = 0.1809 Date_of_death = Feb2015 Loess Fit = 0.1809 Date_of_death = Jan2015 Loess Fit = 0.1783 Date_of_death = Jan2015 Loess Fit = 0.1783 Date_of_death = Dec2014 Loess Fit = 0.1757 Date_of_death = Dec2014 Loess Fit = 0.1757 Date_of_death = Nov2014 Loess Fit = 0.1731 Date_of_death = Nov2014 Loess Fit = 0.1731 Date_of_death = Oct2014 Loess Fit = 0.1705 Date_of_death = Oct2014 Loess Fit = 0.1705 Date_of_death = Sep2014 Loess Fit = 0.1679 Date_of_death = Sep2014 Loess Fit = 0.1679 Date_of_death = Aug2014 Loess Fit = 0.1651 Date_of_death = Aug2014 Loess Fit = 0.1651 Date_of_death = Jul2014 Loess Fit = 0.1622 Date_of_death = Jul2014 Loess Fit = 0.1622 Date_of_death = May2014 Loess Fit = 0.1593 Date_of_death = May2014 Loess Fit = 0.1593 Date_of_death = Apr2014 Loess Fit = 0.1564 Date_of_death = Apr2014 Loess Fit = 0.1564 Date_of_death = Mar2014 Loess Fit = 0.1536 Date_of_death = Mar2014 Loess Fit = 0.1536 Date_of_death = Feb2014 Loess Fit = 0.1507 Date_of_death = Feb2014 Loess Fit = 0.1507 Date_of_death = Jan2014 Loess Fit = 0.1478 Date_of_death = Jan2014 Loess Fit = 0.1478 Date_of_death = Dec2013 Loess Fit = 0.1449 Date_of_death = Dec2013 Loess Fit = 0.1449 Date_of_death = Nov2013 Loess Fit = 0.1421 Date_of_death = Nov2013 Loess Fit = 0.1421 Date_of_death = Oct2013 Loess Fit = 0.1392 Date_of_death = Oct2013 Loess Fit = 0.1392 Date_of_death = Sep2013 Loess Fit = 0.1363 Date_of_death = Sep2013 Loess Fit = 0.1363 Date_of_death = Aug2013 Loess Fit = 0.1334 Date_of_death = Aug2013 Loess Fit = 0.1334 Date_of_death = Jul2013 Loess Fit = 0.1306 Date_of_death = Jul2013 Loess Fit = 0.1306 Date_of_death = May2013 Loess Fit = 0.1277 Date_of_death = May2013 Loess Fit = 0.1277 Date_of_death = Apr2013 Loess Fit = 0.1248 Date_of_death = Apr2013 Loess Fit = 0.1248 Date_of_death = Mar2013 Loess Fit = 0.1219 Date_of_death = Mar2013 Loess Fit = 0.1219 Date_of_death = Feb2013 Loess Fit = 0.1191 Date_of_death = Feb2013 Loess Fit = 0.1191 Date_of_death = Jan2013 Loess Fit = 0.1162 Date_of_death = Jan2013 Loess Fit = 0.1162 Date_of_death = Dec2012 Loess Fit = 0.1133 Date_of_death = Dec2012 Loess Fit = 0.1133 Date_of_death = Nov2012 Loess Fit = 0.1104 Date_of_death = Nov2012 Loess Fit = 0.1104 Date_of_death = Oct2012 Loess Fit = 0.1076 Date_of_death = Oct2012 Loess Fit = 0.1076 Date_of_death = Sep2012 Loess Fit = 0.1047 Date_of_death = Sep2012 Loess Fit = 0.1047 Date_of_death = Aug2012 Loess Fit = 0.1018 Date_of_death = Aug2012 Loess Fit = 0.1018 Date_of_death = Jun2012 Loess Fit = 0.0989 Date_of_death = Jun2012 Loess Fit = 0.0989 Date_of_death = May2012 Loess Fit = 0.096 Date_of_death = May2012 Loess Fit = 0.096 Date_of_death = Apr2012 Loess Fit = 0.0931 Date_of_death = Apr2012 Loess Fit = 0.0931 Date_of_death = Mar2012 Loess Fit = 0.0901 Date_of_death = Mar2012 Loess Fit = 0.0901 Date_of_death = Feb2012 Loess Fit = 0.0871 Date_of_death = Feb2012 Loess Fit = 0.0871 Date_of_death = Jan2012 Loess Fit = 0.0841 Date_of_death = Jan2012 Loess Fit = 0.0841 Date_of_death = Dec2011 Loess Fit = 0.0811 Date_of_death = Dec2011 Loess Fit = 0.0811 Date_of_death = Nov2011 Loess Fit = 0.0782 Date_of_death = Nov2011 Loess Fit = 0.0782 Date_of_death = Oct2011 Loess Fit = 0.0752 Date_of_death = Oct2011 Loess Fit = 0.0752 Date_of_death = Sep2011 Loess Fit = 0.0722 Date_of_death = Sep2011 Loess Fit = 0.0722 Date_of_death = Aug2011 Loess Fit = 0.0692 Date_of_death = Aug2011 Loess Fit = 0.0692 Date_of_death = Jun2011 Loess Fit = 0.0663 Date_of_death = Jun2011 Loess Fit = 0.0663 Date_of_death = May2011 Loess Fit = 0.0633 Date_of_death = May2011 Loess Fit = 0.0633 Date_of_death = Apr2011 Loess Fit = 0.0603 Date_of_death = Apr2011 Loess Fit = 0.0603 Date_of_death = Mar2011 Loess Fit = 0.0573 Date_of_death = Mar2011 Loess Fit = 0.0573 Date_of_death = Feb2011 Loess Fit = 0.0543 Date_of_death = Feb2011 Loess Fit = 0.0543 Date_of_death = Jan2011 Loess Fit = 0.0514 Date_of_death = Jan2011 Loess Fit = 0.0514 Date_of_death = Dec2010 Loess Fit = 0.0484 Date_of_death = Dec2010 Loess Fit = 0.0484 Date_of_death = Nov2010 Loess Fit = 0.0454 Date_of_death = Nov2010 Loess Fit = 0.0454 Date_of_death = Oct2010 Loess Fit = 0.0424 Date_of_death = Oct2010 Loess Fit = 0.0424 Date_of_death = Sep2010 Loess Fit = 0.0394 Date_of_death = Sep2010 Loess Fit = 0.0394 Date_of_death = Jul2010 Loess Fit = 0.0365 Date_of_death = Jul2010 Loess Fit = 0.0365 Date_of_death = Jun2010 Loess Fit = 0.0335 Date_of_death = Jun2010 Loess Fit = 0.0335 Date_of_death = May2010 Loess Fit = 0.0305 Date_of_death = May2010 Loess Fit = 0.0305 Date_of_death = Apr2010 Loess Fit = 0.0275 Date_of_death = Apr2010 Loess Fit = 0.0275 Date_of_death = Mar2010 Loess Fit = 0.0246 Date_of_death = Mar2010 Loess Fit = 0.0246 Date_of_death = Feb2010 Loess Fit = 0.0216 Date_of_death = Feb2010 Loess Fit = 0.0216 Date_of_death = Jan2010 Loess Fit = 0.017 Date_of_death = Jan2010 Loess Fit = 0.017 Date_of_death = Dec2009 Loess Fit = 0.0112 Date_of_death = Dec2009 Loess Fit = 0.0112 Date_of_death = Nov2009 Loess Fit = 0.0055 Date_of_death = Nov2009 Loess Fit = 0.0055 Date_of_death = Oct2009 Loess Fit = -.0003 Date_of_death = Oct2009 Loess Fit = -.0003 Date_of_death = Sep2009 Loess Fit = -0.006 Date_of_death = Sep2009 Loess Fit = -0.006 Date_of_death = Jul2009 Loess Fit = -0.012 Date_of_death = Jul2009 Loess Fit = -0.012 Date_of_death = Jun2009 Loess Fit = -0.018 Date_of_death = Jun2009 Loess Fit = -0.018 Date_of_death = May2009 Loess Fit = -0.023 Date_of_death = May2009 Loess Fit = -0.023 Date_of_death = Apr2009 Loess Fit = -0.029 Date_of_death = Apr2009 Loess Fit = -0.029 Date_of_death = Mar2009 Loess Fit = -0.035 Date_of_death = Mar2009 Loess Fit = -0.035 Date_of_death = Feb2009 Loess Fit = -0.041 Date_of_death = Feb2009 Loess Fit = -0.041 Date_of_death = Jan2009 Loess Fit = -0.046 Date_of_death = Jan2009 Loess Fit = -0.046 Date_of_death = Dec2008 Loess Fit = -0.052 Date_of_death = Dec2008 Loess Fit = -0.052 Date_of_death = Nov2008 Loess Fit = -0.058 Date_of_death = Nov2008 Loess Fit = -0.058 Date_of_death = Oct2008 Loess Fit = -0.064 Date_of_death = Oct2008 Loess Fit = -0.064 Date_of_death = Aug2008 Loess Fit = -0.069 Date_of_death = Aug2008 Loess Fit = -0.069 Date_of_death = Jul2008 Loess Fit = -0.075 Date_of_death = Jul2008 Loess Fit = -0.075 Date_of_death = Jun2008 Loess Fit = -0.081 Date_of_death = Jun2008 Loess Fit = -0.081 Date_of_death = May2008 Loess Fit = -0.087 Date_of_death = May2008 Loess Fit = -0.087 Date_of_death = Apr2008 Loess Fit = -0.093 Date_of_death = Apr2008 Loess Fit = -0.093 Date_of_death = Mar2008 Loess Fit = -0.098 Date_of_death = Mar2008 Loess Fit = -0.098 Date_of_death = Feb2008 Loess Fit = -0.104 Date_of_death = Feb2008 Loess Fit = -0.104 Date_of_death = Jan2008 Loess Fit = -0.11 Date_of_death = Jan2008 Loess Fit = -0.11 Date_of_death = Dec2007 Loess Fit = -0.116 Date_of_death = Dec2007 Loess Fit = -0.116 Date_of_death = Nov2007 Loess Fit = -0.121 Date_of_death = Nov2007 Loess Fit = -0.121 Date_of_death = Oct2007 Loess Fit = -0.126 Date_of_death = Oct2007 Loess Fit = -0.126 Date_of_death = Aug2007 Loess Fit = -0.131 Date_of_death = Aug2007 Loess Fit = -0.131 Date_of_death = Jul2007 Loess Fit = -0.136 Date_of_death = Jul2007 Loess Fit = -0.136 Date_of_death = Jun2007 Loess Fit = -0.141 Date_of_death = Jun2007 Loess Fit = -0.141 Date_of_death = May2007 Loess Fit = -0.146 Date_of_death = May2007 Loess Fit = -0.146 Date_of_death = Apr2007 Loess Fit = -0.151 Date_of_death = Apr2007 Loess Fit = -0.151 Date_of_death = Mar2007 Loess Fit = -0.156 Date_of_death = Mar2007 Loess Fit = -0.156 Date_of_death = Feb2007 Loess Fit = -0.161 Date_of_death = Feb2007 Loess Fit = -0.161 Date_of_death = Jan2007 Loess Fit = -0.166 Date_of_death = Jan2007 Loess Fit = -0.166 Date_of_death = Dec2006 Loess Fit = -0.171 Date_of_death = Dec2006 Loess Fit = -0.171 Date_of_death = Nov2006 Loess Fit = -0.175 Date_of_death = Nov2006 Loess Fit = -0.175 Date_of_death = Oct2006 Loess Fit = -0.18 Date_of_death = Oct2006 Loess Fit = -0.18 Date_of_death = Aug2006 Loess Fit = -0.185 Date_of_death = Aug2006 Loess Fit = -0.185 Date_of_death = Jul2006 Loess Fit = -0.19 Date_of_death = Jul2006 Loess Fit = -0.19 Date_of_death = Jun2006 Loess Fit = -0.195 Date_of_death = Jun2006 Loess Fit = -0.195 Date_of_death = May2006 Loess Fit = -0.2 Date_of_death = May2006 Loess Fit = -0.2 Date_of_death = Apr2006 Loess Fit = -0.205 Date_of_death = Apr2006 Loess Fit = -0.205 Date_of_death = Mar2006 Loess Fit = -0.21 Date_of_death = Mar2006 Loess Fit = -0.21 Date_of_death = Feb2006 Loess Fit = -0.215 Date_of_death = Feb2006 Loess Fit = -0.215 Date_of_death = Jan2006 Loess Fit = -0.22 Date_of_death = Jan2006 Loess Fit = -0.22 Date_of_death = Dec2005 Loess Fit = -0.224 Date_of_death = Dec2005 Loess Fit = -0.224 Date_of_death = Nov2005 Loess Fit = -0.229 Date_of_death = Nov2005 Loess Fit = -0.229 Date_of_death = Sep2005 Loess Fit = -0.234 Date_of_death = Sep2005 Loess Fit = -0.234 Date_of_death = Aug2005 Loess Fit = -0.239 Date_of_death = Aug2005 Loess Fit = -0.239 Date_of_death = Jul2005 Loess Fit = -0.244 Date_of_death = Jul2005 Loess Fit = -0.244 Date_of_death = Jun2005 Loess Fit = -0.249 Date_of_death = Jun2005 Loess Fit = -0.249 Date_of_death = May2005 Loess Fit = -0.254 Date_of_death = May2005 Loess Fit = -0.254 Date_of_death = Apr2005 Loess Fit = -0.259 Date_of_death = Apr2005 Loess Fit = -0.259 Date_of_death = Mar2005 Loess Fit = -0.264 Date_of_death = Mar2005 Loess Fit = -0.264 Date_of_death = Feb2005 Loess Fit = -0.269 Date_of_death = Feb2005 Loess Fit = -0.269 Date_of_death = Jan2005 Loess Fit = -0.274 Date_of_death = Jan2005 Loess Fit = -0.274 Date_of_death = Dec2004 Loess Fit = -0.279 Date_of_death = Dec2004 Loess Fit = -0.279 Date_of_death = Oct2004 Loess Fit = -0.284 Date_of_death = Oct2004 Loess Fit = -0.284 Date_of_death = Sep2004 Loess Fit = -0.289 Date_of_death = Sep2004 Loess Fit = -0.289 Date_of_death = Aug2004 Loess Fit = -0.294 Date_of_death = Aug2004 Loess Fit = -0.294 Date_of_death = Jul2004 Loess Fit = -0.299 Date_of_death = Jul2004 Loess Fit = -0.299 Date_of_death = Jun2004 Loess Fit = -0.304 Date_of_death = Jun2004 Loess Fit = -0.304 Date_of_death = May2004 Loess Fit = -0.309 Date_of_death = May2004 Loess Fit = -0.309 Date_of_death = Apr2004 Loess Fit = -0.314 Date_of_death = Apr2004 Loess Fit = -0.314 Date_of_death = Mar2004 Loess Fit = -0.319 Date_of_death = Mar2004 Loess Fit = -0.319 Date_of_death = Feb2004 Loess Fit = -0.324 Date_of_death = Feb2004 Loess Fit = -0.324 Date_of_death = Jan2004 Loess Fit = -0.329 Date_of_death = Jan2004 Loess Fit = -0.329 Date_of_death = Dec2003 Loess Fit = -0.334 Date_of_death = Dec2003 Loess Fit = -0.334 Date_of_death = Oct2003 Loess Fit = -0.339 Date_of_death = Oct2003 Loess Fit = -0.339 Date_of_death = Sep2003 Loess Fit = -0.344 Date_of_death = Sep2003 Loess Fit = -0.344 Date_of_death = Aug2003 Loess Fit = -0.349 Date_of_death = Aug2003 Loess Fit = -0.349 Date_of_death = Jul2003 Loess Fit = -0.354 Date_of_death = Jul2003 Loess Fit = -0.354 Date_of_death = Jun2003 Loess Fit = -0.359 Date_of_death = Jun2003 Loess Fit = -0.359 Date_of_death = May2003 Loess Fit = -0.364 Date_of_death = May2003 Loess Fit = -0.364 Date_of_death = Apr2003 Loess Fit = -0.369 Date_of_death = Apr2003 Loess Fit = -0.369 Date_of_death = Mar2003 Loess Fit = -0.374 Date_of_death = Mar2003 Loess Fit = -0.374 Date_of_death = Feb2003 Loess Fit = -0.378 Date_of_death = Feb2003 Loess Fit = -0.378 Date_of_death = Jan2003 Loess Fit = -0.383 Date_of_death = Jan2003 Loess Fit = -0.383 Date_of_death = Dec2002 Loess Fit = -0.388 Date_of_death = Dec2002 Loess Fit = -0.388 Date_of_death = Oct2002 Loess Fit = -0.393 Date_of_death = Oct2002 Loess Fit = -0.393 Date_of_death = Sep2002 Loess Fit = -0.398 Date_of_death = Sep2002 Loess Fit = -0.398 Date_of_death = Aug2002 Loess Fit = -0.403 Date_of_death = Aug2002 Loess Fit = -0.403 Date_of_death = Jul2002 Loess Fit = -0.408 Date_of_death = Jul2002 Loess Fit = -0.408 Date_of_death = Jun2002 Loess Fit = -0.412 Date_of_death = Jun2002 Loess Fit = -0.412 Date_of_death = May2002 Loess Fit = -0.417 Date_of_death = May2002 Loess Fit = -0.417 Date_of_death = Apr2002 Loess Fit = -0.422 Date_of_death = Apr2002 Loess Fit = -0.422 Date_of_death = Mar2002 Loess Fit = -0.427 Date_of_death = Mar2002 Loess Fit = -0.427 Date_of_death = Feb2002 Loess Fit = -0.432 Date_of_death = Feb2002 Loess Fit = -0.432 Date_of_death = Jan2002 Loess Fit = -0.437 Date_of_death = Jan2002 Loess Fit = -0.437 Date_of_death = Nov2001 Loess Fit = -0.441 Date_of_death = Nov2001 Loess Fit = -0.441 Date_of_death = Oct2001 Loess Fit = -0.446 Date_of_death = Oct2001 Loess Fit = -0.446 Date_of_death = Sep2001 Loess Fit = -0.451 Date_of_death = Sep2001 Loess Fit = -0.451 Date_of_death = Aug2001 Loess Fit = -0.456 Date_of_death = Aug2001 Loess Fit = -0.456 Date_of_death = Jul2001 Loess Fit = -0.461 Date_of_death = Jul2001 Loess Fit = -0.461 Date_of_death = Jun2001 Loess Fit = -0.466 Date_of_death = Jun2001 Loess Fit = -0.466 Date_of_death = May2001 Loess Fit = -0.471 Date_of_death = May2001 Loess Fit = -0.471 Date_of_death = Apr2001 Loess Fit = -0.475 Date_of_death = Apr2001 Loess Fit = -0.475 Date_of_death = Mar2001 Loess Fit = -0.48 Date_of_death = Mar2001 Loess Fit = -0.48 Date_of_death = Feb2001 Loess Fit = -0.485 Date_of_death = Feb2001 Loess Fit = -0.485 Date_of_death = Jan2001 Loess Fit = -0.49 Date_of_death = Apr2019 Prediction Error = -3.13 Date_of_death = Mar2019 Prediction Error = 1.2416 Date_of_death = Feb2019 Prediction Error = 1.1353 Date_of_death = Jan2019 Prediction Error = 1.2448 Date_of_death = Dec2018 Prediction Error = -2.697 Date_of_death = Nov2018 Prediction Error = 1.4229 Date_of_death = Oct2018 Prediction Error = 0.5009 Date_of_death = Sep2018 Prediction Error = 0.9903 Date_of_death = Aug2018 Prediction Error = 0.5137 Date_of_death = Jul2018 Prediction Error = 1.7025 Date_of_death = Jun2018 Prediction Error = 0.9694 Date_of_death = May2018 Prediction Error = 1.7151 Date_of_death = Apr2018 Prediction Error = 1.3908 Date_of_death = Mar2018 Prediction Error = 1.8081 Date_of_death = Feb2018 Prediction Error = 1.7221 Date_of_death = Jan2018 Prediction Error = -2.56 Date_of_death = Dec2017 Prediction Error = -2.489 Date_of_death = Nov2017 Prediction Error = 1.8923 Date_of_death = Oct2017 Prediction Error = 0.9363 Date_of_death = Sep2017 Prediction Error = 1.4756 Date_of_death = Aug2017 Prediction Error = -2.334 Date_of_death = Jul2017 Prediction Error = -2.32 Date_of_death = Jun2017 Prediction Error = -3.292 Date_of_death = May2017 Prediction Error = -2.709 Date_of_death = Apr2017 Prediction Error = 1.1673 Date_of_death = Mar2017 Prediction Error = 1.5925 Date_of_death = Feb2017 Prediction Error = 1.4839 Date_of_death = Jan2017 Prediction Error = 1.3705 Date_of_death = Dec2016 Prediction Error = -2.806 Date_of_death = Nov2016 Prediction Error = -1.499 Date_of_death = Oct2016 Prediction Error = 0.6559 Date_of_death = Sep2016 Prediction Error = -2.127 Date_of_death = Aug2016 Prediction Error = 1.4371 Date_of_death = Jul2016 Prediction Error = 1.6357 Date_of_death = Jun2016 Prediction Error = 0.7971 Date_of_death = May2016 Prediction Error = -2.83 Date_of_death = Apr2016 Prediction Error = -3.161 Date_of_death = Mar2016 Prediction Error = 1.5327 Date_of_death = Feb2016 Prediction Error = 1.4084 Date_of_death = Jan2016 Prediction Error = 1.2786 Date_of_death = Dec2015 Prediction Error = 1.2867 Date_of_death = Nov2015 Prediction Error = -2.7 Date_of_death = Oct2015 Prediction Error = 0.6624 Date_of_death = Sep2015 Prediction Error = 1.0423 Date_of_death = Aug2015 Prediction Error = 1.6497 Date_of_death = Jul2015 Prediction Error = -2.599 Date_of_death = Jun2015 Prediction Error = -2.582 Date_of_death = May2015 Prediction Error = 1.2049 Date_of_death = Apr2015 Prediction Error = 1.0516 Date_of_death = Mar2015 Prediction Error = 1.799 Date_of_death = Feb2015 Prediction Error = 1.6746 Date_of_death = Jan2015 Prediction Error = 1.545 Date_of_death = Dec2014 Prediction Error = -2.917 Date_of_death = Nov2014 Prediction Error = 1.582 Date_of_death = Oct2014 Prediction Error = 0.909 Date_of_death = Sep2014 Prediction Error = 1.3262 Date_of_death = Aug2014 Prediction Error = -1.376 Date_of_death = Jul2014 Prediction Error = 1.7753 Date_of_death = Jun2014 Prediction Error = 0.888 Date_of_death = May2014 Prediction Error = 1.7537 Date_of_death = Apr2014 Prediction Error = 1.6137 Date_of_death = Mar2014 Prediction Error = 2.4397 Date_of_death = Feb2014 Prediction Error = -2.153 Date_of_death = Jan2014 Prediction Error = 2.0117 Date_of_death = Dec2013 Prediction Error = 1.7382 Date_of_death = Nov2013 Prediction Error = 2.3054 Date_of_death = Oct2013 Prediction Error = 1.6122 Date_of_death = Sep2013 Prediction Error = 2.0945 Date_of_death = Aug2013 Prediction Error = -1.906 Date_of_death = Jul2013 Prediction Error = -1.908 Date_of_death = Jun2013 Prediction Error = 1.47 Date_of_death = May2013 Prediction Error = 1.3022 Date_of_death = Apr2013 Prediction Error = -1.126 Date_of_death = Mar2013 Prediction Error = -1.494 Date_of_death = Feb2013 Prediction Error = 2.3856 Date_of_death = Jan2013 Prediction Error = -1.925 Date_of_death = Dec2012 Prediction Error = -1.287 Date_of_death = Nov2012 Prediction Error = 0.3154 Date_of_death = Oct2012 Prediction Error = 1.7292 Date_of_death = Sep2012 Prediction Error = 2.2497 Date_of_death = Aug2012 Prediction Error = 0.1809 Date_of_death = Jul2012 Prediction Error = 2.5486 Date_of_death = Jun2012 Prediction Error = 1.8885 Date_of_death = May2012 Prediction Error = -0.544 Date_of_death = Apr2012 Prediction Error = -0.996 Date_of_death = Mar2012 Prediction Error = -1.382 Date_of_death = Feb2012 Prediction Error = -1.699 Date_of_death = Jan2012 Prediction Error = 2.5007 Date_of_death = Dec2011 Prediction Error = -2.278 Date_of_death = Nov2011 Prediction Error = 2.8517 Date_of_death = Oct2011 Prediction Error = -2.331 Date_of_death = Sep2011 Prediction Error = -0.813 Date_of_death = Aug2011 Prediction Error = -2.076 Date_of_death = Jul2011 Prediction Error = 2.6819 Date_of_death = Jun2011 Prediction Error = -1.465 Date_of_death = May2011 Prediction Error = 0.2819 Date_of_death = Apr2011 Prediction Error = 2.1071 Date_of_death = Mar2011 Prediction Error = -1.59 Date_of_death = Feb2011 Prediction Error = -0.799 Date_of_death = Jan2011 Prediction Error = 2.6881 Date_of_death = Dec2010 Prediction Error = -2.547 Date_of_death = Nov2010 Prediction Error = -1.503 Date_of_death = Oct2010 Prediction Error = 1.7796 Date_of_death = Sep2010 Prediction Error = -0.953 Date_of_death = Aug2010 Prediction Error = 2.2499 Date_of_death = Jul2010 Prediction Error = -1.505 Date_of_death = Jun2010 Prediction Error = 1.7779 Date_of_death = May2010 Prediction Error = -0.745 Date_of_death = Apr2010 Prediction Error = -2.232 Date_of_death = Mar2010 Prediction Error = -1.906 Date_of_death = Feb2010 Prediction Error = 2.4035 Date_of_death = Jan2010 Prediction Error = -1.66 Date_of_death = Dec2009 Prediction Error = 1.5813 Date_of_death = Nov2009 Prediction Error = -1.703 Date_of_death = Oct2009 Prediction Error = 1.9404 Date_of_death = Sep2009 Prediction Error = 2.3807 Date_of_death = Aug2009 Prediction Error = 2.6094 Date_of_death = Jul2009 Prediction Error = -0.396 Date_of_death = Jun2009 Prediction Error = -2.49 Date_of_death = May2009 Prediction Error = 2.6292 Date_of_death = Apr2009 Prediction Error = -2.347 Date_of_death = Mar2009 Prediction Error = -0.816 Date_of_death = Feb2009 Prediction Error = 0.549 Date_of_death = Jan2009 Prediction Error = 1.7428 Date_of_death = Dec2008 Prediction Error = -1.474 Date_of_death = Nov2008 Prediction Error = -0.613 Date_of_death = Oct2008 Prediction Error = -2.321 Date_of_death = Sep2008 Prediction Error = -0.846 Date_of_death = Aug2008 Prediction Error = 2.7754 Date_of_death = Jul2008 Prediction Error = 2.9032 Date_of_death = Jun2008 Prediction Error = 1.8656 Date_of_death = May2008 Prediction Error = -1.56 Date_of_death = Apr2008 Prediction Error = 2.0343 Date_of_death = Mar2008 Prediction Error = -1.906 Date_of_death = Feb2008 Prediction Error = -1.584 Date_of_death = Jan2008 Prediction Error = 0.8363 Date_of_death = Dec2007 Prediction Error = 1.8857 Date_of_death = Nov2007 Prediction Error = -1.74 Date_of_death = Oct2007 Prediction Error = -1.351 Date_of_death = Sep2007 Prediction Error = -0.798 Date_of_death = Aug2007 Prediction Error = -1.413 Date_of_death = Jul2007 Prediction Error = -0.269 Date_of_death = Jun2007 Prediction Error = 1.9618 Date_of_death = May2007 Prediction Error = -0.771 Date_of_death = Apr2007 Prediction Error = -2.575 Date_of_death = Mar2007 Prediction Error = -0.142 Date_of_death = Feb2007 Prediction Error = -0.881 Date_of_death = Jan2007 Prediction Error = 3.1104 Date_of_death = Dec2006 Prediction Error = 2.0579 Date_of_death = Nov2006 Prediction Error = -2.175 Date_of_death = Oct2006 Prediction Error = -0.515 Date_of_death = Sep2006 Prediction Error = 2.5956 Date_of_death = Aug2006 Prediction Error = -0.405 Date_of_death = Jul2006 Prediction Error = -1.445 Date_of_death = Jun2006 Prediction Error = -1.314 Date_of_death = May2006 Prediction Error = -2.219 Date_of_death = Apr2006 Prediction Error = -1.949 Date_of_death = Mar2006 Prediction Error = -1.496 Date_of_death = Feb2006 Prediction Error = 2.4404 Date_of_death = Jan2006 Prediction Error = -0.051 Date_of_death = Dec2005 Prediction Error = -2.696 Date_of_death = Nov2005 Prediction Error = 1.9847 Date_of_death = Oct2005 Prediction Error = -2.076 Date_of_death = Sep2005 Prediction Error = 2.8347 Date_of_death = Aug2005 Prediction Error = -2.024 Date_of_death = Jul2005 Prediction Error = -2.087 Date_of_death = Jun2005 Prediction Error = 1.7868 Date_of_death = May2005 Prediction Error = -2.906 Date_of_death = Apr2005 Prediction Error = 1.1444 Date_of_death = Mar2005 Prediction Error = 1.8201 Date_of_death = Feb2005 Prediction Error = 2.9384 Date_of_death = Jan2005 Prediction Error = -1.296 Date_of_death = Dec2004 Prediction Error = -0.818 Date_of_death = Nov2004 Prediction Error = 2.5284 Date_of_death = Oct2004 Prediction Error = -2.536 Date_of_death = Sep2004 Prediction Error = -1.572 Date_of_death = Aug2004 Prediction Error = 2.5233 Date_of_death = Jul2004 Prediction Error = 2.6244 Date_of_death = Jun2004 Prediction Error = -2.696 Date_of_death = May2004 Prediction Error = -3.546 Date_of_death = Apr2004 Prediction Error = 1.5164 Date_of_death = Mar2004 Prediction Error = -1.52 Date_of_death = Feb2004 Prediction Error = -1.56 Date_of_death = Jan2004 Prediction Error = -1.861 Date_of_death = Dec2003 Prediction Error = -2.699 Date_of_death = Nov2003 Prediction Error = -2.423 Date_of_death = Oct2003 Prediction Error = 0.2587 Date_of_death = Sep2003 Prediction Error = -2.469 Date_of_death = Aug2003 Prediction Error = -2.534 Date_of_death = Jul2003 Prediction Error = -2.604 Date_of_death = Jun2003 Prediction Error = -3.023 Date_of_death = May2003 Prediction Error = -0.025 Date_of_death = Apr2003 Prediction Error = 1.3458 Date_of_death = Mar2003 Prediction Error = 1.3859 Date_of_death = Feb2003 Prediction Error = -2.692 Date_of_death = Jan2003 Prediction Error = 2.377 Date_of_death = Dec2002 Prediction Error = 0.0524 Date_of_death = Nov2002 Prediction Error = -4.036 Date_of_death = Oct2002 Prediction Error = -0.04 Date_of_death = Sep2002 Prediction Error = -4.136 Date_of_death = Aug2002 Prediction Error = 1.8994 Date_of_death = Jul2002 Prediction Error = 1.9378 Date_of_death = Jun2002 Prediction Error = -0.067 Date_of_death = May2002 Prediction Error = -0.072 Date_of_death = Apr2002 Prediction Error = 1.9699 Date_of_death = Mar2002 Prediction Error = 2.0154 Date_of_death = Feb2002 Prediction Error = 2.0649 Date_of_death = Jan2002 Prediction Error = -2.491 Date_of_death = Dec2001 Prediction Error = 0.0059 Date_of_death = Nov2001 Prediction Error = 0.0072 Date_of_death = Oct2001 Prediction Error = 0.0085 Date_of_death = Sep2001 Prediction Error = 0.0099 Date_of_death = Aug2001 Prediction Error = -4.049 Date_of_death = Jul2001 Prediction Error = 4.0069 Date_of_death = Jun2001 Prediction Error = 0.0083 Date_of_death = May2001 Prediction Error = 0.0096 Date_of_death = Apr2001 Prediction Error = 4.0719 Date_of_death = Mar2001 Prediction Error = -3.982 Date_of_death = Feb2001 Prediction Error = -4.043 Date_of_death = Jan2001 Prediction Error = 3 Date_of_death = Apr2019 2*STD = 3.7137 -2*STD = -3.714 Date_of_death = Mar2019 2*STD = 3.7137 -2*STD = -3.714 Date_of_death = Mar2019 2*STD = 3.7137 -2*STD = -3.714 Date_of_death = Feb2019 2*STD = 3.7138 -2*STD = -3.714 Date_of_death = Feb2019 2*STD = 3.7138 -2*STD = -3.714 Date_of_death = Jan2019 2*STD = 3.7139 -2*STD = -3.714 Date_of_death = Jan2019 2*STD = 3.7139 -2*STD = -3.714 Date_of_death = Dec2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Dec2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Nov2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Nov2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Oct2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Oct2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Sep2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Sep2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Aug2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Aug2018 2*STD = 3.7182 -2*STD = -3.718 Date_of_death = Jul2018 2*STD = 3.7183 -2*STD = -3.718 Date_of_death = Jul2018 2*STD = 3.7183 -2*STD = -3.718 Date_of_death = Jun2018 2*STD = 3.7183 -2*STD = -3.718 Date_of_death = Jun2018 2*STD = 3.7183 -2*STD = -3.718 Date_of_death = May2018 2*STD = 3.7184 -2*STD = -3.718 Date_of_death = May2018 2*STD = 3.7184 -2*STD = -3.718 Date_of_death = Apr2018 2*STD = 3.7184 -2*STD = -3.718 Date_of_death = Apr2018 2*STD = 3.7184 -2*STD = -3.718 Date_of_death = Mar2018 2*STD = 3.7185 -2*STD = -3.718 Date_of_death = Mar2018 2*STD = 3.7185 -2*STD = -3.718 Date_of_death = Feb2018 2*STD = 3.7185 -2*STD = -3.719 Date_of_death = Feb2018 2*STD = 3.7185 -2*STD = -3.719 Date_of_death = Jan2018 2*STD = 3.7186 -2*STD = -3.719 Date_of_death = Jan2018 2*STD = 3.7186 -2*STD = -3.719 Date_of_death = Dec2017 2*STD = 3.7234 -2*STD = -3.723 Date_of_death = Dec2017 2*STD = 3.7234 -2*STD = -3.723 Date_of_death = Nov2017 2*STD = 3.7235 -2*STD = -3.723 Date_of_death = Nov2017 2*STD = 3.7235 -2*STD = -3.723 Date_of_death = Oct2017 2*STD = 3.7235 -2*STD = -3.723 Date_of_death = Oct2017 2*STD = 3.7235 -2*STD = -3.723 Date_of_death = Sep2017 2*STD = 3.7235 -2*STD = -3.723 Date_of_death = Sep2017 2*STD = 3.7235 -2*STD = -3.723 Date_of_death = Aug2017 2*STD = 3.7235 -2*STD = -3.724 Date_of_death = Aug2017 2*STD = 3.7235 -2*STD = -3.724 Date_of_death = Jul2017 2*STD = 3.7235 -2*STD = -3.724 Date_of_death = Jul2017 2*STD = 3.7235 -2*STD = -3.724 Date_of_death = Jun2017 2*STD = 3.7236 -2*STD = -3.724 Date_of_death = Jun2017 2*STD = 3.7236 -2*STD = -3.724 Date_of_death = May2017 2*STD = 3.7236 -2*STD = -3.724 Date_of_death = May2017 2*STD = 3.7236 -2*STD = -3.724 Date_of_death = Apr2017 2*STD = 3.7237 -2*STD = -3.724 Date_of_death = Apr2017 2*STD = 3.7237 -2*STD = -3.724 Date_of_death = Mar2017 2*STD = 3.7238 -2*STD = -3.724 Date_of_death = Mar2017 2*STD = 3.7238 -2*STD = -3.724 Date_of_death = Feb2017 2*STD = 3.7238 -2*STD = -3.724 Date_of_death = Feb2017 2*STD = 3.7238 -2*STD = -3.724 Date_of_death = Jan2017 2*STD = 3.7239 -2*STD = -3.724 Date_of_death = Jan2017 2*STD = 3.7239 -2*STD = -3.724 Date_of_death = Dec2016 2*STD = 3.7293 -2*STD = -3.729 Date_of_death = Dec2016 2*STD = 3.7293 -2*STD = -3.729 Date_of_death = Nov2016 2*STD = 3.7294 -2*STD = -3.729 Date_of_death = Nov2016 2*STD = 3.7294 -2*STD = -3.729 Date_of_death = Oct2016 2*STD = 3.7294 -2*STD = -3.729 Date_of_death = Oct2016 2*STD = 3.7294 -2*STD = -3.729 Date_of_death = Sep2016 2*STD = 3.7294 -2*STD = -3.729 Date_of_death = Sep2016 2*STD = 3.7294 -2*STD = -3.729 Date_of_death = Aug2016 2*STD = 3.7294 -2*STD = -3.729 Date_of_death = Aug2016 2*STD = 3.7294 -2*STD = -3.729 Date_of_death = Jul2016 2*STD = 3.7295 -2*STD = -3.729 Date_of_death = Jul2016 2*STD = 3.7295 -2*STD = -3.729 Date_of_death = Jun2016 2*STD = 3.7295 -2*STD = -3.73 Date_of_death = Jun2016 2*STD = 3.7295 -2*STD = -3.73 Date_of_death = May2016 2*STD = 3.7296 -2*STD = -3.73 Date_of_death = May2016 2*STD = 3.7296 -2*STD = -3.73 Date_of_death = Apr2016 2*STD = 3.7296 -2*STD = -3.73 Date_of_death = Apr2016 2*STD = 3.7296 -2*STD = -3.73 Date_of_death = Mar2016 2*STD = 3.7297 -2*STD = -3.73 Date_of_death = Mar2016 2*STD = 3.7297 -2*STD = -3.73 Date_of_death = Feb2016 2*STD = 3.7298 -2*STD = -3.73 Date_of_death = Feb2016 2*STD = 3.7298 -2*STD = -3.73 Date_of_death = Jan2016 2*STD = 3.7299 -2*STD = -3.73 Date_of_death = Jan2016 2*STD = 3.7299 -2*STD = -3.73 Date_of_death = Dec2015 2*STD = 3.736 -2*STD = -3.736 Date_of_death = Dec2015 2*STD = 3.736 -2*STD = -3.736 Date_of_death = Nov2015 2*STD = 3.736 -2*STD = -3.736 Date_of_death = Nov2015 2*STD = 3.736 -2*STD = -3.736 Date_of_death = Oct2015 2*STD = 3.7361 -2*STD = -3.736 Date_of_death = Oct2015 2*STD = 3.7361 -2*STD = -3.736 Date_of_death = Sep2015 2*STD = 3.7361 -2*STD = -3.736 Date_of_death = Sep2015 2*STD = 3.7361 -2*STD = -3.736 Date_of_death = Aug2015 2*STD = 3.7361 -2*STD = -3.736 Date_of_death = Aug2015 2*STD = 3.7361 -2*STD = -3.736 Date_of_death = Jul2015 2*STD = 3.7362 -2*STD = -3.736 Date_of_death = Jul2015 2*STD = 3.7362 -2*STD = -3.736 Date_of_death = Jun2015 2*STD = 3.7362 -2*STD = -3.736 Date_of_death = Jun2015 2*STD = 3.7362 -2*STD = -3.736 Date_of_death = May2015 2*STD = 3.7363 -2*STD = -3.736 Date_of_death = May2015 2*STD = 3.7363 -2*STD = -3.736 Date_of_death = Apr2015 2*STD = 3.7363 -2*STD = -3.736 Date_of_death = Apr2015 2*STD = 3.7363 -2*STD = -3.736 Date_of_death = Mar2015 2*STD = 3.7364 -2*STD = -3.736 Date_of_death = Mar2015 2*STD = 3.7364 -2*STD = -3.736 Date_of_death = Feb2015 2*STD = 3.7365 -2*STD = -3.737 Date_of_death = Feb2015 2*STD = 3.7365 -2*STD = -3.737 Date_of_death = Jan2015 2*STD = 3.7367 -2*STD = -3.737 Date_of_death = Jan2015 2*STD = 3.7367 -2*STD = -3.737 Date_of_death = Dec2014 2*STD = 3.7436 -2*STD = -3.744 Date_of_death = Dec2014 2*STD = 3.7436 -2*STD = -3.744 Date_of_death = Nov2014 2*STD = 3.7436 -2*STD = -3.744 Date_of_death = Nov2014 2*STD = 3.7436 -2*STD = -3.744 Date_of_death = Oct2014 2*STD = 3.7437 -2*STD = -3.744 Date_of_death = Oct2014 2*STD = 3.7437 -2*STD = -3.744 Date_of_death = Sep2014 2*STD = 3.7437 -2*STD = -3.744 Date_of_death = Sep2014 2*STD = 3.7437 -2*STD = -3.744 Date_of_death = Aug2014 2*STD = 3.7437 -2*STD = -3.744 Date_of_death = Aug2014 2*STD = 3.7437 -2*STD = -3.744 Date_of_death = Jul2014 2*STD = 3.7438 -2*STD = -3.744 Date_of_death = Jul2014 2*STD = 3.7438 -2*STD = -3.744 Date_of_death = Jun2014 2*STD = 3.7439 -2*STD = -3.744 Date_of_death = Jun2014 2*STD = 3.7439 -2*STD = -3.744 Date_of_death = May2014 2*STD = 3.7439 -2*STD = -3.744 Date_of_death = May2014 2*STD = 3.7439 -2*STD = -3.744 Date_of_death = Apr2014 2*STD = 3.744 -2*STD = -3.744 Date_of_death = Apr2014 2*STD = 3.744 -2*STD = -3.744 Date_of_death = Mar2014 2*STD = 3.7441 -2*STD = -3.744 Date_of_death = Mar2014 2*STD = 3.7441 -2*STD = -3.744 Date_of_death = Feb2014 2*STD = 3.7442 -2*STD = -3.744 Date_of_death = Feb2014 2*STD = 3.7442 -2*STD = -3.744 Date_of_death = Jan2014 2*STD = 3.7444 -2*STD = -3.744 Date_of_death = Jan2014 2*STD = 3.7444 -2*STD = -3.744 Date_of_death = Dec2013 2*STD = 3.7524 -2*STD = -3.752 Date_of_death = Dec2013 2*STD = 3.7524 -2*STD = -3.752 Date_of_death = Nov2013 2*STD = 3.7524 -2*STD = -3.752 Date_of_death = Nov2013 2*STD = 3.7524 -2*STD = -3.752 Date_of_death = Oct2013 2*STD = 3.7524 -2*STD = -3.752 Date_of_death = Oct2013 2*STD = 3.7524 -2*STD = -3.752 Date_of_death = Sep2013 2*STD = 3.7525 -2*STD = -3.752 Date_of_death = Sep2013 2*STD = 3.7525 -2*STD = -3.752 Date_of_death = Aug2013 2*STD = 3.7525 -2*STD = -3.753 Date_of_death = Aug2013 2*STD = 3.7525 -2*STD = -3.753 Date_of_death = Jul2013 2*STD = 3.7526 -2*STD = -3.753 Date_of_death = Jul2013 2*STD = 3.7526 -2*STD = -3.753 Date_of_death = Jun2013 2*STD = 3.7526 -2*STD = -3.753 Date_of_death = Jun2013 2*STD = 3.7526 -2*STD = -3.753 Date_of_death = May2013 2*STD = 3.7527 -2*STD = -3.753 Date_of_death = May2013 2*STD = 3.7527 -2*STD = -3.753 Date_of_death = Apr2013 2*STD = 3.7528 -2*STD = -3.753 Date_of_death = Apr2013 2*STD = 3.7528 -2*STD = -3.753 Date_of_death = Mar2013 2*STD = 3.7529 -2*STD = -3.753 Date_of_death = Mar2013 2*STD = 3.7529 -2*STD = -3.753 Date_of_death = Feb2013 2*STD = 3.7531 -2*STD = -3.753 Date_of_death = Feb2013 2*STD = 3.7531 -2*STD = -3.753 Date_of_death = Jan2013 2*STD = 3.7532 -2*STD = -3.753 Date_of_death = Jan2013 2*STD = 3.7532 -2*STD = -3.753 Date_of_death = Dec2012 2*STD = 3.7626 -2*STD = -3.763 Date_of_death = Dec2012 2*STD = 3.7626 -2*STD = -3.763 Date_of_death = Nov2012 2*STD = 3.7626 -2*STD = -3.763 Date_of_death = Nov2012 2*STD = 3.7626 -2*STD = -3.763 Date_of_death = Oct2012 2*STD = 3.7626 -2*STD = -3.763 Date_of_death = Oct2012 2*STD = 3.7626 -2*STD = -3.763 Date_of_death = Sep2012 2*STD = 3.7627 -2*STD = -3.763 Date_of_death = Sep2012 2*STD = 3.7627 -2*STD = -3.763 Date_of_death = Aug2012 2*STD = 3.7627 -2*STD = -3.763 Date_of_death = Aug2012 2*STD = 3.7627 -2*STD = -3.763 Date_of_death = Jul2012 2*STD = 3.7628 -2*STD = -3.763 Date_of_death = Jul2012 2*STD = 3.7628 -2*STD = -3.763 Date_of_death = Jun2012 2*STD = 3.7629 -2*STD = -3.763 Date_of_death = Jun2012 2*STD = 3.7629 -2*STD = -3.763 Date_of_death = May2012 2*STD = 3.763 -2*STD = -3.763 Date_of_death = May2012 2*STD = 3.763 -2*STD = -3.763 Date_of_death = Apr2012 2*STD = 3.7631 -2*STD = -3.763 Date_of_death = Apr2012 2*STD = 3.7631 -2*STD = -3.763 Date_of_death = Mar2012 2*STD = 3.7632 -2*STD = -3.763 Date_of_death = Mar2012 2*STD = 3.7632 -2*STD = -3.763 Date_of_death = Feb2012 2*STD = 3.7634 -2*STD = -3.763 Date_of_death = Feb2012 2*STD = 3.7634 -2*STD = -3.763 Date_of_death = Jan2012 2*STD = 3.7636 -2*STD = -3.764 Date_of_death = Jan2012 2*STD = 3.7636 -2*STD = -3.764 Date_of_death = Dec2011 2*STD = 3.7746 -2*STD = -3.775 Date_of_death = Dec2011 2*STD = 3.7746 -2*STD = -3.775 Date_of_death = Nov2011 2*STD = 3.7746 -2*STD = -3.775 Date_of_death = Nov2011 2*STD = 3.7746 -2*STD = -3.775 Date_of_death = Oct2011 2*STD = 3.7746 -2*STD = -3.775 Date_of_death = Oct2011 2*STD = 3.7746 -2*STD = -3.775 Date_of_death = Sep2011 2*STD = 3.7747 -2*STD = -3.775 Date_of_death = Sep2011 2*STD = 3.7747 -2*STD = -3.775 Date_of_death = Aug2011 2*STD = 3.7748 -2*STD = -3.775 Date_of_death = Aug2011 2*STD = 3.7748 -2*STD = -3.775 Date_of_death = Jul2011 2*STD = 3.7748 -2*STD = -3.775 Date_of_death = Jul2011 2*STD = 3.7748 -2*STD = -3.775 Date_of_death = Jun2011 2*STD = 3.7749 -2*STD = -3.775 Date_of_death = Jun2011 2*STD = 3.7749 -2*STD = -3.775 Date_of_death = May2011 2*STD = 3.775 -2*STD = -3.775 Date_of_death = May2011 2*STD = 3.775 -2*STD = -3.775 Date_of_death = Apr2011 2*STD = 3.7752 -2*STD = -3.775 Date_of_death = Apr2011 2*STD = 3.7752 -2*STD = -3.775 Date_of_death = Mar2011 2*STD = 3.7753 -2*STD = -3.775 Date_of_death = Mar2011 2*STD = 3.7753 -2*STD = -3.775 Date_of_death = Feb2011 2*STD = 3.7755 -2*STD = -3.776 Date_of_death = Feb2011 2*STD = 3.7755 -2*STD = -3.776 Date_of_death = Jan2011 2*STD = 3.7757 -2*STD = -3.776 Date_of_death = Jan2011 2*STD = 3.7757 -2*STD = -3.776 Date_of_death = Dec2010 2*STD = 3.7889 -2*STD = -3.789 Date_of_death = Dec2010 2*STD = 3.7889 -2*STD = -3.789 Date_of_death = Nov2010 2*STD = 3.7889 -2*STD = -3.789 Date_of_death = Nov2010 2*STD = 3.7889 -2*STD = -3.789 Date_of_death = Oct2010 2*STD = 3.789 -2*STD = -3.789 Date_of_death = Oct2010 2*STD = 3.789 -2*STD = -3.789 Date_of_death = Sep2010 2*STD = 3.789 -2*STD = -3.789 Date_of_death = Sep2010 2*STD = 3.789 -2*STD = -3.789 Date_of_death = Aug2010 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Aug2010 2*STD = 3.7891 -2*STD = -3.789 Date_of_death = Jul2010 2*STD = 3.7892 -2*STD = -3.789 Date_of_death = Jul2010 2*STD = 3.7892 -2*STD = -3.789 Date_of_death = Jun2010 2*STD = 3.7893 -2*STD = -3.789 Date_of_death = Jun2010 2*STD = 3.7893 -2*STD = -3.789 Date_of_death = May2010 2*STD = 3.7895 -2*STD = -3.789 Date_of_death = May2010 2*STD = 3.7895 -2*STD = -3.789 Date_of_death = Apr2010 2*STD = 3.7896 -2*STD = -3.79 Date_of_death = Apr2010 2*STD = 3.7896 -2*STD = -3.79 Date_of_death = Mar2010 2*STD = 3.7898 -2*STD = -3.79 Date_of_death = Mar2010 2*STD = 3.7898 -2*STD = -3.79 Date_of_death = Feb2010 2*STD = 3.79 -2*STD = -3.79 Date_of_death = Feb2010 2*STD = 3.79 -2*STD = -3.79 Date_of_death = Jan2010 2*STD = 3.7903 -2*STD = -3.79 Date_of_death = Jan2010 2*STD = 3.7903 -2*STD = -3.79 Date_of_death = Dec2009 2*STD = 3.8063 -2*STD = -3.806 Date_of_death = Dec2009 2*STD = 3.8063 -2*STD = -3.806 Date_of_death = Nov2009 2*STD = 3.8064 -2*STD = -3.806 Date_of_death = Nov2009 2*STD = 3.8064 -2*STD = -3.806 Date_of_death = Oct2009 2*STD = 3.8064 -2*STD = -3.806 Date_of_death = Oct2009 2*STD = 3.8064 -2*STD = -3.806 Date_of_death = Sep2009 2*STD = 3.8065 -2*STD = -3.807 Date_of_death = Sep2009 2*STD = 3.8065 -2*STD = -3.807 Date_of_death = Aug2009 2*STD = 3.8066 -2*STD = -3.807 Date_of_death = Aug2009 2*STD = 3.8066 -2*STD = -3.807 Date_of_death = Jul2009 2*STD = 3.8067 -2*STD = -3.807 Date_of_death = Jul2009 2*STD = 3.8067 -2*STD = -3.807 Date_of_death = Jun2009 2*STD = 3.8068 -2*STD = -3.807 Date_of_death = Jun2009 2*STD = 3.8068 -2*STD = -3.807 Date_of_death = May2009 2*STD = 3.807 -2*STD = -3.807 Date_of_death = May2009 2*STD = 3.807 -2*STD = -3.807 Date_of_death = Apr2009 2*STD = 3.8072 -2*STD = -3.807 Date_of_death = Apr2009 2*STD = 3.8072 -2*STD = -3.807 Date_of_death = Mar2009 2*STD = 3.8074 -2*STD = -3.807 Date_of_death = Mar2009 2*STD = 3.8074 -2*STD = -3.807 Date_of_death = Feb2009 2*STD = 3.8077 -2*STD = -3.808 Date_of_death = Feb2009 2*STD = 3.8077 -2*STD = -3.808 Date_of_death = Jan2009 2*STD = 3.808 -2*STD = -3.808 Date_of_death = Jan2009 2*STD = 3.808 -2*STD = -3.808 Date_of_death = Dec2008 2*STD = 3.828 -2*STD = -3.828 Date_of_death = Dec2008 2*STD = 3.828 -2*STD = -3.828 Date_of_death = Nov2008 2*STD = 3.828 -2*STD = -3.828 Date_of_death = Nov2008 2*STD = 3.828 -2*STD = -3.828 Date_of_death = Oct2008 2*STD = 3.8281 -2*STD = -3.828 Date_of_death = Oct2008 2*STD = 3.8281 -2*STD = -3.828 Date_of_death = Sep2008 2*STD = 3.8282 -2*STD = -3.828 Date_of_death = Sep2008 2*STD = 3.8282 -2*STD = -3.828 Date_of_death = Aug2008 2*STD = 3.8283 -2*STD = -3.828 Date_of_death = Aug2008 2*STD = 3.8283 -2*STD = -3.828 Date_of_death = Jul2008 2*STD = 3.8284 -2*STD = -3.828 Date_of_death = Jul2008 2*STD = 3.8284 -2*STD = -3.828 Date_of_death = Jun2008 2*STD = 3.8286 -2*STD = -3.829 Date_of_death = Jun2008 2*STD = 3.8286 -2*STD = -3.829 Date_of_death = May2008 2*STD = 3.8288 -2*STD = -3.829 Date_of_death = May2008 2*STD = 3.8288 -2*STD = -3.829 Date_of_death = Apr2008 2*STD = 3.829 -2*STD = -3.829 Date_of_death = Apr2008 2*STD = 3.829 -2*STD = -3.829 Date_of_death = Mar2008 2*STD = 3.8293 -2*STD = -3.829 Date_of_death = Mar2008 2*STD = 3.8293 -2*STD = -3.829 Date_of_death = Feb2008 2*STD = 3.8296 -2*STD = -3.83 Date_of_death = Feb2008 2*STD = 3.8296 -2*STD = -3.83 Date_of_death = Jan2008 2*STD = 3.83 -2*STD = -3.83 Date_of_death = Jan2008 2*STD = 3.83 -2*STD = -3.83 Date_of_death = Dec2007 2*STD = 3.8556 -2*STD = -3.856 Date_of_death = Dec2007 2*STD = 3.8556 -2*STD = -3.856 Date_of_death = Nov2007 2*STD = 3.8557 -2*STD = -3.856 Date_of_death = Nov2007 2*STD = 3.8557 -2*STD = -3.856 Date_of_death = Oct2007 2*STD = 3.8558 -2*STD = -3.856 Date_of_death = Oct2007 2*STD = 3.8558 -2*STD = -3.856 Date_of_death = Sep2007 2*STD = 3.8559 -2*STD = -3.856 Date_of_death = Sep2007 2*STD = 3.8559 -2*STD = -3.856 Date_of_death = Aug2007 2*STD = 3.856 -2*STD = -3.856 Date_of_death = Aug2007 2*STD = 3.856 -2*STD = -3.856 Date_of_death = Jul2007 2*STD = 3.8562 -2*STD = -3.856 Date_of_death = Jul2007 2*STD = 3.8562 -2*STD = -3.856 Date_of_death = Jun2007 2*STD = 3.8564 -2*STD = -3.856 Date_of_death = Jun2007 2*STD = 3.8564 -2*STD = -3.856 Date_of_death = May2007 2*STD = 3.8566 -2*STD = -3.857 Date_of_death = May2007 2*STD = 3.8566 -2*STD = -3.857 Date_of_death = Apr2007 2*STD = 3.8569 -2*STD = -3.857 Date_of_death = Apr2007 2*STD = 3.8569 -2*STD = -3.857 Date_of_death = Mar2007 2*STD = 3.8572 -2*STD = -3.857 Date_of_death = Mar2007 2*STD = 3.8572 -2*STD = -3.857 Date_of_death = Feb2007 2*STD = 3.8576 -2*STD = -3.858 Date_of_death = Feb2007 2*STD = 3.8576 -2*STD = -3.858 Date_of_death = Jan2007 2*STD = 3.858 -2*STD = -3.858 Date_of_death = Jan2007 2*STD = 3.858 -2*STD = -3.858 Date_of_death = Dec2006 2*STD = 3.8922 -2*STD = -3.892 Date_of_death = Dec2006 2*STD = 3.8922 -2*STD = -3.892 Date_of_death = Nov2006 2*STD = 3.8923 -2*STD = -3.892 Date_of_death = Nov2006 2*STD = 3.8923 -2*STD = -3.892 Date_of_death = Oct2006 2*STD = 3.8924 -2*STD = -3.892 Date_of_death = Oct2006 2*STD = 3.8924 -2*STD = -3.892 Date_of_death = Sep2006 2*STD = 3.8925 -2*STD = -3.893 Date_of_death = Sep2006 2*STD = 3.8925 -2*STD = -3.893 Date_of_death = Aug2006 2*STD = 3.8927 -2*STD = -3.893 Date_of_death = Aug2006 2*STD = 3.8927 -2*STD = -3.893 Date_of_death = Jul2006 2*STD = 3.8928 -2*STD = -3.893 Date_of_death = Jul2006 2*STD = 3.8928 -2*STD = -3.893 Date_of_death = Jun2006 2*STD = 3.8931 -2*STD = -3.893 Date_of_death = Jun2006 2*STD = 3.8931 -2*STD = -3.893 Date_of_death = May2006 2*STD = 3.8933 -2*STD = -3.893 Date_of_death = May2006 2*STD = 3.8933 -2*STD = -3.893 Date_of_death = Apr2006 2*STD = 3.8937 -2*STD = -3.894 Date_of_death = Apr2006 2*STD = 3.8937 -2*STD = -3.894 Date_of_death = Mar2006 2*STD = 3.8941 -2*STD = -3.894 Date_of_death = Mar2006 2*STD = 3.8941 -2*STD = -3.894 Date_of_death = Feb2006 2*STD = 3.8945 -2*STD = -3.895 Date_of_death = Feb2006 2*STD = 3.8945 -2*STD = -3.895 Date_of_death = Jan2006 2*STD = 3.8951 -2*STD = -3.895 Date_of_death = Jan2006 2*STD = 3.8951 -2*STD = -3.895 Date_of_death = Dec2005 2*STD = 3.9429 -2*STD = -3.943 Date_of_death = Dec2005 2*STD = 3.9429 -2*STD = -3.943 Date_of_death = Nov2005 2*STD = 3.943 -2*STD = -3.943 Date_of_death = Nov2005 2*STD = 3.943 -2*STD = -3.943 Date_of_death = Oct2005 2*STD = 3.9431 -2*STD = -3.943 Date_of_death = Oct2005 2*STD = 3.9431 -2*STD = -3.943 Date_of_death = Sep2005 2*STD = 3.9432 -2*STD = -3.943 Date_of_death = Sep2005 2*STD = 3.9432 -2*STD = -3.943 Date_of_death = Aug2005 2*STD = 3.9434 -2*STD = -3.943 Date_of_death = Aug2005 2*STD = 3.9434 -2*STD = -3.943 Date_of_death = Jul2005 2*STD = 3.9436 -2*STD = -3.944 Date_of_death = Jul2005 2*STD = 3.9436 -2*STD = -3.944 Date_of_death = Jun2005 2*STD = 3.9439 -2*STD = -3.944 Date_of_death = Jun2005 2*STD = 3.9439 -2*STD = -3.944 Date_of_death = May2005 2*STD = 3.9442 -2*STD = -3.944 Date_of_death = May2005 2*STD = 3.9442 -2*STD = -3.944 Date_of_death = Apr2005 2*STD = 3.9446 -2*STD = -3.945 Date_of_death = Apr2005 2*STD = 3.9446 -2*STD = -3.945 Date_of_death = Mar2005 2*STD = 3.945 -2*STD = -3.945 Date_of_death = Mar2005 2*STD = 3.945 -2*STD = -3.945 Date_of_death = Feb2005 2*STD = 3.9456 -2*STD = -3.946 Date_of_death = Feb2005 2*STD = 3.9456 -2*STD = -3.946 Date_of_death = Jan2005 2*STD = 3.9462 -2*STD = -3.946 Date_of_death = Jan2005 2*STD = 3.9462 -2*STD = -3.946 Date_of_death = Dec2004 2*STD = 4.018 -2*STD = -4.018 Date_of_death = Dec2004 2*STD = 4.018 -2*STD = -4.018 Date_of_death = Nov2004 2*STD = 4.0181 -2*STD = -4.018 Date_of_death = Nov2004 2*STD = 4.0181 -2*STD = -4.018 Date_of_death = Oct2004 2*STD = 4.0182 -2*STD = -4.018 Date_of_death = Oct2004 2*STD = 4.0182 -2*STD = -4.018 Date_of_death = Sep2004 2*STD = 4.0183 -2*STD = -4.018 Date_of_death = Sep2004 2*STD = 4.0183 -2*STD = -4.018 Date_of_death = Aug2004 2*STD = 4.0185 -2*STD = -4.019 Date_of_death = Aug2004 2*STD = 4.0185 -2*STD = -4.019 Date_of_death = Jul2004 2*STD = 4.0188 -2*STD = -4.019 Date_of_death = Jul2004 2*STD = 4.0188 -2*STD = -4.019 Date_of_death = Jun2004 2*STD = 4.019 -2*STD = -4.019 Date_of_death = Jun2004 2*STD = 4.019 -2*STD = -4.019 Date_of_death = May2004 2*STD = 4.0194 -2*STD = -4.019 Date_of_death = May2004 2*STD = 4.0194 -2*STD = -4.019 Date_of_death = Apr2004 2*STD = 4.0198 -2*STD = -4.02 Date_of_death = Apr2004 2*STD = 4.0198 -2*STD = -4.02 Date_of_death = Mar2004 2*STD = 4.0203 -2*STD = -4.02 Date_of_death = Mar2004 2*STD = 4.0203 -2*STD = -4.02 Date_of_death = Feb2004 2*STD = 4.0209 -2*STD = -4.021 Date_of_death = Feb2004 2*STD = 4.0209 -2*STD = -4.021 Date_of_death = Jan2004 2*STD = 4.0216 -2*STD = -4.022 Date_of_death = Jan2004 2*STD = 4.0216 -2*STD = -4.022 Date_of_death = Dec2003 2*STD = 4.141 -2*STD = -4.141 Date_of_death = Dec2003 2*STD = 4.141 -2*STD = -4.141 Date_of_death = Nov2003 2*STD = 4.1411 -2*STD = -4.141 Date_of_death = Nov2003 2*STD = 4.1411 -2*STD = -4.141 Date_of_death = Oct2003 2*STD = 4.1411 -2*STD = -4.141 Date_of_death = Oct2003 2*STD = 4.1411 -2*STD = -4.141 Date_of_death = Sep2003 2*STD = 4.1413 -2*STD = -4.141 Date_of_death = Sep2003 2*STD = 4.1413 -2*STD = -4.141 Date_of_death = Aug2003 2*STD = 4.1415 -2*STD = -4.141 Date_of_death = Aug2003 2*STD = 4.1415 -2*STD = -4.141 Date_of_death = Jul2003 2*STD = 4.1417 -2*STD = -4.142 Date_of_death = Jul2003 2*STD = 4.1417 -2*STD = -4.142 Date_of_death = Jun2003 2*STD = 4.142 -2*STD = -4.142 Date_of_death = Jun2003 2*STD = 4.142 -2*STD = -4.142 Date_of_death = May2003 2*STD = 4.1423 -2*STD = -4.142 Date_of_death = May2003 2*STD = 4.1423 -2*STD = -4.142 Date_of_death = Apr2003 2*STD = 4.1427 -2*STD = -4.143 Date_of_death = Apr2003 2*STD = 4.1427 -2*STD = -4.143 Date_of_death = Mar2003 2*STD = 4.1432 -2*STD = -4.143 Date_of_death = Mar2003 2*STD = 4.1432 -2*STD = -4.143 Date_of_death = Feb2003 2*STD = 4.1439 -2*STD = -4.144 Date_of_death = Feb2003 2*STD = 4.1439 -2*STD = -4.144 Date_of_death = Jan2003 2*STD = 4.1446 -2*STD = -4.145 Date_of_death = Jan2003 2*STD = 4.1446 -2*STD = -4.145 Date_of_death = Dec2002 2*STD = 4.3794 -2*STD = -4.379 Date_of_death = Dec2002 2*STD = 4.3794 -2*STD = -4.379 Date_of_death = Nov2002 2*STD = 4.3794 -2*STD = -4.379 Date_of_death = Nov2002 2*STD = 4.3794 -2*STD = -4.379 Date_of_death = Oct2002 2*STD = 4.3795 -2*STD = -4.38 Date_of_death = Oct2002 2*STD = 4.3795 -2*STD = -4.38 Date_of_death = Sep2002 2*STD = 4.3796 -2*STD = -4.38 Date_of_death = Sep2002 2*STD = 4.3796 -2*STD = -4.38 Date_of_death = Aug2002 2*STD = 4.3797 -2*STD = -4.38 Date_of_death = Aug2002 2*STD = 4.3797 -2*STD = -4.38 Date_of_death = Jul2002 2*STD = 4.3799 -2*STD = -4.38 Date_of_death = Jul2002 2*STD = 4.3799 -2*STD = -4.38 Date_of_death = Jun2002 2*STD = 4.3801 -2*STD = -4.38 Date_of_death = Jun2002 2*STD = 4.3801 -2*STD = -4.38 Date_of_death = May2002 2*STD = 4.3804 -2*STD = -4.38 Date_of_death = May2002 2*STD = 4.3804 -2*STD = -4.38 Date_of_death = Apr2002 2*STD = 4.3808 -2*STD = -4.381 Date_of_death = Apr2002 2*STD = 4.3808 -2*STD = -4.381 Date_of_death = Mar2002 2*STD = 4.3812 -2*STD = -4.381 Date_of_death = Mar2002 2*STD = 4.3812 -2*STD = -4.381 Date_of_death = Feb2002 2*STD = 4.3818 -2*STD = -4.382 Date_of_death = Feb2002 2*STD = 4.3818 -2*STD = -4.382 Date_of_death = Jan2002 2*STD = 4.3824 -2*STD = -4.382 Date_of_death = Jan2002 2*STD = 4.3824 -2*STD = -4.382 Date_of_death = Dec2001 2*STD = 5.0373 -2*STD = -5.037 Date_of_death = Dec2001 2*STD = 5.0373 -2*STD = -5.037 Date_of_death = Nov2001 2*STD = 5.0373 -2*STD = -5.037 Date_of_death = Nov2001 2*STD = 5.0373 -2*STD = -5.037 Date_of_death = Oct2001 2*STD = 5.0373 -2*STD = -5.037 Date_of_death = Oct2001 2*STD = 5.0373 -2*STD = -5.037 Date_of_death = Sep2001 2*STD = 5.0374 -2*STD = -5.037 Date_of_death = Sep2001 2*STD = 5.0374 -2*STD = -5.037 Date_of_death = Aug2001 2*STD = 5.0374 -2*STD = -5.037 Date_of_death = Aug2001 2*STD = 5.0374 -2*STD = -5.037 Date_of_death = Jul2001 2*STD = 5.0375 -2*STD = -5.037 Date_of_death = Jul2001 2*STD = 5.0375 -2*STD = -5.037 Date_of_death = Jun2001 2*STD = 5.0376 -2*STD = -5.038 Date_of_death = Jun2001 2*STD = 5.0376 -2*STD = -5.038 Date_of_death = May2001 2*STD = 5.0378 -2*STD = -5.038 Date_of_death = May2001 2*STD = 5.0378 -2*STD = -5.038 Date_of_death = Apr2001 2*STD = 5.038 -2*STD = -5.038 Date_of_death = Apr2001 2*STD = 5.038 -2*STD = -5.038 Date_of_death = Mar2001 2*STD = 5.0384 -2*STD = -5.038 Date_of_death = Mar2001 2*STD = 5.0384 -2*STD = -5.038 Date_of_death = Feb2001 2*STD = 5.0388 -2*STD = -5.039 Date_of_death = Feb2001 2*STD = 5.0388 -2*STD = -5.039 Date_of_death = Jan2001 2*STD = 5.0393 -2*STD = -5.039 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
233 MAY2019 3.618017 1.85681 -0.021270 7.257305
234 JUN2019 4.249396 1.85873 0.606356 7.892436
235 JUL2019 3.512356 1.86062 -0.134400 7.159112
236 AUG2019 3.564787 1.86250 -0.085651 7.215224
237 SEP2019 4.090905 1.86436 0.436823 7.744988
238 OCT2019 4.511758 1.86620 0.854066 8.169450
239 NOV2019 3.616824 1.86803 -0.044442 7.278090
240 DEC2019 3.458723 1.86983 -0.206082 7.123527
241 JAN2020 3.837875 1.86981 0.173106 7.502645
242 FEB2020 3.887684 1.87159 0.219436 7.555932
243 MAR2020 3.737496 1.87335 0.065802 7.409190
244 APR2020 3.837303 1.87509 0.162195 7.512411

Forecasts Only Plot

Date_of_death = Apr2020 Forecast = 3.8373 Date_of_death = Mar2020 Forecast = 3.7375 Date_of_death = Mar2020 Forecast = 3.7375 Date_of_death = Feb2020 Forecast = 3.8877 Date_of_death = Feb2020 Forecast = 3.8877 Date_of_death = Jan2020 Forecast = 3.8379 Date_of_death = Jan2020 Forecast = 3.8379 Date_of_death = Dec2019 Forecast = 3.4587 Date_of_death = Dec2019 Forecast = 3.4587 Date_of_death = Nov2019 Forecast = 3.6168 Date_of_death = Nov2019 Forecast = 3.6168 Date_of_death = Oct2019 Forecast = 4.5118 Date_of_death = Oct2019 Forecast = 4.5118 Date_of_death = Sep2019 Forecast = 4.0909 Date_of_death = Sep2019 Forecast = 4.0909 Date_of_death = Aug2019 Forecast = 3.5648 Date_of_death = Aug2019 Forecast = 3.5648 Date_of_death = Jul2019 Forecast = 3.5124 Date_of_death = Jul2019 Forecast = 3.5124 Date_of_death = Jun2019 Forecast = 4.2494 Date_of_death = Jun2019 Forecast = 4.2494 Date_of_death = May2019 Forecast = 3.6180 Date_of_death = Apr2020 Upper 95% = 7.5124 Lower 95% = 0.1622 Date_of_death = Mar2020 Upper 95% = 7.4092 Lower 95% = 0.0658 Date_of_death = Mar2020 Upper 95% = 7.4092 Lower 95% = 0.0658 Date_of_death = Feb2020 Upper 95% = 7.5559 Lower 95% = 0.2194 Date_of_death = Feb2020 Upper 95% = 7.5559 Lower 95% = 0.2194 Date_of_death = Jan2020 Upper 95% = 7.5026 Lower 95% = 0.1731 Date_of_death = Jan2020 Upper 95% = 7.5026 Lower 95% = 0.1731 Date_of_death = Dec2019 Upper 95% = 7.1235 Lower 95% = -0.2061 Date_of_death = Dec2019 Upper 95% = 7.1235 Lower 95% = -0.2061 Date_of_death = Nov2019 Upper 95% = 7.2781 Lower 95% = -0.0444 Date_of_death = Nov2019 Upper 95% = 7.2781 Lower 95% = -0.0444 Date_of_death = Oct2019 Upper 95% = 8.1694 Lower 95% = 0.8541 Date_of_death = Oct2019 Upper 95% = 8.1694 Lower 95% = 0.8541 Date_of_death = Sep2019 Upper 95% = 7.7450 Lower 95% = 0.4368 Date_of_death = Sep2019 Upper 95% = 7.7450 Lower 95% = 0.4368 Date_of_death = Aug2019 Upper 95% = 7.2152 Lower 95% = -0.0857 Date_of_death = Aug2019 Upper 95% = 7.2152 Lower 95% = -0.0857 Date_of_death = Jul2019 Upper 95% = 7.1591 Lower 95% = -0.1344 Date_of_death = Jul2019 Upper 95% = 7.1591 Lower 95% = -0.1344 Date_of_death = Jun2019 Upper 95% = 7.8924 Lower 95% = 0.6064 Date_of_death = Jun2019 Upper 95% = 7.8924 Lower 95% = 0.6064 Date_of_death = May2019 Upper 95% = 7.2573 Lower 95% = -0.0213
Forecast Only Plot

Forecasts Plot

X = 21640 Date_of_death = Apr2020 Forecast = 3.8373 Date_of_death = Mar2020 Forecast = 3.7375 Date_of_death = Mar2020 Forecast = 3.7375 Date_of_death = Feb2020 Forecast = 3.8877 Date_of_death = Feb2020 Forecast = 3.8877 Date_of_death = Jan2020 Forecast = 3.8379 Date_of_death = Jan2020 Forecast = 3.8379 Date_of_death = Dec2019 Forecast = 3.4587 Date_of_death = Dec2019 Forecast = 3.4587 Date_of_death = Nov2019 Forecast = 3.6168 Date_of_death = Nov2019 Forecast = 3.6168 Date_of_death = Oct2019 Forecast = 4.5118 Date_of_death = Oct2019 Forecast = 4.5118 Date_of_death = Sep2019 Forecast = 4.0909 Date_of_death = Sep2019 Forecast = 4.0909 Date_of_death = Aug2019 Forecast = 3.5648 Date_of_death = Aug2019 Forecast = 3.5648 Date_of_death = Jul2019 Forecast = 3.5124 Date_of_death = Jul2019 Forecast = 3.5124 Date_of_death = Jun2019 Forecast = 4.2494 Date_of_death = Jun2019 Forecast = 4.2494 Date_of_death = May2019 Forecast = 3.6180 Date_of_death = May2019 Forecast = 3.6180 Date_of_death = Apr2019 Forecast = 4.1303 Date_of_death = Apr2019 Forecast = 4.1303 Date_of_death = Mar2019 Forecast = 3.7584 Date_of_death = Mar2019 Forecast = 3.7584 Date_of_death = Feb2019 Forecast = 3.8647 Date_of_death = Feb2019 Forecast = 3.8647 Date_of_death = Jan2019 Forecast = 3.7552 Date_of_death = Jan2019 Forecast = 3.7552 Date_of_death = Dec2018 Forecast = 3.6968 Date_of_death = Dec2018 Forecast = 3.6968 Date_of_death = Nov2018 Forecast = 3.5771 Date_of_death = Nov2018 Forecast = 3.5771 Date_of_death = Oct2018 Forecast = 4.4991 Date_of_death = Oct2018 Forecast = 4.4991 Date_of_death = Sep2018 Forecast = 4.0097 Date_of_death = Sep2018 Forecast = 4.0097 Date_of_death = Aug2018 Forecast = 3.4863 Date_of_death = Aug2018 Forecast = 3.4863 Date_of_death = Jul2018 Forecast = 3.2975 Date_of_death = Jul2018 Forecast = 3.2975 Date_of_death = Jun2018 Forecast = 4.0306 Date_of_death = Jun2018 Forecast = 4.0306 Date_of_death = May2018 Forecast = 3.2849 Date_of_death = May2018 Forecast = 3.2849 Date_of_death = Apr2018 Forecast = 3.6092 Date_of_death = Apr2018 Forecast = 3.6092 Date_of_death = Mar2018 Forecast = 3.1919 Date_of_death = Mar2018 Forecast = 3.1919 Date_of_death = Feb2018 Forecast = 3.2779 Date_of_death = Feb2018 Forecast = 3.2779 Date_of_death = Jan2018 Forecast = 3.5596 Date_of_death = Jan2018 Forecast = 3.5596 Date_of_death = Dec2017 Forecast = 3.4887 Date_of_death = Dec2017 Forecast = 3.4887 Date_of_death = Nov2017 Forecast = 3.1077 Date_of_death = Nov2017 Forecast = 3.1077 Date_of_death = Oct2017 Forecast = 4.0637 Date_of_death = Oct2017 Forecast = 4.0637 Date_of_death = Sep2017 Forecast = 3.5244 Date_of_death = Sep2017 Forecast = 3.5244 Date_of_death = Aug2017 Forecast = 3.3340 Date_of_death = Aug2017 Forecast = 3.3340 Date_of_death = Jul2017 Forecast = 3.3201 Date_of_death = Jul2017 Forecast = 3.3201 Date_of_death = Jun2017 Forecast = 4.2920 Date_of_death = Jun2017 Forecast = 4.2920 Date_of_death = May2017 Forecast = 3.7089 Date_of_death = May2017 Forecast = 3.7089 Date_of_death = Apr2017 Forecast = 3.8327 Date_of_death = Apr2017 Forecast = 3.8327 Date_of_death = Mar2017 Forecast = 3.4075 Date_of_death = Mar2017 Forecast = 3.4075 Date_of_death = Feb2017 Forecast = 3.5161 Date_of_death = Feb2017 Forecast = 3.5161 Date_of_death = Jan2017 Forecast = 3.6295 Date_of_death = Jan2017 Forecast = 3.6295 Date_of_death = Dec2016 Forecast = 3.8064 Date_of_death = Dec2016 Forecast = 3.8064 Date_of_death = Nov2016 Forecast = 3.4986 Date_of_death = Nov2016 Forecast = 3.4986 Date_of_death = Oct2016 Forecast = 4.3441 Date_of_death = Oct2016 Forecast = 4.3441 Date_of_death = Sep2016 Forecast = 4.1273 Date_of_death = Sep2016 Forecast = 4.1273 Date_of_death = Aug2016 Forecast = 3.5629 Date_of_death = Aug2016 Forecast = 3.5629 Date_of_death = Jul2016 Forecast = 3.3643 Date_of_death = Jul2016 Forecast = 3.3643 Date_of_death = Jun2016 Forecast = 4.2029 Date_of_death = Jun2016 Forecast = 4.2029 Date_of_death = May2016 Forecast = 3.8301 Date_of_death = May2016 Forecast = 3.8301 Date_of_death = Apr2016 Forecast = 4.1606 Date_of_death = Apr2016 Forecast = 4.1606 Date_of_death = Mar2016 Forecast = 3.4673 Date_of_death = Mar2016 Forecast = 3.4673 Date_of_death = Feb2016 Forecast = 3.5916 Date_of_death = Feb2016 Forecast = 3.5916 Date_of_death = Jan2016 Forecast = 3.7214 Date_of_death = Jan2016 Forecast = 3.7214 Date_of_death = Dec2015 Forecast = 3.7133 Date_of_death = Dec2015 Forecast = 3.7133 Date_of_death = Nov2015 Forecast = 3.7003 Date_of_death = Nov2015 Forecast = 3.7003 Date_of_death = Oct2015 Forecast = 4.3376 Date_of_death = Oct2015 Forecast = 4.3376 Date_of_death = Sep2015 Forecast = 3.9577 Date_of_death = Sep2015 Forecast = 3.9577 Date_of_death = Aug2015 Forecast = 3.3503 Date_of_death = Aug2015 Forecast = 3.3503 Date_of_death = Jul2015 Forecast = 3.5994 Date_of_death = Jul2015 Forecast = 3.5994 Date_of_death = Jun2015 Forecast = 4.5818 Date_of_death = Jun2015 Forecast = 4.5818 Date_of_death = May2015 Forecast = 3.7951 Date_of_death = May2015 Forecast = 3.7951 Date_of_death = Apr2015 Forecast = 3.9484 Date_of_death = Apr2015 Forecast = 3.9484 Date_of_death = Mar2015 Forecast = 3.2010 Date_of_death = Mar2015 Forecast = 3.2010 Date_of_death = Feb2015 Forecast = 3.3254 Date_of_death = Feb2015 Forecast = 3.3254 Date_of_death = Jan2015 Forecast = 3.4550 Date_of_death = Jan2015 Forecast = 3.4550 Date_of_death = Dec2014 Forecast = 3.9173 Date_of_death = Dec2014 Forecast = 3.9173 Date_of_death = Nov2014 Forecast = 3.4180 Date_of_death = Nov2014 Forecast = 3.4180 Date_of_death = Oct2014 Forecast = 4.0910 Date_of_death = Oct2014 Forecast = 4.0910 Date_of_death = Sep2014 Forecast = 3.6738 Date_of_death = Sep2014 Forecast = 3.6738 Date_of_death = Aug2014 Forecast = 3.3762 Date_of_death = Aug2014 Forecast = 3.3762 Date_of_death = Jul2014 Forecast = 3.2247 Date_of_death = Jul2014 Forecast = 3.2247 Date_of_death = Jun2014 Forecast = 4.1120 Date_of_death = Jun2014 Forecast = 4.1120 Date_of_death = May2014 Forecast = 3.2463 Date_of_death = May2014 Forecast = 3.2463 Date_of_death = Apr2014 Forecast = 3.3863 Date_of_death = Apr2014 Forecast = 3.3863 Date_of_death = Mar2014 Forecast = 2.5603 Date_of_death = Mar2014 Forecast = 2.5603 Date_of_death = Feb2014 Forecast = 3.1527 Date_of_death = Feb2014 Forecast = 3.1527 Date_of_death = Jan2014 Forecast = 2.9883 Date_of_death = Jan2014 Forecast = 2.9883 Date_of_death = Dec2013 Forecast = 3.2618 Date_of_death = Dec2013 Forecast = 3.2618 Date_of_death = Nov2013 Forecast = 2.6946 Date_of_death = Nov2013 Forecast = 2.6946 Date_of_death = Oct2013 Forecast = 3.3878 Date_of_death = Oct2013 Forecast = 3.3878 Date_of_death = Sep2013 Forecast = 2.9055 Date_of_death = Sep2013 Forecast = 2.9055 Date_of_death = Aug2013 Forecast = 2.9062 Date_of_death = Aug2013 Forecast = 2.9062 Date_of_death = Jul2013 Forecast = 2.9075 Date_of_death = Jul2013 Forecast = 2.9075 Date_of_death = Jun2013 Forecast = 3.5300 Date_of_death = Jun2013 Forecast = 3.5300 Date_of_death = May2013 Forecast = 2.6978 Date_of_death = May2013 Forecast = 2.6978 Date_of_death = Apr2013 Forecast = 3.1262 Date_of_death = Apr2013 Forecast = 3.1262 Date_of_death = Mar2013 Forecast = 2.4943 Date_of_death = Mar2013 Forecast = 2.4943 Date_of_death = Feb2013 Forecast = 2.6144 Date_of_death = Feb2013 Forecast = 2.6144 Date_of_death = Jan2013 Forecast = 2.9246 Date_of_death = Jan2013 Forecast = 2.9246 Date_of_death = Dec2012 Forecast = 3.2869 Date_of_death = Dec2012 Forecast = 3.2869 Date_of_death = Nov2012 Forecast = 2.6846 Date_of_death = Nov2012 Forecast = 2.6846 Date_of_death = Oct2012 Forecast = 3.2708 Date_of_death = Oct2012 Forecast = 3.2708 Date_of_death = Sep2012 Forecast = 2.7503 Date_of_death = Sep2012 Forecast = 2.7503 Date_of_death = Aug2012 Forecast = 2.8191 Date_of_death = Aug2012 Forecast = 2.8191 Date_of_death = Jul2012 Forecast = 2.4514 Date_of_death = Jul2012 Forecast = 2.4514 Date_of_death = Jun2012 Forecast = 3.1115 Date_of_death = Jun2012 Forecast = 3.1115 Date_of_death = May2012 Forecast = 2.5437 Date_of_death = May2012 Forecast = 2.5437 Date_of_death = Apr2012 Forecast = 2.9958 Date_of_death = Apr2012 Forecast = 2.9958 Date_of_death = Mar2012 Forecast = 2.3819 Date_of_death = Mar2012 Forecast = 2.3819 Date_of_death = Feb2012 Forecast = 2.6992 Date_of_death = Feb2012 Forecast = 2.6992 Date_of_death = Jan2012 Forecast = 2.4993 Date_of_death = Jan2012 Forecast = 2.4993 Date_of_death = Dec2011 Forecast = 3.2780 Date_of_death = Dec2011 Forecast = 3.2780 Date_of_death = Nov2011 Forecast = 2.1483 Date_of_death = Nov2011 Forecast = 2.1483 Date_of_death = Oct2011 Forecast = 3.3308 Date_of_death = Oct2011 Forecast = 3.3308 Date_of_death = Sep2011 Forecast = 2.8126 Date_of_death = Sep2011 Forecast = 2.8126 Date_of_death = Aug2011 Forecast = 3.0763 Date_of_death = Aug2011 Forecast = 3.0763 Date_of_death = Jul2011 Forecast = 2.3181 Date_of_death = Jul2011 Forecast = 2.3181 Date_of_death = Jun2011 Forecast = 3.4645 Date_of_death = Jun2011 Forecast = 3.4645 Date_of_death = May2011 Forecast = 2.7181 Date_of_death = May2011 Forecast = 2.7181 Date_of_death = Apr2011 Forecast = 2.8929 Date_of_death = Apr2011 Forecast = 2.8929 Date_of_death = Mar2011 Forecast = 2.5901 Date_of_death = Mar2011 Forecast = 2.5901 Date_of_death = Feb2011 Forecast = 2.7993 Date_of_death = Feb2011 Forecast = 2.7993 Date_of_death = Jan2011 Forecast = 2.3119 Date_of_death = Jan2011 Forecast = 2.3119 Date_of_death = Dec2010 Forecast = 3.5472 Date_of_death = Dec2010 Forecast = 3.5472 Date_of_death = Nov2010 Forecast = 2.5027 Date_of_death = Nov2010 Forecast = 2.5027 Date_of_death = Oct2010 Forecast = 3.2204 Date_of_death = Oct2010 Forecast = 3.2204 Date_of_death = Sep2010 Forecast = 2.9527 Date_of_death = Sep2010 Forecast = 2.9527 Date_of_death = Aug2010 Forecast = 2.7501 Date_of_death = Aug2010 Forecast = 2.7501 Date_of_death = Jul2010 Forecast = 2.5053 Date_of_death = Jul2010 Forecast = 2.5053 Date_of_death = Jun2010 Forecast = 3.2221 Date_of_death = Jun2010 Forecast = 3.2221 Date_of_death = May2010 Forecast = 2.7452 Date_of_death = May2010 Forecast = 2.7452 Date_of_death = Apr2010 Forecast = 3.2319 Date_of_death = Apr2010 Forecast = 3.2319 Date_of_death = Mar2010 Forecast = 2.9057 Date_of_death = Mar2010 Forecast = 2.9057 Date_of_death = Feb2010 Forecast = 2.5965 Date_of_death = Feb2010 Forecast = 2.5965 Date_of_death = Jan2010 Forecast = 2.6601 Date_of_death = Jan2010 Forecast = 2.6601 Date_of_death = Dec2009 Forecast = 3.4187 Date_of_death = Dec2009 Forecast = 3.4187 Date_of_death = Nov2009 Forecast = 2.7030 Date_of_death = Nov2009 Forecast = 2.7030 Date_of_death = Oct2009 Forecast = 3.0596 Date_of_death = Oct2009 Forecast = 3.0596 Date_of_death = Sep2009 Forecast = 2.6193 Date_of_death = Sep2009 Forecast = 2.6193 Date_of_death = Aug2009 Forecast = 2.3906 Date_of_death = Aug2009 Forecast = 2.3906 Date_of_death = Jul2009 Forecast = 2.3965 Date_of_death = Jul2009 Forecast = 2.3965 Date_of_death = Jun2009 Forecast = 3.4896 Date_of_death = Jun2009 Forecast = 3.4896 Date_of_death = May2009 Forecast = 2.3708 Date_of_death = May2009 Forecast = 2.3708 Date_of_death = Apr2009 Forecast = 3.3472 Date_of_death = Apr2009 Forecast = 3.3472 Date_of_death = Mar2009 Forecast = 2.8165 Date_of_death = Mar2009 Forecast = 2.8165 Date_of_death = Feb2009 Forecast = 2.4510 Date_of_death = Feb2009 Forecast = 2.4510 Date_of_death = Jan2009 Forecast = 2.2572 Date_of_death = Jan2009 Forecast = 2.2572 Date_of_death = Dec2008 Forecast = 3.4735 Date_of_death = Dec2008 Forecast = 3.4735 Date_of_death = Nov2008 Forecast = 2.6126 Date_of_death = Nov2008 Forecast = 2.6126 Date_of_death = Oct2008 Forecast = 3.3209 Date_of_death = Oct2008 Forecast = 3.3209 Date_of_death = Sep2008 Forecast = 2.8457 Date_of_death = Sep2008 Forecast = 2.8457 Date_of_death = Aug2008 Forecast = 2.2246 Date_of_death = Aug2008 Forecast = 2.2246 Date_of_death = Jul2008 Forecast = 2.0968 Date_of_death = Jul2008 Forecast = 2.0968 Date_of_death = Jun2008 Forecast = 3.1344 Date_of_death = Jun2008 Forecast = 3.1344 Date_of_death = May2008 Forecast = 2.5604 Date_of_death = May2008 Forecast = 2.5604 Date_of_death = Apr2008 Forecast = 2.9657 Date_of_death = Apr2008 Forecast = 2.9657 Date_of_death = Mar2008 Forecast = 2.9059 Date_of_death = Mar2008 Forecast = 2.9059 Date_of_death = Feb2008 Forecast = 2.5842 Date_of_death = Feb2008 Forecast = 2.5842 Date_of_death = Jan2008 Forecast = 2.1637 Date_of_death = Jan2008 Forecast = 2.1637 Date_of_death = Dec2007 Forecast = 3.1143 Date_of_death = Dec2007 Forecast = 3.1143 Date_of_death = Nov2007 Forecast = 2.7396 Date_of_death = Nov2007 Forecast = 2.7396 Date_of_death = Oct2007 Forecast = 3.3507 Date_of_death = Oct2007 Forecast = 3.3507 Date_of_death = Sep2007 Forecast = 2.7981 Date_of_death = Sep2007 Forecast = 2.7981 Date_of_death = Aug2007 Forecast = 2.4129 Date_of_death = Aug2007 Forecast = 2.4129 Date_of_death = Jul2007 Forecast = 2.2694 Date_of_death = Jul2007 Forecast = 2.2694 Date_of_death = Jun2007 Forecast = 3.0382 Date_of_death = Jun2007 Forecast = 3.0382 Date_of_death = May2007 Forecast = 2.7708 Date_of_death = May2007 Forecast = 2.7708 Date_of_death = Apr2007 Forecast = 3.5753 Date_of_death = Apr2007 Forecast = 3.5753 Date_of_death = Mar2007 Forecast = 3.1421 Date_of_death = Mar2007 Forecast = 3.1421 Date_of_death = Feb2007 Forecast = 2.8814 Date_of_death = Feb2007 Forecast = 2.8814 Date_of_death = Jan2007 Forecast = 1.8896 Date_of_death = Jan2007 Forecast = 1.8896 Date_of_death = Dec2006 Forecast = 2.9421 Date_of_death = Dec2006 Forecast = 2.9421 Date_of_death = Nov2006 Forecast = 3.1754 Date_of_death = Nov2006 Forecast = 3.1754 Date_of_death = Oct2006 Forecast = 3.5147 Date_of_death = Oct2006 Forecast = 3.5147 Date_of_death = Sep2006 Forecast = 2.4044 Date_of_death = Sep2006 Forecast = 2.4044 Date_of_death = Aug2006 Forecast = 2.4050 Date_of_death = Aug2006 Forecast = 2.4050 Date_of_death = Jul2006 Forecast = 2.4450 Date_of_death = Jul2006 Forecast = 2.4450 Date_of_death = Jun2006 Forecast = 3.3144 Date_of_death = Jun2006 Forecast = 3.3144 Date_of_death = May2006 Forecast = 3.2192 Date_of_death = May2006 Forecast = 3.2192 Date_of_death = Apr2006 Forecast = 3.9487 Date_of_death = Apr2006 Forecast = 3.9487 Date_of_death = Mar2006 Forecast = 3.4959 Date_of_death = Mar2006 Forecast = 3.4959 Date_of_death = Feb2006 Forecast = 2.5596 Date_of_death = Feb2006 Forecast = 2.5596 Date_of_death = Jan2006 Forecast = 2.0510 Date_of_death = Jan2006 Forecast = 2.0510 Date_of_death = Dec2005 Forecast = 3.6960 Date_of_death = Dec2005 Forecast = 3.6960 Date_of_death = Nov2005 Forecast = 3.0153 Date_of_death = Nov2005 Forecast = 3.0153 Date_of_death = Oct2005 Forecast = 4.0762 Date_of_death = Oct2005 Forecast = 4.0762 Date_of_death = Sep2005 Forecast = 2.1653 Date_of_death = Sep2005 Forecast = 2.1653 Date_of_death = Aug2005 Forecast = 3.0241 Date_of_death = Aug2005 Forecast = 3.0241 Date_of_death = Jul2005 Forecast = 3.0867 Date_of_death = Jul2005 Forecast = 3.0867 Date_of_death = Jun2005 Forecast = 3.2132 Date_of_death = Jun2005 Forecast = 3.2132 Date_of_death = May2005 Forecast = 3.9059 Date_of_death = May2005 Forecast = 3.9059 Date_of_death = Apr2005 Forecast = 3.8556 Date_of_death = Apr2005 Forecast = 3.8556 Date_of_death = Mar2005 Forecast = 3.1799 Date_of_death = Mar2005 Forecast = 3.1799 Date_of_death = Feb2005 Forecast = 2.0616 Date_of_death = Feb2005 Forecast = 2.0616 Date_of_death = Jan2005 Forecast = 2.2956 Date_of_death = Jan2005 Forecast = 2.2956 Date_of_death = Dec2004 Forecast = 3.8180 Date_of_death = Dec2004 Forecast = 3.8180 Date_of_death = Nov2004 Forecast = 2.4716 Date_of_death = Nov2004 Forecast = 2.4716 Date_of_death = Oct2004 Forecast = 4.5363 Date_of_death = Oct2004 Forecast = 4.5363 Date_of_death = Sep2004 Forecast = 2.5721 Date_of_death = Sep2004 Forecast = 2.5721 Date_of_death = Aug2004 Forecast = 2.4767 Date_of_death = Aug2004 Forecast = 2.4767 Date_of_death = Jul2004 Forecast = 2.3756 Date_of_death = Jul2004 Forecast = 2.3756 Date_of_death = Jun2004 Forecast = 3.6957 Date_of_death = Jun2004 Forecast = 3.6957 Date_of_death = May2004 Forecast = 4.5463 Date_of_death = May2004 Forecast = 4.5463 Date_of_death = Apr2004 Forecast = 3.4836 Date_of_death = Apr2004 Forecast = 3.4836 Date_of_death = Mar2004 Forecast = 3.5201 Date_of_death = Mar2004 Forecast = 3.5201 Date_of_death = Feb2004 Forecast = 2.5597 Date_of_death = Feb2004 Forecast = 2.5597 Date_of_death = Jan2004 Forecast = 2.8615 Date_of_death = Jan2004 Forecast = 2.8615 Date_of_death = Dec2003 Forecast = 4.6993 Date_of_death = Dec2003 Forecast = 4.6993 Date_of_death = Nov2003 Forecast = 3.4235 Date_of_death = Nov2003 Forecast = 3.4235 Date_of_death = Oct2003 Forecast = 4.7413 Date_of_death = Oct2003 Forecast = 4.7413 Date_of_death = Sep2003 Forecast = 3.4691 Date_of_death = Sep2003 Forecast = 3.4691 Date_of_death = Aug2003 Forecast = 3.5344 Date_of_death = Aug2003 Forecast = 3.5344 Date_of_death = Jul2003 Forecast = 3.6045 Date_of_death = Jul2003 Forecast = 3.6045 Date_of_death = Jun2003 Forecast = 5.0225 Date_of_death = Jun2003 Forecast = 5.0225 Date_of_death = May2003 Forecast = 5.0248 Date_of_death = May2003 Forecast = 5.0248 Date_of_death = Apr2003 Forecast = 3.6542 Date_of_death = Apr2003 Forecast = 3.6542 Date_of_death = Mar2003 Forecast = 3.6141 Date_of_death = Mar2003 Forecast = 3.6141 Date_of_death = Feb2003 Forecast = 3.6921 Date_of_death = Feb2003 Forecast = 3.6921 Date_of_death = Jan2003 Forecast = 2.6230 Date_of_death = Jan2003 Forecast = 2.6230 Date_of_death = Dec2002 Forecast = 4.9476 Date_of_death = Dec2002 Forecast = 4.9476 Date_of_death = Nov2002 Forecast = 5.0365 Date_of_death = Nov2002 Forecast = 5.0365 Date_of_death = Oct2002 Forecast = 5.0403 Date_of_death = Oct2002 Forecast = 5.0403 Date_of_death = Sep2002 Forecast = 5.1360 Date_of_death = Sep2002 Forecast = 5.1360 Date_of_death = Aug2002 Forecast = 3.1006 Date_of_death = Aug2002 Forecast = 3.1006 Date_of_death = Jul2002 Forecast = 3.0622 Date_of_death = Jul2002 Forecast = 3.0622 Date_of_death = Jun2002 Forecast = 5.0670 Date_of_death = Jun2002 Forecast = 5.0670 Date_of_death = May2002 Forecast = 5.0719 Date_of_death = May2002 Forecast = 5.0719 Date_of_death = Apr2002 Forecast = 3.0301 Date_of_death = Apr2002 Forecast = 3.0301 Date_of_death = Mar2002 Forecast = 2.9846 Date_of_death = Mar2002 Forecast = 2.9846 Date_of_death = Feb2002 Forecast = 2.9351 Date_of_death = Feb2002 Forecast = 2.9351 Date_of_death = Jan2002 Forecast = 3.4906 Date_of_death = Jan2002 Forecast = 3.4906 Date_of_death = Dec2001 Forecast = 4.9941 Date_of_death = Dec2001 Forecast = 4.9941 Date_of_death = Nov2001 Forecast = 4.9928 Date_of_death = Nov2001 Forecast = 4.9928 Date_of_death = Oct2001 Forecast = 4.9915 Date_of_death = Oct2001 Forecast = 4.9915 Date_of_death = Sep2001 Forecast = 4.9901 Date_of_death = Sep2001 Forecast = 4.9901 Date_of_death = Aug2001 Forecast = 5.0487 Date_of_death = Aug2001 Forecast = 5.0487 Date_of_death = Jul2001 Forecast = 0.9931 Date_of_death = Jul2001 Forecast = 0.9931 Date_of_death = Jun2001 Forecast = 4.9917 Date_of_death = Jun2001 Forecast = 4.9917 Date_of_death = May2001 Forecast = 4.9904 Date_of_death = May2001 Forecast = 4.9904 Date_of_death = Apr2001 Forecast = 0.9281 Date_of_death = Apr2001 Forecast = 0.9281 Date_of_death = Mar2001 Forecast = 4.9821 Date_of_death = Mar2001 Forecast = 4.9821 Date_of_death = Feb2001 Forecast = 5.0426 Date_of_death = Feb2001 Forecast = 5.0426 Date_of_death = Jan2001 Forecast = 2.0000 Date_of_death = Apr2019 incidents = 1.0000 Date_of_death = Mar2019 incidents = 5.0000 Date_of_death = Feb2019 incidents = 5.0000 Date_of_death = Jan2019 incidents = 5.0000 Date_of_death = Dec2018 incidents = 1.0000 Date_of_death = Nov2018 incidents = 5.0000 Date_of_death = Oct2018 incidents = 5.0000 Date_of_death = Sep2018 incidents = 5.0000 Date_of_death = Aug2018 incidents = 4.0000 Date_of_death = Jul2018 incidents = 5.0000 Date_of_death = Jun2018 incidents = 5.0000 Date_of_death = May2018 incidents = 5.0000 Date_of_death = Apr2018 incidents = 5.0000 Date_of_death = Mar2018 incidents = 5.0000 Date_of_death = Feb2018 incidents = 5.0000 Date_of_death = Jan2018 incidents = 1.0000 Date_of_death = Dec2017 incidents = 1.0000 Date_of_death = Nov2017 incidents = 5.0000 Date_of_death = Oct2017 incidents = 5.0000 Date_of_death = Sep2017 incidents = 5.0000 Date_of_death = Aug2017 incidents = 1.0000 Date_of_death = Jul2017 incidents = 1.0000 Date_of_death = Jun2017 incidents = 1.0000 Date_of_death = May2017 incidents = 1.0000 Date_of_death = Apr2017 incidents = 5.0000 Date_of_death = Mar2017 incidents = 5.0000 Date_of_death = Feb2017 incidents = 5.0000 Date_of_death = Jan2017 incidents = 5.0000 Date_of_death = Dec2016 incidents = 1.0000 Date_of_death = Nov2016 incidents = 2.0000 Date_of_death = Oct2016 incidents = 5.0000 Date_of_death = Sep2016 incidents = 2.0000 Date_of_death = Aug2016 incidents = 5.0000 Date_of_death = Jul2016 incidents = 5.0000 Date_of_death = Jun2016 incidents = 5.0000 Date_of_death = May2016 incidents = 1.0000 Date_of_death = Apr2016 incidents = 1.0000 Date_of_death = Mar2016 incidents = 5.0000 Date_of_death = Feb2016 incidents = 5.0000 Date_of_death = Jan2016 incidents = 5.0000 Date_of_death = Dec2015 incidents = 5.0000 Date_of_death = Nov2015 incidents = 1.0000 Date_of_death = Oct2015 incidents = 5.0000 Date_of_death = Sep2015 incidents = 5.0000 Date_of_death = Aug2015 incidents = 5.0000 Date_of_death = Jul2015 incidents = 1.0000 Date_of_death = Jun2015 incidents = 2.0000 Date_of_death = May2015 incidents = 5.0000 Date_of_death = Apr2015 incidents = 5.0000 Date_of_death = Mar2015 incidents = 5.0000 Date_of_death = Feb2015 incidents = 5.0000 Date_of_death = Jan2015 incidents = 5.0000 Date_of_death = Dec2014 incidents = 1.0000 Date_of_death = Nov2014 incidents = 5.0000 Date_of_death = Oct2014 incidents = 5.0000 Date_of_death = Sep2014 incidents = 5.0000 Date_of_death = Aug2014 incidents = 2.0000 Date_of_death = Jul2014 incidents = 5.0000 Date_of_death = Jun2014 incidents = 5.0000 Date_of_death = May2014 incidents = 5.0000 Date_of_death = Apr2014 incidents = 5.0000 Date_of_death = Mar2014 incidents = 5.0000 Date_of_death = Feb2014 incidents = 1.0000 Date_of_death = Jan2014 incidents = 5.0000 Date_of_death = Dec2013 incidents = 5.0000 Date_of_death = Nov2013 incidents = 5.0000 Date_of_death = Oct2013 incidents = 5.0000 Date_of_death = Sep2013 incidents = 5.0000 Date_of_death = Aug2013 incidents = 1.0000 Date_of_death = Jul2013 incidents = 1.0000 Date_of_death = Jun2013 incidents = 5.0000 Date_of_death = May2013 incidents = 4.0000 Date_of_death = Apr2013 incidents = 2.0000 Date_of_death = Mar2013 incidents = 1.0000 Date_of_death = Feb2013 incidents = 5.0000 Date_of_death = Jan2013 incidents = 1.0000 Date_of_death = Dec2012 incidents = 2.0000 Date_of_death = Nov2012 incidents = 3.0000 Date_of_death = Oct2012 incidents = 5.0000 Date_of_death = Sep2012 incidents = 5.0000 Date_of_death = Aug2012 incidents = 3.0000 Date_of_death = Jul2012 incidents = 5.0000 Date_of_death = Jun2012 incidents = 5.0000 Date_of_death = May2012 incidents = 2.0000 Date_of_death = Apr2012 incidents = 2.0000 Date_of_death = Mar2012 incidents = 1.0000 Date_of_death = Feb2012 incidents = 1.0000 Date_of_death = Jan2012 incidents = 5.0000 Date_of_death = Dec2011 incidents = 1.0000 Date_of_death = Nov2011 incidents = 5.0000 Date_of_death = Oct2011 incidents = 1.0000 Date_of_death = Sep2011 incidents = 2.0000 Date_of_death = Aug2011 incidents = 1.0000 Date_of_death = Jul2011 incidents = 5.0000 Date_of_death = Jun2011 incidents = 2.0000 Date_of_death = May2011 incidents = 3.0000 Date_of_death = Apr2011 incidents = 5.0000 Date_of_death = Mar2011 incidents = 1.0000 Date_of_death = Feb2011 incidents = 2.0000 Date_of_death = Jan2011 incidents = 5.0000 Date_of_death = Dec2010 incidents = 1.0000 Date_of_death = Nov2010 incidents = 1.0000 Date_of_death = Oct2010 incidents = 5.0000 Date_of_death = Sep2010 incidents = 2.0000 Date_of_death = Aug2010 incidents = 5.0000 Date_of_death = Jul2010 incidents = 1.0000 Date_of_death = Jun2010 incidents = 5.0000 Date_of_death = May2010 incidents = 2.0000 Date_of_death = Apr2010 incidents = 1.0000 Date_of_death = Mar2010 incidents = 1.0000 Date_of_death = Feb2010 incidents = 5.0000 Date_of_death = Jan2010 incidents = 1.0000 Date_of_death = Dec2009 incidents = 5.0000 Date_of_death = Nov2009 incidents = 1.0000 Date_of_death = Oct2009 incidents = 5.0000 Date_of_death = Sep2009 incidents = 5.0000 Date_of_death = Aug2009 incidents = 5.0000 Date_of_death = Jul2009 incidents = 2.0000 Date_of_death = Jun2009 incidents = 1.0000 Date_of_death = May2009 incidents = 5.0000 Date_of_death = Apr2009 incidents = 1.0000 Date_of_death = Mar2009 incidents = 2.0000 Date_of_death = Feb2009 incidents = 3.0000 Date_of_death = Jan2009 incidents = 4.0000 Date_of_death = Dec2008 incidents = 2.0000 Date_of_death = Nov2008 incidents = 2.0000 Date_of_death = Oct2008 incidents = 1.0000 Date_of_death = Sep2008 incidents = 2.0000 Date_of_death = Aug2008 incidents = 5.0000 Date_of_death = Jul2008 incidents = 5.0000 Date_of_death = Jun2008 incidents = 5.0000 Date_of_death = May2008 incidents = 1.0000 Date_of_death = Apr2008 incidents = 5.0000 Date_of_death = Mar2008 incidents = 1.0000 Date_of_death = Feb2008 incidents = 1.0000 Date_of_death = Jan2008 incidents = 3.0000 Date_of_death = Dec2007 incidents = 5.0000 Date_of_death = Nov2007 incidents = 1.0000 Date_of_death = Oct2007 incidents = 2.0000 Date_of_death = Sep2007 incidents = 2.0000 Date_of_death = Aug2007 incidents = 1.0000 Date_of_death = Jul2007 incidents = 2.0000 Date_of_death = Jun2007 incidents = 5.0000 Date_of_death = May2007 incidents = 2.0000 Date_of_death = Apr2007 incidents = 1.0000 Date_of_death = Mar2007 incidents = 3.0000 Date_of_death = Feb2007 incidents = 2.0000 Date_of_death = Jan2007 incidents = 5.0000 Date_of_death = Dec2006 incidents = 5.0000 Date_of_death = Nov2006 incidents = 1.0000 Date_of_death = Oct2006 incidents = 3.0000 Date_of_death = Sep2006 incidents = 5.0000 Date_of_death = Aug2006 incidents = 2.0000 Date_of_death = Jul2006 incidents = 1.0000 Date_of_death = Jun2006 incidents = 2.0000 Date_of_death = May2006 incidents = 1.0000 Date_of_death = Apr2006 incidents = 2.0000 Date_of_death = Mar2006 incidents = 2.0000 Date_of_death = Feb2006 incidents = 5.0000 Date_of_death = Jan2006 incidents = 2.0000 Date_of_death = Dec2005 incidents = 1.0000 Date_of_death = Nov2005 incidents = 5.0000 Date_of_death = Oct2005 incidents = 2.0000 Date_of_death = Sep2005 incidents = 5.0000 Date_of_death = Aug2005 incidents = 1.0000 Date_of_death = Jul2005 incidents = 1.0000 Date_of_death = Jun2005 incidents = 5.0000 Date_of_death = May2005 incidents = 1.0000 Date_of_death = Apr2005 incidents = 5.0000 Date_of_death = Mar2005 incidents = 5.0000 Date_of_death = Feb2005 incidents = 5.0000 Date_of_death = Jan2005 incidents = 1.0000 Date_of_death = Dec2004 incidents = 3.0000 Date_of_death = Nov2004 incidents = 5.0000 Date_of_death = Oct2004 incidents = 2.0000 Date_of_death = Sep2004 incidents = 1.0000 Date_of_death = Aug2004 incidents = 5.0000 Date_of_death = Jul2004 incidents = 5.0000 Date_of_death = Jun2004 incidents = 1.0000 Date_of_death = May2004 incidents = 1.0000 Date_of_death = Apr2004 incidents = 5.0000 Date_of_death = Mar2004 incidents = 2.0000 Date_of_death = Feb2004 incidents = 1.0000 Date_of_death = Jan2004 incidents = 1.0000 Date_of_death = Dec2003 incidents = 2.0000 Date_of_death = Nov2003 incidents = 1.0000 Date_of_death = Oct2003 incidents = 5.0000 Date_of_death = Sep2003 incidents = 1.0000 Date_of_death = Aug2003 incidents = 1.0000 Date_of_death = Jul2003 incidents = 1.0000 Date_of_death = Jun2003 incidents = 2.0000 Date_of_death = May2003 incidents = 5.0000 Date_of_death = Apr2003 incidents = 5.0000 Date_of_death = Mar2003 incidents = 5.0000 Date_of_death = Feb2003 incidents = 1.0000 Date_of_death = Jan2003 incidents = 5.0000 Date_of_death = Dec2002 incidents = 5.0000 Date_of_death = Nov2002 incidents = 1.0000 Date_of_death = Oct2002 incidents = 5.0000 Date_of_death = Sep2002 incidents = 1.0000 Date_of_death = Aug2002 incidents = 5.0000 Date_of_death = Jul2002 incidents = 5.0000 Date_of_death = Jun2002 incidents = 5.0000 Date_of_death = May2002 incidents = 5.0000 Date_of_death = Apr2002 incidents = 5.0000 Date_of_death = Mar2002 incidents = 5.0000 Date_of_death = Feb2002 incidents = 5.0000 Date_of_death = Jan2002 incidents = 1.0000 Date_of_death = Dec2001 incidents = 5.0000 Date_of_death = Nov2001 incidents = 5.0000 Date_of_death = Oct2001 incidents = 5.0000 Date_of_death = Sep2001 incidents = 5.0000 Date_of_death = Aug2001 incidents = 1.0000 Date_of_death = Jul2001 incidents = 5.0000 Date_of_death = Jun2001 incidents = 5.0000 Date_of_death = May2001 incidents = 5.0000 Date_of_death = Apr2001 incidents = 5.0000 Date_of_death = Mar2001 incidents = 1.0000 Date_of_death = Feb2001 incidents = 1.0000 Date_of_death = Jan2001 incidents = 5.0000 Date_of_death = Apr2020 Upper 95% = 7.5124 Lower 95% = 0.1622 Date_of_death = Mar2020 Upper 95% = 7.4092 Lower 95% = 0.0658 Date_of_death = Mar2020 Upper 95% = 7.4092 Lower 95% = 0.0658 Date_of_death = Feb2020 Upper 95% = 7.5559 Lower 95% = 0.2194 Date_of_death = Feb2020 Upper 95% = 7.5559 Lower 95% = 0.2194 Date_of_death = Jan2020 Upper 95% = 7.5026 Lower 95% = 0.1731 Date_of_death = Jan2020 Upper 95% = 7.5026 Lower 95% = 0.1731 Date_of_death = Dec2019 Upper 95% = 7.1235 Lower 95% = -0.2061 Date_of_death = Dec2019 Upper 95% = 7.1235 Lower 95% = -0.2061 Date_of_death = Nov2019 Upper 95% = 7.2781 Lower 95% = -0.0444 Date_of_death = Nov2019 Upper 95% = 7.2781 Lower 95% = -0.0444 Date_of_death = Oct2019 Upper 95% = 8.1694 Lower 95% = 0.8541 Date_of_death = Oct2019 Upper 95% = 8.1694 Lower 95% = 0.8541 Date_of_death = Sep2019 Upper 95% = 7.7450 Lower 95% = 0.4368 Date_of_death = Sep2019 Upper 95% = 7.7450 Lower 95% = 0.4368 Date_of_death = Aug2019 Upper 95% = 7.2152 Lower 95% = -0.0857 Date_of_death = Aug2019 Upper 95% = 7.2152 Lower 95% = -0.0857 Date_of_death = Jul2019 Upper 95% = 7.1591 Lower 95% = -0.1344 Date_of_death = Jul2019 Upper 95% = 7.1591 Lower 95% = -0.1344 Date_of_death = Jun2019 Upper 95% = 7.8924 Lower 95% = 0.6064 Date_of_death = Jun2019 Upper 95% = 7.8924 Lower 95% = 0.6064 Date_of_death = May2019 Upper 95% = 7.2573 Lower 95% = -0.0213
Forecast Plot

County=Riverside

Series Span Summary

Estimation Span

County=Riverside

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 AUG2019 236 0 1.00000 5.00000 3.11441 1.82408

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 AUG2019 236 0 1.00000 5.00000 3.11441 1.82408

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.65055
Level Error Variance 0.99395
Season Error Variance 3.18303

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -472.2
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 950.42
BIC (smaller is better) 960.65
AICC (smaller is better) 950.53
HQIC (smaller is better) 954.55
CAIC (smaller is better) 963.65
Likelihood Optimization Algorithm Converged in 6 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 3.24934 0.32648 9.95 <.0001
Level Error Variance 0.00036260 0.0015178 0.24 0.8112
Season Error Variance 0.00720 0.01624 0.44 0.6573

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 3.95357
Root Mean Squared Error 1.98836
Mean Absolute Percentage Error 101.40380
Maximum Percent Error 80.23203
R-Square -0.19910
Adjusted R-Square -0.20995
Random Walk R-Square 0.31135
Amemiya's Adjusted R-Square -0.23166

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 3.63 0.0566
Level 1 261.59 <.0001
Season 11 8.98 0.6233

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.010350438 0.1861262

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00720

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 6.3924 Percent = 0.026 Prediction Error = 6.3297 Percent = 0.0311 Prediction Error = 6.3297 Percent = 0.0311 Prediction Error = 6.2671 Percent = 0.0371 Prediction Error = 6.2671 Percent = 0.0371 Prediction Error = 6.2044 Percent = 0.0441 Prediction Error = 6.2044 Percent = 0.0441 Prediction Error = 6.1418 Percent = 0.0522 Prediction Error = 6.1418 Percent = 0.0522 Prediction Error = 6.0791 Percent = 0.0616 Prediction Error = 6.0791 Percent = 0.0616 Prediction Error = 6.0164 Percent = 0.0724 Prediction Error = 6.0164 Percent = 0.0724 Prediction Error = 5.9538 Percent = 0.0848 Prediction Error = 5.9538 Percent = 0.0848 Prediction Error = 5.8911 Percent = 0.0989 Prediction Error = 5.8911 Percent = 0.0989 Prediction Error = 5.8285 Percent = 0.115 Prediction Error = 5.8285 Percent = 0.115 Prediction Error = 5.7658 Percent = 0.1332 Prediction Error = 5.7658 Percent = 0.1332 Prediction Error = 5.7032 Percent = 0.1538 Prediction Error = 5.7032 Percent = 0.1538 Prediction Error = 5.6405 Percent = 0.177 Prediction Error = 5.6405 Percent = 0.177 Prediction Error = 5.5779 Percent = 0.2029 Prediction Error = 5.5779 Percent = 0.2029 Prediction Error = 5.5152 Percent = 0.2319 Prediction Error = 5.5152 Percent = 0.2319 Prediction Error = 5.4526 Percent = 0.2642 Prediction Error = 5.4526 Percent = 0.2642 Prediction Error = 5.3899 Percent = 0.3001 Prediction Error = 5.3899 Percent = 0.3001 Prediction Error = 5.3273 Percent = 0.3397 Prediction Error = 5.3273 Percent = 0.3397 Prediction Error = 5.2646 Percent = 0.3835 Prediction Error = 5.2646 Percent = 0.3835 Prediction Error = 5.202 Percent = 0.4317 Prediction Error = 5.202 Percent = 0.4317 Prediction Error = 5.1393 Percent = 0.4847 Prediction Error = 5.1393 Percent = 0.4847 Prediction Error = 5.0767 Percent = 0.5426 Prediction Error = 5.0767 Percent = 0.5426 Prediction Error = 5.014 Percent = 0.6059 Prediction Error = 5.014 Percent = 0.6059 Prediction Error = 4.9514 Percent = 0.6749 Prediction Error = 4.9514 Percent = 0.6749 Prediction Error = 4.8887 Percent = 0.7499 Prediction Error = 4.8887 Percent = 0.7499 Prediction Error = 4.8261 Percent = 0.8313 Prediction Error = 4.8261 Percent = 0.8313 Prediction Error = 4.7634 Percent = 0.9195 Prediction Error = 4.7634 Percent = 0.9195 Prediction Error = 4.7008 Percent = 1.0149 Prediction Error = 4.7008 Percent = 1.0149 Prediction Error = 4.6381 Percent = 1.1179 Prediction Error = 4.6381 Percent = 1.1179 Prediction Error = 4.5755 Percent = 1.229 Prediction Error = 4.5755 Percent = 1.229 Prediction Error = 4.5128 Percent = 1.3486 Prediction Error = 4.5128 Percent = 1.3486 Prediction Error = 4.4502 Percent = 1.4772 Prediction Error = 4.4502 Percent = 1.4772 Prediction Error = 4.3875 Percent = 1.6153 Prediction Error = 4.3875 Percent = 1.6153 Prediction Error = 4.3249 Percent = 1.7634 Prediction Error = 4.3249 Percent = 1.7634 Prediction Error = 4.2622 Percent = 1.9221 Prediction Error = 4.2622 Percent = 1.9221 Prediction Error = 4.1996 Percent = 2.0919 Prediction Error = 4.1996 Percent = 2.0919 Prediction Error = 4.1369 Percent = 2.2733 Prediction Error = 4.1369 Percent = 2.2733 Prediction Error = 4.0743 Percent = 2.4669 Prediction Error = 4.0743 Percent = 2.4669 Prediction Error = 4.0116 Percent = 2.6733 Prediction Error = 4.0116 Percent = 2.6733 Prediction Error = 3.9489 Percent = 2.893 Prediction Error = 3.9489 Percent = 2.893 Prediction Error = 3.8863 Percent = 3.1265 Prediction Error = 3.8863 Percent = 3.1265 Prediction Error = 3.8236 Percent = 3.3742 Prediction Error = 3.8236 Percent = 3.3742 Prediction Error = 3.761 Percent = 3.6366 Prediction Error = 3.761 Percent = 3.6366 Prediction Error = 3.6983 Percent = 3.914 Prediction Error = 3.6983 Percent = 3.914 Prediction Error = 3.6357 Percent = 4.2067 Prediction Error = 3.6357 Percent = 4.2067 Prediction Error = 3.573 Percent = 4.5148 Prediction Error = 3.573 Percent = 4.5148 Prediction Error = 3.5104 Percent = 4.8384 Prediction Error = 3.5104 Percent = 4.8384 Prediction Error = 3.4477 Percent = 5.1774 Prediction Error = 3.4477 Percent = 5.1774 Prediction Error = 3.3851 Percent = 5.5314 Prediction Error = 3.3851 Percent = 5.5314 Prediction Error = 3.3224 Percent = 5.9001 Prediction Error = 3.3224 Percent = 5.9001 Prediction Error = 3.2598 Percent = 6.283 Prediction Error = 3.2598 Percent = 6.283 Prediction Error = 3.1345 Percent = 7.0874 Prediction Error = 3.1345 Percent = 7.0874 Prediction Error = 3.0092 Percent = 7.9356 Prediction Error = 3.0092 Percent = 7.9356 Prediction Error = 2.8212 Percent = 9.2617 Prediction Error = 2.8212 Percent = 9.2617 Prediction Error = 2.5706 Percent = 11.039 Prediction Error = 2.5706 Percent = 11.039 Prediction Error = 2.4453 Percent = 11.885 Prediction Error = 2.4453 Percent = 11.885 Prediction Error = 2.3827 Percent = 12.287 Prediction Error = 2.3827 Percent = 12.287 Prediction Error = 2.32 Percent = 12.672 Prediction Error = 2.32 Percent = 12.672 Prediction Error = 2.2574 Percent = 13.038 Prediction Error = 2.2574 Percent = 13.038 Prediction Error = 2.1947 Percent = 13.381 Prediction Error = 2.1947 Percent = 13.381 Prediction Error = 2.1321 Percent = 13.699 Prediction Error = 2.1321 Percent = 13.699 Prediction Error = 2.0694 Percent = 13.99 Prediction Error = 2.0694 Percent = 13.99 Prediction Error = 2.0068 Percent = 14.253 Prediction Error = 2.0068 Percent = 14.253 Prediction Error = 1.9441 Percent = 14.486 Prediction Error = 1.9441 Percent = 14.486 Prediction Error = 1.8815 Percent = 14.688 Prediction Error = 1.8815 Percent = 14.688 Prediction Error = 1.8188 Percent = 14.859 Prediction Error = 1.8188 Percent = 14.859 Prediction Error = 1.7561 Percent = 14.998 Prediction Error = 1.7561 Percent = 14.998 Prediction Error = 1.6935 Percent = 15.105 Prediction Error = 1.6935 Percent = 15.105 Prediction Error = 1.6308 Percent = 15.181 Prediction Error = 1.6308 Percent = 15.181 Prediction Error = 1.5682 Percent = 15.227 Prediction Error = 1.5682 Percent = 15.227 Prediction Error = 1.5055 Percent = 15.244 Prediction Error = 1.5055 Percent = 15.244 Prediction Error = 1.4429 Percent = 15.234 Prediction Error = 1.4429 Percent = 15.234 Prediction Error = 1.3802 Percent = 15.199 Prediction Error = 1.3802 Percent = 15.199 Prediction Error = 1.3176 Percent = 15.142 Prediction Error = 1.3176 Percent = 15.142 Prediction Error = 1.2549 Percent = 15.065 Prediction Error = 1.2549 Percent = 15.065 Prediction Error = 1.1923 Percent = 14.971 Prediction Error = 1.1923 Percent = 14.971 Prediction Error = 1.1296 Percent = 14.863 Prediction Error = 1.1296 Percent = 14.863 Prediction Error = 1.067 Percent = 14.744 Prediction Error = 1.067 Percent = 14.744 Prediction Error = 0.8164 Percent = 14.22 Prediction Error = 0.8164 Percent = 14.22 Prediction Error = 0.7537 Percent = 14.092 Prediction Error = 0.7537 Percent = 14.092 Prediction Error = 0.6911 Percent = 13.97 Prediction Error = 0.6911 Percent = 13.97 Prediction Error = 0.6284 Percent = 13.858 Prediction Error = 0.6284 Percent = 13.858 Prediction Error = 0.5658 Percent = 13.755 Prediction Error = 0.5658 Percent = 13.755 Prediction Error = 0.5031 Percent = 13.666 Prediction Error = 0.5031 Percent = 13.666 Prediction Error = 0.4405 Percent = 13.59 Prediction Error = 0.4405 Percent = 13.59 Prediction Error = 0.3778 Percent = 13.529 Prediction Error = 0.3778 Percent = 13.529 Prediction Error = 0.3152 Percent = 13.484 Prediction Error = 0.3152 Percent = 13.484 Prediction Error = 0.2525 Percent = 13.455 Prediction Error = 0.2525 Percent = 13.455 Prediction Error = 0.1899 Percent = 13.443 Prediction Error = 0.1899 Percent = 13.443 Prediction Error = 0.1272 Percent = 13.447 Prediction Error = 0.1272 Percent = 13.447 Prediction Error = 0.0646 Percent = 13.468 Prediction Error = 0.0646 Percent = 13.468 Prediction Error = 0.0019 Percent = 13.504 Prediction Error = 0.0019 Percent = 13.504 Prediction Error = -0.061 Percent = 13.555 Prediction Error = -0.061 Percent = 13.555 Prediction Error = -0.123 Percent = 13.62 Prediction Error = -0.123 Percent = 13.62 Prediction Error = -0.186 Percent = 13.697 Prediction Error = -0.186 Percent = 13.697 Prediction Error = -0.249 Percent = 13.787 Prediction Error = -0.249 Percent = 13.787 Prediction Error = -0.311 Percent = 13.886 Prediction Error = -0.311 Percent = 13.886 Prediction Error = -0.374 Percent = 13.994 Prediction Error = -0.374 Percent = 13.994 Prediction Error = -0.437 Percent = 14.11 Prediction Error = -0.437 Percent = 14.11 Prediction Error = -0.499 Percent = 14.231 Prediction Error = -0.499 Percent = 14.231 Prediction Error = -0.687 Percent = 14.611 Prediction Error = -0.687 Percent = 14.611 Prediction Error = -0.813 Percent = 14.862 Prediction Error = -0.813 Percent = 14.862 Prediction Error = -0.875 Percent = 14.982 Prediction Error = -0.875 Percent = 14.982 Prediction Error = -0.938 Percent = 15.096 Prediction Error = -0.938 Percent = 15.096 Prediction Error = -1.001 Percent = 15.202 Prediction Error = -1.001 Percent = 15.202 Prediction Error = -1.063 Percent = 15.3 Prediction Error = -1.063 Percent = 15.3 Prediction Error = -1.126 Percent = 15.387 Prediction Error = -1.126 Percent = 15.387 Prediction Error = -1.188 Percent = 15.462 Prediction Error = -1.188 Percent = 15.462 Prediction Error = -1.251 Percent = 15.523 Prediction Error = -1.251 Percent = 15.523 Prediction Error = -1.314 Percent = 15.571 Prediction Error = -1.314 Percent = 15.571 Prediction Error = -1.376 Percent = 15.603 Prediction Error = -1.376 Percent = 15.603 Prediction Error = -1.439 Percent = 15.618 Prediction Error = -1.439 Percent = 15.618 Prediction Error = -1.502 Percent = 15.616 Prediction Error = -1.502 Percent = 15.616 Prediction Error = -1.564 Percent = 15.596 Prediction Error = -1.564 Percent = 15.596 Prediction Error = -1.627 Percent = 15.556 Prediction Error = -1.627 Percent = 15.556 Prediction Error = -1.69 Percent = 15.497 Prediction Error = -1.69 Percent = 15.497 Prediction Error = -1.752 Percent = 15.418 Prediction Error = -1.752 Percent = 15.418 Prediction Error = -1.815 Percent = 15.318 Prediction Error = -1.815 Percent = 15.318 Prediction Error = -1.878 Percent = 15.198 Prediction Error = -1.878 Percent = 15.198 Prediction Error = -1.94 Percent = 15.057 Prediction Error = -1.94 Percent = 15.057 Prediction Error = -2.003 Percent = 14.896 Prediction Error = -2.003 Percent = 14.896 Prediction Error = -2.066 Percent = 14.714 Prediction Error = -2.066 Percent = 14.714 Prediction Error = -2.128 Percent = 14.513 Prediction Error = -2.128 Percent = 14.513 Prediction Error = -2.191 Percent = 14.292 Prediction Error = -2.191 Percent = 14.292 Prediction Error = -2.254 Percent = 14.052 Prediction Error = -2.254 Percent = 14.052 Prediction Error = -2.316 Percent = 13.794 Prediction Error = -2.316 Percent = 13.794 Prediction Error = -2.379 Percent = 13.518 Prediction Error = -2.379 Percent = 13.518 Prediction Error = -2.441 Percent = 13.227 Prediction Error = -2.441 Percent = 13.227 Prediction Error = -2.504 Percent = 12.92 Prediction Error = -2.504 Percent = 12.92 Prediction Error = -2.567 Percent = 12.6 Prediction Error = -2.567 Percent = 12.6 Prediction Error = -2.629 Percent = 12.267 Prediction Error = -2.629 Percent = 12.267 Prediction Error = -2.755 Percent = 11.569 Prediction Error = -2.755 Percent = 11.569 Prediction Error = -3.256 Percent = 8.5595 Prediction Error = -3.256 Percent = 8.5595 Prediction Error = -3.444 Percent = 7.4416 Prediction Error = -3.444 Percent = 7.4416 Prediction Error = -3.569 Percent = 6.7249 Prediction Error = -3.569 Percent = 6.7249 Prediction Error = -3.695 Percent = 6.0388 Prediction Error = -3.695 Percent = 6.0388 Prediction Error = -3.82 Percent = 5.3882 Prediction Error = -3.82 Percent = 5.3882 Prediction Error = -3.882 Percent = 5.0774 Prediction Error = -3.882 Percent = 5.0774 Prediction Error = -3.945 Percent = 4.7767 Prediction Error = -3.945 Percent = 4.7767 Prediction Error = -4.008 Percent = 4.4862 Prediction Error = -4.008 Percent = 4.4862 Prediction Error = -4.07 Percent = 4.2062 Prediction Error = -4.07 Percent = 4.2062 Prediction Error = -4.133 Percent = 3.9368 Prediction Error = -4.133 Percent = 3.9368 Prediction Error = -4.196 Percent = 3.678 Prediction Error = -4.196 Percent = 3.678 Prediction Error = -4.258 Percent = 3.4298 Prediction Error = -4.258 Percent = 3.4298 Prediction Error = -4.321 Percent = 3.1923 Prediction Error = -4.321 Percent = 3.1923 Prediction Error = -4.384 Percent = 2.9653 Prediction Error = -4.384 Percent = 2.9653 Prediction Error = -4.446 Percent = 2.7488 Prediction Error = -4.446 Percent = 2.7488 Prediction Error = -4.509 Percent = 2.5427 Prediction Error = -4.509 Percent = 2.5427 Prediction Error = -4.572 Percent = 2.3469 Prediction Error = -4.572 Percent = 2.3469 Prediction Error = -4.634 Percent = 2.1612 Prediction Error = -4.634 Percent = 2.1612 Prediction Error = -4.697 Percent = 1.9854 Prediction Error = -4.697 Percent = 1.9854 Prediction Error = -4.76 Percent = 1.8195 Prediction Error = -4.76 Percent = 1.8195 Prediction Error = -4.822 Percent = 1.6632 Prediction Error = -4.822 Percent = 1.6632 Prediction Error = -4.885 Percent = 1.5163 Prediction Error = -4.885 Percent = 1.5163 Prediction Error = -4.948 Percent = 1.3786 Prediction Error = -4.948 Percent = 1.3786 Prediction Error = -5.01 Percent = 1.2499 Prediction Error = -5.01 Percent = 1.2499 Prediction Error = -5.073 Percent = 1.1299 Prediction Error = -5.073 Percent = 1.1299 Prediction Error = -5.136 Percent = 1.0184 Prediction Error = -5.136 Percent = 1.0184 Prediction Error = -5.198 Percent = 0.9151 Prediction Error = -5.198 Percent = 0.9151 Prediction Error = -5.261 Percent = 0.8196 Prediction Error = -5.261 Percent = 0.8196 Prediction Error = -5.323 Percent = 0.7318 Prediction Error = -5.323 Percent = 0.7318 Prediction Error = -5.386 Percent = 0.6512 Prediction Error = -5.386 Percent = 0.6512 Prediction Error = -5.449 Percent = 0.5776 Prediction Error = -5.449 Percent = 0.5776 Prediction Error = -5.511 Percent = 0.5105 Prediction Error = -5.511 Percent = 0.5105 Prediction Error = -5.574 Percent = 0.4496 Prediction Error = -5.574 Percent = 0.4496 Prediction Error = -5.637 Percent = 0.3946 Prediction Error = -5.637 Percent = 0.3946 Prediction Error = -5.699 Percent = 0.345 Prediction Error = -5.699 Percent = 0.345 Prediction Error = -5.762 Percent = 0.3006 Prediction Error = -5.762 Percent = 0.3006 Prediction Error = -5.825 Percent = 0.2609 Prediction Error = -5.825 Percent = 0.2609 Prediction Error = -5.887 Percent = 0.2256 Prediction Error = -5.887 Percent = 0.2256 Prediction Error = -5.95 Percent = 0.1943 Prediction Error = -5.95 Percent = 0.1943 Prediction Error = -6.013 Percent = 0.1667 Prediction Error = -6.013 Percent = 0.1667 Prediction Error = -6.075 Percent = 0.1425 Prediction Error = -6.075 Percent = 0.1425 Prediction Error = -6.138 Percent = 0.1213 Prediction Error = -6.138 Percent = 0.1213 Prediction Error = -6.201 Percent = 0.1028 Prediction Error = -6.201 Percent = 0.1028 Prediction Error = -6.263 Percent = 0.0868 Prediction Error = -6.263 Percent = 0.0868 Prediction Error = -6.326 Percent = 0.073 Prediction Error = -6.326 Percent = 0.073 Prediction Error = -6.389 Percent = 0.0612 Prediction Error = 5.7573 Percent = 0.2234 Prediction Error = 5.6972 Percent = 0.2446 Prediction Error = 5.6972 Percent = 0.2446 Prediction Error = 5.6371 Percent = 0.2675 Prediction Error = 5.6371 Percent = 0.2675 Prediction Error = 5.577 Percent = 0.2923 Prediction Error = 5.577 Percent = 0.2923 Prediction Error = 5.5169 Percent = 0.3191 Prediction Error = 5.5169 Percent = 0.3191 Prediction Error = 5.4568 Percent = 0.348 Prediction Error = 5.4568 Percent = 0.348 Prediction Error = 5.3967 Percent = 0.3792 Prediction Error = 5.3967 Percent = 0.3792 Prediction Error = 5.3366 Percent = 0.4128 Prediction Error = 5.3366 Percent = 0.4128 Prediction Error = 5.2765 Percent = 0.449 Prediction Error = 5.2765 Percent = 0.449 Prediction Error = 5.2164 Percent = 0.4879 Prediction Error = 5.2164 Percent = 0.4879 Prediction Error = 5.1563 Percent = 0.5297 Prediction Error = 5.1563 Percent = 0.5297 Prediction Error = 5.0962 Percent = 0.5746 Prediction Error = 5.0962 Percent = 0.5746 Prediction Error = 5.0361 Percent = 0.6226 Prediction Error = 5.0361 Percent = 0.6226 Prediction Error = 4.976 Percent = 0.6741 Prediction Error = 4.976 Percent = 0.6741 Prediction Error = 4.9159 Percent = 0.7292 Prediction Error = 4.9159 Percent = 0.7292 Prediction Error = 4.8558 Percent = 0.788 Prediction Error = 4.8558 Percent = 0.788 Prediction Error = 4.7957 Percent = 0.8508 Prediction Error = 4.7957 Percent = 0.8508 Prediction Error = 4.7356 Percent = 0.9178 Prediction Error = 4.7356 Percent = 0.9178 Prediction Error = 4.6755 Percent = 0.9891 Prediction Error = 4.6755 Percent = 0.9891 Prediction Error = 4.6154 Percent = 1.065 Prediction Error = 4.6154 Percent = 1.065 Prediction Error = 4.5553 Percent = 1.1456 Prediction Error = 4.5553 Percent = 1.1456 Prediction Error = 4.4952 Percent = 1.2312 Prediction Error = 4.4952 Percent = 1.2312 Prediction Error = 4.4351 Percent = 1.3221 Prediction Error = 4.4351 Percent = 1.3221 Prediction Error = 4.3749 Percent = 1.4183 Prediction Error = 4.3749 Percent = 1.4183 Prediction Error = 4.3148 Percent = 1.5201 Prediction Error = 4.3148 Percent = 1.5201 Prediction Error = 4.2547 Percent = 1.6277 Prediction Error = 4.2547 Percent = 1.6277 Prediction Error = 4.1946 Percent = 1.7414 Prediction Error = 4.1946 Percent = 1.7414 Prediction Error = 4.1345 Percent = 1.8612 Prediction Error = 4.1345 Percent = 1.8612 Prediction Error = 4.0744 Percent = 1.9876 Prediction Error = 4.0744 Percent = 1.9876 Prediction Error = 4.0143 Percent = 2.1205 Prediction Error = 4.0143 Percent = 2.1205 Prediction Error = 3.9542 Percent = 2.2602 Prediction Error = 3.9542 Percent = 2.2602 Prediction Error = 3.8941 Percent = 2.407 Prediction Error = 3.8941 Percent = 2.407 Prediction Error = 3.834 Percent = 2.5609 Prediction Error = 3.834 Percent = 2.5609 Prediction Error = 3.7739 Percent = 2.7221 Prediction Error = 3.7739 Percent = 2.7221 Prediction Error = 3.7138 Percent = 2.8909 Prediction Error = 3.7138 Percent = 2.8909 Prediction Error = 3.6537 Percent = 3.0673 Prediction Error = 3.6537 Percent = 3.0673 Prediction Error = 3.5936 Percent = 3.2514 Prediction Error = 3.5936 Percent = 3.2514 Prediction Error = 3.5335 Percent = 3.4435 Prediction Error = 3.5335 Percent = 3.4435 Prediction Error = 3.4734 Percent = 3.6436 Prediction Error = 3.4734 Percent = 3.6436 Prediction Error = 3.4133 Percent = 3.8517 Prediction Error = 3.4133 Percent = 3.8517 Prediction Error = 3.3532 Percent = 4.068 Prediction Error = 3.3532 Percent = 4.068 Prediction Error = 3.2931 Percent = 4.2925 Prediction Error = 3.2931 Percent = 4.2925 Prediction Error = 3.233 Percent = 4.5253 Prediction Error = 3.233 Percent = 4.5253 Prediction Error = 3.1729 Percent = 4.7663 Prediction Error = 3.1729 Percent = 4.7663 Prediction Error = 3.1128 Percent = 5.0155 Prediction Error = 3.1128 Percent = 5.0155 Prediction Error = 3.0527 Percent = 5.2728 Prediction Error = 3.0527 Percent = 5.2728 Prediction Error = 2.9325 Percent = 5.8119 Prediction Error = 2.9325 Percent = 5.8119 Prediction Error = 2.8123 Percent = 6.3826 Prediction Error = 2.8123 Percent = 6.3826 Prediction Error = 2.6921 Percent = 6.9836 Prediction Error = 2.6921 Percent = 6.9836 Prediction Error = 2.5718 Percent = 7.6132 Prediction Error = 2.5718 Percent = 7.6132 Prediction Error = 2.4516 Percent = 8.2691 Prediction Error = 2.4516 Percent = 8.2691 Prediction Error = 1.5501 Percent = 13.671 Prediction Error = 1.5501 Percent = 13.671 Prediction Error = 1.3698 Percent = 14.747 Prediction Error = 1.3698 Percent = 14.747 Prediction Error = 1.2496 Percent = 15.44 Prediction Error = 1.2496 Percent = 15.44 Prediction Error = 1.1294 Percent = 16.106 Prediction Error = 1.1294 Percent = 16.106 Prediction Error = 1.0092 Percent = 16.739 Prediction Error = 1.0092 Percent = 16.739 Prediction Error = 0.9491 Percent = 17.042 Prediction Error = 0.9491 Percent = 17.042 Prediction Error = 0.889 Percent = 17.334 Prediction Error = 0.889 Percent = 17.334 Prediction Error = 0.8288 Percent = 17.615 Prediction Error = 0.8288 Percent = 17.615 Prediction Error = 0.7687 Percent = 17.883 Prediction Error = 0.7687 Percent = 17.883 Prediction Error = 0.7086 Percent = 18.14 Prediction Error = 0.7086 Percent = 18.14 Prediction Error = 0.6485 Percent = 18.383 Prediction Error = 0.6485 Percent = 18.383 Prediction Error = 0.5884 Percent = 18.612 Prediction Error = 0.5884 Percent = 18.612 Prediction Error = 0.5283 Percent = 18.827 Prediction Error = 0.5283 Percent = 18.827 Prediction Error = 0.4682 Percent = 19.027 Prediction Error = 0.4682 Percent = 19.027 Prediction Error = 0.4081 Percent = 19.211 Prediction Error = 0.4081 Percent = 19.211 Prediction Error = 0.348 Percent = 19.38 Prediction Error = 0.348 Percent = 19.38 Prediction Error = 0.2879 Percent = 19.531 Prediction Error = 0.2879 Percent = 19.531 Prediction Error = 0.2278 Percent = 19.666 Prediction Error = 0.2278 Percent = 19.666 Prediction Error = 0.1677 Percent = 19.784 Prediction Error = 0.1677 Percent = 19.784 Prediction Error = 0.1076 Percent = 19.884 Prediction Error = 0.1076 Percent = 19.884 Prediction Error = 0.0475 Percent = 19.967 Prediction Error = 0.0475 Percent = 19.967 Prediction Error = -0.013 Percent = 20.031 Prediction Error = -0.013 Percent = 20.031 Prediction Error = -0.073 Percent = 20.077 Prediction Error = -0.073 Percent = 20.077 Prediction Error = -0.133 Percent = 20.105 Prediction Error = -0.133 Percent = 20.105 Prediction Error = -0.193 Percent = 20.114 Prediction Error = -0.193 Percent = 20.114 Prediction Error = -0.253 Percent = 20.105 Prediction Error = -0.253 Percent = 20.105 Prediction Error = -0.313 Percent = 20.077 Prediction Error = -0.313 Percent = 20.077 Prediction Error = -0.373 Percent = 20.031 Prediction Error = -0.373 Percent = 20.031 Prediction Error = -0.433 Percent = 19.967 Prediction Error = -0.433 Percent = 19.967 Prediction Error = -0.493 Percent = 19.884 Prediction Error = -0.493 Percent = 19.884 Prediction Error = -0.554 Percent = 19.784 Prediction Error = -0.554 Percent = 19.784 Prediction Error = -0.614 Percent = 19.666 Prediction Error = -0.614 Percent = 19.666 Prediction Error = -0.674 Percent = 19.531 Prediction Error = -0.674 Percent = 19.531 Prediction Error = -0.734 Percent = 19.38 Prediction Error = -0.734 Percent = 19.38 Prediction Error = -0.794 Percent = 19.211 Prediction Error = -0.794 Percent = 19.211 Prediction Error = -0.854 Percent = 19.027 Prediction Error = -0.854 Percent = 19.027 Prediction Error = -0.914 Percent = 18.827 Prediction Error = -0.914 Percent = 18.827 Prediction Error = -0.974 Percent = 18.612 Prediction Error = -0.974 Percent = 18.612 Prediction Error = -1.034 Percent = 18.383 Prediction Error = -1.034 Percent = 18.383 Prediction Error = -1.094 Percent = 18.14 Prediction Error = -1.094 Percent = 18.14 Prediction Error = -1.155 Percent = 17.883 Prediction Error = -1.155 Percent = 17.883 Prediction Error = -1.215 Percent = 17.615 Prediction Error = -1.215 Percent = 17.615 Prediction Error = -1.275 Percent = 17.334 Prediction Error = -1.275 Percent = 17.334 Prediction Error = -1.335 Percent = 17.042 Prediction Error = -1.335 Percent = 17.042 Prediction Error = -1.395 Percent = 16.739 Prediction Error = -1.395 Percent = 16.739 Prediction Error = -1.515 Percent = 16.106 Prediction Error = -1.515 Percent = 16.106 Prediction Error = -1.635 Percent = 15.44 Prediction Error = -1.635 Percent = 15.44 Prediction Error = -2.357 Percent = 11.094 Prediction Error = -2.357 Percent = 11.094 Prediction Error = -2.597 Percent = 9.6484 Prediction Error = -2.597 Percent = 9.6484 Prediction Error = -2.777 Percent = 8.6061 Prediction Error = -2.777 Percent = 8.6061 Prediction Error = -2.898 Percent = 7.938 Prediction Error = -2.898 Percent = 7.938 Prediction Error = -3.018 Percent = 7.2949 Prediction Error = -3.018 Percent = 7.2949 Prediction Error = -3.138 Percent = 6.6794 Prediction Error = -3.138 Percent = 6.6794 Prediction Error = -3.258 Percent = 6.0934 Prediction Error = -3.258 Percent = 6.0934 Prediction Error = -3.378 Percent = 5.5384 Prediction Error = -3.378 Percent = 5.5384 Prediction Error = -3.438 Percent = 5.2728 Prediction Error = -3.438 Percent = 5.2728 Prediction Error = -3.499 Percent = 5.0155 Prediction Error = -3.499 Percent = 5.0155 Prediction Error = -3.559 Percent = 4.7663 Prediction Error = -3.559 Percent = 4.7663 Prediction Error = -3.619 Percent = 4.5253 Prediction Error = -3.619 Percent = 4.5253 Prediction Error = -3.679 Percent = 4.2925 Prediction Error = -3.679 Percent = 4.2925 Prediction Error = -3.739 Percent = 4.068 Prediction Error = -3.739 Percent = 4.068 Prediction Error = -3.799 Percent = 3.8517 Prediction Error = -3.799 Percent = 3.8517 Prediction Error = -3.859 Percent = 3.6436 Prediction Error = -3.859 Percent = 3.6436 Prediction Error = -3.919 Percent = 3.4435 Prediction Error = -3.919 Percent = 3.4435 Prediction Error = -3.979 Percent = 3.2514 Prediction Error = -3.979 Percent = 3.2514 Prediction Error = -4.04 Percent = 3.0673 Prediction Error = -4.04 Percent = 3.0673 Prediction Error = -4.1 Percent = 2.8909 Prediction Error = -4.1 Percent = 2.8909 Prediction Error = -4.16 Percent = 2.7221 Prediction Error = -4.16 Percent = 2.7221 Prediction Error = -4.22 Percent = 2.5609 Prediction Error = -4.22 Percent = 2.5609 Prediction Error = -4.28 Percent = 2.407 Prediction Error = -4.28 Percent = 2.407 Prediction Error = -4.34 Percent = 2.2602 Prediction Error = -4.34 Percent = 2.2602 Prediction Error = -4.4 Percent = 2.1205 Prediction Error = -4.4 Percent = 2.1205 Prediction Error = -4.46 Percent = 1.9876 Prediction Error = -4.46 Percent = 1.9876 Prediction Error = -4.52 Percent = 1.8612 Prediction Error = -4.52 Percent = 1.8612 Prediction Error = -4.58 Percent = 1.7414 Prediction Error = -4.58 Percent = 1.7414 Prediction Error = -4.641 Percent = 1.6277 Prediction Error = -4.641 Percent = 1.6277 Prediction Error = -4.701 Percent = 1.5201 Prediction Error = -4.701 Percent = 1.5201 Prediction Error = -4.761 Percent = 1.4183 Prediction Error = -4.761 Percent = 1.4183 Prediction Error = -4.821 Percent = 1.3221 Prediction Error = -4.821 Percent = 1.3221 Prediction Error = -4.881 Percent = 1.2312 Prediction Error = -4.881 Percent = 1.2312 Prediction Error = -4.941 Percent = 1.1456 Prediction Error = -4.941 Percent = 1.1456 Prediction Error = -5.001 Percent = 1.065 Prediction Error = -5.001 Percent = 1.065 Prediction Error = -5.061 Percent = 0.9891 Prediction Error = -5.061 Percent = 0.9891 Prediction Error = -5.121 Percent = 0.9178 Prediction Error = -5.121 Percent = 0.9178 Prediction Error = -5.181 Percent = 0.8508 Prediction Error = -5.181 Percent = 0.8508 Prediction Error = -5.242 Percent = 0.788 Prediction Error = -5.242 Percent = 0.788 Prediction Error = -5.302 Percent = 0.7292 Prediction Error = -5.302 Percent = 0.7292 Prediction Error = -5.362 Percent = 0.6741 Prediction Error = -5.362 Percent = 0.6741 Prediction Error = -5.422 Percent = 0.6226 Prediction Error = -5.422 Percent = 0.6226 Prediction Error = -5.482 Percent = 0.5746 Prediction Error = -5.482 Percent = 0.5746 Prediction Error = -5.542 Percent = 0.5297 Prediction Error = -5.542 Percent = 0.5297 Prediction Error = -5.602 Percent = 0.4879 Prediction Error = -5.602 Percent = 0.4879 Prediction Error = -5.662 Percent = 0.449 Prediction Error = -5.662 Percent = 0.449 Prediction Error = -5.722 Percent = 0.4128 Prediction Error = -5.722 Percent = 0.4128 Prediction Error = -5.783 Percent = 0.3792 Prediction Error = -5.783 Percent = 0.3792 Prediction Error = -5.843 Percent = 0.348 Prediction Error = -5.843 Percent = 0.348 Prediction Error = -5.903 Percent = 0.3191 Prediction Error = -5.903 Percent = 0.3191 Prediction Error = -5.963 Percent = 0.2923 Prediction Error = -5.963 Percent = 0.2923 Prediction Error = -6.023 Percent = 0.2675 Prediction Error = -6.023 Percent = 0.2675 Prediction Error = -6.083 Percent = 0.2446 Prediction Error = -6.083 Percent = 0.2446 Prediction Error = -6.143 Percent = 0.2234 Prediction Error = 4 Percent = 1.3393 Prediction Error = 4 Percent = 1.3393 Prediction Error = 3 Percent = 5.8036 Prediction Error = 3 Percent = 5.8036 Prediction Error = 2 Percent = 20.536 Prediction Error = 2 Percent = 20.536 Prediction Error = 1 Percent = 12.5 Prediction Error = 1 Percent = 12.5 Prediction Error = 0 Percent = 11.607 Prediction Error = 0 Percent = 11.607 Prediction Error = -1 Percent = 18.304 Prediction Error = -1 Percent = 18.304 Prediction Error = -2 Percent = 15.625 Prediction Error = -2 Percent = 15.625 Prediction Error = -3 Percent = 10.268 Prediction Error = -3 Percent = 10.268 Prediction Error = -4 Percent = 4.0179 Prediction Error = -4 Percent = 4.0179 Quantile = 2.7718 Residual = 4.0116 Quantile = 2.4448 Residual = 4.0004 Quantile = 2.2667 Residual = 4 Quantile = 2.1403 Residual = 3.4758 Quantile = 2.041 Residual = 3.335 Quantile = 1.9585 Residual = 3.2865 Quantile = 1.8876 Residual = 3.006 Quantile = 1.825 Residual = 3.0024 Quantile = 1.7688 Residual = 2.9504 Quantile = 1.7178 Residual = 2.9242 Quantile = 1.6708 Residual = 2.7778 Quantile = 1.6273 Residual = 2.7495 Quantile = 1.5866 Residual = 2.6877 Quantile = 1.5484 Residual = 2.6372 Quantile = 1.5124 Residual = 2.6183 Quantile = 1.4782 Residual = 2.6131 Quantile = 1.4457 Residual = 2.425 Quantile = 1.4146 Residual = 2.385 Quantile = 1.3848 Residual = 2.3409 Quantile = 1.3562 Residual = 2.2888 Quantile = 1.3287 Residual = 2.2867 Quantile = 1.3022 Residual = 2.2561 Quantile = 1.2765 Residual = 2.1821 Quantile = 1.2516 Residual = 2.1531 Quantile = 1.2275 Residual = 2.1123 Quantile = 1.2041 Residual = 2.0861 Quantile = 1.1814 Residual = 2.0491 Quantile = 1.1592 Residual = 2.017 Quantile = 1.1376 Residual = 2.005 Quantile = 1.1165 Residual = 2.0029 Quantile = 1.0959 Residual = 1.9994 Quantile = 1.0757 Residual = 1.995 Quantile = 1.056 Residual = 1.9942 Quantile = 1.0367 Residual = 1.99 Quantile = 1.0177 Residual = 1.9808 Quantile = 0.9991 Residual = 1.9688 Quantile = 0.9809 Residual = 1.9669 Quantile = 0.963 Residual = 1.9368 Quantile = 0.9453 Residual = 1.8426 Quantile = 0.928 Residual = 1.8274 Quantile = 0.911 Residual = 1.827 Quantile = 0.8942 Residual = 1.7786 Quantile = 0.8776 Residual = 1.7636 Quantile = 0.8613 Residual = 1.7585 Quantile = 0.8452 Residual = 1.7486 Quantile = 0.8293 Residual = 1.7444 Quantile = 0.8137 Residual = 1.7204 Quantile = 0.7982 Residual = 1.7078 Quantile = 0.7829 Residual = 1.6963 Quantile = 0.7678 Residual = 1.6769 Quantile = 0.7529 Residual = 1.6651 Quantile = 0.7381 Residual = 1.6387 Quantile = 0.7235 Residual = 1.6239 Quantile = 0.7091 Residual = 1.6233 Quantile = 0.6948 Residual = 1.6156 Quantile = 0.6806 Residual = 1.6148 Quantile = 0.6666 Residual = 1.6121 Quantile = 0.6527 Residual = 1.61 Quantile = 0.639 Residual = 1.5858 Quantile = 0.6253 Residual = 1.5849 Quantile = 0.6118 Residual = 1.5149 Quantile = 0.5983 Residual = 1.5042 Quantile = 0.585 Residual = 1.4862 Quantile = 0.5718 Residual = 1.4829 Quantile = 0.5587 Residual = 1.4767 Quantile = 0.5457 Residual = 1.4738 Quantile = 0.5328 Residual = 1.4581 Quantile = 0.5199 Residual = 1.4554 Quantile = 0.5072 Residual = 1.4068 Quantile = 0.4945 Residual = 1.406 Quantile = 0.4819 Residual = 1.3717 Quantile = 0.4694 Residual = 1.3688 Quantile = 0.4569 Residual = 1.3578 Quantile = 0.4446 Residual = 1.3488 Quantile = 0.4323 Residual = 1.3485 Quantile = 0.42 Residual = 1.3481 Quantile = 0.4078 Residual = 1.3332 Quantile = 0.3957 Residual = 1.3325 Quantile = 0.3837 Residual = 1.2726 Quantile = 0.3717 Residual = 1.2465 Quantile = 0.3597 Residual = 1.1923 Quantile = 0.3478 Residual = 1.0137 Quantile = 0.336 Residual = 1.0101 Quantile = 0.3242 Residual = 1.0041 Quantile = 0.3124 Residual = 0.986 Quantile = 0.3007 Residual = 0.8787 Quantile = 0.289 Residual = 0.8102 Quantile = 0.2774 Residual = 0.7371 Quantile = 0.2658 Residual = 0.54 Quantile = 0.2542 Residual = 0.518 Quantile = 0.2427 Residual = 0.4094 Quantile = 0.2312 Residual = 0.228 Quantile = 0.2197 Residual = 0.201 Quantile = 0.2083 Residual = 0.1675 Quantile = 0.1969 Residual = 0.0208 Quantile = 0.1855 Residual = 0.0163 Quantile = 0.1741 Residual = 0.0133 Quantile = 0.1628 Residual = 0.0029 Quantile = 0.1515 Residual = 0.0027 Quantile = 0.1402 Residual = 0.0021 Quantile = 0.1289 Residual = 0.002 Quantile = 0.1176 Residual = .00013 Quantile = 0.1064 Residual = -0.001 Quantile = 0.0952 Residual = -0.002 Quantile = 0.0839 Residual = -0.004 Quantile = 0.0727 Residual = -0.004 Quantile = 0.0615 Residual = -0.006 Quantile = 0.0503 Residual = -0.008 Quantile = 0.0391 Residual = -0.014 Quantile = 0.0279 Residual = -0.015 Quantile = 0.0168 Residual = -0.015 Quantile = 0.0056 Residual = -0.027 Quantile = -0.006 Residual = -0.036 Quantile = -0.017 Residual = -0.16 Quantile = -0.028 Residual = -0.171 Quantile = -0.039 Residual = -0.374 Quantile = -0.05 Residual = -0.532 Quantile = -0.062 Residual = -0.548 Quantile = -0.073 Residual = -0.589 Quantile = -0.084 Residual = -0.61 Quantile = -0.095 Residual = -0.619 Quantile = -0.106 Residual = -0.639 Quantile = -0.118 Residual = -0.653 Quantile = -0.129 Residual = -0.758 Quantile = -0.14 Residual = -0.787 Quantile = -0.151 Residual = -0.798 Quantile = -0.163 Residual = -0.799 Quantile = -0.174 Residual = -0.822 Quantile = -0.185 Residual = -0.897 Quantile = -0.197 Residual = -0.966 Quantile = -0.208 Residual = -0.984 Quantile = -0.22 Residual = -0.985 Quantile = -0.231 Residual = -1.007 Quantile = -0.243 Residual = -1.009 Quantile = -0.254 Residual = -1.051 Quantile = -0.266 Residual = -1.071 Quantile = -0.277 Residual = -1.104 Quantile = -0.289 Residual = -1.114 Quantile = -0.301 Residual = -1.132 Quantile = -0.312 Residual = -1.166 Quantile = -0.324 Residual = -1.177 Quantile = -0.336 Residual = -1.185 Quantile = -0.348 Residual = -1.195 Quantile = -0.36 Residual = -1.271 Quantile = -0.372 Residual = -1.329 Quantile = -0.384 Residual = -1.329 Quantile = -0.396 Residual = -1.364 Quantile = -0.408 Residual = -1.381 Quantile = -0.42 Residual = -1.383 Quantile = -0.432 Residual = -1.403 Quantile = -0.445 Residual = -1.42 Quantile = -0.457 Residual = -1.422 Quantile = -0.469 Residual = -1.439 Quantile = -0.482 Residual = -1.446 Quantile = -0.494 Residual = -1.474 Quantile = -0.507 Residual = -1.474 Quantile = -0.52 Residual = -1.481 Quantile = -0.533 Residual = -1.501 Quantile = -0.546 Residual = -1.517 Quantile = -0.559 Residual = -1.546 Quantile = -0.572 Residual = -1.594 Quantile = -0.585 Residual = -1.619 Quantile = -0.598 Residual = -1.65 Quantile = -0.612 Residual = -1.669 Quantile = -0.625 Residual = -1.736 Quantile = -0.639 Residual = -1.779 Quantile = -0.653 Residual = -1.807 Quantile = -0.667 Residual = -1.882 Quantile = -0.681 Residual = -1.892 Quantile = -0.695 Residual = -1.92 Quantile = -0.709 Residual = -1.932 Quantile = -0.724 Residual = -1.961 Quantile = -0.738 Residual = -1.965 Quantile = -0.753 Residual = -1.986 Quantile = -0.768 Residual = -1.998 Quantile = -0.783 Residual = -2.005 Quantile = -0.798 Residual = -2.04 Quantile = -0.814 Residual = -2.051 Quantile = -0.829 Residual = -2.053 Quantile = -0.845 Residual = -2.055 Quantile = -0.861 Residual = -2.158 Quantile = -0.878 Residual = -2.185 Quantile = -0.894 Residual = -2.203 Quantile = -0.911 Residual = -2.204 Quantile = -0.928 Residual = -2.255 Quantile = -0.945 Residual = -2.392 Quantile = -0.963 Residual = -2.393 Quantile = -0.981 Residual = -2.402 Quantile = -0.999 Residual = -2.46 Quantile = -1.018 Residual = -2.461 Quantile = -1.037 Residual = -2.466 Quantile = -1.056 Residual = -2.478 Quantile = -1.076 Residual = -2.538 Quantile = -1.096 Residual = -2.553 Quantile = -1.116 Residual = -2.616 Quantile = -1.138 Residual = -2.624 Quantile = -1.159 Residual = -2.648 Quantile = -1.181 Residual = -2.652 Quantile = -1.204 Residual = -2.665 Quantile = -1.228 Residual = -2.669 Quantile = -1.252 Residual = -2.671 Quantile = -1.276 Residual = -2.677 Quantile = -1.302 Residual = -2.685 Quantile = -1.329 Residual = -2.705 Quantile = -1.356 Residual = -2.758 Quantile = -1.385 Residual = -2.761 Quantile = -1.415 Residual = -2.779 Quantile = -1.446 Residual = -2.779 Quantile = -1.478 Residual = -2.781 Quantile = -1.512 Residual = -3.004 Quantile = -1.548 Residual = -3.018 Quantile = -1.587 Residual = -3.165 Quantile = -1.627 Residual = -3.193 Quantile = -1.671 Residual = -3.199 Quantile = -1.718 Residual = -3.292 Quantile = -1.769 Residual = -3.562 Quantile = -1.825 Residual = -3.856 Quantile = -1.888 Residual = -3.998 Quantile = -1.959 Residual = -3.999 Quantile = -2.041 Residual = -4 Quantile = -2.14 Residual = -4.001 Quantile = -2.267 Residual = -4.001 Quantile = -2.445 Residual = -4.002 Quantile = -2.772 Residual = -4.008 Slope = 1.9834 Y = -0.193 Lag = 24 ACF = -0.114 Lag = 23 ACF = -0.071 Lag = 22 ACF = -0.035 Lag = 21 ACF = -0.04 Lag = 20 ACF = 0.0595 Lag = 19 ACF = 0.0208 Lag = 18 ACF = -0.051 Lag = 17 ACF = 0.0712 Lag = 16 ACF = 0.0124 Lag = 15 ACF = 0.0288 Lag = 14 ACF = 0.0509 Lag = 13 ACF = 0.1079 Lag = 12 ACF = 0.0217 Lag = 11 ACF = -0.061 Lag = 10 ACF = -0.152 Lag = 9 ACF = 0.0145 Lag = 8 ACF = -0.014 Lag = 7 ACF = -0.043 Lag = 6 ACF = 0.0337 Lag = 5 ACF = 0.036 Lag = 4 ACF = -0.028 Lag = 3 ACF = -0.021 Lag = 2 ACF = -0.063 Lag = 1 ACF = 0.1109 Lag = 0 ACF = 1 Lag = 24 Lower = -0.144 Upper = 0.1444 Lag = 23 Lower = -0.144 Upper = 0.1438 Lag = 23 Lower = -0.144 Upper = 0.1438 Lag = 22 Lower = -0.144 Upper = 0.1437 Lag = 22 Lower = -0.144 Upper = 0.1437 Lag = 21 Lower = -0.143 Upper = 0.1435 Lag = 21 Lower = -0.143 Upper = 0.1435 Lag = 20 Lower = -0.143 Upper = 0.143 Lag = 20 Lower = -0.143 Upper = 0.143 Lag = 19 Lower = -0.143 Upper = 0.143 Lag = 19 Lower = -0.143 Upper = 0.143 Lag = 18 Lower = -0.143 Upper = 0.1426 Lag = 18 Lower = -0.143 Upper = 0.1426 Lag = 17 Lower = -0.142 Upper = 0.142 Lag = 17 Lower = -0.142 Upper = 0.142 Lag = 16 Lower = -0.142 Upper = 0.142 Lag = 16 Lower = -0.142 Upper = 0.142 Lag = 15 Lower = -0.142 Upper = 0.1419 Lag = 15 Lower = -0.142 Upper = 0.1419 Lag = 14 Lower = -0.142 Upper = 0.1416 Lag = 14 Lower = -0.142 Upper = 0.1416 Lag = 13 Lower = -0.14 Upper = 0.1401 Lag = 13 Lower = -0.14 Upper = 0.1401 Lag = 12 Lower = -0.14 Upper = 0.14 Lag = 12 Lower = -0.14 Upper = 0.14 Lag = 11 Lower = -0.14 Upper = 0.1395 Lag = 11 Lower = -0.14 Upper = 0.1395 Lag = 10 Lower = -0.137 Upper = 0.1366 Lag = 10 Lower = -0.137 Upper = 0.1366 Lag = 9 Lower = -0.137 Upper = 0.1365 Lag = 9 Lower = -0.137 Upper = 0.1365 Lag = 8 Lower = -0.137 Upper = 0.1365 Lag = 8 Lower = -0.137 Upper = 0.1365 Lag = 7 Lower = -0.136 Upper = 0.1363 Lag = 7 Lower = -0.136 Upper = 0.1363 Lag = 6 Lower = -0.136 Upper = 0.1361 Lag = 6 Lower = -0.136 Upper = 0.1361 Lag = 5 Lower = -0.136 Upper = 0.1359 Lag = 5 Lower = -0.136 Upper = 0.1359 Lag = 4 Lower = -0.136 Upper = 0.1358 Lag = 4 Lower = -0.136 Upper = 0.1358 Lag = 3 Lower = -0.136 Upper = 0.1358 Lag = 3 Lower = -0.136 Upper = 0.1358 Lag = 2 Lower = -0.135 Upper = 0.1353 Lag = 2 Lower = -0.135 Upper = 0.1353 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = -0.086 Lag = 23 PACF = -0.034 Lag = 22 PACF = -0.031 Lag = 21 PACF = -0.058 Lag = 20 PACF = 0.0301 Lag = 19 PACF = 0.0489 Lag = 18 PACF = -0.086 Lag = 17 PACF = 0.0701 Lag = 16 PACF = 0.0273 Lag = 15 PACF = 0.044 Lag = 14 PACF = 0.0169 Lag = 13 PACF = 0.1029 Lag = 12 PACF = 0.0144 Lag = 11 PACF = -0.028 Lag = 10 PACF = -0.16 Lag = 9 PACF = 0.0132 Lag = 8 PACF = .00014 Lag = 7 PACF = -0.046 Lag = 6 PACF = 0.0208 Lag = 5 PACF = 0.0418 Lag = 4 PACF = -0.031 Lag = 3 PACF = -0.006 Lag = 2 PACF = -0.076 Lag = 1 PACF = 0.1109 Lag = 24 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Aug2019 Loess Fit = -0.665 Date_of_death = Jun2019 Loess Fit = -0.65 Date_of_death = Jun2019 Loess Fit = -0.65 Date_of_death = May2019 Loess Fit = -0.636 Date_of_death = May2019 Loess Fit = -0.636 Date_of_death = Apr2019 Loess Fit = -0.621 Date_of_death = Apr2019 Loess Fit = -0.621 Date_of_death = Mar2019 Loess Fit = -0.607 Date_of_death = Mar2019 Loess Fit = -0.607 Date_of_death = Feb2019 Loess Fit = -0.592 Date_of_death = Feb2019 Loess Fit = -0.592 Date_of_death = Jan2019 Loess Fit = -0.578 Date_of_death = Jan2019 Loess Fit = -0.578 Date_of_death = Dec2018 Loess Fit = -0.563 Date_of_death = Dec2018 Loess Fit = -0.563 Date_of_death = Nov2018 Loess Fit = -0.549 Date_of_death = Nov2018 Loess Fit = -0.549 Date_of_death = Sep2018 Loess Fit = -0.535 Date_of_death = Sep2018 Loess Fit = -0.535 Date_of_death = Aug2018 Loess Fit = -0.52 Date_of_death = Aug2018 Loess Fit = -0.52 Date_of_death = Jul2018 Loess Fit = -0.506 Date_of_death = Jul2018 Loess Fit = -0.506 Date_of_death = Jun2018 Loess Fit = -0.491 Date_of_death = Jun2018 Loess Fit = -0.491 Date_of_death = May2018 Loess Fit = -0.477 Date_of_death = May2018 Loess Fit = -0.477 Date_of_death = Apr2018 Loess Fit = -0.463 Date_of_death = Apr2018 Loess Fit = -0.463 Date_of_death = Mar2018 Loess Fit = -0.448 Date_of_death = Mar2018 Loess Fit = -0.448 Date_of_death = Feb2018 Loess Fit = -0.434 Date_of_death = Feb2018 Loess Fit = -0.434 Date_of_death = Jan2018 Loess Fit = -0.42 Date_of_death = Jan2018 Loess Fit = -0.42 Date_of_death = Nov2017 Loess Fit = -0.406 Date_of_death = Nov2017 Loess Fit = -0.406 Date_of_death = Oct2017 Loess Fit = -0.391 Date_of_death = Oct2017 Loess Fit = -0.391 Date_of_death = Sep2017 Loess Fit = -0.377 Date_of_death = Sep2017 Loess Fit = -0.377 Date_of_death = Aug2017 Loess Fit = -0.363 Date_of_death = Aug2017 Loess Fit = -0.363 Date_of_death = Jul2017 Loess Fit = -0.349 Date_of_death = Jul2017 Loess Fit = -0.349 Date_of_death = Jun2017 Loess Fit = -0.335 Date_of_death = Jun2017 Loess Fit = -0.335 Date_of_death = May2017 Loess Fit = -0.32 Date_of_death = May2017 Loess Fit = -0.32 Date_of_death = Apr2017 Loess Fit = -0.306 Date_of_death = Apr2017 Loess Fit = -0.306 Date_of_death = Mar2017 Loess Fit = -0.293 Date_of_death = Mar2017 Loess Fit = -0.293 Date_of_death = Jan2017 Loess Fit = -0.28 Date_of_death = Jan2017 Loess Fit = -0.28 Date_of_death = Dec2016 Loess Fit = -0.266 Date_of_death = Dec2016 Loess Fit = -0.266 Date_of_death = Nov2016 Loess Fit = -0.253 Date_of_death = Nov2016 Loess Fit = -0.253 Date_of_death = Oct2016 Loess Fit = -0.24 Date_of_death = Oct2016 Loess Fit = -0.24 Date_of_death = Sep2016 Loess Fit = -0.227 Date_of_death = Sep2016 Loess Fit = -0.227 Date_of_death = Aug2016 Loess Fit = -0.213 Date_of_death = Aug2016 Loess Fit = -0.213 Date_of_death = Jul2016 Loess Fit = -0.2 Date_of_death = Jul2016 Loess Fit = -0.2 Date_of_death = Jun2016 Loess Fit = -0.187 Date_of_death = Jun2016 Loess Fit = -0.187 Date_of_death = Apr2016 Loess Fit = -0.174 Date_of_death = Apr2016 Loess Fit = -0.174 Date_of_death = Mar2016 Loess Fit = -0.161 Date_of_death = Mar2016 Loess Fit = -0.161 Date_of_death = Feb2016 Loess Fit = -0.147 Date_of_death = Feb2016 Loess Fit = -0.147 Date_of_death = Jan2016 Loess Fit = -0.137 Date_of_death = Jan2016 Loess Fit = -0.137 Date_of_death = Dec2015 Loess Fit = -0.132 Date_of_death = Dec2015 Loess Fit = -0.132 Date_of_death = Nov2015 Loess Fit = -0.126 Date_of_death = Nov2015 Loess Fit = -0.126 Date_of_death = Oct2015 Loess Fit = -0.121 Date_of_death = Oct2015 Loess Fit = -0.121 Date_of_death = Sep2015 Loess Fit = -0.115 Date_of_death = Sep2015 Loess Fit = -0.115 Date_of_death = Aug2015 Loess Fit = -0.11 Date_of_death = Aug2015 Loess Fit = -0.11 Date_of_death = Jun2015 Loess Fit = -0.105 Date_of_death = Jun2015 Loess Fit = -0.105 Date_of_death = May2015 Loess Fit = -0.099 Date_of_death = May2015 Loess Fit = -0.099 Date_of_death = Apr2015 Loess Fit = -0.094 Date_of_death = Apr2015 Loess Fit = -0.094 Date_of_death = Mar2015 Loess Fit = -0.088 Date_of_death = Mar2015 Loess Fit = -0.088 Date_of_death = Feb2015 Loess Fit = -0.083 Date_of_death = Feb2015 Loess Fit = -0.083 Date_of_death = Jan2015 Loess Fit = -0.078 Date_of_death = Jan2015 Loess Fit = -0.078 Date_of_death = Dec2014 Loess Fit = -0.072 Date_of_death = Dec2014 Loess Fit = -0.072 Date_of_death = Nov2014 Loess Fit = -0.073 Date_of_death = Nov2014 Loess Fit = -0.073 Date_of_death = Oct2014 Loess Fit = -0.076 Date_of_death = Oct2014 Loess Fit = -0.076 Date_of_death = Aug2014 Loess Fit = -0.079 Date_of_death = Aug2014 Loess Fit = -0.079 Date_of_death = Jul2014 Loess Fit = -0.082 Date_of_death = Jul2014 Loess Fit = -0.082 Date_of_death = Jun2014 Loess Fit = -0.085 Date_of_death = Jun2014 Loess Fit = -0.085 Date_of_death = May2014 Loess Fit = -0.088 Date_of_death = May2014 Loess Fit = -0.088 Date_of_death = Apr2014 Loess Fit = -0.09 Date_of_death = Apr2014 Loess Fit = -0.09 Date_of_death = Mar2014 Loess Fit = -0.093 Date_of_death = Mar2014 Loess Fit = -0.093 Date_of_death = Feb2014 Loess Fit = -0.096 Date_of_death = Feb2014 Loess Fit = -0.096 Date_of_death = Jan2014 Loess Fit = -0.099 Date_of_death = Jan2014 Loess Fit = -0.099 Date_of_death = Nov2013 Loess Fit = -0.102 Date_of_death = Nov2013 Loess Fit = -0.102 Date_of_death = Oct2013 Loess Fit = -0.105 Date_of_death = Oct2013 Loess Fit = -0.105 Date_of_death = Sep2013 Loess Fit = -0.106 Date_of_death = Sep2013 Loess Fit = -0.106 Date_of_death = Aug2013 Loess Fit = -0.102 Date_of_death = Aug2013 Loess Fit = -0.102 Date_of_death = Jul2013 Loess Fit = -0.099 Date_of_death = Jul2013 Loess Fit = -0.099 Date_of_death = Jun2013 Loess Fit = -0.095 Date_of_death = Jun2013 Loess Fit = -0.095 Date_of_death = May2013 Loess Fit = -0.091 Date_of_death = May2013 Loess Fit = -0.091 Date_of_death = Apr2013 Loess Fit = -0.088 Date_of_death = Apr2013 Loess Fit = -0.088 Date_of_death = Mar2013 Loess Fit = -0.084 Date_of_death = Mar2013 Loess Fit = -0.084 Date_of_death = Jan2013 Loess Fit = -0.08 Date_of_death = Jan2013 Loess Fit = -0.08 Date_of_death = Dec2012 Loess Fit = -0.077 Date_of_death = Dec2012 Loess Fit = -0.077 Date_of_death = Nov2012 Loess Fit = -0.073 Date_of_death = Nov2012 Loess Fit = -0.073 Date_of_death = Oct2012 Loess Fit = -0.069 Date_of_death = Oct2012 Loess Fit = -0.069 Date_of_death = Sep2012 Loess Fit = -0.066 Date_of_death = Sep2012 Loess Fit = -0.066 Date_of_death = Aug2012 Loess Fit = -0.062 Date_of_death = Aug2012 Loess Fit = -0.062 Date_of_death = Jul2012 Loess Fit = -0.056 Date_of_death = Jul2012 Loess Fit = -0.056 Date_of_death = Jun2012 Loess Fit = -0.049 Date_of_death = Jun2012 Loess Fit = -0.049 Date_of_death = May2012 Loess Fit = -0.041 Date_of_death = May2012 Loess Fit = -0.041 Date_of_death = Mar2012 Loess Fit = -0.034 Date_of_death = Mar2012 Loess Fit = -0.034 Date_of_death = Feb2012 Loess Fit = -0.027 Date_of_death = Feb2012 Loess Fit = -0.027 Date_of_death = Jan2012 Loess Fit = -0.019 Date_of_death = Jan2012 Loess Fit = -0.019 Date_of_death = Dec2011 Loess Fit = -0.012 Date_of_death = Dec2011 Loess Fit = -0.012 Date_of_death = Nov2011 Loess Fit = -0.005 Date_of_death = Nov2011 Loess Fit = -0.005 Date_of_death = Oct2011 Loess Fit = 0.0028 Date_of_death = Oct2011 Loess Fit = 0.0028 Date_of_death = Sep2011 Loess Fit = 0.0101 Date_of_death = Sep2011 Loess Fit = 0.0101 Date_of_death = Aug2011 Loess Fit = 0.0174 Date_of_death = Aug2011 Loess Fit = 0.0174 Date_of_death = Jul2011 Loess Fit = 0.0248 Date_of_death = Jul2011 Loess Fit = 0.0248 Date_of_death = May2011 Loess Fit = 0.032 Date_of_death = May2011 Loess Fit = 0.032 Date_of_death = Apr2011 Loess Fit = 0.0377 Date_of_death = Apr2011 Loess Fit = 0.0377 Date_of_death = Mar2011 Loess Fit = 0.0433 Date_of_death = Mar2011 Loess Fit = 0.0433 Date_of_death = Feb2011 Loess Fit = 0.049 Date_of_death = Feb2011 Loess Fit = 0.049 Date_of_death = Jan2011 Loess Fit = 0.0547 Date_of_death = Jan2011 Loess Fit = 0.0547 Date_of_death = Dec2010 Loess Fit = 0.0604 Date_of_death = Dec2010 Loess Fit = 0.0604 Date_of_death = Nov2010 Loess Fit = 0.0661 Date_of_death = Nov2010 Loess Fit = 0.0661 Date_of_death = Oct2010 Loess Fit = 0.0718 Date_of_death = Oct2010 Loess Fit = 0.0718 Date_of_death = Aug2010 Loess Fit = 0.0774 Date_of_death = Aug2010 Loess Fit = 0.0774 Date_of_death = Jul2010 Loess Fit = 0.0831 Date_of_death = Jul2010 Loess Fit = 0.0831 Date_of_death = Jun2010 Loess Fit = 0.0888 Date_of_death = Jun2010 Loess Fit = 0.0888 Date_of_death = May2010 Loess Fit = 0.0945 Date_of_death = May2010 Loess Fit = 0.0945 Date_of_death = Apr2010 Loess Fit = 0.1002 Date_of_death = Apr2010 Loess Fit = 0.1002 Date_of_death = Mar2010 Loess Fit = 0.1039 Date_of_death = Mar2010 Loess Fit = 0.1039 Date_of_death = Feb2010 Loess Fit = 0.1058 Date_of_death = Feb2010 Loess Fit = 0.1058 Date_of_death = Jan2010 Loess Fit = 0.1077 Date_of_death = Jan2010 Loess Fit = 0.1077 Date_of_death = Dec2009 Loess Fit = 0.1096 Date_of_death = Dec2009 Loess Fit = 0.1096 Date_of_death = Oct2009 Loess Fit = 0.1115 Date_of_death = Oct2009 Loess Fit = 0.1115 Date_of_death = Sep2009 Loess Fit = 0.1134 Date_of_death = Sep2009 Loess Fit = 0.1134 Date_of_death = Aug2009 Loess Fit = 0.1153 Date_of_death = Aug2009 Loess Fit = 0.1153 Date_of_death = Jul2009 Loess Fit = 0.1172 Date_of_death = Jul2009 Loess Fit = 0.1172 Date_of_death = Jun2009 Loess Fit = 0.1192 Date_of_death = Jun2009 Loess Fit = 0.1192 Date_of_death = May2009 Loess Fit = 0.1211 Date_of_death = May2009 Loess Fit = 0.1211 Date_of_death = Apr2009 Loess Fit = 0.123 Date_of_death = Apr2009 Loess Fit = 0.123 Date_of_death = Mar2009 Loess Fit = 0.1249 Date_of_death = Mar2009 Loess Fit = 0.1249 Date_of_death = Jan2009 Loess Fit = 0.1264 Date_of_death = Jan2009 Loess Fit = 0.1264 Date_of_death = Dec2008 Loess Fit = 0.1144 Date_of_death = Dec2008 Loess Fit = 0.1144 Date_of_death = Nov2008 Loess Fit = 0.1024 Date_of_death = Nov2008 Loess Fit = 0.1024 Date_of_death = Oct2008 Loess Fit = 0.0905 Date_of_death = Oct2008 Loess Fit = 0.0905 Date_of_death = Sep2008 Loess Fit = 0.0785 Date_of_death = Sep2008 Loess Fit = 0.0785 Date_of_death = Aug2008 Loess Fit = 0.0666 Date_of_death = Aug2008 Loess Fit = 0.0666 Date_of_death = Jul2008 Loess Fit = 0.0546 Date_of_death = Jul2008 Loess Fit = 0.0546 Date_of_death = Jun2008 Loess Fit = 0.0426 Date_of_death = Jun2008 Loess Fit = 0.0426 Date_of_death = May2008 Loess Fit = 0.0307 Date_of_death = May2008 Loess Fit = 0.0307 Date_of_death = Mar2008 Loess Fit = 0.0187 Date_of_death = Mar2008 Loess Fit = 0.0187 Date_of_death = Feb2008 Loess Fit = 0.0067 Date_of_death = Feb2008 Loess Fit = 0.0067 Date_of_death = Jan2008 Loess Fit = -0.005 Date_of_death = Jan2008 Loess Fit = -0.005 Date_of_death = Dec2007 Loess Fit = -0.017 Date_of_death = Dec2007 Loess Fit = -0.017 Date_of_death = Nov2007 Loess Fit = -0.033 Date_of_death = Nov2007 Loess Fit = -0.033 Date_of_death = Oct2007 Loess Fit = -0.056 Date_of_death = Oct2007 Loess Fit = -0.056 Date_of_death = Sep2007 Loess Fit = -0.078 Date_of_death = Sep2007 Loess Fit = -0.078 Date_of_death = Aug2007 Loess Fit = -0.1 Date_of_death = Aug2007 Loess Fit = -0.1 Date_of_death = Jul2007 Loess Fit = -0.122 Date_of_death = Jul2007 Loess Fit = -0.122 Date_of_death = May2007 Loess Fit = -0.145 Date_of_death = May2007 Loess Fit = -0.145 Date_of_death = Apr2007 Loess Fit = -0.167 Date_of_death = Apr2007 Loess Fit = -0.167 Date_of_death = Mar2007 Loess Fit = -0.189 Date_of_death = Mar2007 Loess Fit = -0.189 Date_of_death = Feb2007 Loess Fit = -0.211 Date_of_death = Feb2007 Loess Fit = -0.211 Date_of_death = Jan2007 Loess Fit = -0.233 Date_of_death = Jan2007 Loess Fit = -0.233 Date_of_death = Dec2006 Loess Fit = -0.256 Date_of_death = Dec2006 Loess Fit = -0.256 Date_of_death = Nov2006 Loess Fit = -0.278 Date_of_death = Nov2006 Loess Fit = -0.278 Date_of_death = Oct2006 Loess Fit = -0.3 Date_of_death = Oct2006 Loess Fit = -0.3 Date_of_death = Sep2006 Loess Fit = -0.316 Date_of_death = Sep2006 Loess Fit = -0.316 Date_of_death = Jul2006 Loess Fit = -0.33 Date_of_death = Jul2006 Loess Fit = -0.33 Date_of_death = Jun2006 Loess Fit = -0.344 Date_of_death = Jun2006 Loess Fit = -0.344 Date_of_death = May2006 Loess Fit = -0.358 Date_of_death = May2006 Loess Fit = -0.358 Date_of_death = Apr2006 Loess Fit = -0.372 Date_of_death = Apr2006 Loess Fit = -0.372 Date_of_death = Mar2006 Loess Fit = -0.387 Date_of_death = Mar2006 Loess Fit = -0.387 Date_of_death = Feb2006 Loess Fit = -0.401 Date_of_death = Feb2006 Loess Fit = -0.401 Date_of_death = Jan2006 Loess Fit = -0.415 Date_of_death = Jan2006 Loess Fit = -0.415 Date_of_death = Dec2005 Loess Fit = -0.429 Date_of_death = Dec2005 Loess Fit = -0.429 Date_of_death = Oct2005 Loess Fit = -0.444 Date_of_death = Oct2005 Loess Fit = -0.444 Date_of_death = Sep2005 Loess Fit = -0.458 Date_of_death = Sep2005 Loess Fit = -0.458 Date_of_death = Aug2005 Loess Fit = -0.472 Date_of_death = Aug2005 Loess Fit = -0.472 Date_of_death = Jul2005 Loess Fit = -0.481 Date_of_death = Jul2005 Loess Fit = -0.481 Date_of_death = Jun2005 Loess Fit = -0.479 Date_of_death = Jun2005 Loess Fit = -0.479 Date_of_death = May2005 Loess Fit = -0.477 Date_of_death = May2005 Loess Fit = -0.477 Date_of_death = Apr2005 Loess Fit = -0.475 Date_of_death = Apr2005 Loess Fit = -0.475 Date_of_death = Mar2005 Loess Fit = -0.473 Date_of_death = Mar2005 Loess Fit = -0.473 Date_of_death = Feb2005 Loess Fit = -0.471 Date_of_death = Feb2005 Loess Fit = -0.471 Date_of_death = Dec2004 Loess Fit = -0.47 Date_of_death = Dec2004 Loess Fit = -0.47 Date_of_death = Nov2004 Loess Fit = -0.468 Date_of_death = Nov2004 Loess Fit = -0.468 Date_of_death = Oct2004 Loess Fit = -0.466 Date_of_death = Oct2004 Loess Fit = -0.466 Date_of_death = Sep2004 Loess Fit = -0.464 Date_of_death = Sep2004 Loess Fit = -0.464 Date_of_death = Aug2004 Loess Fit = -0.462 Date_of_death = Aug2004 Loess Fit = -0.462 Date_of_death = Jul2004 Loess Fit = -0.46 Date_of_death = Jul2004 Loess Fit = -0.46 Date_of_death = Jun2004 Loess Fit = -0.458 Date_of_death = Jun2004 Loess Fit = -0.458 Date_of_death = May2004 Loess Fit = -0.451 Date_of_death = May2004 Loess Fit = -0.451 Date_of_death = Apr2004 Loess Fit = -0.442 Date_of_death = Apr2004 Loess Fit = -0.442 Date_of_death = Feb2004 Loess Fit = -0.433 Date_of_death = Feb2004 Loess Fit = -0.433 Date_of_death = Jan2004 Loess Fit = -0.424 Date_of_death = Jan2004 Loess Fit = -0.424 Date_of_death = Dec2003 Loess Fit = -0.415 Date_of_death = Dec2003 Loess Fit = -0.415 Date_of_death = Nov2003 Loess Fit = -0.407 Date_of_death = Nov2003 Loess Fit = -0.407 Date_of_death = Oct2003 Loess Fit = -0.398 Date_of_death = Oct2003 Loess Fit = -0.398 Date_of_death = Sep2003 Loess Fit = -0.389 Date_of_death = Sep2003 Loess Fit = -0.389 Date_of_death = Aug2003 Loess Fit = -0.38 Date_of_death = Aug2003 Loess Fit = -0.38 Date_of_death = Jul2003 Loess Fit = -0.371 Date_of_death = Jul2003 Loess Fit = -0.371 Date_of_death = Jun2003 Loess Fit = -0.363 Date_of_death = Jun2003 Loess Fit = -0.363 Date_of_death = Apr2003 Loess Fit = -0.354 Date_of_death = Apr2003 Loess Fit = -0.354 Date_of_death = Mar2003 Loess Fit = -0.345 Date_of_death = Mar2003 Loess Fit = -0.345 Date_of_death = Feb2003 Loess Fit = -0.334 Date_of_death = Feb2003 Loess Fit = -0.334 Date_of_death = Jan2003 Loess Fit = -0.324 Date_of_death = Jan2003 Loess Fit = -0.324 Date_of_death = Dec2002 Loess Fit = -0.314 Date_of_death = Dec2002 Loess Fit = -0.314 Date_of_death = Nov2002 Loess Fit = -0.304 Date_of_death = Nov2002 Loess Fit = -0.304 Date_of_death = Oct2002 Loess Fit = -0.293 Date_of_death = Oct2002 Loess Fit = -0.293 Date_of_death = Sep2002 Loess Fit = -0.283 Date_of_death = Sep2002 Loess Fit = -0.283 Date_of_death = Jul2002 Loess Fit = -0.273 Date_of_death = Jul2002 Loess Fit = -0.273 Date_of_death = Jun2002 Loess Fit = -0.263 Date_of_death = Jun2002 Loess Fit = -0.263 Date_of_death = May2002 Loess Fit = -0.252 Date_of_death = May2002 Loess Fit = -0.252 Date_of_death = Apr2002 Loess Fit = -0.242 Date_of_death = Apr2002 Loess Fit = -0.242 Date_of_death = Mar2002 Loess Fit = -0.232 Date_of_death = Mar2002 Loess Fit = -0.232 Date_of_death = Feb2002 Loess Fit = -0.222 Date_of_death = Feb2002 Loess Fit = -0.222 Date_of_death = Jan2002 Loess Fit = -0.211 Date_of_death = Jan2002 Loess Fit = -0.211 Date_of_death = Dec2001 Loess Fit = -0.199 Date_of_death = Dec2001 Loess Fit = -0.199 Date_of_death = Nov2001 Loess Fit = -0.187 Date_of_death = Nov2001 Loess Fit = -0.187 Date_of_death = Sep2001 Loess Fit = -0.176 Date_of_death = Sep2001 Loess Fit = -0.176 Date_of_death = Aug2001 Loess Fit = -0.164 Date_of_death = Aug2001 Loess Fit = -0.164 Date_of_death = Jul2001 Loess Fit = -0.153 Date_of_death = Jul2001 Loess Fit = -0.153 Date_of_death = Jun2001 Loess Fit = -0.141 Date_of_death = Jun2001 Loess Fit = -0.141 Date_of_death = May2001 Loess Fit = -0.129 Date_of_death = May2001 Loess Fit = -0.129 Date_of_death = Apr2001 Loess Fit = -0.118 Date_of_death = Apr2001 Loess Fit = -0.118 Date_of_death = Mar2001 Loess Fit = -0.106 Date_of_death = Mar2001 Loess Fit = -0.106 Date_of_death = Feb2001 Loess Fit = -0.095 Date_of_death = Feb2001 Loess Fit = -0.095 Date_of_death = Jan2001 Loess Fit = -0.083 Date_of_death = Aug2019 Prediction Error = -1.051 Date_of_death = Jul2019 Prediction Error = -2.203 Date_of_death = Jun2019 Prediction Error = -1.446 Date_of_death = May2019 Prediction Error = 1.4738 Date_of_death = Apr2019 Prediction Error = -1.403 Date_of_death = Mar2019 Prediction Error = -2.624 Date_of_death = Feb2019 Prediction Error = -1.474 Date_of_death = Jan2019 Prediction Error = -0.532 Date_of_death = Dec2018 Prediction Error = -0.639 Date_of_death = Nov2018 Prediction Error = -1.166 Date_of_death = Oct2018 Prediction Error = 2.2888 Date_of_death = Sep2018 Prediction Error = 1.7786 Date_of_death = Aug2018 Prediction Error = 2.0861 Date_of_death = Jul2018 Prediction Error = -1.329 Date_of_death = Jun2018 Prediction Error = -2.677 Date_of_death = May2018 Prediction Error = 1.6156 Date_of_death = Apr2018 Prediction Error = -2.616 Date_of_death = Mar2018 Prediction Error = -1.736 Date_of_death = Feb2018 Prediction Error = -1.594 Date_of_death = Jan2018 Prediction Error = 2.6877 Date_of_death = Dec2017 Prediction Error = -1.807 Date_of_death = Nov2017 Prediction Error = 1.9808 Date_of_death = Oct2017 Prediction Error = -1.92 Date_of_death = Sep2017 Prediction Error = -2.46 Date_of_death = Aug2017 Prediction Error = 2.2561 Date_of_death = Jul2017 Prediction Error = -1.481 Date_of_death = Jun2017 Prediction Error = 1.406 Date_of_death = May2017 Prediction Error = 1.7444 Date_of_death = Apr2017 Prediction Error = 1.5042 Date_of_death = Mar2017 Prediction Error = -0.787 Date_of_death = Feb2017 Prediction Error = 2.6183 Date_of_death = Jan2017 Prediction Error = -1.42 Date_of_death = Dec2016 Prediction Error = -1.961 Date_of_death = Nov2016 Prediction Error = -1.071 Date_of_death = Oct2016 Prediction Error = -2.053 Date_of_death = Sep2016 Prediction Error = -2.685 Date_of_death = Aug2016 Prediction Error = -1.882 Date_of_death = Jul2016 Prediction Error = -0.548 Date_of_death = Jun2016 Prediction Error = 1.4829 Date_of_death = May2016 Prediction Error = -2.538 Date_of_death = Apr2016 Prediction Error = -2.758 Date_of_death = Mar2016 Prediction Error = 1.2465 Date_of_death = Feb2016 Prediction Error = 2.7778 Date_of_death = Jan2016 Prediction Error = 2.7495 Date_of_death = Dec2015 Prediction Error = -0.008 Date_of_death = Nov2015 Prediction Error = -1.177 Date_of_death = Oct2015 Prediction Error = -0.036 Date_of_death = Sep2015 Prediction Error = 1.4581 Date_of_death = Aug2015 Prediction Error = -2.055 Date_of_death = Jul2015 Prediction Error = -2.779 Date_of_death = Jun2015 Prediction Error = 1.6651 Date_of_death = May2015 Prediction Error = 1.6239 Date_of_death = Apr2015 Prediction Error = -3.018 Date_of_death = Mar2015 Prediction Error = 1.3717 Date_of_death = Feb2015 Prediction Error = -1.383 Date_of_death = Jan2015 Prediction Error = -1.381 Date_of_death = Dec2014 Prediction Error = -0.015 Date_of_death = Nov2014 Prediction Error = 0.8787 Date_of_death = Oct2014 Prediction Error = 2.1123 Date_of_death = Sep2014 Prediction Error = 1.5858 Date_of_death = Aug2014 Prediction Error = 2.1531 Date_of_death = Jul2014 Prediction Error = 1.3325 Date_of_death = Jun2014 Prediction Error = 1.827 Date_of_death = May2014 Prediction Error = 1.8274 Date_of_death = Apr2014 Prediction Error = -3.292 Date_of_death = Mar2014 Prediction Error = 1.5849 Date_of_death = Feb2014 Prediction Error = 2.9242 Date_of_death = Jan2014 Prediction Error = -0.374 Date_of_death = Dec2013 Prediction Error = -2.158 Date_of_death = Nov2013 Prediction Error = -1.185 Date_of_death = Oct2013 Prediction Error = -2.051 Date_of_death = Sep2013 Prediction Error = -1.546 Date_of_death = Aug2013 Prediction Error = -2.04 Date_of_death = Jul2013 Prediction Error = -0.758 Date_of_death = Jun2013 Prediction Error = 1.9669 Date_of_death = May2013 Prediction Error = 1.9942 Date_of_death = Apr2013 Prediction Error = 0.7371 Date_of_death = Mar2013 Prediction Error = 1.6963 Date_of_death = Feb2013 Prediction Error = 0.986 Date_of_death = Jan2013 Prediction Error = -1.517 Date_of_death = Dec2012 Prediction Error = -0.16 Date_of_death = Nov2012 Prediction Error = -2.402 Date_of_death = Oct2012 Prediction Error = -1.132 Date_of_death = Sep2012 Prediction Error = 1.6387 Date_of_death = Aug2012 Prediction Error = 2.1821 Date_of_death = Jul2012 Prediction Error = 1.3688 Date_of_death = Jun2012 Prediction Error = -2.255 Date_of_death = May2012 Prediction Error = -2.204 Date_of_death = Apr2012 Prediction Error = 0.8102 Date_of_death = Mar2012 Prediction Error = -1.474 Date_of_death = Feb2012 Prediction Error = -0.015 Date_of_death = Jan2012 Prediction Error = -0.589 Date_of_death = Dec2011 Prediction Error = -0.171 Date_of_death = Nov2011 Prediction Error = -2.671 Date_of_death = Oct2011 Prediction Error = -1.271 Date_of_death = Sep2011 Prediction Error = -2.669 Date_of_death = Aug2011 Prediction Error = 2.385 Date_of_death = Jul2011 Prediction Error = 1.4767 Date_of_death = Jun2011 Prediction Error = -1.422 Date_of_death = May2011 Prediction Error = -2.478 Date_of_death = Apr2011 Prediction Error = -3.562 Date_of_death = Mar2011 Prediction Error = -2.779 Date_of_death = Feb2011 Prediction Error = 3.2865 Date_of_death = Jan2011 Prediction Error = 2.6131 Date_of_death = Dec2010 Prediction Error = -2.466 Date_of_death = Nov2010 Prediction Error = 1.4862 Date_of_death = Oct2010 Prediction Error = -2.553 Date_of_death = Sep2010 Prediction Error = -1.892 Date_of_death = Aug2010 Prediction Error = 2.6372 Date_of_death = Jul2010 Prediction Error = 1.6148 Date_of_death = Jun2010 Prediction Error = 1.7585 Date_of_death = May2010 Prediction Error = -2.761 Date_of_death = Apr2010 Prediction Error = 0.54 Date_of_death = Mar2010 Prediction Error = 1.3578 Date_of_death = Feb2010 Prediction Error = -0.822 Date_of_death = Jan2010 Prediction Error = 2.9504 Date_of_death = Dec2009 Prediction Error = 1.7204 Date_of_death = Nov2009 Prediction Error = 1.7078 Date_of_death = Oct2009 Prediction Error = 1.6769 Date_of_death = Sep2009 Prediction Error = 1.2726 Date_of_death = Aug2009 Prediction Error = 3.006 Date_of_death = Jul2009 Prediction Error = 1.8426 Date_of_death = Jun2009 Prediction Error = 2.0491 Date_of_death = May2009 Prediction Error = 1.4554 Date_of_death = Apr2009 Prediction Error = -3.856 Date_of_death = Mar2009 Prediction Error = 1.6233 Date_of_death = Feb2009 Prediction Error = -0.897 Date_of_death = Jan2009 Prediction Error = -0.014 Date_of_death = Dec2008 Prediction Error = 1.995 Date_of_death = Nov2008 Prediction Error = 1.9688 Date_of_death = Oct2008 Prediction Error = 1.9368 Date_of_death = Sep2008 Prediction Error = -1.965 Date_of_death = Aug2008 Prediction Error = -1.114 Date_of_death = Jul2008 Prediction Error = -2.461 Date_of_death = Jun2008 Prediction Error = 2.3409 Date_of_death = May2008 Prediction Error = -0.61 Date_of_death = Apr2008 Prediction Error = 0.1675 Date_of_death = Mar2008 Prediction Error = -2.705 Date_of_death = Feb2008 Prediction Error = -1.009 Date_of_death = Jan2008 Prediction Error = -0.027 Date_of_death = Dec2007 Prediction Error = 2.2867 Date_of_death = Nov2007 Prediction Error = -2.392 Date_of_death = Oct2007 Prediction Error = -2.393 Date_of_death = Sep2007 Prediction Error = 1.1923 Date_of_death = Aug2007 Prediction Error = 3.335 Date_of_death = Jul2007 Prediction Error = 1.7486 Date_of_death = Jun2007 Prediction Error = -1.932 Date_of_death = May2007 Prediction Error = 1.6121 Date_of_death = Apr2007 Prediction Error = 0.201 Date_of_death = Mar2007 Prediction Error = 1.5149 Date_of_death = Feb2007 Prediction Error = 3.4758 Date_of_death = Jan2007 Prediction Error = -1.195 Date_of_death = Dec2006 Prediction Error = -1.986 Date_of_death = Nov2006 Prediction Error = -2.781 Date_of_death = Oct2006 Prediction Error = -1.619 Date_of_death = Sep2006 Prediction Error = 1.4068 Date_of_death = Aug2006 Prediction Error = -0.799 Date_of_death = Jul2006 Prediction Error = -2.648 Date_of_death = Jun2006 Prediction Error = -1.104 Date_of_death = May2006 Prediction Error = -1.65 Date_of_death = Apr2006 Prediction Error = -0.966 Date_of_death = Mar2006 Prediction Error = -0.619 Date_of_death = Feb2006 Prediction Error = -0.653 Date_of_death = Jan2006 Prediction Error = -1.439 Date_of_death = Dec2005 Prediction Error = 2.425 Date_of_death = Nov2005 Prediction Error = -2.185 Date_of_death = Oct2005 Prediction Error = -3.199 Date_of_death = Sep2005 Prediction Error = -3.165 Date_of_death = Aug2005 Prediction Error = 0.228 Date_of_death = Jul2005 Prediction Error = 1.61 Date_of_death = Jun2005 Prediction Error = -1.364 Date_of_death = May2005 Prediction Error = 0.4094 Date_of_death = Apr2005 Prediction Error = 0.0208 Date_of_death = Mar2005 Prediction Error = -3.193 Date_of_death = Feb2005 Prediction Error = -0.798 Date_of_death = Jan2005 Prediction Error = -1.779 Date_of_death = Dec2004 Prediction Error = 0.518 Date_of_death = Nov2004 Prediction Error = 1.0137 Date_of_death = Oct2004 Prediction Error = 1.0041 Date_of_death = Sep2004 Prediction Error = -4.001 Date_of_death = Aug2004 Prediction Error = -0.984 Date_of_death = Jul2004 Prediction Error = 2.017 Date_of_death = Jun2004 Prediction Error = -3.004 Date_of_death = May2004 Prediction Error = 1.7636 Date_of_death = Apr2004 Prediction Error = 0.0163 Date_of_death = Mar2004 Prediction Error = 1.0101 Date_of_death = Feb2004 Prediction Error = -1.007 Date_of_death = Jan2004 Prediction Error = -0.985 Date_of_death = Dec2003 Prediction Error = -1.998 Date_of_death = Nov2003 Prediction Error = 1.3485 Date_of_death = Oct2003 Prediction Error = 1.3481 Date_of_death = Sep2003 Prediction Error = -0.002 Date_of_death = Aug2003 Prediction Error = -1.329 Date_of_death = Jul2003 Prediction Error = -2.652 Date_of_death = Jun2003 Prediction Error = 1.3332 Date_of_death = May2003 Prediction Error = -1.669 Date_of_death = Apr2003 Prediction Error = 0.0133 Date_of_death = Mar2003 Prediction Error = 1.3488 Date_of_death = Feb2003 Prediction Error = 4.0116 Date_of_death = Jan2003 Prediction Error = -2.665 Date_of_death = Dec2002 Prediction Error = -1.501 Date_of_death = Nov2002 Prediction Error = -4.001 Date_of_death = Oct2002 Prediction Error = -4 Date_of_death = Sep2002 Prediction Error = -0.006 Date_of_death = Aug2002 Prediction Error = -2.005 Date_of_death = Jul2002 Prediction Error = -4.008 Date_of_death = Jun2002 Prediction Error = 2.005 Date_of_death = May2002 Prediction Error = 1.99 Date_of_death = Apr2002 Prediction Error = .00013 Date_of_death = Mar2002 Prediction Error = 2.0029 Date_of_death = Feb2002 Prediction Error = 0.0021 Date_of_death = Jan2002 Prediction Error = 1.9994 Date_of_death = Dec2001 Prediction Error = 3.0024 Date_of_death = Nov2001 Prediction Error = 0.0027 Date_of_death = Oct2001 Prediction Error = 0.0029 Date_of_death = Sep2001 Prediction Error = -0.001 Date_of_death = Aug2001 Prediction Error = -3.999 Date_of_death = Jul2001 Prediction Error = -0.004 Date_of_death = Jun2001 Prediction Error = -3.998 Date_of_death = May2001 Prediction Error = 4.0004 Date_of_death = Apr2001 Prediction Error = -0.004 Date_of_death = Mar2001 Prediction Error = -4.002 Date_of_death = Feb2001 Prediction Error = 0.002 Date_of_death = Jan2001 Prediction Error = 4 Date_of_death = Aug2019 2*STD = 3.7573 -2*STD = -3.757 Date_of_death = Jul2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Jul2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Jun2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Jun2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = May2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = May2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Apr2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Apr2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Mar2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Mar2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Feb2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Feb2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Jan2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Jan2019 2*STD = 3.7574 -2*STD = -3.757 Date_of_death = Dec2018 2*STD = 3.7603 -2*STD = -3.76 Date_of_death = Dec2018 2*STD = 3.7603 -2*STD = -3.76 Date_of_death = Nov2018 2*STD = 3.7603 -2*STD = -3.76 Date_of_death = Nov2018 2*STD = 3.7603 -2*STD = -3.76 Date_of_death = Oct2018 2*STD = 3.7603 -2*STD = -3.76 Date_of_death = Oct2018 2*STD = 3.7603 -2*STD = -3.76 Date_of_death = Sep2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Sep2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Aug2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Aug2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Jul2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Jul2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Jun2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Jun2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = May2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = May2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Apr2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Apr2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Mar2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Mar2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Feb2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Feb2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Jan2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Jan2018 2*STD = 3.7604 -2*STD = -3.76 Date_of_death = Dec2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Dec2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Nov2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Nov2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Oct2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Oct2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Sep2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Sep2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Aug2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Aug2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Jul2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Jul2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Jun2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Jun2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = May2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = May2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Apr2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Apr2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Mar2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Mar2017 2*STD = 3.7639 -2*STD = -3.764 Date_of_death = Feb2017 2*STD = 3.764 -2*STD = -3.764 Date_of_death = Feb2017 2*STD = 3.764 -2*STD = -3.764 Date_of_death = Jan2017 2*STD = 3.764 -2*STD = -3.764 Date_of_death = Jan2017 2*STD = 3.764 -2*STD = -3.764 Date_of_death = Dec2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Dec2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Nov2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Nov2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Oct2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Oct2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Sep2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Sep2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Aug2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Aug2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Jul2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Jul2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Jun2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = Jun2016 2*STD = 3.768 -2*STD = -3.768 Date_of_death = May2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = May2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = Apr2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = Apr2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = Mar2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = Mar2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = Feb2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = Feb2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = Jan2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = Jan2016 2*STD = 3.7681 -2*STD = -3.768 Date_of_death = Dec2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Dec2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Nov2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Nov2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Oct2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Oct2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Sep2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Sep2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Aug2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Aug2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Jul2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Jul2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Jun2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Jun2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = May2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = May2015 2*STD = 3.7729 -2*STD = -3.773 Date_of_death = Apr2015 2*STD = 3.773 -2*STD = -3.773 Date_of_death = Apr2015 2*STD = 3.773 -2*STD = -3.773 Date_of_death = Mar2015 2*STD = 3.773 -2*STD = -3.773 Date_of_death = Mar2015 2*STD = 3.773 -2*STD = -3.773 Date_of_death = Feb2015 2*STD = 3.773 -2*STD = -3.773 Date_of_death = Feb2015 2*STD = 3.773 -2*STD = -3.773 Date_of_death = Jan2015 2*STD = 3.773 -2*STD = -3.773 Date_of_death = Jan2015 2*STD = 3.773 -2*STD = -3.773 Date_of_death = Dec2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Dec2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Nov2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Nov2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Oct2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Oct2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Sep2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Sep2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Aug2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Aug2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Jul2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Jul2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Jun2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = Jun2014 2*STD = 3.7787 -2*STD = -3.779 Date_of_death = May2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = May2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = Apr2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = Apr2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = Mar2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = Mar2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = Feb2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = Feb2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = Jan2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = Jan2014 2*STD = 3.7788 -2*STD = -3.779 Date_of_death = Dec2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Dec2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Nov2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Nov2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Oct2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Oct2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Sep2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Sep2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Aug2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Aug2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Jul2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Jul2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Jun2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Jun2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = May2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = May2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Apr2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Apr2013 2*STD = 3.7857 -2*STD = -3.786 Date_of_death = Mar2013 2*STD = 3.7858 -2*STD = -3.786 Date_of_death = Mar2013 2*STD = 3.7858 -2*STD = -3.786 Date_of_death = Feb2013 2*STD = 3.7858 -2*STD = -3.786 Date_of_death = Feb2013 2*STD = 3.7858 -2*STD = -3.786 Date_of_death = Jan2013 2*STD = 3.7858 -2*STD = -3.786 Date_of_death = Jan2013 2*STD = 3.7858 -2*STD = -3.786 Date_of_death = Dec2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Dec2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Nov2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Nov2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Oct2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Oct2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Sep2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Sep2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Aug2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Aug2012 2*STD = 3.7941 -2*STD = -3.794 Date_of_death = Jul2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Jul2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Jun2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Jun2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = May2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = May2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Apr2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Apr2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Mar2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Mar2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Feb2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Feb2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Jan2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Jan2012 2*STD = 3.7942 -2*STD = -3.794 Date_of_death = Dec2011 2*STD = 3.8044 -2*STD = -3.804 Date_of_death = Dec2011 2*STD = 3.8044 -2*STD = -3.804 Date_of_death = Nov2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Nov2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Oct2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Oct2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Sep2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Sep2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Aug2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Aug2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Jul2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Jul2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Jun2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Jun2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = May2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = May2011 2*STD = 3.8045 -2*STD = -3.804 Date_of_death = Apr2011 2*STD = 3.8045 -2*STD = -3.805 Date_of_death = Apr2011 2*STD = 3.8045 -2*STD = -3.805 Date_of_death = Mar2011 2*STD = 3.8045 -2*STD = -3.805 Date_of_death = Mar2011 2*STD = 3.8045 -2*STD = -3.805 Date_of_death = Feb2011 2*STD = 3.8045 -2*STD = -3.805 Date_of_death = Feb2011 2*STD = 3.8045 -2*STD = -3.805 Date_of_death = Jan2011 2*STD = 3.8045 -2*STD = -3.805 Date_of_death = Jan2011 2*STD = 3.8045 -2*STD = -3.805 Date_of_death = Dec2010 2*STD = 3.8172 -2*STD = -3.817 Date_of_death = Dec2010 2*STD = 3.8172 -2*STD = -3.817 Date_of_death = Nov2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Nov2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Oct2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Oct2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Sep2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Sep2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Aug2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Aug2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Jul2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Jul2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Jun2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Jun2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = May2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = May2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Apr2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Apr2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Mar2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Mar2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Feb2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Feb2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Jan2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Jan2010 2*STD = 3.8173 -2*STD = -3.817 Date_of_death = Dec2009 2*STD = 3.8333 -2*STD = -3.833 Date_of_death = Dec2009 2*STD = 3.8333 -2*STD = -3.833 Date_of_death = Nov2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Nov2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Oct2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Oct2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Sep2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Sep2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Aug2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Aug2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Jul2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Jul2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Jun2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Jun2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = May2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = May2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Apr2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Apr2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Mar2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Mar2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Feb2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Feb2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Jan2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Jan2009 2*STD = 3.8334 -2*STD = -3.833 Date_of_death = Dec2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Dec2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Nov2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Nov2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Oct2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Oct2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Sep2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Sep2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Aug2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Aug2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Jul2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Jul2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Jun2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Jun2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = May2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = May2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Apr2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Apr2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Mar2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Mar2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Feb2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Feb2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Jan2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Jan2008 2*STD = 3.854 -2*STD = -3.854 Date_of_death = Dec2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Dec2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Nov2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Nov2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Oct2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Oct2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Sep2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Sep2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Aug2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Aug2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Jul2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Jul2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Jun2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Jun2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = May2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = May2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Apr2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Apr2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Mar2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Mar2007 2*STD = 3.8811 -2*STD = -3.881 Date_of_death = Feb2007 2*STD = 3.8812 -2*STD = -3.881 Date_of_death = Feb2007 2*STD = 3.8812 -2*STD = -3.881 Date_of_death = Jan2007 2*STD = 3.8812 -2*STD = -3.881 Date_of_death = Jan2007 2*STD = 3.8812 -2*STD = -3.881 Date_of_death = Dec2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Dec2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Nov2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Nov2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Oct2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Oct2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Sep2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Sep2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Aug2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Aug2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Jul2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Jul2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Jun2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Jun2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = May2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = May2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Apr2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Apr2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Mar2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Mar2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Feb2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Feb2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Jan2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Jan2006 2*STD = 3.9179 -2*STD = -3.918 Date_of_death = Dec2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Dec2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Nov2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Nov2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Oct2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Oct2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Sep2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Sep2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Aug2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Aug2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Jul2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Jul2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Jun2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Jun2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = May2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = May2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Apr2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Apr2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Mar2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Mar2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Feb2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Feb2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Jan2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Jan2005 2*STD = 3.9699 -2*STD = -3.97 Date_of_death = Dec2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Dec2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Nov2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Nov2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Oct2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Oct2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Sep2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Sep2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Aug2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Aug2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Jul2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Jul2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Jun2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Jun2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = May2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = May2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Apr2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Apr2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Mar2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Mar2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Feb2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Feb2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Jan2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Jan2004 2*STD = 4.048 -2*STD = -4.048 Date_of_death = Dec2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Dec2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Nov2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Nov2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Oct2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Oct2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Sep2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Sep2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Aug2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Aug2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Jul2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Jul2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Jun2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Jun2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = May2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = May2003 2*STD = 4.1768 -2*STD = -4.177 Date_of_death = Apr2003 2*STD = 4.1769 -2*STD = -4.177 Date_of_death = Apr2003 2*STD = 4.1769 -2*STD = -4.177 Date_of_death = Mar2003 2*STD = 4.1769 -2*STD = -4.177 Date_of_death = Mar2003 2*STD = 4.1769 -2*STD = -4.177 Date_of_death = Feb2003 2*STD = 4.1769 -2*STD = -4.177 Date_of_death = Feb2003 2*STD = 4.1769 -2*STD = -4.177 Date_of_death = Jan2003 2*STD = 4.1769 -2*STD = -4.177 Date_of_death = Jan2003 2*STD = 4.1769 -2*STD = -4.177 Date_of_death = Dec2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Dec2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Nov2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Nov2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Oct2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Oct2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Sep2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Sep2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Aug2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Aug2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Jul2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Jul2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Jun2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Jun2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = May2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = May2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Apr2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Apr2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Mar2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Mar2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Feb2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Feb2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Jan2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Jan2002 2*STD = 4.426 -2*STD = -4.426 Date_of_death = Dec2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Dec2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Nov2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Nov2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Oct2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Oct2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Sep2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Sep2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Aug2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Aug2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Jul2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Jul2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Jun2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Jun2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = May2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = May2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Apr2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Apr2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Mar2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Mar2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Feb2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Feb2001 2*STD = 5.1059 -2*STD = -5.106 Date_of_death = Jan2001 2*STD = 5.1059 -2*STD = -5.106 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
237 SEP2019 3.300403 1.87867 -0.381722 6.982528
238 OCT2019 2.841926 1.87869 -0.840246 6.524098
239 NOV2019 3.019040 1.87872 -0.663187 6.701267
240 DEC2019 2.538099 1.87875 -1.144188 6.220386
241 JAN2020 2.453930 1.87756 -1.226013 6.133872
242 FEB2020 2.342031 1.87759 -1.337970 6.022032
243 MAR2020 3.402193 1.87762 -0.277873 7.082258
244 APR2020 3.256222 1.87765 -0.423904 6.936348
245 MAY2020 3.631803 1.87768 -0.048383 7.311988
246 JUN2020 3.336824 1.87771 -0.343419 7.017068
247 JUL2020 3.033733 1.87773 -0.646558 6.714023
248 AUG2020 2.968003 1.87775 -0.712324 6.648329

Forecasts Only Plot

Date_of_death = Aug2020 Forecast = 2.9680 Date_of_death = Jul2020 Forecast = 3.0337 Date_of_death = Jul2020 Forecast = 3.0337 Date_of_death = Jun2020 Forecast = 3.3368 Date_of_death = Jun2020 Forecast = 3.3368 Date_of_death = May2020 Forecast = 3.6318 Date_of_death = May2020 Forecast = 3.6318 Date_of_death = Apr2020 Forecast = 3.2562 Date_of_death = Apr2020 Forecast = 3.2562 Date_of_death = Mar2020 Forecast = 3.4022 Date_of_death = Mar2020 Forecast = 3.4022 Date_of_death = Feb2020 Forecast = 2.3420 Date_of_death = Feb2020 Forecast = 2.3420 Date_of_death = Jan2020 Forecast = 2.4539 Date_of_death = Jan2020 Forecast = 2.4539 Date_of_death = Dec2019 Forecast = 2.5381 Date_of_death = Dec2019 Forecast = 2.5381 Date_of_death = Nov2019 Forecast = 3.0190 Date_of_death = Nov2019 Forecast = 3.0190 Date_of_death = Oct2019 Forecast = 2.8419 Date_of_death = Oct2019 Forecast = 2.8419 Date_of_death = Sep2019 Forecast = 3.3004 Date_of_death = Aug2020 Upper 95% = 6.6483 Lower 95% = -0.7123 Date_of_death = Jul2020 Upper 95% = 6.7140 Lower 95% = -0.6466 Date_of_death = Jul2020 Upper 95% = 6.7140 Lower 95% = -0.6466 Date_of_death = Jun2020 Upper 95% = 7.0171 Lower 95% = -0.3434 Date_of_death = Jun2020 Upper 95% = 7.0171 Lower 95% = -0.3434 Date_of_death = May2020 Upper 95% = 7.3120 Lower 95% = -0.0484 Date_of_death = May2020 Upper 95% = 7.3120 Lower 95% = -0.0484 Date_of_death = Apr2020 Upper 95% = 6.9363 Lower 95% = -0.4239 Date_of_death = Apr2020 Upper 95% = 6.9363 Lower 95% = -0.4239 Date_of_death = Mar2020 Upper 95% = 7.0823 Lower 95% = -0.2779 Date_of_death = Mar2020 Upper 95% = 7.0823 Lower 95% = -0.2779 Date_of_death = Feb2020 Upper 95% = 6.0220 Lower 95% = -1.3380 Date_of_death = Feb2020 Upper 95% = 6.0220 Lower 95% = -1.3380 Date_of_death = Jan2020 Upper 95% = 6.1339 Lower 95% = -1.2260 Date_of_death = Jan2020 Upper 95% = 6.1339 Lower 95% = -1.2260 Date_of_death = Dec2019 Upper 95% = 6.2204 Lower 95% = -1.1442 Date_of_death = Dec2019 Upper 95% = 6.2204 Lower 95% = -1.1442 Date_of_death = Nov2019 Upper 95% = 6.7013 Lower 95% = -0.6632 Date_of_death = Nov2019 Upper 95% = 6.7013 Lower 95% = -0.6632 Date_of_death = Oct2019 Upper 95% = 6.5241 Lower 95% = -0.8402 Date_of_death = Oct2019 Upper 95% = 6.5241 Lower 95% = -0.8402 Date_of_death = Sep2019 Upper 95% = 6.9825 Lower 95% = -0.3817
Forecast Only Plot

Forecasts Plot

X = 21762 Date_of_death = Aug2020 Forecast = 2.9680 Date_of_death = Jul2020 Forecast = 3.0337 Date_of_death = Jul2020 Forecast = 3.0337 Date_of_death = Jun2020 Forecast = 3.3368 Date_of_death = Jun2020 Forecast = 3.3368 Date_of_death = May2020 Forecast = 3.6318 Date_of_death = May2020 Forecast = 3.6318 Date_of_death = Apr2020 Forecast = 3.2562 Date_of_death = Apr2020 Forecast = 3.2562 Date_of_death = Mar2020 Forecast = 3.4022 Date_of_death = Mar2020 Forecast = 3.4022 Date_of_death = Feb2020 Forecast = 2.3420 Date_of_death = Feb2020 Forecast = 2.3420 Date_of_death = Jan2020 Forecast = 2.4539 Date_of_death = Jan2020 Forecast = 2.4539 Date_of_death = Dec2019 Forecast = 2.5381 Date_of_death = Dec2019 Forecast = 2.5381 Date_of_death = Nov2019 Forecast = 3.0190 Date_of_death = Nov2019 Forecast = 3.0190 Date_of_death = Oct2019 Forecast = 2.8419 Date_of_death = Oct2019 Forecast = 2.8419 Date_of_death = Sep2019 Forecast = 3.3004 Date_of_death = Sep2019 Forecast = 3.3004 Date_of_death = Aug2019 Forecast = 3.0514 Date_of_death = Aug2019 Forecast = 3.0514 Date_of_death = Jul2019 Forecast = 3.2034 Date_of_death = Jul2019 Forecast = 3.2034 Date_of_death = Jun2019 Forecast = 3.4465 Date_of_death = Jun2019 Forecast = 3.4465 Date_of_death = May2019 Forecast = 3.5262 Date_of_death = May2019 Forecast = 3.5262 Date_of_death = Apr2019 Forecast = 3.4028 Date_of_death = Apr2019 Forecast = 3.4028 Date_of_death = Mar2019 Forecast = 3.6243 Date_of_death = Mar2019 Forecast = 3.6243 Date_of_death = Feb2019 Forecast = 2.4740 Date_of_death = Feb2019 Forecast = 2.4740 Date_of_death = Jan2019 Forecast = 2.5321 Date_of_death = Jan2019 Forecast = 2.5321 Date_of_death = Dec2018 Forecast = 2.6395 Date_of_death = Dec2018 Forecast = 2.6395 Date_of_death = Nov2018 Forecast = 3.1665 Date_of_death = Nov2018 Forecast = 3.1665 Date_of_death = Oct2018 Forecast = 2.7112 Date_of_death = Oct2018 Forecast = 2.7112 Date_of_death = Sep2018 Forecast = 3.2214 Date_of_death = Sep2018 Forecast = 3.2214 Date_of_death = Aug2018 Forecast = 2.9139 Date_of_death = Aug2018 Forecast = 2.9139 Date_of_death = Jul2018 Forecast = 3.3293 Date_of_death = Jul2018 Forecast = 3.3293 Date_of_death = Jun2018 Forecast = 3.6771 Date_of_death = Jun2018 Forecast = 3.6771 Date_of_death = May2018 Forecast = 3.3844 Date_of_death = May2018 Forecast = 3.3844 Date_of_death = Apr2018 Forecast = 3.6158 Date_of_death = Apr2018 Forecast = 3.6158 Date_of_death = Mar2018 Forecast = 3.7362 Date_of_death = Mar2018 Forecast = 3.7362 Date_of_death = Feb2018 Forecast = 2.5937 Date_of_death = Feb2018 Forecast = 2.5937 Date_of_death = Jan2018 Forecast = 2.3123 Date_of_death = Jan2018 Forecast = 2.3123 Date_of_death = Dec2017 Forecast = 2.8069 Date_of_death = Dec2017 Forecast = 2.8069 Date_of_death = Nov2017 Forecast = 3.0192 Date_of_death = Nov2017 Forecast = 3.0192 Date_of_death = Oct2017 Forecast = 2.9197 Date_of_death = Oct2017 Forecast = 2.9197 Date_of_death = Sep2017 Forecast = 3.4603 Date_of_death = Sep2017 Forecast = 3.4603 Date_of_death = Aug2017 Forecast = 2.7439 Date_of_death = Aug2017 Forecast = 2.7439 Date_of_death = Jul2017 Forecast = 3.4812 Date_of_death = Jul2017 Forecast = 3.4812 Date_of_death = Jun2017 Forecast = 3.5940 Date_of_death = Jun2017 Forecast = 3.5940 Date_of_death = May2017 Forecast = 3.2556 Date_of_death = May2017 Forecast = 3.2556 Date_of_death = Apr2017 Forecast = 3.4958 Date_of_death = Apr2017 Forecast = 3.4958 Date_of_death = Mar2017 Forecast = 3.7871 Date_of_death = Mar2017 Forecast = 3.7871 Date_of_death = Feb2017 Forecast = 2.3817 Date_of_death = Feb2017 Forecast = 2.3817 Date_of_death = Jan2017 Forecast = 2.4195 Date_of_death = Jan2017 Forecast = 2.4195 Date_of_death = Dec2016 Forecast = 2.9612 Date_of_death = Dec2016 Forecast = 2.9612 Date_of_death = Nov2016 Forecast = 3.0712 Date_of_death = Nov2016 Forecast = 3.0712 Date_of_death = Oct2016 Forecast = 3.0531 Date_of_death = Oct2016 Forecast = 3.0531 Date_of_death = Sep2016 Forecast = 3.6849 Date_of_death = Sep2016 Forecast = 3.6849 Date_of_death = Aug2016 Forecast = 2.8822 Date_of_death = Aug2016 Forecast = 2.8822 Date_of_death = Jul2016 Forecast = 3.5475 Date_of_death = Jul2016 Forecast = 3.5475 Date_of_death = Jun2016 Forecast = 3.5171 Date_of_death = Jun2016 Forecast = 3.5171 Date_of_death = May2016 Forecast = 3.5382 Date_of_death = May2016 Forecast = 3.5382 Date_of_death = Apr2016 Forecast = 3.7578 Date_of_death = Apr2016 Forecast = 3.7578 Date_of_death = Mar2016 Forecast = 3.7535 Date_of_death = Mar2016 Forecast = 3.7535 Date_of_death = Feb2016 Forecast = 2.2222 Date_of_death = Feb2016 Forecast = 2.2222 Date_of_death = Jan2016 Forecast = 2.2505 Date_of_death = Jan2016 Forecast = 2.2505 Date_of_death = Dec2015 Forecast = 3.0079 Date_of_death = Dec2015 Forecast = 3.0079 Date_of_death = Nov2015 Forecast = 3.1769 Date_of_death = Nov2015 Forecast = 3.1769 Date_of_death = Oct2015 Forecast = 3.0361 Date_of_death = Oct2015 Forecast = 3.0361 Date_of_death = Sep2015 Forecast = 3.5419 Date_of_death = Sep2015 Forecast = 3.5419 Date_of_death = Aug2015 Forecast = 3.0549 Date_of_death = Aug2015 Forecast = 3.0549 Date_of_death = Jul2015 Forecast = 3.7787 Date_of_death = Jul2015 Forecast = 3.7787 Date_of_death = Jun2015 Forecast = 3.3349 Date_of_death = Jun2015 Forecast = 3.3349 Date_of_death = May2015 Forecast = 3.3761 Date_of_death = May2015 Forecast = 3.3761 Date_of_death = Apr2015 Forecast = 4.0184 Date_of_death = Apr2015 Forecast = 4.0184 Date_of_death = Mar2015 Forecast = 3.6283 Date_of_death = Mar2015 Forecast = 3.6283 Date_of_death = Feb2015 Forecast = 2.3835 Date_of_death = Feb2015 Forecast = 2.3835 Date_of_death = Jan2015 Forecast = 2.3812 Date_of_death = Jan2015 Forecast = 2.3812 Date_of_death = Dec2014 Forecast = 3.0147 Date_of_death = Dec2014 Forecast = 3.0147 Date_of_death = Nov2014 Forecast = 3.1213 Date_of_death = Nov2014 Forecast = 3.1213 Date_of_death = Oct2014 Forecast = 2.8877 Date_of_death = Oct2014 Forecast = 2.8877 Date_of_death = Sep2014 Forecast = 3.4142 Date_of_death = Sep2014 Forecast = 3.4142 Date_of_death = Aug2014 Forecast = 2.8469 Date_of_death = Aug2014 Forecast = 2.8469 Date_of_death = Jul2014 Forecast = 3.6675 Date_of_death = Jul2014 Forecast = 3.6675 Date_of_death = Jun2014 Forecast = 3.1730 Date_of_death = Jun2014 Forecast = 3.1730 Date_of_death = May2014 Forecast = 3.1726 Date_of_death = May2014 Forecast = 3.1726 Date_of_death = Apr2014 Forecast = 4.2917 Date_of_death = Apr2014 Forecast = 4.2917 Date_of_death = Mar2014 Forecast = 3.4151 Date_of_death = Mar2014 Forecast = 3.4151 Date_of_death = Feb2014 Forecast = 2.0758 Date_of_death = Feb2014 Forecast = 2.0758 Date_of_death = Jan2014 Forecast = 2.3741 Date_of_death = Jan2014 Forecast = 2.3741 Date_of_death = Dec2013 Forecast = 3.1581 Date_of_death = Dec2013 Forecast = 3.1581 Date_of_death = Nov2013 Forecast = 3.1847 Date_of_death = Nov2013 Forecast = 3.1847 Date_of_death = Oct2013 Forecast = 3.0507 Date_of_death = Oct2013 Forecast = 3.0507 Date_of_death = Sep2013 Forecast = 3.5463 Date_of_death = Sep2013 Forecast = 3.5463 Date_of_death = Aug2013 Forecast = 3.0397 Date_of_death = Aug2013 Forecast = 3.0397 Date_of_death = Jul2013 Forecast = 3.7584 Date_of_death = Jul2013 Forecast = 3.7584 Date_of_death = Jun2013 Forecast = 3.0331 Date_of_death = Jun2013 Forecast = 3.0331 Date_of_death = May2013 Forecast = 3.0058 Date_of_death = May2013 Forecast = 3.0058 Date_of_death = Apr2013 Forecast = 4.2629 Date_of_death = Apr2013 Forecast = 4.2629 Date_of_death = Mar2013 Forecast = 3.3037 Date_of_death = Mar2013 Forecast = 3.3037 Date_of_death = Feb2013 Forecast = 2.0140 Date_of_death = Feb2013 Forecast = 2.0140 Date_of_death = Jan2013 Forecast = 2.5171 Date_of_death = Jan2013 Forecast = 2.5171 Date_of_death = Dec2012 Forecast = 3.1601 Date_of_death = Dec2012 Forecast = 3.1601 Date_of_death = Nov2012 Forecast = 3.4018 Date_of_death = Nov2012 Forecast = 3.4018 Date_of_death = Oct2012 Forecast = 3.1324 Date_of_death = Oct2012 Forecast = 3.1324 Date_of_death = Sep2012 Forecast = 3.3613 Date_of_death = Sep2012 Forecast = 3.3613 Date_of_death = Aug2012 Forecast = 2.8179 Date_of_death = Aug2012 Forecast = 2.8179 Date_of_death = Jul2012 Forecast = 3.6312 Date_of_death = Jul2012 Forecast = 3.6312 Date_of_death = Jun2012 Forecast = 3.2553 Date_of_death = Jun2012 Forecast = 3.2553 Date_of_death = May2012 Forecast = 3.2038 Date_of_death = May2012 Forecast = 3.2038 Date_of_death = Apr2012 Forecast = 4.1898 Date_of_death = Apr2012 Forecast = 4.1898 Date_of_death = Mar2012 Forecast = 3.4739 Date_of_death = Mar2012 Forecast = 3.4739 Date_of_death = Feb2012 Forecast = 2.0149 Date_of_death = Feb2012 Forecast = 2.0149 Date_of_death = Jan2012 Forecast = 2.5890 Date_of_death = Jan2012 Forecast = 2.5890 Date_of_death = Dec2011 Forecast = 3.1711 Date_of_death = Dec2011 Forecast = 3.1711 Date_of_death = Nov2011 Forecast = 3.6714 Date_of_death = Nov2011 Forecast = 3.6714 Date_of_death = Oct2011 Forecast = 3.2706 Date_of_death = Oct2011 Forecast = 3.2706 Date_of_death = Sep2011 Forecast = 3.6694 Date_of_death = Sep2011 Forecast = 3.6694 Date_of_death = Aug2011 Forecast = 2.6150 Date_of_death = Aug2011 Forecast = 2.6150 Date_of_death = Jul2011 Forecast = 3.5233 Date_of_death = Jul2011 Forecast = 3.5233 Date_of_death = Jun2011 Forecast = 3.4219 Date_of_death = Jun2011 Forecast = 3.4219 Date_of_death = May2011 Forecast = 3.4782 Date_of_death = May2011 Forecast = 3.4782 Date_of_death = Apr2011 Forecast = 4.5621 Date_of_death = Apr2011 Forecast = 4.5621 Date_of_death = Mar2011 Forecast = 3.7788 Date_of_death = Mar2011 Forecast = 3.7788 Date_of_death = Feb2011 Forecast = 1.7135 Date_of_death = Feb2011 Forecast = 1.7135 Date_of_death = Jan2011 Forecast = 2.3869 Date_of_death = Jan2011 Forecast = 2.3869 Date_of_death = Dec2010 Forecast = 3.4656 Date_of_death = Dec2010 Forecast = 3.4656 Date_of_death = Nov2010 Forecast = 3.5138 Date_of_death = Nov2010 Forecast = 3.5138 Date_of_death = Oct2010 Forecast = 3.5529 Date_of_death = Oct2010 Forecast = 3.5529 Date_of_death = Sep2010 Forecast = 3.8920 Date_of_death = Sep2010 Forecast = 3.8920 Date_of_death = Aug2010 Forecast = 2.3628 Date_of_death = Aug2010 Forecast = 2.3628 Date_of_death = Jul2010 Forecast = 3.3852 Date_of_death = Jul2010 Forecast = 3.3852 Date_of_death = Jun2010 Forecast = 3.2415 Date_of_death = Jun2010 Forecast = 3.2415 Date_of_death = May2010 Forecast = 3.7608 Date_of_death = May2010 Forecast = 3.7608 Date_of_death = Apr2010 Forecast = 4.4600 Date_of_death = Apr2010 Forecast = 4.4600 Date_of_death = Mar2010 Forecast = 3.6422 Date_of_death = Mar2010 Forecast = 3.6422 Date_of_death = Feb2010 Forecast = 1.8217 Date_of_death = Feb2010 Forecast = 1.8217 Date_of_death = Jan2010 Forecast = 2.0496 Date_of_death = Jan2010 Forecast = 2.0496 Date_of_death = Dec2009 Forecast = 3.2796 Date_of_death = Dec2009 Forecast = 3.2796 Date_of_death = Nov2009 Forecast = 3.2922 Date_of_death = Nov2009 Forecast = 3.2922 Date_of_death = Oct2009 Forecast = 3.3231 Date_of_death = Oct2009 Forecast = 3.3231 Date_of_death = Sep2009 Forecast = 3.7274 Date_of_death = Sep2009 Forecast = 3.7274 Date_of_death = Aug2009 Forecast = 1.9940 Date_of_death = Aug2009 Forecast = 1.9940 Date_of_death = Jul2009 Forecast = 3.1574 Date_of_death = Jul2009 Forecast = 3.1574 Date_of_death = Jun2009 Forecast = 2.9509 Date_of_death = Jun2009 Forecast = 2.9509 Date_of_death = May2009 Forecast = 3.5446 Date_of_death = May2009 Forecast = 3.5446 Date_of_death = Apr2009 Forecast = 4.8561 Date_of_death = Apr2009 Forecast = 4.8561 Date_of_death = Mar2009 Forecast = 3.3767 Date_of_death = Mar2009 Forecast = 3.3767 Date_of_death = Feb2009 Forecast = 1.8967 Date_of_death = Feb2009 Forecast = 1.8967 Date_of_death = Jan2009 Forecast = 2.0135 Date_of_death = Jan2009 Forecast = 2.0135 Date_of_death = Dec2008 Forecast = 3.0050 Date_of_death = Dec2008 Forecast = 3.0050 Date_of_death = Nov2008 Forecast = 3.0312 Date_of_death = Nov2008 Forecast = 3.0312 Date_of_death = Oct2008 Forecast = 3.0632 Date_of_death = Oct2008 Forecast = 3.0632 Date_of_death = Sep2008 Forecast = 3.9646 Date_of_death = Sep2008 Forecast = 3.9646 Date_of_death = Aug2008 Forecast = 2.1138 Date_of_death = Aug2008 Forecast = 2.1138 Date_of_death = Jul2008 Forecast = 3.4615 Date_of_death = Jul2008 Forecast = 3.4615 Date_of_death = Jun2008 Forecast = 2.6591 Date_of_death = Jun2008 Forecast = 2.6591 Date_of_death = May2008 Forecast = 3.6102 Date_of_death = May2008 Forecast = 3.6102 Date_of_death = Apr2008 Forecast = 4.8325 Date_of_death = Apr2008 Forecast = 4.8325 Date_of_death = Mar2008 Forecast = 3.7050 Date_of_death = Mar2008 Forecast = 3.7050 Date_of_death = Feb2008 Forecast = 2.0089 Date_of_death = Feb2008 Forecast = 2.0089 Date_of_death = Jan2008 Forecast = 2.0275 Date_of_death = Jan2008 Forecast = 2.0275 Date_of_death = Dec2007 Forecast = 2.7133 Date_of_death = Dec2007 Forecast = 2.7133 Date_of_death = Nov2007 Forecast = 3.3923 Date_of_death = Nov2007 Forecast = 3.3923 Date_of_death = Oct2007 Forecast = 3.3930 Date_of_death = Oct2007 Forecast = 3.3930 Date_of_death = Sep2007 Forecast = 3.8077 Date_of_death = Sep2007 Forecast = 3.8077 Date_of_death = Aug2007 Forecast = 1.6650 Date_of_death = Aug2007 Forecast = 1.6650 Date_of_death = Jul2007 Forecast = 3.2514 Date_of_death = Jul2007 Forecast = 3.2514 Date_of_death = Jun2007 Forecast = 2.9322 Date_of_death = Jun2007 Forecast = 2.9322 Date_of_death = May2007 Forecast = 3.3879 Date_of_death = May2007 Forecast = 3.3879 Date_of_death = Apr2007 Forecast = 4.7990 Date_of_death = Apr2007 Forecast = 4.7990 Date_of_death = Mar2007 Forecast = 3.4851 Date_of_death = Mar2007 Forecast = 3.4851 Date_of_death = Feb2007 Forecast = 1.5242 Date_of_death = Feb2007 Forecast = 1.5242 Date_of_death = Jan2007 Forecast = 2.1954 Date_of_death = Jan2007 Forecast = 2.1954 Date_of_death = Dec2006 Forecast = 2.9865 Date_of_death = Dec2006 Forecast = 2.9865 Date_of_death = Nov2006 Forecast = 3.7815 Date_of_death = Nov2006 Forecast = 3.7815 Date_of_death = Oct2006 Forecast = 3.6190 Date_of_death = Oct2006 Forecast = 3.6190 Date_of_death = Sep2006 Forecast = 3.5932 Date_of_death = Sep2006 Forecast = 3.5932 Date_of_death = Aug2006 Forecast = 1.7990 Date_of_death = Aug2006 Forecast = 1.7990 Date_of_death = Jul2006 Forecast = 3.6479 Date_of_death = Jul2006 Forecast = 3.6479 Date_of_death = Jun2006 Forecast = 3.1038 Date_of_death = Jun2006 Forecast = 3.1038 Date_of_death = May2006 Forecast = 3.6496 Date_of_death = May2006 Forecast = 3.6496 Date_of_death = Apr2006 Forecast = 4.9657 Date_of_death = Apr2006 Forecast = 4.9657 Date_of_death = Mar2006 Forecast = 3.6191 Date_of_death = Mar2006 Forecast = 3.6191 Date_of_death = Feb2006 Forecast = 1.6527 Date_of_death = Feb2006 Forecast = 1.6527 Date_of_death = Jan2006 Forecast = 2.4393 Date_of_death = Jan2006 Forecast = 2.4393 Date_of_death = Dec2005 Forecast = 2.5750 Date_of_death = Dec2005 Forecast = 2.5750 Date_of_death = Nov2005 Forecast = 4.1847 Date_of_death = Nov2005 Forecast = 4.1847 Date_of_death = Oct2005 Forecast = 4.1994 Date_of_death = Oct2005 Forecast = 4.1994 Date_of_death = Sep2005 Forecast = 4.1646 Date_of_death = Sep2005 Forecast = 4.1646 Date_of_death = Aug2005 Forecast = 1.7720 Date_of_death = Aug2005 Forecast = 1.7720 Date_of_death = Jul2005 Forecast = 3.3900 Date_of_death = Jul2005 Forecast = 3.3900 Date_of_death = Jun2005 Forecast = 3.3635 Date_of_death = Jun2005 Forecast = 3.3635 Date_of_death = May2005 Forecast = 3.5906 Date_of_death = May2005 Forecast = 3.5906 Date_of_death = Apr2005 Forecast = 4.9792 Date_of_death = Apr2005 Forecast = 4.9792 Date_of_death = Mar2005 Forecast = 4.1932 Date_of_death = Mar2005 Forecast = 4.1932 Date_of_death = Feb2005 Forecast = 1.7976 Date_of_death = Feb2005 Forecast = 1.7976 Date_of_death = Jan2005 Forecast = 2.7790 Date_of_death = Jan2005 Forecast = 2.7790 Date_of_death = Dec2004 Forecast = 2.4820 Date_of_death = Dec2004 Forecast = 2.4820 Date_of_death = Nov2004 Forecast = 3.9863 Date_of_death = Nov2004 Forecast = 3.9863 Date_of_death = Oct2004 Forecast = 3.9959 Date_of_death = Oct2004 Forecast = 3.9959 Date_of_death = Sep2004 Forecast = 5.0009 Date_of_death = Sep2004 Forecast = 5.0009 Date_of_death = Aug2004 Forecast = 1.9839 Date_of_death = Aug2004 Forecast = 1.9839 Date_of_death = Jul2004 Forecast = 2.9830 Date_of_death = Jul2004 Forecast = 2.9830 Date_of_death = Jun2004 Forecast = 4.0039 Date_of_death = Jun2004 Forecast = 4.0039 Date_of_death = May2004 Forecast = 3.2364 Date_of_death = May2004 Forecast = 3.2364 Date_of_death = Apr2004 Forecast = 4.9837 Date_of_death = Apr2004 Forecast = 4.9837 Date_of_death = Mar2004 Forecast = 3.9899 Date_of_death = Mar2004 Forecast = 3.9899 Date_of_death = Feb2004 Forecast = 2.0068 Date_of_death = Feb2004 Forecast = 2.0068 Date_of_death = Jan2004 Forecast = 2.9849 Date_of_death = Jan2004 Forecast = 2.9849 Date_of_death = Dec2003 Forecast = 2.9976 Date_of_death = Dec2003 Forecast = 2.9976 Date_of_death = Nov2003 Forecast = 3.6515 Date_of_death = Nov2003 Forecast = 3.6515 Date_of_death = Oct2003 Forecast = 3.6519 Date_of_death = Oct2003 Forecast = 3.6519 Date_of_death = Sep2003 Forecast = 5.0019 Date_of_death = Sep2003 Forecast = 5.0019 Date_of_death = Aug2003 Forecast = 2.3286 Date_of_death = Aug2003 Forecast = 2.3286 Date_of_death = Jul2003 Forecast = 3.6515 Date_of_death = Jul2003 Forecast = 3.6515 Date_of_death = Jun2003 Forecast = 3.6668 Date_of_death = Jun2003 Forecast = 3.6668 Date_of_death = May2003 Forecast = 3.6687 Date_of_death = May2003 Forecast = 3.6687 Date_of_death = Apr2003 Forecast = 4.9867 Date_of_death = Apr2003 Forecast = 4.9867 Date_of_death = Mar2003 Forecast = 3.6512 Date_of_death = Mar2003 Forecast = 3.6512 Date_of_death = Feb2003 Forecast = 0.9884 Date_of_death = Feb2003 Forecast = 0.9884 Date_of_death = Jan2003 Forecast = 3.6654 Date_of_death = Jan2003 Forecast = 3.6654 Date_of_death = Dec2002 Forecast = 3.5009 Date_of_death = Dec2002 Forecast = 3.5009 Date_of_death = Nov2002 Forecast = 5.0015 Date_of_death = Nov2002 Forecast = 5.0015 Date_of_death = Oct2002 Forecast = 5.0001 Date_of_death = Oct2002 Forecast = 5.0001 Date_of_death = Sep2002 Forecast = 5.0060 Date_of_death = Sep2002 Forecast = 5.0060 Date_of_death = Aug2002 Forecast = 3.0054 Date_of_death = Aug2002 Forecast = 3.0054 Date_of_death = Jul2002 Forecast = 5.0078 Date_of_death = Jul2002 Forecast = 5.0078 Date_of_death = Jun2002 Forecast = 2.9950 Date_of_death = Jun2002 Forecast = 2.9950 Date_of_death = May2002 Forecast = 3.0100 Date_of_death = May2002 Forecast = 3.0100 Date_of_death = Apr2002 Forecast = 4.9999 Date_of_death = Apr2002 Forecast = 4.9999 Date_of_death = Mar2002 Forecast = 2.9971 Date_of_death = Mar2002 Forecast = 2.9971 Date_of_death = Feb2002 Forecast = 0.9979 Date_of_death = Feb2002 Forecast = 0.9979 Date_of_death = Jan2002 Forecast = 3.0006 Date_of_death = Jan2002 Forecast = 3.0006 Date_of_death = Dec2001 Forecast = 1.9976 Date_of_death = Dec2001 Forecast = 1.9976 Date_of_death = Nov2001 Forecast = 4.9973 Date_of_death = Nov2001 Forecast = 4.9973 Date_of_death = Oct2001 Forecast = 4.9971 Date_of_death = Oct2001 Forecast = 4.9971 Date_of_death = Sep2001 Forecast = 5.0013 Date_of_death = Sep2001 Forecast = 5.0013 Date_of_death = Aug2001 Forecast = 4.9993 Date_of_death = Aug2001 Forecast = 4.9993 Date_of_death = Jul2001 Forecast = 5.0038 Date_of_death = Jul2001 Forecast = 5.0038 Date_of_death = Jun2001 Forecast = 4.9976 Date_of_death = Jun2001 Forecast = 4.9976 Date_of_death = May2001 Forecast = 0.9996 Date_of_death = May2001 Forecast = 0.9996 Date_of_death = Apr2001 Forecast = 5.0040 Date_of_death = Apr2001 Forecast = 5.0040 Date_of_death = Mar2001 Forecast = 5.0022 Date_of_death = Mar2001 Forecast = 5.0022 Date_of_death = Feb2001 Forecast = 0.9980 Date_of_death = Feb2001 Forecast = 0.9980 Date_of_death = Jan2001 Forecast = 1.0000 Date_of_death = Aug2019 incidents = 2.0000 Date_of_death = Jul2019 incidents = 1.0000 Date_of_death = Jun2019 incidents = 2.0000 Date_of_death = May2019 incidents = 5.0000 Date_of_death = Apr2019 incidents = 2.0000 Date_of_death = Mar2019 incidents = 1.0000 Date_of_death = Feb2019 incidents = 1.0000 Date_of_death = Jan2019 incidents = 2.0000 Date_of_death = Dec2018 incidents = 2.0000 Date_of_death = Nov2018 incidents = 2.0000 Date_of_death = Oct2018 incidents = 5.0000 Date_of_death = Sep2018 incidents = 5.0000 Date_of_death = Aug2018 incidents = 5.0000 Date_of_death = Jul2018 incidents = 2.0000 Date_of_death = Jun2018 incidents = 1.0000 Date_of_death = May2018 incidents = 5.0000 Date_of_death = Apr2018 incidents = 1.0000 Date_of_death = Mar2018 incidents = 2.0000 Date_of_death = Feb2018 incidents = 1.0000 Date_of_death = Jan2018 incidents = 5.0000 Date_of_death = Dec2017 incidents = 1.0000 Date_of_death = Nov2017 incidents = 5.0000 Date_of_death = Oct2017 incidents = 1.0000 Date_of_death = Sep2017 incidents = 1.0000 Date_of_death = Aug2017 incidents = 5.0000 Date_of_death = Jul2017 incidents = 2.0000 Date_of_death = Jun2017 incidents = 5.0000 Date_of_death = May2017 incidents = 5.0000 Date_of_death = Apr2017 incidents = 5.0000 Date_of_death = Mar2017 incidents = 3.0000 Date_of_death = Feb2017 incidents = 5.0000 Date_of_death = Jan2017 incidents = 1.0000 Date_of_death = Dec2016 incidents = 1.0000 Date_of_death = Nov2016 incidents = 2.0000 Date_of_death = Oct2016 incidents = 1.0000 Date_of_death = Sep2016 incidents = 1.0000 Date_of_death = Aug2016 incidents = 1.0000 Date_of_death = Jul2016 incidents = 3.0000 Date_of_death = Jun2016 incidents = 5.0000 Date_of_death = May2016 incidents = 1.0000 Date_of_death = Apr2016 incidents = 1.0000 Date_of_death = Mar2016 incidents = 5.0000 Date_of_death = Feb2016 incidents = 5.0000 Date_of_death = Jan2016 incidents = 5.0000 Date_of_death = Dec2015 incidents = 3.0000 Date_of_death = Nov2015 incidents = 2.0000 Date_of_death = Oct2015 incidents = 3.0000 Date_of_death = Sep2015 incidents = 5.0000 Date_of_death = Aug2015 incidents = 1.0000 Date_of_death = Jul2015 incidents = 1.0000 Date_of_death = Jun2015 incidents = 5.0000 Date_of_death = May2015 incidents = 5.0000 Date_of_death = Apr2015 incidents = 1.0000 Date_of_death = Mar2015 incidents = 5.0000 Date_of_death = Feb2015 incidents = 1.0000 Date_of_death = Jan2015 incidents = 1.0000 Date_of_death = Dec2014 incidents = 3.0000 Date_of_death = Nov2014 incidents = 4.0000 Date_of_death = Oct2014 incidents = 5.0000 Date_of_death = Sep2014 incidents = 5.0000 Date_of_death = Aug2014 incidents = 5.0000 Date_of_death = Jul2014 incidents = 5.0000 Date_of_death = Jun2014 incidents = 5.0000 Date_of_death = May2014 incidents = 5.0000 Date_of_death = Apr2014 incidents = 1.0000 Date_of_death = Mar2014 incidents = 5.0000 Date_of_death = Feb2014 incidents = 5.0000 Date_of_death = Jan2014 incidents = 2.0000 Date_of_death = Dec2013 incidents = 1.0000 Date_of_death = Nov2013 incidents = 2.0000 Date_of_death = Oct2013 incidents = 1.0000 Date_of_death = Sep2013 incidents = 2.0000 Date_of_death = Aug2013 incidents = 1.0000 Date_of_death = Jul2013 incidents = 3.0000 Date_of_death = Jun2013 incidents = 5.0000 Date_of_death = May2013 incidents = 5.0000 Date_of_death = Apr2013 incidents = 5.0000 Date_of_death = Mar2013 incidents = 5.0000 Date_of_death = Feb2013 incidents = 3.0000 Date_of_death = Jan2013 incidents = 1.0000 Date_of_death = Dec2012 incidents = 3.0000 Date_of_death = Nov2012 incidents = 1.0000 Date_of_death = Oct2012 incidents = 2.0000 Date_of_death = Sep2012 incidents = 5.0000 Date_of_death = Aug2012 incidents = 5.0000 Date_of_death = Jul2012 incidents = 5.0000 Date_of_death = Jun2012 incidents = 1.0000 Date_of_death = May2012 incidents = 1.0000 Date_of_death = Apr2012 incidents = 5.0000 Date_of_death = Mar2012 incidents = 2.0000 Date_of_death = Feb2012 incidents = 2.0000 Date_of_death = Jan2012 incidents = 2.0000 Date_of_death = Dec2011 incidents = 3.0000 Date_of_death = Nov2011 incidents = 1.0000 Date_of_death = Oct2011 incidents = 2.0000 Date_of_death = Sep2011 incidents = 1.0000 Date_of_death = Aug2011 incidents = 5.0000 Date_of_death = Jul2011 incidents = 5.0000 Date_of_death = Jun2011 incidents = 2.0000 Date_of_death = May2011 incidents = 1.0000 Date_of_death = Apr2011 incidents = 1.0000 Date_of_death = Mar2011 incidents = 1.0000 Date_of_death = Feb2011 incidents = 5.0000 Date_of_death = Jan2011 incidents = 5.0000 Date_of_death = Dec2010 incidents = 1.0000 Date_of_death = Nov2010 incidents = 5.0000 Date_of_death = Oct2010 incidents = 1.0000 Date_of_death = Sep2010 incidents = 2.0000 Date_of_death = Aug2010 incidents = 5.0000 Date_of_death = Jul2010 incidents = 5.0000 Date_of_death = Jun2010 incidents = 5.0000 Date_of_death = May2010 incidents = 1.0000 Date_of_death = Apr2010 incidents = 5.0000 Date_of_death = Mar2010 incidents = 5.0000 Date_of_death = Feb2010 incidents = 1.0000 Date_of_death = Jan2010 incidents = 5.0000 Date_of_death = Dec2009 incidents = 5.0000 Date_of_death = Nov2009 incidents = 5.0000 Date_of_death = Oct2009 incidents = 5.0000 Date_of_death = Sep2009 incidents = 5.0000 Date_of_death = Aug2009 incidents = 5.0000 Date_of_death = Jul2009 incidents = 5.0000 Date_of_death = Jun2009 incidents = 5.0000 Date_of_death = May2009 incidents = 5.0000 Date_of_death = Apr2009 incidents = 1.0000 Date_of_death = Mar2009 incidents = 5.0000 Date_of_death = Feb2009 incidents = 1.0000 Date_of_death = Jan2009 incidents = 2.0000 Date_of_death = Dec2008 incidents = 5.0000 Date_of_death = Nov2008 incidents = 5.0000 Date_of_death = Oct2008 incidents = 5.0000 Date_of_death = Sep2008 incidents = 2.0000 Date_of_death = Aug2008 incidents = 1.0000 Date_of_death = Jul2008 incidents = 1.0000 Date_of_death = Jun2008 incidents = 5.0000 Date_of_death = May2008 incidents = 3.0000 Date_of_death = Apr2008 incidents = 5.0000 Date_of_death = Mar2008 incidents = 1.0000 Date_of_death = Feb2008 incidents = 1.0000 Date_of_death = Jan2008 incidents = 2.0000 Date_of_death = Dec2007 incidents = 5.0000 Date_of_death = Nov2007 incidents = 1.0000 Date_of_death = Oct2007 incidents = 1.0000 Date_of_death = Sep2007 incidents = 5.0000 Date_of_death = Aug2007 incidents = 5.0000 Date_of_death = Jul2007 incidents = 5.0000 Date_of_death = Jun2007 incidents = 1.0000 Date_of_death = May2007 incidents = 5.0000 Date_of_death = Apr2007 incidents = 5.0000 Date_of_death = Mar2007 incidents = 5.0000 Date_of_death = Feb2007 incidents = 5.0000 Date_of_death = Jan2007 incidents = 1.0000 Date_of_death = Dec2006 incidents = 1.0000 Date_of_death = Nov2006 incidents = 1.0000 Date_of_death = Oct2006 incidents = 2.0000 Date_of_death = Sep2006 incidents = 5.0000 Date_of_death = Aug2006 incidents = 1.0000 Date_of_death = Jul2006 incidents = 1.0000 Date_of_death = Jun2006 incidents = 2.0000 Date_of_death = May2006 incidents = 2.0000 Date_of_death = Apr2006 incidents = 4.0000 Date_of_death = Mar2006 incidents = 3.0000 Date_of_death = Feb2006 incidents = 1.0000 Date_of_death = Jan2006 incidents = 1.0000 Date_of_death = Dec2005 incidents = 5.0000 Date_of_death = Nov2005 incidents = 2.0000 Date_of_death = Oct2005 incidents = 1.0000 Date_of_death = Sep2005 incidents = 1.0000 Date_of_death = Aug2005 incidents = 2.0000 Date_of_death = Jul2005 incidents = 5.0000 Date_of_death = Jun2005 incidents = 2.0000 Date_of_death = May2005 incidents = 4.0000 Date_of_death = Apr2005 incidents = 5.0000 Date_of_death = Mar2005 incidents = 1.0000 Date_of_death = Feb2005 incidents = 1.0000 Date_of_death = Jan2005 incidents = 1.0000 Date_of_death = Dec2004 incidents = 3.0000 Date_of_death = Nov2004 incidents = 5.0000 Date_of_death = Oct2004 incidents = 5.0000 Date_of_death = Sep2004 incidents = 1.0000 Date_of_death = Aug2004 incidents = 1.0000 Date_of_death = Jul2004 incidents = 5.0000 Date_of_death = Jun2004 incidents = 1.0000 Date_of_death = May2004 incidents = 5.0000 Date_of_death = Apr2004 incidents = 5.0000 Date_of_death = Mar2004 incidents = 5.0000 Date_of_death = Feb2004 incidents = 1.0000 Date_of_death = Jan2004 incidents = 2.0000 Date_of_death = Dec2003 incidents = 1.0000 Date_of_death = Nov2003 incidents = 5.0000 Date_of_death = Oct2003 incidents = 5.0000 Date_of_death = Sep2003 incidents = 5.0000 Date_of_death = Aug2003 incidents = 1.0000 Date_of_death = Jul2003 incidents = 1.0000 Date_of_death = Jun2003 incidents = 5.0000 Date_of_death = May2003 incidents = 2.0000 Date_of_death = Apr2003 incidents = 5.0000 Date_of_death = Mar2003 incidents = 5.0000 Date_of_death = Feb2003 incidents = 5.0000 Date_of_death = Jan2003 incidents = 1.0000 Date_of_death = Dec2002 incidents = 2.0000 Date_of_death = Nov2002 incidents = 1.0000 Date_of_death = Oct2002 incidents = 1.0000 Date_of_death = Sep2002 incidents = 5.0000 Date_of_death = Aug2002 incidents = 1.0000 Date_of_death = Jul2002 incidents = 1.0000 Date_of_death = Jun2002 incidents = 5.0000 Date_of_death = May2002 incidents = 5.0000 Date_of_death = Apr2002 incidents = 5.0000 Date_of_death = Mar2002 incidents = 5.0000 Date_of_death = Feb2002 incidents = 1.0000 Date_of_death = Jan2002 incidents = 5.0000 Date_of_death = Dec2001 incidents = 5.0000 Date_of_death = Nov2001 incidents = 5.0000 Date_of_death = Oct2001 incidents = 5.0000 Date_of_death = Sep2001 incidents = 5.0000 Date_of_death = Aug2001 incidents = 1.0000 Date_of_death = Jul2001 incidents = 5.0000 Date_of_death = Jun2001 incidents = 1.0000 Date_of_death = May2001 incidents = 5.0000 Date_of_death = Apr2001 incidents = 5.0000 Date_of_death = Mar2001 incidents = 1.0000 Date_of_death = Feb2001 incidents = 1.0000 Date_of_death = Jan2001 incidents = 5.0000 Date_of_death = Aug2020 Upper 95% = 6.6483 Lower 95% = -0.7123 Date_of_death = Jul2020 Upper 95% = 6.7140 Lower 95% = -0.6466 Date_of_death = Jul2020 Upper 95% = 6.7140 Lower 95% = -0.6466 Date_of_death = Jun2020 Upper 95% = 7.0171 Lower 95% = -0.3434 Date_of_death = Jun2020 Upper 95% = 7.0171 Lower 95% = -0.3434 Date_of_death = May2020 Upper 95% = 7.3120 Lower 95% = -0.0484 Date_of_death = May2020 Upper 95% = 7.3120 Lower 95% = -0.0484 Date_of_death = Apr2020 Upper 95% = 6.9363 Lower 95% = -0.4239 Date_of_death = Apr2020 Upper 95% = 6.9363 Lower 95% = -0.4239 Date_of_death = Mar2020 Upper 95% = 7.0823 Lower 95% = -0.2779 Date_of_death = Mar2020 Upper 95% = 7.0823 Lower 95% = -0.2779 Date_of_death = Feb2020 Upper 95% = 6.0220 Lower 95% = -1.3380 Date_of_death = Feb2020 Upper 95% = 6.0220 Lower 95% = -1.3380 Date_of_death = Jan2020 Upper 95% = 6.1339 Lower 95% = -1.2260 Date_of_death = Jan2020 Upper 95% = 6.1339 Lower 95% = -1.2260 Date_of_death = Dec2019 Upper 95% = 6.2204 Lower 95% = -1.1442 Date_of_death = Dec2019 Upper 95% = 6.2204 Lower 95% = -1.1442 Date_of_death = Nov2019 Upper 95% = 6.7013 Lower 95% = -0.6632 Date_of_death = Nov2019 Upper 95% = 6.7013 Lower 95% = -0.6632 Date_of_death = Oct2019 Upper 95% = 6.5241 Lower 95% = -0.8402 Date_of_death = Oct2019 Upper 95% = 6.5241 Lower 95% = -0.8402 Date_of_death = Sep2019 Upper 95% = 6.9825 Lower 95% = -0.3817
Forecast Plot

County=San Bernardino

Series Span Summary

Estimation Span

County=San Bernardino

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 OCT2019 238 0 1.00000 4.00000 2.43277 1.33822

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 OCT2019 238 0 1.00000 4.00000 2.43277 1.33822

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.42664
Level Error Variance 0.53499
Season Error Variance 1.65660

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -403.6
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 238
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 226
AIC (smaller is better) 813.25
BIC (smaller is better) 823.51
AICC (smaller is better) 813.35
HQIC (smaller is better) 817.39
CAIC (smaller is better) 826.51
Likelihood Optimization Algorithm Converged in 5 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 1.65590 0.17204 9.63 <.0001
Level Error Variance 0.00328 0.0034844 0.94 0.3470
Season Error Variance 0.00412 0.0099024 0.42 0.6773

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 226
Mean Squared Error 2.05104
Root Mean Squared Error 1.43214
Mean Absolute Percentage Error 73.80365
Maximum Percent Error 74.38476
R-Square -0.16651
Adjusted R-Square -0.17698
Random Walk R-Square 0.35441
Amemiya's Adjusted R-Square -0.19790

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 6.39 0.0115
Level 1 56.80 <.0001
Season 11 10.81 0.4591

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.025889644 0.2688005

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00412

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 4.5821 Percent = 0.0308 Prediction Error = 4.5349 Percent = 0.0377 Prediction Error = 4.5349 Percent = 0.0377 Prediction Error = 4.4876 Percent = 0.0459 Prediction Error = 4.4876 Percent = 0.0459 Prediction Error = 4.4404 Percent = 0.0557 Prediction Error = 4.4404 Percent = 0.0557 Prediction Error = 4.3931 Percent = 0.0673 Prediction Error = 4.3931 Percent = 0.0673 Prediction Error = 4.3458 Percent = 0.0809 Prediction Error = 4.3458 Percent = 0.0809 Prediction Error = 4.2986 Percent = 0.0968 Prediction Error = 4.2986 Percent = 0.0968 Prediction Error = 4.2513 Percent = 0.1153 Prediction Error = 4.2513 Percent = 0.1153 Prediction Error = 4.2041 Percent = 0.1367 Prediction Error = 4.2041 Percent = 0.1367 Prediction Error = 4.1568 Percent = 0.1615 Prediction Error = 4.1568 Percent = 0.1615 Prediction Error = 4.1096 Percent = 0.1899 Prediction Error = 4.1096 Percent = 0.1899 Prediction Error = 4.0623 Percent = 0.2223 Prediction Error = 4.0623 Percent = 0.2223 Prediction Error = 4.015 Percent = 0.2592 Prediction Error = 4.015 Percent = 0.2592 Prediction Error = 3.9678 Percent = 0.301 Prediction Error = 3.9678 Percent = 0.301 Prediction Error = 3.9205 Percent = 0.348 Prediction Error = 3.9205 Percent = 0.348 Prediction Error = 3.8733 Percent = 0.4008 Prediction Error = 3.8733 Percent = 0.4008 Prediction Error = 3.826 Percent = 0.4597 Prediction Error = 3.826 Percent = 0.4597 Prediction Error = 3.7788 Percent = 0.5252 Prediction Error = 3.7788 Percent = 0.5252 Prediction Error = 3.7315 Percent = 0.5977 Prediction Error = 3.7315 Percent = 0.5977 Prediction Error = 3.6842 Percent = 0.6777 Prediction Error = 3.6842 Percent = 0.6777 Prediction Error = 3.637 Percent = 0.7654 Prediction Error = 3.637 Percent = 0.7654 Prediction Error = 3.5897 Percent = 0.8614 Prediction Error = 3.5897 Percent = 0.8614 Prediction Error = 3.5425 Percent = 0.9659 Prediction Error = 3.5425 Percent = 0.9659 Prediction Error = 3.4952 Percent = 1.0792 Prediction Error = 3.4952 Percent = 1.0792 Prediction Error = 3.448 Percent = 1.2017 Prediction Error = 3.448 Percent = 1.2017 Prediction Error = 3.4007 Percent = 1.3335 Prediction Error = 3.4007 Percent = 1.3335 Prediction Error = 3.3534 Percent = 1.4749 Prediction Error = 3.3534 Percent = 1.4749 Prediction Error = 3.3062 Percent = 1.6259 Prediction Error = 3.3062 Percent = 1.6259 Prediction Error = 3.2589 Percent = 1.7867 Prediction Error = 3.2589 Percent = 1.7867 Prediction Error = 3.2117 Percent = 1.9574 Prediction Error = 3.2117 Percent = 1.9574 Prediction Error = 3.1644 Percent = 2.1378 Prediction Error = 3.1644 Percent = 2.1378 Prediction Error = 3.1172 Percent = 2.3279 Prediction Error = 3.1172 Percent = 2.3279 Prediction Error = 3.0699 Percent = 2.5276 Prediction Error = 3.0699 Percent = 2.5276 Prediction Error = 3.0226 Percent = 2.7366 Prediction Error = 3.0226 Percent = 2.7366 Prediction Error = 2.9754 Percent = 2.9547 Prediction Error = 2.9754 Percent = 2.9547 Prediction Error = 2.9281 Percent = 3.1816 Prediction Error = 2.9281 Percent = 3.1816 Prediction Error = 2.8809 Percent = 3.4169 Prediction Error = 2.8809 Percent = 3.4169 Prediction Error = 2.7864 Percent = 3.9107 Prediction Error = 2.7864 Percent = 3.9107 Prediction Error = 2.6918 Percent = 4.4316 Prediction Error = 2.6918 Percent = 4.4316 Prediction Error = 2.3611 Percent = 6.3772 Prediction Error = 2.3611 Percent = 6.3772 Prediction Error = 2.2193 Percent = 7.2081 Prediction Error = 2.2193 Percent = 7.2081 Prediction Error = 2.1248 Percent = 7.7367 Prediction Error = 2.1248 Percent = 7.7367 Prediction Error = 2.0775 Percent = 7.9894 Prediction Error = 2.0775 Percent = 7.9894 Prediction Error = 2.0303 Percent = 8.2327 Prediction Error = 2.0303 Percent = 8.2327 Prediction Error = 1.983 Percent = 8.4652 Prediction Error = 1.983 Percent = 8.4652 Prediction Error = 1.9357 Percent = 8.6859 Prediction Error = 1.9357 Percent = 8.6859 Prediction Error = 1.8885 Percent = 8.8934 Prediction Error = 1.8885 Percent = 8.8934 Prediction Error = 1.8412 Percent = 9.087 Prediction Error = 1.8412 Percent = 9.087 Prediction Error = 1.794 Percent = 9.2656 Prediction Error = 1.794 Percent = 9.2656 Prediction Error = 1.7467 Percent = 9.4286 Prediction Error = 1.7467 Percent = 9.4286 Prediction Error = 1.6995 Percent = 9.5753 Prediction Error = 1.6995 Percent = 9.5753 Prediction Error = 1.6522 Percent = 9.7055 Prediction Error = 1.6522 Percent = 9.7055 Prediction Error = 1.6049 Percent = 9.819 Prediction Error = 1.6049 Percent = 9.819 Prediction Error = 1.5577 Percent = 9.9159 Prediction Error = 1.5577 Percent = 9.9159 Prediction Error = 1.5104 Percent = 9.9966 Prediction Error = 1.5104 Percent = 9.9966 Prediction Error = 1.4632 Percent = 10.061 Prediction Error = 1.4632 Percent = 10.061 Prediction Error = 1.4159 Percent = 10.111 Prediction Error = 1.4159 Percent = 10.111 Prediction Error = 1.3687 Percent = 10.147 Prediction Error = 1.3687 Percent = 10.147 Prediction Error = 1.3214 Percent = 10.171 Prediction Error = 1.3214 Percent = 10.171 Prediction Error = 1.2741 Percent = 10.183 Prediction Error = 1.2741 Percent = 10.183 Prediction Error = 1.2269 Percent = 10.186 Prediction Error = 1.2269 Percent = 10.186 Prediction Error = 1.1796 Percent = 10.182 Prediction Error = 1.1796 Percent = 10.182 Prediction Error = 1.1324 Percent = 10.171 Prediction Error = 1.1324 Percent = 10.171 Prediction Error = 1.0851 Percent = 10.157 Prediction Error = 1.0851 Percent = 10.157 Prediction Error = 1.0379 Percent = 10.142 Prediction Error = 1.0379 Percent = 10.142 Prediction Error = 0.9906 Percent = 10.127 Prediction Error = 0.9906 Percent = 10.127 Prediction Error = 0.9433 Percent = 10.115 Prediction Error = 0.9433 Percent = 10.115 Prediction Error = 0.8961 Percent = 10.108 Prediction Error = 0.8961 Percent = 10.108 Prediction Error = 0.8488 Percent = 10.108 Prediction Error = 0.8488 Percent = 10.108 Prediction Error = 0.8016 Percent = 10.116 Prediction Error = 0.8016 Percent = 10.116 Prediction Error = 0.7543 Percent = 10.135 Prediction Error = 0.7543 Percent = 10.135 Prediction Error = 0.7071 Percent = 10.165 Prediction Error = 0.7071 Percent = 10.165 Prediction Error = 0.6598 Percent = 10.209 Prediction Error = 0.6598 Percent = 10.209 Prediction Error = 0.6125 Percent = 10.266 Prediction Error = 0.6125 Percent = 10.266 Prediction Error = 0.5653 Percent = 10.338 Prediction Error = 0.5653 Percent = 10.338 Prediction Error = 0.518 Percent = 10.425 Prediction Error = 0.518 Percent = 10.425 Prediction Error = 0.4708 Percent = 10.527 Prediction Error = 0.4708 Percent = 10.527 Prediction Error = 0.4235 Percent = 10.644 Prediction Error = 0.4235 Percent = 10.644 Prediction Error = 0.3763 Percent = 10.776 Prediction Error = 0.3763 Percent = 10.776 Prediction Error = 0.329 Percent = 10.922 Prediction Error = 0.329 Percent = 10.922 Prediction Error = 0.2817 Percent = 11.081 Prediction Error = 0.2817 Percent = 11.081 Prediction Error = 0.2345 Percent = 11.252 Prediction Error = 0.2345 Percent = 11.252 Prediction Error = 0.1872 Percent = 11.434 Prediction Error = 0.1872 Percent = 11.434 Prediction Error = 0.14 Percent = 11.625 Prediction Error = 0.14 Percent = 11.625 Prediction Error = -0.144 Percent = 12.871 Prediction Error = -0.144 Percent = 12.871 Prediction Error = -0.238 Percent = 13.281 Prediction Error = -0.238 Percent = 13.281 Prediction Error = -0.285 Percent = 13.478 Prediction Error = -0.285 Percent = 13.478 Prediction Error = -0.333 Percent = 13.666 Prediction Error = -0.333 Percent = 13.666 Prediction Error = -0.38 Percent = 13.844 Prediction Error = -0.38 Percent = 13.844 Prediction Error = -0.427 Percent = 14.011 Prediction Error = -0.427 Percent = 14.011 Prediction Error = -0.474 Percent = 14.165 Prediction Error = -0.474 Percent = 14.165 Prediction Error = -0.522 Percent = 14.306 Prediction Error = -0.522 Percent = 14.306 Prediction Error = -0.569 Percent = 14.431 Prediction Error = -0.569 Percent = 14.431 Prediction Error = -0.616 Percent = 14.54 Prediction Error = -0.616 Percent = 14.54 Prediction Error = -0.663 Percent = 14.632 Prediction Error = -0.663 Percent = 14.632 Prediction Error = -0.711 Percent = 14.706 Prediction Error = -0.711 Percent = 14.706 Prediction Error = -0.758 Percent = 14.761 Prediction Error = -0.758 Percent = 14.761 Prediction Error = -0.805 Percent = 14.796 Prediction Error = -0.805 Percent = 14.796 Prediction Error = -0.852 Percent = 14.811 Prediction Error = -0.852 Percent = 14.811 Prediction Error = -0.9 Percent = 14.805 Prediction Error = -0.9 Percent = 14.805 Prediction Error = -0.947 Percent = 14.777 Prediction Error = -0.947 Percent = 14.777 Prediction Error = -0.994 Percent = 14.729 Prediction Error = -0.994 Percent = 14.729 Prediction Error = -1.041 Percent = 14.658 Prediction Error = -1.041 Percent = 14.658 Prediction Error = -1.089 Percent = 14.566 Prediction Error = -1.089 Percent = 14.566 Prediction Error = -1.136 Percent = 14.451 Prediction Error = -1.136 Percent = 14.451 Prediction Error = -1.183 Percent = 14.315 Prediction Error = -1.183 Percent = 14.315 Prediction Error = -1.23 Percent = 14.157 Prediction Error = -1.23 Percent = 14.157 Prediction Error = -1.278 Percent = 13.977 Prediction Error = -1.278 Percent = 13.977 Prediction Error = -1.325 Percent = 13.776 Prediction Error = -1.325 Percent = 13.776 Prediction Error = -1.372 Percent = 13.554 Prediction Error = -1.372 Percent = 13.554 Prediction Error = -1.42 Percent = 13.311 Prediction Error = -1.42 Percent = 13.311 Prediction Error = -1.467 Percent = 13.049 Prediction Error = -1.467 Percent = 13.049 Prediction Error = -1.514 Percent = 12.769 Prediction Error = -1.514 Percent = 12.769 Prediction Error = -1.561 Percent = 12.47 Prediction Error = -1.561 Percent = 12.47 Prediction Error = -1.609 Percent = 12.154 Prediction Error = -1.609 Percent = 12.154 Prediction Error = -1.656 Percent = 11.822 Prediction Error = -1.656 Percent = 11.822 Prediction Error = -1.703 Percent = 11.476 Prediction Error = -1.703 Percent = 11.476 Prediction Error = -1.75 Percent = 11.117 Prediction Error = -1.75 Percent = 11.117 Prediction Error = -2.223 Percent = 7.1455 Prediction Error = -2.223 Percent = 7.1455 Prediction Error = -2.317 Percent = 6.361 Prediction Error = -2.317 Percent = 6.361 Prediction Error = -2.412 Percent = 5.6109 Prediction Error = -2.412 Percent = 5.6109 Prediction Error = -2.459 Percent = 5.2521 Prediction Error = -2.459 Percent = 5.2521 Prediction Error = -2.506 Percent = 4.9056 Prediction Error = -2.506 Percent = 4.9056 Prediction Error = -2.554 Percent = 4.5722 Prediction Error = -2.554 Percent = 4.5722 Prediction Error = -2.601 Percent = 4.2527 Prediction Error = -2.601 Percent = 4.2527 Prediction Error = -2.648 Percent = 3.9476 Prediction Error = -2.648 Percent = 3.9476 Prediction Error = -2.695 Percent = 3.6574 Prediction Error = -2.695 Percent = 3.6574 Prediction Error = -2.743 Percent = 3.3822 Prediction Error = -2.743 Percent = 3.3822 Prediction Error = -2.79 Percent = 3.1221 Prediction Error = -2.79 Percent = 3.1221 Prediction Error = -2.837 Percent = 2.8771 Prediction Error = -2.837 Percent = 2.8771 Prediction Error = -2.884 Percent = 2.6469 Prediction Error = -2.884 Percent = 2.6469 Prediction Error = -2.932 Percent = 2.4311 Prediction Error = -2.932 Percent = 2.4311 Prediction Error = -2.979 Percent = 2.2295 Prediction Error = -2.979 Percent = 2.2295 Prediction Error = -3.026 Percent = 2.0415 Prediction Error = -3.026 Percent = 2.0415 Prediction Error = -3.073 Percent = 1.8665 Prediction Error = -3.073 Percent = 1.8665 Prediction Error = -3.121 Percent = 1.704 Prediction Error = -3.121 Percent = 1.704 Prediction Error = -3.168 Percent = 1.5532 Prediction Error = -3.168 Percent = 1.5532 Prediction Error = -3.215 Percent = 1.4137 Prediction Error = -3.215 Percent = 1.4137 Prediction Error = -3.263 Percent = 1.2846 Prediction Error = -3.263 Percent = 1.2846 Prediction Error = -3.31 Percent = 1.1654 Prediction Error = -3.31 Percent = 1.1654 Prediction Error = -3.357 Percent = 1.0555 Prediction Error = -3.357 Percent = 1.0555 Prediction Error = -3.404 Percent = 0.9543 Prediction Error = -3.404 Percent = 0.9543 Prediction Error = -3.452 Percent = 0.8611 Prediction Error = -3.452 Percent = 0.8611 Prediction Error = -3.499 Percent = 0.7754 Prediction Error = -3.499 Percent = 0.7754 Prediction Error = -3.546 Percent = 0.6968 Prediction Error = -3.546 Percent = 0.6968 Prediction Error = -3.593 Percent = 0.6247 Prediction Error = -3.593 Percent = 0.6247 Prediction Error = -3.641 Percent = 0.5587 Prediction Error = -3.641 Percent = 0.5587 Prediction Error = -3.688 Percent = 0.4984 Prediction Error = -3.688 Percent = 0.4984 Prediction Error = -3.735 Percent = 0.4435 Prediction Error = -3.735 Percent = 0.4435 Prediction Error = -3.782 Percent = 0.3934 Prediction Error = -3.782 Percent = 0.3934 Prediction Error = -3.83 Percent = 0.3479 Prediction Error = -3.83 Percent = 0.3479 Prediction Error = -3.877 Percent = 0.3067 Prediction Error = -3.877 Percent = 0.3067 Prediction Error = -3.924 Percent = 0.2695 Prediction Error = -3.924 Percent = 0.2695 Prediction Error = -3.971 Percent = 0.236 Prediction Error = -3.971 Percent = 0.236 Prediction Error = -4.019 Percent = 0.2059 Prediction Error = -4.019 Percent = 0.2059 Prediction Error = -4.066 Percent = 0.179 Prediction Error = -4.066 Percent = 0.179 Prediction Error = -4.113 Percent = 0.155 Prediction Error = -4.113 Percent = 0.155 Prediction Error = -4.16 Percent = 0.1337 Prediction Error = -4.16 Percent = 0.1337 Prediction Error = -4.208 Percent = 0.1149 Prediction Error = -4.208 Percent = 0.1149 Prediction Error = -4.255 Percent = 0.0982 Prediction Error = -4.255 Percent = 0.0982 Prediction Error = -4.302 Percent = 0.0837 Prediction Error = -4.302 Percent = 0.0837 Prediction Error = -4.349 Percent = 0.071 Prediction Error = -4.349 Percent = 0.071 Prediction Error = -4.397 Percent = 0.0599 Prediction Error = -4.397 Percent = 0.0599 Prediction Error = -4.444 Percent = 0.0504 Prediction Error = -4.444 Percent = 0.0504 Prediction Error = -4.491 Percent = 0.0421 Prediction Error = -4.491 Percent = 0.0421 Prediction Error = -4.538 Percent = 0.0351 Prediction Error = -4.538 Percent = 0.0351 Prediction Error = -4.586 Percent = 0.0291 Prediction Error = -4.586 Percent = 0.0291 Prediction Error = -4.633 Percent = 0.024 Prediction Error = -4.633 Percent = 0.024 Prediction Error = -4.68 Percent = 0.0197 Prediction Error = 4.2416 Percent = 0.1854 Prediction Error = 4.1982 Percent = 0.203 Prediction Error = 4.1982 Percent = 0.203 Prediction Error = 4.1547 Percent = 0.222 Prediction Error = 4.1547 Percent = 0.222 Prediction Error = 4.1113 Percent = 0.2426 Prediction Error = 4.1113 Percent = 0.2426 Prediction Error = 4.0678 Percent = 0.2648 Prediction Error = 4.0678 Percent = 0.2648 Prediction Error = 4.0244 Percent = 0.2888 Prediction Error = 4.0244 Percent = 0.2888 Prediction Error = 3.9809 Percent = 0.3147 Prediction Error = 3.9809 Percent = 0.3147 Prediction Error = 3.9374 Percent = 0.3426 Prediction Error = 3.9374 Percent = 0.3426 Prediction Error = 3.894 Percent = 0.3726 Prediction Error = 3.894 Percent = 0.3726 Prediction Error = 3.8505 Percent = 0.4049 Prediction Error = 3.8505 Percent = 0.4049 Prediction Error = 3.8071 Percent = 0.4396 Prediction Error = 3.8071 Percent = 0.4396 Prediction Error = 3.7636 Percent = 0.4768 Prediction Error = 3.7636 Percent = 0.4768 Prediction Error = 3.7202 Percent = 0.5167 Prediction Error = 3.7202 Percent = 0.5167 Prediction Error = 3.6767 Percent = 0.5594 Prediction Error = 3.6767 Percent = 0.5594 Prediction Error = 3.6333 Percent = 0.6051 Prediction Error = 3.6333 Percent = 0.6051 Prediction Error = 3.5898 Percent = 0.6539 Prediction Error = 3.5898 Percent = 0.6539 Prediction Error = 3.5463 Percent = 0.706 Prediction Error = 3.5463 Percent = 0.706 Prediction Error = 3.5029 Percent = 0.7616 Prediction Error = 3.5029 Percent = 0.7616 Prediction Error = 3.4594 Percent = 0.8208 Prediction Error = 3.4594 Percent = 0.8208 Prediction Error = 3.416 Percent = 0.8838 Prediction Error = 3.416 Percent = 0.8838 Prediction Error = 3.3725 Percent = 0.9507 Prediction Error = 3.3725 Percent = 0.9507 Prediction Error = 3.3291 Percent = 1.0218 Prediction Error = 3.3291 Percent = 1.0218 Prediction Error = 3.2856 Percent = 1.0971 Prediction Error = 3.2856 Percent = 1.0971 Prediction Error = 3.2421 Percent = 1.177 Prediction Error = 3.2421 Percent = 1.177 Prediction Error = 3.1987 Percent = 1.2615 Prediction Error = 3.1987 Percent = 1.2615 Prediction Error = 3.1552 Percent = 1.3508 Prediction Error = 3.1552 Percent = 1.3508 Prediction Error = 3.1118 Percent = 1.4451 Prediction Error = 3.1118 Percent = 1.4451 Prediction Error = 3.0683 Percent = 1.5446 Prediction Error = 3.0683 Percent = 1.5446 Prediction Error = 3.0249 Percent = 1.6494 Prediction Error = 3.0249 Percent = 1.6494 Prediction Error = 2.9814 Percent = 1.7597 Prediction Error = 2.9814 Percent = 1.7597 Prediction Error = 2.938 Percent = 1.8757 Prediction Error = 2.938 Percent = 1.8757 Prediction Error = 2.8945 Percent = 1.9974 Prediction Error = 2.8945 Percent = 1.9974 Prediction Error = 2.851 Percent = 2.1252 Prediction Error = 2.851 Percent = 2.1252 Prediction Error = 2.8076 Percent = 2.259 Prediction Error = 2.8076 Percent = 2.259 Prediction Error = 2.7641 Percent = 2.399 Prediction Error = 2.7641 Percent = 2.399 Prediction Error = 2.7207 Percent = 2.5454 Prediction Error = 2.7207 Percent = 2.5454 Prediction Error = 2.6772 Percent = 2.6982 Prediction Error = 2.6772 Percent = 2.6982 Prediction Error = 2.6338 Percent = 2.8576 Prediction Error = 2.6338 Percent = 2.8576 Prediction Error = 2.5903 Percent = 3.0236 Prediction Error = 2.5903 Percent = 3.0236 Prediction Error = 2.5469 Percent = 3.1964 Prediction Error = 2.5469 Percent = 3.1964 Prediction Error = 2.5034 Percent = 3.3759 Prediction Error = 2.5034 Percent = 3.3759 Prediction Error = 2.4599 Percent = 3.5622 Prediction Error = 2.4599 Percent = 3.5622 Prediction Error = 2.4165 Percent = 3.7553 Prediction Error = 2.4165 Percent = 3.7553 Prediction Error = 2.373 Percent = 3.9553 Prediction Error = 2.373 Percent = 3.9553 Prediction Error = 2.3296 Percent = 4.1621 Prediction Error = 2.3296 Percent = 4.1621 Prediction Error = 2.2861 Percent = 4.3757 Prediction Error = 2.2861 Percent = 4.3757 Prediction Error = 2.1992 Percent = 4.823 Prediction Error = 2.1992 Percent = 4.823 Prediction Error = 2.1123 Percent = 5.2966 Prediction Error = 2.1123 Percent = 5.2966 Prediction Error = 2.0254 Percent = 5.7954 Prediction Error = 2.0254 Percent = 5.7954 Prediction Error = 1.9385 Percent = 6.3178 Prediction Error = 1.9385 Percent = 6.3178 Prediction Error = 1.8516 Percent = 6.8621 Prediction Error = 1.8516 Percent = 6.8621 Prediction Error = 1.1997 Percent = 11.345 Prediction Error = 1.1997 Percent = 11.345 Prediction Error = 1.0694 Percent = 12.238 Prediction Error = 1.0694 Percent = 12.238 Prediction Error = 0.9824 Percent = 12.813 Prediction Error = 0.9824 Percent = 12.813 Prediction Error = 0.8955 Percent = 13.366 Prediction Error = 0.8955 Percent = 13.366 Prediction Error = 0.8086 Percent = 13.891 Prediction Error = 0.8086 Percent = 13.891 Prediction Error = 0.7652 Percent = 14.142 Prediction Error = 0.7652 Percent = 14.142 Prediction Error = 0.7217 Percent = 14.384 Prediction Error = 0.7217 Percent = 14.384 Prediction Error = 0.6783 Percent = 14.617 Prediction Error = 0.6783 Percent = 14.617 Prediction Error = 0.6348 Percent = 14.841 Prediction Error = 0.6348 Percent = 14.841 Prediction Error = 0.5913 Percent = 15.053 Prediction Error = 0.5913 Percent = 15.053 Prediction Error = 0.5479 Percent = 15.255 Prediction Error = 0.5479 Percent = 15.255 Prediction Error = 0.5044 Percent = 15.445 Prediction Error = 0.5044 Percent = 15.445 Prediction Error = 0.461 Percent = 15.624 Prediction Error = 0.461 Percent = 15.624 Prediction Error = 0.4175 Percent = 15.79 Prediction Error = 0.4175 Percent = 15.79 Prediction Error = 0.3741 Percent = 15.943 Prediction Error = 0.3741 Percent = 15.943 Prediction Error = 0.3306 Percent = 16.082 Prediction Error = 0.3306 Percent = 16.082 Prediction Error = 0.2872 Percent = 16.208 Prediction Error = 0.2872 Percent = 16.208 Prediction Error = 0.2437 Percent = 16.32 Prediction Error = 0.2437 Percent = 16.32 Prediction Error = 0.2002 Percent = 16.418 Prediction Error = 0.2002 Percent = 16.418 Prediction Error = 0.1568 Percent = 16.501 Prediction Error = 0.1568 Percent = 16.501 Prediction Error = 0.1133 Percent = 16.569 Prediction Error = 0.1133 Percent = 16.569 Prediction Error = 0.0699 Percent = 16.623 Prediction Error = 0.0699 Percent = 16.623 Prediction Error = 0.0264 Percent = 16.661 Prediction Error = 0.0264 Percent = 16.661 Prediction Error = -0.017 Percent = 16.684 Prediction Error = -0.017 Percent = 16.684 Prediction Error = -0.06 Percent = 16.692 Prediction Error = -0.06 Percent = 16.692 Prediction Error = -0.104 Percent = 16.684 Prediction Error = -0.104 Percent = 16.684 Prediction Error = -0.147 Percent = 16.661 Prediction Error = -0.147 Percent = 16.661 Prediction Error = -0.191 Percent = 16.623 Prediction Error = -0.191 Percent = 16.623 Prediction Error = -0.234 Percent = 16.569 Prediction Error = -0.234 Percent = 16.569 Prediction Error = -0.278 Percent = 16.501 Prediction Error = -0.278 Percent = 16.501 Prediction Error = -0.321 Percent = 16.418 Prediction Error = -0.321 Percent = 16.418 Prediction Error = -0.365 Percent = 16.32 Prediction Error = -0.365 Percent = 16.32 Prediction Error = -0.408 Percent = 16.208 Prediction Error = -0.408 Percent = 16.208 Prediction Error = -0.452 Percent = 16.082 Prediction Error = -0.452 Percent = 16.082 Prediction Error = -0.495 Percent = 15.943 Prediction Error = -0.495 Percent = 15.943 Prediction Error = -0.539 Percent = 15.79 Prediction Error = -0.539 Percent = 15.79 Prediction Error = -0.582 Percent = 15.624 Prediction Error = -0.582 Percent = 15.624 Prediction Error = -0.625 Percent = 15.445 Prediction Error = -0.625 Percent = 15.445 Prediction Error = -0.669 Percent = 15.255 Prediction Error = -0.669 Percent = 15.255 Prediction Error = -0.712 Percent = 15.053 Prediction Error = -0.712 Percent = 15.053 Prediction Error = -0.756 Percent = 14.841 Prediction Error = -0.756 Percent = 14.841 Prediction Error = -0.799 Percent = 14.617 Prediction Error = -0.799 Percent = 14.617 Prediction Error = -0.843 Percent = 14.384 Prediction Error = -0.843 Percent = 14.384 Prediction Error = -0.886 Percent = 14.142 Prediction Error = -0.886 Percent = 14.142 Prediction Error = -0.93 Percent = 13.891 Prediction Error = -0.93 Percent = 13.891 Prediction Error = -1.017 Percent = 13.366 Prediction Error = -1.017 Percent = 13.366 Prediction Error = -1.103 Percent = 12.813 Prediction Error = -1.103 Percent = 12.813 Prediction Error = -1.625 Percent = 9.2061 Prediction Error = -1.625 Percent = 9.2061 Prediction Error = -1.799 Percent = 8.0068 Prediction Error = -1.799 Percent = 8.0068 Prediction Error = -1.929 Percent = 7.1418 Prediction Error = -1.929 Percent = 7.1418 Prediction Error = -2.016 Percent = 6.5874 Prediction Error = -2.016 Percent = 6.5874 Prediction Error = -2.103 Percent = 6.0537 Prediction Error = -2.103 Percent = 6.0537 Prediction Error = -2.19 Percent = 5.5429 Prediction Error = -2.19 Percent = 5.5429 Prediction Error = -2.277 Percent = 5.0566 Prediction Error = -2.277 Percent = 5.0566 Prediction Error = -2.364 Percent = 4.596 Prediction Error = -2.364 Percent = 4.596 Prediction Error = -2.407 Percent = 4.3757 Prediction Error = -2.407 Percent = 4.3757 Prediction Error = -2.451 Percent = 4.1621 Prediction Error = -2.451 Percent = 4.1621 Prediction Error = -2.494 Percent = 3.9553 Prediction Error = -2.494 Percent = 3.9553 Prediction Error = -2.537 Percent = 3.7553 Prediction Error = -2.537 Percent = 3.7553 Prediction Error = -2.581 Percent = 3.5622 Prediction Error = -2.581 Percent = 3.5622 Prediction Error = -2.624 Percent = 3.3759 Prediction Error = -2.624 Percent = 3.3759 Prediction Error = -2.668 Percent = 3.1964 Prediction Error = -2.668 Percent = 3.1964 Prediction Error = -2.711 Percent = 3.0236 Prediction Error = -2.711 Percent = 3.0236 Prediction Error = -2.755 Percent = 2.8576 Prediction Error = -2.755 Percent = 2.8576 Prediction Error = -2.798 Percent = 2.6982 Prediction Error = -2.798 Percent = 2.6982 Prediction Error = -2.842 Percent = 2.5454 Prediction Error = -2.842 Percent = 2.5454 Prediction Error = -2.885 Percent = 2.399 Prediction Error = -2.885 Percent = 2.399 Prediction Error = -2.929 Percent = 2.259 Prediction Error = -2.929 Percent = 2.259 Prediction Error = -2.972 Percent = 2.1252 Prediction Error = -2.972 Percent = 2.1252 Prediction Error = -3.015 Percent = 1.9974 Prediction Error = -3.015 Percent = 1.9974 Prediction Error = -3.059 Percent = 1.8757 Prediction Error = -3.059 Percent = 1.8757 Prediction Error = -3.102 Percent = 1.7597 Prediction Error = -3.102 Percent = 1.7597 Prediction Error = -3.146 Percent = 1.6494 Prediction Error = -3.146 Percent = 1.6494 Prediction Error = -3.189 Percent = 1.5446 Prediction Error = -3.189 Percent = 1.5446 Prediction Error = -3.233 Percent = 1.4451 Prediction Error = -3.233 Percent = 1.4451 Prediction Error = -3.276 Percent = 1.3508 Prediction Error = -3.276 Percent = 1.3508 Prediction Error = -3.32 Percent = 1.2615 Prediction Error = -3.32 Percent = 1.2615 Prediction Error = -3.363 Percent = 1.177 Prediction Error = -3.363 Percent = 1.177 Prediction Error = -3.407 Percent = 1.0971 Prediction Error = -3.407 Percent = 1.0971 Prediction Error = -3.45 Percent = 1.0218 Prediction Error = -3.45 Percent = 1.0218 Prediction Error = -3.494 Percent = 0.9507 Prediction Error = -3.494 Percent = 0.9507 Prediction Error = -3.537 Percent = 0.8838 Prediction Error = -3.537 Percent = 0.8838 Prediction Error = -3.58 Percent = 0.8208 Prediction Error = -3.58 Percent = 0.8208 Prediction Error = -3.624 Percent = 0.7616 Prediction Error = -3.624 Percent = 0.7616 Prediction Error = -3.667 Percent = 0.706 Prediction Error = -3.667 Percent = 0.706 Prediction Error = -3.711 Percent = 0.6539 Prediction Error = -3.711 Percent = 0.6539 Prediction Error = -3.754 Percent = 0.6051 Prediction Error = -3.754 Percent = 0.6051 Prediction Error = -3.798 Percent = 0.5594 Prediction Error = -3.798 Percent = 0.5594 Prediction Error = -3.841 Percent = 0.5167 Prediction Error = -3.841 Percent = 0.5167 Prediction Error = -3.885 Percent = 0.4768 Prediction Error = -3.885 Percent = 0.4768 Prediction Error = -3.928 Percent = 0.4396 Prediction Error = -3.928 Percent = 0.4396 Prediction Error = -3.972 Percent = 0.4049 Prediction Error = -3.972 Percent = 0.4049 Prediction Error = -4.015 Percent = 0.3726 Prediction Error = -4.015 Percent = 0.3726 Prediction Error = -4.058 Percent = 0.3426 Prediction Error = -4.058 Percent = 0.3426 Prediction Error = -4.102 Percent = 0.3147 Prediction Error = -4.102 Percent = 0.3147 Prediction Error = -4.145 Percent = 0.2888 Prediction Error = -4.145 Percent = 0.2888 Prediction Error = -4.189 Percent = 0.2648 Prediction Error = -4.189 Percent = 0.2648 Prediction Error = -4.232 Percent = 0.2426 Prediction Error = -4.232 Percent = 0.2426 Prediction Error = -4.276 Percent = 0.222 Prediction Error = -4.276 Percent = 0.222 Prediction Error = -4.319 Percent = 0.203 Prediction Error = -4.319 Percent = 0.203 Prediction Error = -4.363 Percent = 0.1854 Prediction Error = 3 Percent = 1.3274 Prediction Error = 3 Percent = 1.3274 Prediction Error = 2.4 Percent = 6.1947 Prediction Error = 2.4 Percent = 6.1947 Prediction Error = 1.8 Percent = 10.619 Prediction Error = 1.8 Percent = 10.619 Prediction Error = 1.2 Percent = 13.274 Prediction Error = 1.2 Percent = 13.274 Prediction Error = 0.6 Percent = 6.1947 Prediction Error = 0.6 Percent = 6.1947 Prediction Error = 0 Percent = 13.274 Prediction Error = 0 Percent = 13.274 Prediction Error = -0.6 Percent = 15.487 Prediction Error = -0.6 Percent = 15.487 Prediction Error = -1.2 Percent = 15.487 Prediction Error = -1.2 Percent = 15.487 Prediction Error = -1.8 Percent = 14.602 Prediction Error = -1.8 Percent = 14.602 Prediction Error = -2.4 Percent = 1.7699 Prediction Error = -2.4 Percent = 1.7699 Prediction Error = -3 Percent = 1.7699 Prediction Error = -3 Percent = 1.7699 Quantile = 2.7747 Residual = 2.9754 Quantile = 2.448 Residual = 2.9654 Quantile = 2.2701 Residual = 2.9578 Quantile = 2.1439 Residual = 2.6716 Quantile = 2.0447 Residual = 2.6613 Quantile = 1.9623 Residual = 2.66 Quantile = 1.8915 Residual = 2.5496 Quantile = 1.829 Residual = 2.5121 Quantile = 1.7729 Residual = 2.41 Quantile = 1.7219 Residual = 2.3989 Quantile = 1.6751 Residual = 2.3724 Quantile = 1.6316 Residual = 2.3518 Quantile = 1.591 Residual = 2.2764 Quantile = 1.5529 Residual = 2.2748 Quantile = 1.5169 Residual = 2.1867 Quantile = 1.4828 Residual = 2.1652 Quantile = 1.4503 Residual = 2.1556 Quantile = 1.4193 Residual = 2.0401 Quantile = 1.3896 Residual = 2.0362 Quantile = 1.3611 Residual = 2.0288 Quantile = 1.3336 Residual = 2 Quantile = 1.3072 Residual = 1.9844 Quantile = 1.2816 Residual = 1.9563 Quantile = 1.2568 Residual = 1.9391 Quantile = 1.2327 Residual = 1.918 Quantile = 1.2094 Residual = 1.9079 Quantile = 1.1867 Residual = 1.8746 Quantile = 1.1646 Residual = 1.8579 Quantile = 1.143 Residual = 1.7851 Quantile = 1.122 Residual = 1.7593 Quantile = 1.1014 Residual = 1.7392 Quantile = 1.0813 Residual = 1.6862 Quantile = 1.0616 Residual = 1.634 Quantile = 1.0424 Residual = 1.6192 Quantile = 1.0235 Residual = 1.6059 Quantile = 1.005 Residual = 1.5681 Quantile = 0.9868 Residual = 1.5539 Quantile = 0.9689 Residual = 1.5409 Quantile = 0.9513 Residual = 1.5397 Quantile = 0.9341 Residual = 1.5377 Quantile = 0.9171 Residual = 1.5175 Quantile = 0.9003 Residual = 1.4991 Quantile = 0.8838 Residual = 1.4946 Quantile = 0.8676 Residual = 1.4699 Quantile = 0.8515 Residual = 1.4621 Quantile = 0.8357 Residual = 1.4584 Quantile = 0.8201 Residual = 1.4512 Quantile = 0.8047 Residual = 1.4501 Quantile = 0.7895 Residual = 1.4485 Quantile = 0.7744 Residual = 1.4374 Quantile = 0.7596 Residual = 1.4252 Quantile = 0.7449 Residual = 1.4142 Quantile = 0.7303 Residual = 1.3583 Quantile = 0.7159 Residual = 1.327 Quantile = 0.7017 Residual = 1.3161 Quantile = 0.6876 Residual = 1.2789 Quantile = 0.6736 Residual = 1.2397 Quantile = 0.6598 Residual = 1.2135 Quantile = 0.6461 Residual = 1.1732 Quantile = 0.6325 Residual = 1.1516 Quantile = 0.619 Residual = 1.1472 Quantile = 0.6056 Residual = 1.1209 Quantile = 0.5924 Residual = 1.0664 Quantile = 0.5792 Residual = 1.0435 Quantile = 0.5662 Residual = 0.9879 Quantile = 0.5532 Residual = 0.9807 Quantile = 0.5404 Residual = 0.9436 Quantile = 0.5276 Residual = 0.9404 Quantile = 0.5149 Residual = 0.9257 Quantile = 0.5023 Residual = 0.924 Quantile = 0.4898 Residual = 0.9132 Quantile = 0.4773 Residual = 0.8845 Quantile = 0.4649 Residual = 0.8158 Quantile = 0.4526 Residual = 0.7262 Quantile = 0.4404 Residual = 0.7221 Quantile = 0.4282 Residual = 0.7108 Quantile = 0.4161 Residual = 0.6603 Quantile = 0.404 Residual = 0.6223 Quantile = 0.392 Residual = 0.5792 Quantile = 0.3801 Residual = 0.5369 Quantile = 0.3682 Residual = 0.533 Quantile = 0.3564 Residual = 0.4738 Quantile = 0.3446 Residual = 0.3486 Quantile = 0.3329 Residual = 0.3383 Quantile = 0.3212 Residual = 0.3175 Quantile = 0.3095 Residual = 0.2346 Quantile = 0.2979 Residual = 0.2197 Quantile = 0.2864 Residual = 0.0823 Quantile = 0.2749 Residual = 0.069 Quantile = 0.2634 Residual = 0.0568 Quantile = 0.2519 Residual = 0.0499 Quantile = 0.2405 Residual = 0.0478 Quantile = 0.2291 Residual = 0.0245 Quantile = 0.2177 Residual = 0.021 Quantile = 0.2064 Residual = 0.0053 Quantile = 0.1951 Residual = -0.007 Quantile = 0.1838 Residual = -0.008 Quantile = 0.1726 Residual = -0.019 Quantile = 0.1613 Residual = -0.027 Quantile = 0.1501 Residual = -0.035 Quantile = 0.1389 Residual = -0.041 Quantile = 0.1278 Residual = -0.047 Quantile = 0.1166 Residual = -0.049 Quantile = 0.1054 Residual = -0.049 Quantile = 0.0943 Residual = -0.051 Quantile = 0.0832 Residual = -0.055 Quantile = 0.0721 Residual = -0.056 Quantile = 0.061 Residual = -0.075 Quantile = 0.0499 Residual = -0.083 Quantile = 0.0388 Residual = -0.095 Quantile = 0.0277 Residual = -0.191 Quantile = 0.0166 Residual = -0.211 Quantile = 0.0055 Residual = -0.223 Quantile = -0.006 Residual = -0.245 Quantile = -0.017 Residual = -0.298 Quantile = -0.028 Residual = -0.337 Quantile = -0.039 Residual = -0.347 Quantile = -0.05 Residual = -0.363 Quantile = -0.061 Residual = -0.396 Quantile = -0.072 Residual = -0.424 Quantile = -0.083 Residual = -0.45 Quantile = -0.094 Residual = -0.486 Quantile = -0.105 Residual = -0.488 Quantile = -0.117 Residual = -0.522 Quantile = -0.128 Residual = -0.523 Quantile = -0.139 Residual = -0.541 Quantile = -0.15 Residual = -0.556 Quantile = -0.161 Residual = -0.561 Quantile = -0.173 Residual = -0.565 Quantile = -0.184 Residual = -0.575 Quantile = -0.195 Residual = -0.591 Quantile = -0.206 Residual = -0.628 Quantile = -0.218 Residual = -0.658 Quantile = -0.229 Residual = -0.675 Quantile = -0.24 Residual = -0.706 Quantile = -0.252 Residual = -0.711 Quantile = -0.263 Residual = -0.725 Quantile = -0.275 Residual = -0.737 Quantile = -0.286 Residual = -0.745 Quantile = -0.298 Residual = -0.749 Quantile = -0.31 Residual = -0.754 Quantile = -0.321 Residual = -0.754 Quantile = -0.333 Residual = -0.779 Quantile = -0.345 Residual = -0.783 Quantile = -0.356 Residual = -0.794 Quantile = -0.368 Residual = -0.825 Quantile = -0.38 Residual = -0.826 Quantile = -0.392 Residual = -0.839 Quantile = -0.404 Residual = -0.854 Quantile = -0.416 Residual = -0.893 Quantile = -0.428 Residual = -0.911 Quantile = -0.44 Residual = -0.933 Quantile = -0.453 Residual = -0.953 Quantile = -0.465 Residual = -0.954 Quantile = -0.477 Residual = -0.98 Quantile = -0.49 Residual = -1.001 Quantile = -0.502 Residual = -1.004 Quantile = -0.515 Residual = -1.034 Quantile = -0.528 Residual = -1.039 Quantile = -0.54 Residual = -1.044 Quantile = -0.553 Residual = -1.051 Quantile = -0.566 Residual = -1.064 Quantile = -0.579 Residual = -1.07 Quantile = -0.592 Residual = -1.078 Quantile = -0.606 Residual = -1.096 Quantile = -0.619 Residual = -1.117 Quantile = -0.632 Residual = -1.129 Quantile = -0.646 Residual = -1.146 Quantile = -0.66 Residual = -1.158 Quantile = -0.674 Residual = -1.163 Quantile = -0.688 Residual = -1.173 Quantile = -0.702 Residual = -1.196 Quantile = -0.716 Residual = -1.206 Quantile = -0.73 Residual = -1.228 Quantile = -0.745 Residual = -1.251 Quantile = -0.76 Residual = -1.276 Quantile = -0.774 Residual = -1.276 Quantile = -0.789 Residual = -1.28 Quantile = -0.805 Residual = -1.36 Quantile = -0.82 Residual = -1.381 Quantile = -0.836 Residual = -1.463 Quantile = -0.852 Residual = -1.463 Quantile = -0.868 Residual = -1.48 Quantile = -0.884 Residual = -1.485 Quantile = -0.9 Residual = -1.491 Quantile = -0.917 Residual = -1.505 Quantile = -0.934 Residual = -1.522 Quantile = -0.951 Residual = -1.528 Quantile = -0.969 Residual = -1.536 Quantile = -0.987 Residual = -1.54 Quantile = -1.005 Residual = -1.548 Quantile = -1.023 Residual = -1.587 Quantile = -1.042 Residual = -1.605 Quantile = -1.062 Residual = -1.649 Quantile = -1.081 Residual = -1.671 Quantile = -1.101 Residual = -1.706 Quantile = -1.122 Residual = -1.714 Quantile = -1.143 Residual = -1.715 Quantile = -1.165 Residual = -1.735 Quantile = -1.187 Residual = -1.741 Quantile = -1.209 Residual = -1.744 Quantile = -1.233 Residual = -1.767 Quantile = -1.257 Residual = -1.798 Quantile = -1.282 Residual = -1.822 Quantile = -1.307 Residual = -1.831 Quantile = -1.334 Residual = -1.852 Quantile = -1.361 Residual = -1.898 Quantile = -1.39 Residual = -1.899 Quantile = -1.419 Residual = -1.975 Quantile = -1.45 Residual = -1.975 Quantile = -1.483 Residual = -1.988 Quantile = -1.517 Residual = -1.995 Quantile = -1.553 Residual = -1.996 Quantile = -1.591 Residual = -2.005 Quantile = -1.632 Residual = -2.026 Quantile = -1.675 Residual = -2.036 Quantile = -1.722 Residual = -2.069 Quantile = -1.773 Residual = -2.079 Quantile = -1.829 Residual = -2.111 Quantile = -1.891 Residual = -2.25 Quantile = -1.962 Residual = -2.366 Quantile = -2.045 Residual = -2.484 Quantile = -2.144 Residual = -2.7 Quantile = -2.27 Residual = -2.983 Quantile = -2.448 Residual = -3.004 Quantile = -2.775 Residual = -3.073 Slope = 1.434 Y = -0.06 Lag = 24 ACF = 0.041 Lag = 23 ACF = -0.071 Lag = 22 ACF = 0.1536 Lag = 21 ACF = -0.076 Lag = 20 ACF = 0.0186 Lag = 19 ACF = -0.078 Lag = 18 ACF = 0.0891 Lag = 17 ACF = 0.0356 Lag = 16 ACF = 0.0947 Lag = 15 ACF = 0.0063 Lag = 14 ACF = -0.04 Lag = 13 ACF = -0.01 Lag = 12 ACF = 0.0145 Lag = 11 ACF = -0.091 Lag = 10 ACF = 0.0788 Lag = 9 ACF = 0.0787 Lag = 8 ACF = -0.058 Lag = 7 ACF = -0.05 Lag = 6 ACF = 0.0366 Lag = 5 ACF = 0.001 Lag = 4 ACF = 0.0076 Lag = 3 ACF = -0.063 Lag = 2 ACF = -0.023 Lag = 1 ACF = -0.012 Lag = 0 ACF = 1 Lag = 24 Lower = -0.145 Upper = 0.145 Lag = 23 Lower = -0.144 Upper = 0.1443 Lag = 23 Lower = -0.144 Upper = 0.1443 Lag = 22 Lower = -0.141 Upper = 0.1414 Lag = 22 Lower = -0.141 Upper = 0.1414 Lag = 21 Lower = -0.141 Upper = 0.1407 Lag = 21 Lower = -0.141 Upper = 0.1407 Lag = 20 Lower = -0.141 Upper = 0.1406 Lag = 20 Lower = -0.141 Upper = 0.1406 Lag = 19 Lower = -0.14 Upper = 0.1399 Lag = 19 Lower = -0.14 Upper = 0.1399 Lag = 18 Lower = -0.139 Upper = 0.1389 Lag = 18 Lower = -0.139 Upper = 0.1389 Lag = 17 Lower = -0.139 Upper = 0.1387 Lag = 17 Lower = -0.139 Upper = 0.1387 Lag = 16 Lower = -0.138 Upper = 0.1376 Lag = 16 Lower = -0.138 Upper = 0.1376 Lag = 15 Lower = -0.138 Upper = 0.1375 Lag = 15 Lower = -0.138 Upper = 0.1375 Lag = 14 Lower = -0.137 Upper = 0.1373 Lag = 14 Lower = -0.137 Upper = 0.1373 Lag = 13 Lower = -0.137 Upper = 0.1373 Lag = 13 Lower = -0.137 Upper = 0.1373 Lag = 12 Lower = -0.137 Upper = 0.1373 Lag = 12 Lower = -0.137 Upper = 0.1373 Lag = 11 Lower = -0.136 Upper = 0.1362 Lag = 11 Lower = -0.136 Upper = 0.1362 Lag = 10 Lower = -0.135 Upper = 0.1354 Lag = 10 Lower = -0.135 Upper = 0.1354 Lag = 9 Lower = -0.135 Upper = 0.1346 Lag = 9 Lower = -0.135 Upper = 0.1346 Lag = 8 Lower = -0.134 Upper = 0.1342 Lag = 8 Lower = -0.134 Upper = 0.1342 Lag = 7 Lower = -0.134 Upper = 0.1338 Lag = 7 Lower = -0.134 Upper = 0.1338 Lag = 6 Lower = -0.134 Upper = 0.1337 Lag = 6 Lower = -0.134 Upper = 0.1337 Lag = 5 Lower = -0.134 Upper = 0.1337 Lag = 5 Lower = -0.134 Upper = 0.1337 Lag = 4 Lower = -0.134 Upper = 0.1337 Lag = 4 Lower = -0.134 Upper = 0.1337 Lag = 3 Lower = -0.133 Upper = 0.1331 Lag = 3 Lower = -0.133 Upper = 0.1331 Lag = 2 Lower = -0.133 Upper = 0.1331 Lag = 2 Lower = -0.133 Upper = 0.1331 Lag = 1 Lower = -0.133 Upper = 0.133 Lag = 1 Lower = -0.133 Upper = 0.133 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = 0.0593 Lag = 23 PACF = -0.056 Lag = 22 PACF = 0.1279 Lag = 21 PACF = -0.064 Lag = 20 PACF = 0.0403 Lag = 19 PACF = -0.087 Lag = 18 PACF = 0.0879 Lag = 17 PACF = 0.056 Lag = 16 PACF = 0.095 Lag = 15 PACF = -0.002 Lag = 14 PACF = -0.051 Lag = 13 PACF = -57E-6 Lag = 12 PACF = 0.0246 Lag = 11 PACF = -0.095 Lag = 10 PACF = 0.073 Lag = 9 PACF = 0.0801 Lag = 8 PACF = -0.058 Lag = 7 PACF = -0.048 Lag = 6 PACF = 0.033 Lag = 5 PACF = -0.002 Lag = 4 PACF = 0.0054 Lag = 3 PACF = -0.064 Lag = 2 PACF = -0.023 Lag = 1 PACF = -0.012 Lag = 24 Lower = -0.133 Upper = 0.133 Lag = 23 Lower = -0.133 Upper = 0.133 Lag = 23 Lower = -0.133 Upper = 0.133 Lag = 22 Lower = -0.133 Upper = 0.133 Lag = 22 Lower = -0.133 Upper = 0.133 Lag = 21 Lower = -0.133 Upper = 0.133 Lag = 21 Lower = -0.133 Upper = 0.133 Lag = 20 Lower = -0.133 Upper = 0.133 Lag = 20 Lower = -0.133 Upper = 0.133 Lag = 19 Lower = -0.133 Upper = 0.133 Lag = 19 Lower = -0.133 Upper = 0.133 Lag = 18 Lower = -0.133 Upper = 0.133 Lag = 18 Lower = -0.133 Upper = 0.133 Lag = 17 Lower = -0.133 Upper = 0.133 Lag = 17 Lower = -0.133 Upper = 0.133 Lag = 16 Lower = -0.133 Upper = 0.133 Lag = 16 Lower = -0.133 Upper = 0.133 Lag = 15 Lower = -0.133 Upper = 0.133 Lag = 15 Lower = -0.133 Upper = 0.133 Lag = 14 Lower = -0.133 Upper = 0.133 Lag = 14 Lower = -0.133 Upper = 0.133 Lag = 13 Lower = -0.133 Upper = 0.133 Lag = 13 Lower = -0.133 Upper = 0.133 Lag = 12 Lower = -0.133 Upper = 0.133 Lag = 12 Lower = -0.133 Upper = 0.133 Lag = 11 Lower = -0.133 Upper = 0.133 Lag = 11 Lower = -0.133 Upper = 0.133 Lag = 10 Lower = -0.133 Upper = 0.133 Lag = 10 Lower = -0.133 Upper = 0.133 Lag = 9 Lower = -0.133 Upper = 0.133 Lag = 9 Lower = -0.133 Upper = 0.133 Lag = 8 Lower = -0.133 Upper = 0.133 Lag = 8 Lower = -0.133 Upper = 0.133 Lag = 7 Lower = -0.133 Upper = 0.133 Lag = 7 Lower = -0.133 Upper = 0.133 Lag = 6 Lower = -0.133 Upper = 0.133 Lag = 6 Lower = -0.133 Upper = 0.133 Lag = 5 Lower = -0.133 Upper = 0.133 Lag = 5 Lower = -0.133 Upper = 0.133 Lag = 4 Lower = -0.133 Upper = 0.133 Lag = 4 Lower = -0.133 Upper = 0.133 Lag = 3 Lower = -0.133 Upper = 0.133 Lag = 3 Lower = -0.133 Upper = 0.133 Lag = 2 Lower = -0.133 Upper = 0.133 Lag = 2 Lower = -0.133 Upper = 0.133 Lag = 1 Lower = -0.133 Upper = 0.133
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Oct2019 Loess Fit = -0.511 Date_of_death = Aug2019 Loess Fit = -0.5 Date_of_death = Aug2019 Loess Fit = -0.5 Date_of_death = Jul2019 Loess Fit = -0.488 Date_of_death = Jul2019 Loess Fit = -0.488 Date_of_death = Jun2019 Loess Fit = -0.476 Date_of_death = Jun2019 Loess Fit = -0.476 Date_of_death = May2019 Loess Fit = -0.464 Date_of_death = May2019 Loess Fit = -0.464 Date_of_death = Apr2019 Loess Fit = -0.452 Date_of_death = Apr2019 Loess Fit = -0.452 Date_of_death = Mar2019 Loess Fit = -0.441 Date_of_death = Mar2019 Loess Fit = -0.441 Date_of_death = Feb2019 Loess Fit = -0.429 Date_of_death = Feb2019 Loess Fit = -0.429 Date_of_death = Dec2018 Loess Fit = -0.417 Date_of_death = Dec2018 Loess Fit = -0.417 Date_of_death = Nov2018 Loess Fit = -0.405 Date_of_death = Nov2018 Loess Fit = -0.405 Date_of_death = Oct2018 Loess Fit = -0.393 Date_of_death = Oct2018 Loess Fit = -0.393 Date_of_death = Sep2018 Loess Fit = -0.382 Date_of_death = Sep2018 Loess Fit = -0.382 Date_of_death = Aug2018 Loess Fit = -0.37 Date_of_death = Aug2018 Loess Fit = -0.37 Date_of_death = Jul2018 Loess Fit = -0.359 Date_of_death = Jul2018 Loess Fit = -0.359 Date_of_death = Jun2018 Loess Fit = -0.348 Date_of_death = Jun2018 Loess Fit = -0.348 Date_of_death = May2018 Loess Fit = -0.337 Date_of_death = May2018 Loess Fit = -0.337 Date_of_death = Apr2018 Loess Fit = -0.326 Date_of_death = Apr2018 Loess Fit = -0.326 Date_of_death = Feb2018 Loess Fit = -0.315 Date_of_death = Feb2018 Loess Fit = -0.315 Date_of_death = Jan2018 Loess Fit = -0.304 Date_of_death = Jan2018 Loess Fit = -0.304 Date_of_death = Dec2017 Loess Fit = -0.293 Date_of_death = Dec2017 Loess Fit = -0.293 Date_of_death = Nov2017 Loess Fit = -0.282 Date_of_death = Nov2017 Loess Fit = -0.282 Date_of_death = Oct2017 Loess Fit = -0.271 Date_of_death = Oct2017 Loess Fit = -0.271 Date_of_death = Sep2017 Loess Fit = -0.26 Date_of_death = Sep2017 Loess Fit = -0.26 Date_of_death = Aug2017 Loess Fit = -0.249 Date_of_death = Aug2017 Loess Fit = -0.249 Date_of_death = Jul2017 Loess Fit = -0.238 Date_of_death = Jul2017 Loess Fit = -0.238 Date_of_death = May2017 Loess Fit = -0.227 Date_of_death = May2017 Loess Fit = -0.227 Date_of_death = Apr2017 Loess Fit = -0.217 Date_of_death = Apr2017 Loess Fit = -0.217 Date_of_death = Mar2017 Loess Fit = -0.207 Date_of_death = Mar2017 Loess Fit = -0.207 Date_of_death = Feb2017 Loess Fit = -0.197 Date_of_death = Feb2017 Loess Fit = -0.197 Date_of_death = Jan2017 Loess Fit = -0.187 Date_of_death = Jan2017 Loess Fit = -0.187 Date_of_death = Dec2016 Loess Fit = -0.177 Date_of_death = Dec2016 Loess Fit = -0.177 Date_of_death = Nov2016 Loess Fit = -0.167 Date_of_death = Nov2016 Loess Fit = -0.167 Date_of_death = Sep2016 Loess Fit = -0.157 Date_of_death = Sep2016 Loess Fit = -0.157 Date_of_death = Aug2016 Loess Fit = -0.147 Date_of_death = Aug2016 Loess Fit = -0.147 Date_of_death = Jul2016 Loess Fit = -0.137 Date_of_death = Jul2016 Loess Fit = -0.137 Date_of_death = Jun2016 Loess Fit = -0.127 Date_of_death = Jun2016 Loess Fit = -0.127 Date_of_death = May2016 Loess Fit = -0.117 Date_of_death = May2016 Loess Fit = -0.117 Date_of_death = Apr2016 Loess Fit = -0.107 Date_of_death = Apr2016 Loess Fit = -0.107 Date_of_death = Mar2016 Loess Fit = -0.097 Date_of_death = Mar2016 Loess Fit = -0.097 Date_of_death = Feb2016 Loess Fit = -0.088 Date_of_death = Feb2016 Loess Fit = -0.088 Date_of_death = Dec2015 Loess Fit = -0.078 Date_of_death = Dec2015 Loess Fit = -0.078 Date_of_death = Nov2015 Loess Fit = -0.069 Date_of_death = Nov2015 Loess Fit = -0.069 Date_of_death = Oct2015 Loess Fit = -0.059 Date_of_death = Oct2015 Loess Fit = -0.059 Date_of_death = Sep2015 Loess Fit = -0.05 Date_of_death = Sep2015 Loess Fit = -0.05 Date_of_death = Aug2015 Loess Fit = -0.04 Date_of_death = Aug2015 Loess Fit = -0.04 Date_of_death = Jul2015 Loess Fit = -0.031 Date_of_death = Jul2015 Loess Fit = -0.031 Date_of_death = Jun2015 Loess Fit = -0.021 Date_of_death = Jun2015 Loess Fit = -0.021 Date_of_death = May2015 Loess Fit = -0.012 Date_of_death = May2015 Loess Fit = -0.012 Date_of_death = Apr2015 Loess Fit = -0.002 Date_of_death = Apr2015 Loess Fit = -0.002 Date_of_death = Feb2015 Loess Fit = 0.0075 Date_of_death = Feb2015 Loess Fit = 0.0075 Date_of_death = Jan2015 Loess Fit = 0.0167 Date_of_death = Jan2015 Loess Fit = 0.0167 Date_of_death = Dec2014 Loess Fit = 0.0252 Date_of_death = Dec2014 Loess Fit = 0.0252 Date_of_death = Nov2014 Loess Fit = 0.0337 Date_of_death = Nov2014 Loess Fit = 0.0337 Date_of_death = Oct2014 Loess Fit = 0.0422 Date_of_death = Oct2014 Loess Fit = 0.0422 Date_of_death = Sep2014 Loess Fit = 0.0506 Date_of_death = Sep2014 Loess Fit = 0.0506 Date_of_death = Aug2014 Loess Fit = 0.0591 Date_of_death = Aug2014 Loess Fit = 0.0591 Date_of_death = Jul2014 Loess Fit = 0.0676 Date_of_death = Jul2014 Loess Fit = 0.0676 Date_of_death = May2014 Loess Fit = 0.0761 Date_of_death = May2014 Loess Fit = 0.0761 Date_of_death = Apr2014 Loess Fit = 0.0846 Date_of_death = Apr2014 Loess Fit = 0.0846 Date_of_death = Mar2014 Loess Fit = 0.093 Date_of_death = Mar2014 Loess Fit = 0.093 Date_of_death = Feb2014 Loess Fit = 0.1015 Date_of_death = Feb2014 Loess Fit = 0.1015 Date_of_death = Jan2014 Loess Fit = 0.11 Date_of_death = Jan2014 Loess Fit = 0.11 Date_of_death = Dec2013 Loess Fit = 0.1185 Date_of_death = Dec2013 Loess Fit = 0.1185 Date_of_death = Nov2013 Loess Fit = 0.1197 Date_of_death = Nov2013 Loess Fit = 0.1197 Date_of_death = Sep2013 Loess Fit = 0.1188 Date_of_death = Sep2013 Loess Fit = 0.1188 Date_of_death = Aug2013 Loess Fit = 0.118 Date_of_death = Aug2013 Loess Fit = 0.118 Date_of_death = Jul2013 Loess Fit = 0.1172 Date_of_death = Jul2013 Loess Fit = 0.1172 Date_of_death = Jun2013 Loess Fit = 0.1164 Date_of_death = Jun2013 Loess Fit = 0.1164 Date_of_death = May2013 Loess Fit = 0.1155 Date_of_death = May2013 Loess Fit = 0.1155 Date_of_death = Apr2013 Loess Fit = 0.1147 Date_of_death = Apr2013 Loess Fit = 0.1147 Date_of_death = Mar2013 Loess Fit = 0.1139 Date_of_death = Mar2013 Loess Fit = 0.1139 Date_of_death = Feb2013 Loess Fit = 0.113 Date_of_death = Feb2013 Loess Fit = 0.113 Date_of_death = Dec2012 Loess Fit = 0.1122 Date_of_death = Dec2012 Loess Fit = 0.1122 Date_of_death = Nov2012 Loess Fit = 0.1114 Date_of_death = Nov2012 Loess Fit = 0.1114 Date_of_death = Oct2012 Loess Fit = 0.1105 Date_of_death = Oct2012 Loess Fit = 0.1105 Date_of_death = Sep2012 Loess Fit = 0.1083 Date_of_death = Sep2012 Loess Fit = 0.1083 Date_of_death = Aug2012 Loess Fit = 0.1034 Date_of_death = Aug2012 Loess Fit = 0.1034 Date_of_death = Jul2012 Loess Fit = 0.0985 Date_of_death = Jul2012 Loess Fit = 0.0985 Date_of_death = Jun2012 Loess Fit = 0.0935 Date_of_death = Jun2012 Loess Fit = 0.0935 Date_of_death = May2012 Loess Fit = 0.0886 Date_of_death = May2012 Loess Fit = 0.0886 Date_of_death = Apr2012 Loess Fit = 0.0837 Date_of_death = Apr2012 Loess Fit = 0.0837 Date_of_death = Feb2012 Loess Fit = 0.0788 Date_of_death = Feb2012 Loess Fit = 0.0788 Date_of_death = Jan2012 Loess Fit = 0.0739 Date_of_death = Jan2012 Loess Fit = 0.0739 Date_of_death = Dec2011 Loess Fit = 0.0689 Date_of_death = Dec2011 Loess Fit = 0.0689 Date_of_death = Nov2011 Loess Fit = 0.064 Date_of_death = Nov2011 Loess Fit = 0.064 Date_of_death = Oct2011 Loess Fit = 0.0591 Date_of_death = Oct2011 Loess Fit = 0.0591 Date_of_death = Sep2011 Loess Fit = 0.0542 Date_of_death = Sep2011 Loess Fit = 0.0542 Date_of_death = Aug2011 Loess Fit = 0.0493 Date_of_death = Aug2011 Loess Fit = 0.0493 Date_of_death = Jul2011 Loess Fit = 0.0425 Date_of_death = Jul2011 Loess Fit = 0.0425 Date_of_death = May2011 Loess Fit = 0.0354 Date_of_death = May2011 Loess Fit = 0.0354 Date_of_death = Apr2011 Loess Fit = 0.0283 Date_of_death = Apr2011 Loess Fit = 0.0283 Date_of_death = Mar2011 Loess Fit = 0.0212 Date_of_death = Mar2011 Loess Fit = 0.0212 Date_of_death = Feb2011 Loess Fit = 0.014 Date_of_death = Feb2011 Loess Fit = 0.014 Date_of_death = Jan2011 Loess Fit = 0.0069 Date_of_death = Jan2011 Loess Fit = 0.0069 Date_of_death = Dec2010 Loess Fit = -15E-5 Date_of_death = Dec2010 Loess Fit = -15E-5 Date_of_death = Nov2010 Loess Fit = -0.007 Date_of_death = Nov2010 Loess Fit = -0.007 Date_of_death = Oct2010 Loess Fit = -0.014 Date_of_death = Oct2010 Loess Fit = -0.014 Date_of_death = Aug2010 Loess Fit = -0.021 Date_of_death = Aug2010 Loess Fit = -0.021 Date_of_death = Jul2010 Loess Fit = -0.029 Date_of_death = Jul2010 Loess Fit = -0.029 Date_of_death = Jun2010 Loess Fit = -0.036 Date_of_death = Jun2010 Loess Fit = -0.036 Date_of_death = May2010 Loess Fit = -0.043 Date_of_death = May2010 Loess Fit = -0.043 Date_of_death = Apr2010 Loess Fit = -0.05 Date_of_death = Apr2010 Loess Fit = -0.05 Date_of_death = Mar2010 Loess Fit = -0.057 Date_of_death = Mar2010 Loess Fit = -0.057 Date_of_death = Feb2010 Loess Fit = -0.064 Date_of_death = Feb2010 Loess Fit = -0.064 Date_of_death = Dec2009 Loess Fit = -0.071 Date_of_death = Dec2009 Loess Fit = -0.071 Date_of_death = Nov2009 Loess Fit = -0.079 Date_of_death = Nov2009 Loess Fit = -0.079 Date_of_death = Oct2009 Loess Fit = -0.086 Date_of_death = Oct2009 Loess Fit = -0.086 Date_of_death = Sep2009 Loess Fit = -0.093 Date_of_death = Sep2009 Loess Fit = -0.093 Date_of_death = Aug2009 Loess Fit = -0.1 Date_of_death = Aug2009 Loess Fit = -0.1 Date_of_death = Jul2009 Loess Fit = -0.107 Date_of_death = Jul2009 Loess Fit = -0.107 Date_of_death = Jun2009 Loess Fit = -0.115 Date_of_death = Jun2009 Loess Fit = -0.115 Date_of_death = May2009 Loess Fit = -0.122 Date_of_death = May2009 Loess Fit = -0.122 Date_of_death = Apr2009 Loess Fit = -0.129 Date_of_death = Apr2009 Loess Fit = -0.129 Date_of_death = Feb2009 Loess Fit = -0.136 Date_of_death = Feb2009 Loess Fit = -0.136 Date_of_death = Jan2009 Loess Fit = -0.14 Date_of_death = Jan2009 Loess Fit = -0.14 Date_of_death = Dec2008 Loess Fit = -0.145 Date_of_death = Dec2008 Loess Fit = -0.145 Date_of_death = Nov2008 Loess Fit = -0.149 Date_of_death = Nov2008 Loess Fit = -0.149 Date_of_death = Oct2008 Loess Fit = -0.153 Date_of_death = Oct2008 Loess Fit = -0.153 Date_of_death = Sep2008 Loess Fit = -0.158 Date_of_death = Sep2008 Loess Fit = -0.158 Date_of_death = Aug2008 Loess Fit = -0.162 Date_of_death = Aug2008 Loess Fit = -0.162 Date_of_death = Jul2008 Loess Fit = -0.166 Date_of_death = Jul2008 Loess Fit = -0.166 Date_of_death = May2008 Loess Fit = -0.171 Date_of_death = May2008 Loess Fit = -0.171 Date_of_death = Apr2008 Loess Fit = -0.175 Date_of_death = Apr2008 Loess Fit = -0.175 Date_of_death = Mar2008 Loess Fit = -0.179 Date_of_death = Mar2008 Loess Fit = -0.179 Date_of_death = Feb2008 Loess Fit = -0.184 Date_of_death = Feb2008 Loess Fit = -0.184 Date_of_death = Jan2008 Loess Fit = -0.188 Date_of_death = Jan2008 Loess Fit = -0.188 Date_of_death = Dec2007 Loess Fit = -0.19 Date_of_death = Dec2007 Loess Fit = -0.19 Date_of_death = Nov2007 Loess Fit = -0.19 Date_of_death = Nov2007 Loess Fit = -0.19 Date_of_death = Oct2007 Loess Fit = -0.19 Date_of_death = Oct2007 Loess Fit = -0.19 Date_of_death = Aug2007 Loess Fit = -0.191 Date_of_death = Aug2007 Loess Fit = -0.191 Date_of_death = Jul2007 Loess Fit = -0.191 Date_of_death = Jul2007 Loess Fit = -0.191 Date_of_death = Jun2007 Loess Fit = -0.191 Date_of_death = Jun2007 Loess Fit = -0.191 Date_of_death = May2007 Loess Fit = -0.192 Date_of_death = May2007 Loess Fit = -0.192 Date_of_death = Apr2007 Loess Fit = -0.192 Date_of_death = Apr2007 Loess Fit = -0.192 Date_of_death = Mar2007 Loess Fit = -0.193 Date_of_death = Mar2007 Loess Fit = -0.193 Date_of_death = Feb2007 Loess Fit = -0.193 Date_of_death = Feb2007 Loess Fit = -0.193 Date_of_death = Jan2007 Loess Fit = -0.193 Date_of_death = Jan2007 Loess Fit = -0.193 Date_of_death = Nov2006 Loess Fit = -0.194 Date_of_death = Nov2006 Loess Fit = -0.194 Date_of_death = Oct2006 Loess Fit = -0.193 Date_of_death = Oct2006 Loess Fit = -0.193 Date_of_death = Sep2006 Loess Fit = -0.188 Date_of_death = Sep2006 Loess Fit = -0.188 Date_of_death = Aug2006 Loess Fit = -0.183 Date_of_death = Aug2006 Loess Fit = -0.183 Date_of_death = Jul2006 Loess Fit = -0.178 Date_of_death = Jul2006 Loess Fit = -0.178 Date_of_death = Jun2006 Loess Fit = -0.173 Date_of_death = Jun2006 Loess Fit = -0.173 Date_of_death = May2006 Loess Fit = -0.169 Date_of_death = May2006 Loess Fit = -0.169 Date_of_death = Apr2006 Loess Fit = -0.164 Date_of_death = Apr2006 Loess Fit = -0.164 Date_of_death = Feb2006 Loess Fit = -0.159 Date_of_death = Feb2006 Loess Fit = -0.159 Date_of_death = Jan2006 Loess Fit = -0.154 Date_of_death = Jan2006 Loess Fit = -0.154 Date_of_death = Dec2005 Loess Fit = -0.149 Date_of_death = Dec2005 Loess Fit = -0.149 Date_of_death = Nov2005 Loess Fit = -0.144 Date_of_death = Nov2005 Loess Fit = -0.144 Date_of_death = Oct2005 Loess Fit = -0.139 Date_of_death = Oct2005 Loess Fit = -0.139 Date_of_death = Sep2005 Loess Fit = -0.134 Date_of_death = Sep2005 Loess Fit = -0.134 Date_of_death = Aug2005 Loess Fit = -0.127 Date_of_death = Aug2005 Loess Fit = -0.127 Date_of_death = Jul2005 Loess Fit = -0.12 Date_of_death = Jul2005 Loess Fit = -0.12 Date_of_death = May2005 Loess Fit = -0.112 Date_of_death = May2005 Loess Fit = -0.112 Date_of_death = Apr2005 Loess Fit = -0.105 Date_of_death = Apr2005 Loess Fit = -0.105 Date_of_death = Mar2005 Loess Fit = -0.097 Date_of_death = Mar2005 Loess Fit = -0.097 Date_of_death = Feb2005 Loess Fit = -0.09 Date_of_death = Feb2005 Loess Fit = -0.09 Date_of_death = Jan2005 Loess Fit = -0.082 Date_of_death = Jan2005 Loess Fit = -0.082 Date_of_death = Dec2004 Loess Fit = -0.075 Date_of_death = Dec2004 Loess Fit = -0.075 Date_of_death = Nov2004 Loess Fit = -0.067 Date_of_death = Nov2004 Loess Fit = -0.067 Date_of_death = Oct2004 Loess Fit = -0.06 Date_of_death = Oct2004 Loess Fit = -0.06 Date_of_death = Aug2004 Loess Fit = -0.053 Date_of_death = Aug2004 Loess Fit = -0.053 Date_of_death = Jul2004 Loess Fit = -0.045 Date_of_death = Jul2004 Loess Fit = -0.045 Date_of_death = Jun2004 Loess Fit = -0.037 Date_of_death = Jun2004 Loess Fit = -0.037 Date_of_death = May2004 Loess Fit = -0.029 Date_of_death = May2004 Loess Fit = -0.029 Date_of_death = Apr2004 Loess Fit = -0.021 Date_of_death = Apr2004 Loess Fit = -0.021 Date_of_death = Mar2004 Loess Fit = -0.013 Date_of_death = Mar2004 Loess Fit = -0.013 Date_of_death = Feb2004 Loess Fit = -0.005 Date_of_death = Feb2004 Loess Fit = -0.005 Date_of_death = Jan2004 Loess Fit = 0.0035 Date_of_death = Jan2004 Loess Fit = 0.0035 Date_of_death = Nov2003 Loess Fit = 0.0117 Date_of_death = Nov2003 Loess Fit = 0.0117 Date_of_death = Oct2003 Loess Fit = 0.0198 Date_of_death = Oct2003 Loess Fit = 0.0198 Date_of_death = Sep2003 Loess Fit = 0.028 Date_of_death = Sep2003 Loess Fit = 0.028 Date_of_death = Aug2003 Loess Fit = 0.0361 Date_of_death = Aug2003 Loess Fit = 0.0361 Date_of_death = Jul2003 Loess Fit = 0.0443 Date_of_death = Jul2003 Loess Fit = 0.0443 Date_of_death = Jun2003 Loess Fit = 0.0525 Date_of_death = Jun2003 Loess Fit = 0.0525 Date_of_death = May2003 Loess Fit = 0.0606 Date_of_death = May2003 Loess Fit = 0.0606 Date_of_death = Apr2003 Loess Fit = 0.0691 Date_of_death = Apr2003 Loess Fit = 0.0691 Date_of_death = Feb2003 Loess Fit = 0.0775 Date_of_death = Feb2003 Loess Fit = 0.0775 Date_of_death = Jan2003 Loess Fit = 0.086 Date_of_death = Jan2003 Loess Fit = 0.086 Date_of_death = Dec2002 Loess Fit = 0.0945 Date_of_death = Dec2002 Loess Fit = 0.0945 Date_of_death = Nov2002 Loess Fit = 0.1029 Date_of_death = Nov2002 Loess Fit = 0.1029 Date_of_death = Oct2002 Loess Fit = 0.1114 Date_of_death = Oct2002 Loess Fit = 0.1114 Date_of_death = Sep2002 Loess Fit = 0.1199 Date_of_death = Sep2002 Loess Fit = 0.1199 Date_of_death = Aug2002 Loess Fit = 0.1283 Date_of_death = Aug2002 Loess Fit = 0.1283 Date_of_death = Jul2002 Loess Fit = 0.1368 Date_of_death = Jul2002 Loess Fit = 0.1368 Date_of_death = May2002 Loess Fit = 0.1453 Date_of_death = May2002 Loess Fit = 0.1453 Date_of_death = Apr2002 Loess Fit = 0.1537 Date_of_death = Apr2002 Loess Fit = 0.1537 Date_of_death = Mar2002 Loess Fit = 0.1622 Date_of_death = Mar2002 Loess Fit = 0.1622 Date_of_death = Feb2002 Loess Fit = 0.1708 Date_of_death = Feb2002 Loess Fit = 0.1708 Date_of_death = Jan2002 Loess Fit = 0.1797 Date_of_death = Jan2002 Loess Fit = 0.1797 Date_of_death = Dec2001 Loess Fit = 0.1886 Date_of_death = Dec2001 Loess Fit = 0.1886 Date_of_death = Nov2001 Loess Fit = 0.1974 Date_of_death = Nov2001 Loess Fit = 0.1974 Date_of_death = Oct2001 Loess Fit = 0.2063 Date_of_death = Oct2001 Loess Fit = 0.2063 Date_of_death = Aug2001 Loess Fit = 0.2151 Date_of_death = Aug2001 Loess Fit = 0.2151 Date_of_death = Jul2001 Loess Fit = 0.224 Date_of_death = Jul2001 Loess Fit = 0.224 Date_of_death = Jun2001 Loess Fit = 0.2329 Date_of_death = Jun2001 Loess Fit = 0.2329 Date_of_death = May2001 Loess Fit = 0.2417 Date_of_death = May2001 Loess Fit = 0.2417 Date_of_death = Apr2001 Loess Fit = 0.2506 Date_of_death = Apr2001 Loess Fit = 0.2506 Date_of_death = Mar2001 Loess Fit = 0.2595 Date_of_death = Mar2001 Loess Fit = 0.2595 Date_of_death = Feb2001 Loess Fit = 0.2683 Date_of_death = Feb2001 Loess Fit = 0.2683 Date_of_death = Jan2001 Loess Fit = 0.2772 Date_of_death = Oct2019 Prediction Error = -1.228 Date_of_death = Sep2019 Prediction Error = -0.783 Date_of_death = Aug2019 Prediction Error = 1.9079 Date_of_death = Jul2019 Prediction Error = 0.0245 Date_of_death = Jun2019 Prediction Error = -1.505 Date_of_death = May2019 Prediction Error = -1.28 Date_of_death = Apr2019 Prediction Error = -1.146 Date_of_death = Mar2019 Prediction Error = -0.826 Date_of_death = Feb2019 Prediction Error = -0.779 Date_of_death = Jan2019 Prediction Error = 2.2748 Date_of_death = Dec2018 Prediction Error = -1.251 Date_of_death = Nov2018 Prediction Error = 1.918 Date_of_death = Oct2018 Prediction Error = -1.463 Date_of_death = Sep2018 Prediction Error = -2.111 Date_of_death = Aug2018 Prediction Error = -0.337 Date_of_death = Jul2018 Prediction Error = -0.223 Date_of_death = Jun2018 Prediction Error = -1.899 Date_of_death = May2018 Prediction Error = -1.649 Date_of_death = Apr2018 Prediction Error = -0.396 Date_of_death = Mar2018 Prediction Error = -1.163 Date_of_death = Feb2018 Prediction Error = -1.158 Date_of_death = Jan2018 Prediction Error = 2.1867 Date_of_death = Dec2017 Prediction Error = -1.735 Date_of_death = Nov2017 Prediction Error = -1.605 Date_of_death = Oct2017 Prediction Error = 1.3583 Date_of_death = Sep2017 Prediction Error = 0.7108 Date_of_death = Aug2017 Prediction Error = 1.634 Date_of_death = Jul2017 Prediction Error = -1.54 Date_of_death = Jun2017 Prediction Error = -2.25 Date_of_death = May2017 Prediction Error = -1.995 Date_of_death = Apr2017 Prediction Error = -1.767 Date_of_death = Mar2017 Prediction Error = 1.8579 Date_of_death = Feb2017 Prediction Error = -1.491 Date_of_death = Jan2017 Prediction Error = -0.035 Date_of_death = Dec2016 Prediction Error = 1.2397 Date_of_death = Nov2016 Prediction Error = 1.4512 Date_of_death = Oct2016 Prediction Error = 1.4142 Date_of_death = Sep2016 Prediction Error = -2.7 Date_of_death = Aug2016 Prediction Error = -1.744 Date_of_death = Jul2016 Prediction Error = 0.3175 Date_of_death = Jun2016 Prediction Error = 0.7262 Date_of_death = May2016 Prediction Error = 1.1209 Date_of_death = Apr2016 Prediction Error = 1.4501 Date_of_death = Mar2016 Prediction Error = 1.0435 Date_of_death = Feb2016 Prediction Error = 1.8746 Date_of_death = Jan2016 Prediction Error = -0.954 Date_of_death = Dec2015 Prediction Error = -0.706 Date_of_death = Nov2015 Prediction Error = 0.5792 Date_of_death = Oct2015 Prediction Error = 0.5369 Date_of_death = Sep2015 Prediction Error = 0.533 Date_of_death = Aug2015 Prediction Error = -1.715 Date_of_death = Jul2015 Prediction Error = -1.706 Date_of_death = Jun2015 Prediction Error = 0.924 Date_of_death = May2015 Prediction Error = 1.327 Date_of_death = Apr2015 Prediction Error = -1.714 Date_of_death = Mar2015 Prediction Error = 0.0053 Date_of_death = Feb2015 Prediction Error = 0.8845 Date_of_death = Jan2015 Prediction Error = 2.2764 Date_of_death = Dec2014 Prediction Error = 1.5175 Date_of_death = Nov2014 Prediction Error = -1.528 Date_of_death = Oct2014 Prediction Error = -0.486 Date_of_death = Sep2014 Prediction Error = 0.6223 Date_of_death = Aug2014 Prediction Error = -1.852 Date_of_death = Jul2014 Prediction Error = 1.5681 Date_of_death = Jun2014 Prediction Error = -0.008 Date_of_death = May2014 Prediction Error = -1.831 Date_of_death = Apr2014 Prediction Error = 1.5377 Date_of_death = Mar2014 Prediction Error = -1.044 Date_of_death = Feb2014 Prediction Error = 2.1652 Date_of_death = Jan2014 Prediction Error = -0.839 Date_of_death = Dec2013 Prediction Error = 1.6862 Date_of_death = Nov2013 Prediction Error = -0.556 Date_of_death = Oct2013 Prediction Error = 1.7851 Date_of_death = Sep2013 Prediction Error = 0.8158 Date_of_death = Aug2013 Prediction Error = 1.4991 Date_of_death = Jul2013 Prediction Error = 1.9844 Date_of_death = Jun2013 Prediction Error = -2.005 Date_of_death = May2013 Prediction Error = -1.798 Date_of_death = Apr2013 Prediction Error = -1.485 Date_of_death = Mar2013 Prediction Error = 0.0823 Date_of_death = Feb2013 Prediction Error = -0.893 Date_of_death = Jan2013 Prediction Error = 2.5121 Date_of_death = Dec2012 Prediction Error = -0.298 Date_of_death = Nov2012 Prediction Error = -0.561 Date_of_death = Oct2012 Prediction Error = 2.0401 Date_of_death = Sep2012 Prediction Error = 0.9404 Date_of_death = Aug2012 Prediction Error = -0.591 Date_of_death = Jul2012 Prediction Error = -0.083 Date_of_death = Jun2012 Prediction Error = 1.1516 Date_of_death = May2012 Prediction Error = 1.4946 Date_of_death = Apr2012 Prediction Error = 1.9563 Date_of_death = Mar2012 Prediction Error = -0.754 Date_of_death = Feb2012 Prediction Error = -0.725 Date_of_death = Jan2012 Prediction Error = -0.363 Date_of_death = Dec2011 Prediction Error = 2.1556 Date_of_death = Nov2011 Prediction Error = -1.548 Date_of_death = Oct2011 Prediction Error = -0.953 Date_of_death = Sep2011 Prediction Error = 1.1732 Date_of_death = Aug2011 Prediction Error = 1.7593 Date_of_death = Jul2011 Prediction Error = 2.3989 Date_of_death = Jun2011 Prediction Error = -0.754 Date_of_death = May2011 Prediction Error = -0.424 Date_of_death = Apr2011 Prediction Error = -1.117 Date_of_death = Mar2011 Prediction Error = 2.6716 Date_of_death = Feb2011 Prediction Error = -0.658 Date_of_death = Jan2011 Prediction Error = -0.245 Date_of_death = Dec2010 Prediction Error = 1.4485 Date_of_death = Nov2010 Prediction Error = -1.587 Date_of_death = Oct2010 Prediction Error = -0.911 Date_of_death = Sep2010 Prediction Error = 1.4621 Date_of_death = Aug2010 Prediction Error = -1.381 Date_of_death = Jul2010 Prediction Error = -0.737 Date_of_death = Jun2010 Prediction Error = -2.079 Date_of_death = May2010 Prediction Error = -1.741 Date_of_death = Apr2010 Prediction Error = 2.0362 Date_of_death = Mar2010 Prediction Error = -0.565 Date_of_death = Feb2010 Prediction Error = 0.2346 Date_of_death = Jan2010 Prediction Error = -0.45 Date_of_death = Dec2009 Prediction Error = -0.854 Date_of_death = Nov2009 Prediction Error = 1.4699 Date_of_death = Oct2009 Prediction Error = -1.196 Date_of_death = Sep2009 Prediction Error = -1.988 Date_of_death = Aug2009 Prediction Error = -1.822 Date_of_death = Jul2009 Prediction Error = 2.41 Date_of_death = Jun2009 Prediction Error = -1.36 Date_of_death = May2009 Prediction Error = 0.2197 Date_of_death = Apr2009 Prediction Error = -1.276 Date_of_death = Mar2009 Prediction Error = 0.3383 Date_of_death = Feb2009 Prediction Error = -1.07 Date_of_death = Jan2009 Prediction Error = -0.711 Date_of_death = Dec2008 Prediction Error = -1.206 Date_of_death = Nov2008 Prediction Error = 1.4584 Date_of_death = Oct2008 Prediction Error = 1.9391 Date_of_death = Sep2008 Prediction Error = 1.1472 Date_of_death = Aug2008 Prediction Error = -0.933 Date_of_death = Jul2008 Prediction Error = -0.745 Date_of_death = Jun2008 Prediction Error = 0.7221 Date_of_death = May2008 Prediction Error = 1.4252 Date_of_death = Apr2008 Prediction Error = 0.9257 Date_of_death = Mar2008 Prediction Error = -0.675 Date_of_death = Feb2008 Prediction Error = -1.129 Date_of_death = Jan2008 Prediction Error = 0.4738 Date_of_death = Dec2007 Prediction Error = -1.276 Date_of_death = Nov2007 Prediction Error = -0.575 Date_of_death = Oct2007 Prediction Error = -0.095 Date_of_death = Sep2007 Prediction Error = -1.078 Date_of_death = Aug2007 Prediction Error = -2.366 Date_of_death = Jul2007 Prediction Error = -1.001 Date_of_death = Jun2007 Prediction Error = -0.522 Date_of_death = May2007 Prediction Error = 1.4374 Date_of_death = Apr2007 Prediction Error = -0.347 Date_of_death = Mar2007 Prediction Error = 2.5496 Date_of_death = Feb2007 Prediction Error = -1.48 Date_of_death = Jan2007 Prediction Error = -0.794 Date_of_death = Dec2006 Prediction Error = -0.488 Date_of_death = Nov2006 Prediction Error = -2.069 Date_of_death = Oct2006 Prediction Error = -1.536 Date_of_death = Sep2006 Prediction Error = 0.9132 Date_of_death = Aug2006 Prediction Error = 0.6603 Date_of_death = Jul2006 Prediction Error = -0.055 Date_of_death = Jun2006 Prediction Error = -1.898 Date_of_death = May2006 Prediction Error = 1.6059 Date_of_death = Apr2006 Prediction Error = -0.541 Date_of_death = Mar2006 Prediction Error = -0.749 Date_of_death = Feb2006 Prediction Error = -1.975 Date_of_death = Jan2006 Prediction Error = -1.173 Date_of_death = Dec2005 Prediction Error = -0.825 Date_of_death = Nov2005 Prediction Error = 0.9879 Date_of_death = Oct2005 Prediction Error = -2.026 Date_of_death = Sep2005 Prediction Error = 0.9436 Date_of_death = Aug2005 Prediction Error = -0.628 Date_of_death = Jul2005 Prediction Error = -1.522 Date_of_death = Jun2005 Prediction Error = -0.075 Date_of_death = May2005 Prediction Error = 1.7392 Date_of_death = Apr2005 Prediction Error = 1.6192 Date_of_death = Mar2005 Prediction Error = -1.051 Date_of_death = Feb2005 Prediction Error = 1.2135 Date_of_death = Jan2005 Prediction Error = -0.211 Date_of_death = Dec2004 Prediction Error = 1.5409 Date_of_death = Nov2004 Prediction Error = 1.3161 Date_of_death = Oct2004 Prediction Error = -2.484 Date_of_death = Sep2004 Prediction Error = 1.2789 Date_of_death = Aug2004 Prediction Error = -1.996 Date_of_death = Jul2004 Prediction Error = 2.0288 Date_of_death = Jun2004 Prediction Error = 0.0568 Date_of_death = May2004 Prediction Error = 2.3518 Date_of_death = Apr2004 Prediction Error = -1.671 Date_of_death = Mar2004 Prediction Error = 0.0478 Date_of_death = Feb2004 Prediction Error = 0.3486 Date_of_death = Jan2004 Prediction Error = -0.191 Date_of_death = Dec2003 Prediction Error = -1.975 Date_of_death = Nov2003 Prediction Error = -0.98 Date_of_death = Oct2003 Prediction Error = -2.036 Date_of_death = Sep2003 Prediction Error = -1.064 Date_of_death = Aug2003 Prediction Error = -0.049 Date_of_death = Jul2003 Prediction Error = 2.66 Date_of_death = Jun2003 Prediction Error = -0.007 Date_of_death = May2003 Prediction Error = -1.034 Date_of_death = Apr2003 Prediction Error = -1.039 Date_of_death = Mar2003 Prediction Error = 2.6613 Date_of_death = Feb2003 Prediction Error = -1.004 Date_of_death = Jan2003 Prediction Error = 2.3724 Date_of_death = Dec2002 Prediction Error = 1.5539 Date_of_death = Nov2002 Prediction Error = -2.983 Date_of_death = Oct2002 Prediction Error = 0.021 Date_of_death = Sep2002 Prediction Error = 1.5397 Date_of_death = Aug2002 Prediction Error = 0.0499 Date_of_death = Jul2002 Prediction Error = 1.0664 Date_of_death = Jun2002 Prediction Error = 0.069 Date_of_death = May2002 Prediction Error = -1.463 Date_of_death = Apr2002 Prediction Error = -3.004 Date_of_death = Mar2002 Prediction Error = -0.523 Date_of_death = Feb2002 Prediction Error = -3.073 Date_of_death = Jan2002 Prediction Error = -1.096 Date_of_death = Dec2001 Prediction Error = 2.9578 Date_of_death = Nov2001 Prediction Error = -0.051 Date_of_death = Oct2001 Prediction Error = -0.056 Date_of_death = Sep2001 Prediction Error = 2.9654 Date_of_death = Aug2001 Prediction Error = -0.041 Date_of_death = Jul2001 Prediction Error = -0.047 Date_of_death = Jun2001 Prediction Error = -0.049 Date_of_death = May2001 Prediction Error = 2.9754 Date_of_death = Apr2001 Prediction Error = -0.027 Date_of_death = Mar2001 Prediction Error = 0.9807 Date_of_death = Feb2001 Prediction Error = -0.019 Date_of_death = Jan2001 Prediction Error = 2 Date_of_death = Oct2019 2*STD = 2.7315 -2*STD = -2.731 Date_of_death = Sep2019 2*STD = 2.7315 -2*STD = -2.731 Date_of_death = Sep2019 2*STD = 2.7315 -2*STD = -2.731 Date_of_death = Aug2019 2*STD = 2.7315 -2*STD = -2.731 Date_of_death = Aug2019 2*STD = 2.7315 -2*STD = -2.731 Date_of_death = Jul2019 2*STD = 2.7315 -2*STD = -2.732 Date_of_death = Jul2019 2*STD = 2.7315 -2*STD = -2.732 Date_of_death = Jun2019 2*STD = 2.7315 -2*STD = -2.732 Date_of_death = Jun2019 2*STD = 2.7315 -2*STD = -2.732 Date_of_death = May2019 2*STD = 2.7316 -2*STD = -2.732 Date_of_death = May2019 2*STD = 2.7316 -2*STD = -2.732 Date_of_death = Apr2019 2*STD = 2.7316 -2*STD = -2.732 Date_of_death = Apr2019 2*STD = 2.7316 -2*STD = -2.732 Date_of_death = Mar2019 2*STD = 2.7316 -2*STD = -2.732 Date_of_death = Mar2019 2*STD = 2.7316 -2*STD = -2.732 Date_of_death = Feb2019 2*STD = 2.7317 -2*STD = -2.732 Date_of_death = Feb2019 2*STD = 2.7317 -2*STD = -2.732 Date_of_death = Jan2019 2*STD = 2.7317 -2*STD = -2.732 Date_of_death = Jan2019 2*STD = 2.7317 -2*STD = -2.732 Date_of_death = Dec2018 2*STD = 2.7335 -2*STD = -2.733 Date_of_death = Dec2018 2*STD = 2.7335 -2*STD = -2.733 Date_of_death = Nov2018 2*STD = 2.7335 -2*STD = -2.733 Date_of_death = Nov2018 2*STD = 2.7335 -2*STD = -2.733 Date_of_death = Oct2018 2*STD = 2.7335 -2*STD = -2.733 Date_of_death = Oct2018 2*STD = 2.7335 -2*STD = -2.733 Date_of_death = Sep2018 2*STD = 2.7335 -2*STD = -2.733 Date_of_death = Sep2018 2*STD = 2.7335 -2*STD = -2.733 Date_of_death = Aug2018 2*STD = 2.7335 -2*STD = -2.734 Date_of_death = Aug2018 2*STD = 2.7335 -2*STD = -2.734 Date_of_death = Jul2018 2*STD = 2.7335 -2*STD = -2.734 Date_of_death = Jul2018 2*STD = 2.7335 -2*STD = -2.734 Date_of_death = Jun2018 2*STD = 2.7336 -2*STD = -2.734 Date_of_death = Jun2018 2*STD = 2.7336 -2*STD = -2.734 Date_of_death = May2018 2*STD = 2.7336 -2*STD = -2.734 Date_of_death = May2018 2*STD = 2.7336 -2*STD = -2.734 Date_of_death = Apr2018 2*STD = 2.7336 -2*STD = -2.734 Date_of_death = Apr2018 2*STD = 2.7336 -2*STD = -2.734 Date_of_death = Mar2018 2*STD = 2.7337 -2*STD = -2.734 Date_of_death = Mar2018 2*STD = 2.7337 -2*STD = -2.734 Date_of_death = Feb2018 2*STD = 2.7337 -2*STD = -2.734 Date_of_death = Feb2018 2*STD = 2.7337 -2*STD = -2.734 Date_of_death = Jan2018 2*STD = 2.7337 -2*STD = -2.734 Date_of_death = Jan2018 2*STD = 2.7337 -2*STD = -2.734 Date_of_death = Dec2017 2*STD = 2.7358 -2*STD = -2.736 Date_of_death = Dec2017 2*STD = 2.7358 -2*STD = -2.736 Date_of_death = Nov2017 2*STD = 2.7358 -2*STD = -2.736 Date_of_death = Nov2017 2*STD = 2.7358 -2*STD = -2.736 Date_of_death = Oct2017 2*STD = 2.7358 -2*STD = -2.736 Date_of_death = Oct2017 2*STD = 2.7358 -2*STD = -2.736 Date_of_death = Sep2017 2*STD = 2.7359 -2*STD = -2.736 Date_of_death = Sep2017 2*STD = 2.7359 -2*STD = -2.736 Date_of_death = Aug2017 2*STD = 2.7359 -2*STD = -2.736 Date_of_death = Aug2017 2*STD = 2.7359 -2*STD = -2.736 Date_of_death = Jul2017 2*STD = 2.7359 -2*STD = -2.736 Date_of_death = Jul2017 2*STD = 2.7359 -2*STD = -2.736 Date_of_death = Jun2017 2*STD = 2.7359 -2*STD = -2.736 Date_of_death = Jun2017 2*STD = 2.7359 -2*STD = -2.736 Date_of_death = May2017 2*STD = 2.736 -2*STD = -2.736 Date_of_death = May2017 2*STD = 2.736 -2*STD = -2.736 Date_of_death = Apr2017 2*STD = 2.736 -2*STD = -2.736 Date_of_death = Apr2017 2*STD = 2.736 -2*STD = -2.736 Date_of_death = Mar2017 2*STD = 2.7361 -2*STD = -2.736 Date_of_death = Mar2017 2*STD = 2.7361 -2*STD = -2.736 Date_of_death = Feb2017 2*STD = 2.7361 -2*STD = -2.736 Date_of_death = Feb2017 2*STD = 2.7361 -2*STD = -2.736 Date_of_death = Jan2017 2*STD = 2.7361 -2*STD = -2.736 Date_of_death = Jan2017 2*STD = 2.7361 -2*STD = -2.736 Date_of_death = Dec2016 2*STD = 2.7386 -2*STD = -2.739 Date_of_death = Dec2016 2*STD = 2.7386 -2*STD = -2.739 Date_of_death = Nov2016 2*STD = 2.7386 -2*STD = -2.739 Date_of_death = Nov2016 2*STD = 2.7386 -2*STD = -2.739 Date_of_death = Oct2016 2*STD = 2.7386 -2*STD = -2.739 Date_of_death = Oct2016 2*STD = 2.7386 -2*STD = -2.739 Date_of_death = Sep2016 2*STD = 2.7386 -2*STD = -2.739 Date_of_death = Sep2016 2*STD = 2.7386 -2*STD = -2.739 Date_of_death = Aug2016 2*STD = 2.7387 -2*STD = -2.739 Date_of_death = Aug2016 2*STD = 2.7387 -2*STD = -2.739 Date_of_death = Jul2016 2*STD = 2.7387 -2*STD = -2.739 Date_of_death = Jul2016 2*STD = 2.7387 -2*STD = -2.739 Date_of_death = Jun2016 2*STD = 2.7387 -2*STD = -2.739 Date_of_death = Jun2016 2*STD = 2.7387 -2*STD = -2.739 Date_of_death = May2016 2*STD = 2.7388 -2*STD = -2.739 Date_of_death = May2016 2*STD = 2.7388 -2*STD = -2.739 Date_of_death = Apr2016 2*STD = 2.7388 -2*STD = -2.739 Date_of_death = Apr2016 2*STD = 2.7388 -2*STD = -2.739 Date_of_death = Mar2016 2*STD = 2.7389 -2*STD = -2.739 Date_of_death = Mar2016 2*STD = 2.7389 -2*STD = -2.739 Date_of_death = Feb2016 2*STD = 2.7389 -2*STD = -2.739 Date_of_death = Feb2016 2*STD = 2.7389 -2*STD = -2.739 Date_of_death = Jan2016 2*STD = 2.7389 -2*STD = -2.739 Date_of_death = Jan2016 2*STD = 2.7389 -2*STD = -2.739 Date_of_death = Dec2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Dec2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Nov2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Nov2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Oct2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Oct2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Sep2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Sep2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Aug2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Aug2015 2*STD = 2.7419 -2*STD = -2.742 Date_of_death = Jul2015 2*STD = 2.742 -2*STD = -2.742 Date_of_death = Jul2015 2*STD = 2.742 -2*STD = -2.742 Date_of_death = Jun2015 2*STD = 2.742 -2*STD = -2.742 Date_of_death = Jun2015 2*STD = 2.742 -2*STD = -2.742 Date_of_death = May2015 2*STD = 2.7421 -2*STD = -2.742 Date_of_death = May2015 2*STD = 2.7421 -2*STD = -2.742 Date_of_death = Apr2015 2*STD = 2.7421 -2*STD = -2.742 Date_of_death = Apr2015 2*STD = 2.7421 -2*STD = -2.742 Date_of_death = Mar2015 2*STD = 2.7422 -2*STD = -2.742 Date_of_death = Mar2015 2*STD = 2.7422 -2*STD = -2.742 Date_of_death = Feb2015 2*STD = 2.7422 -2*STD = -2.742 Date_of_death = Feb2015 2*STD = 2.7422 -2*STD = -2.742 Date_of_death = Jan2015 2*STD = 2.7422 -2*STD = -2.742 Date_of_death = Jan2015 2*STD = 2.7422 -2*STD = -2.742 Date_of_death = Dec2014 2*STD = 2.7458 -2*STD = -2.746 Date_of_death = Dec2014 2*STD = 2.7458 -2*STD = -2.746 Date_of_death = Nov2014 2*STD = 2.7458 -2*STD = -2.746 Date_of_death = Nov2014 2*STD = 2.7458 -2*STD = -2.746 Date_of_death = Oct2014 2*STD = 2.7458 -2*STD = -2.746 Date_of_death = Oct2014 2*STD = 2.7458 -2*STD = -2.746 Date_of_death = Sep2014 2*STD = 2.7458 -2*STD = -2.746 Date_of_death = Sep2014 2*STD = 2.7458 -2*STD = -2.746 Date_of_death = Aug2014 2*STD = 2.7459 -2*STD = -2.746 Date_of_death = Aug2014 2*STD = 2.7459 -2*STD = -2.746 Date_of_death = Jul2014 2*STD = 2.7459 -2*STD = -2.746 Date_of_death = Jul2014 2*STD = 2.7459 -2*STD = -2.746 Date_of_death = Jun2014 2*STD = 2.7459 -2*STD = -2.746 Date_of_death = Jun2014 2*STD = 2.7459 -2*STD = -2.746 Date_of_death = May2014 2*STD = 2.746 -2*STD = -2.746 Date_of_death = May2014 2*STD = 2.746 -2*STD = -2.746 Date_of_death = Apr2014 2*STD = 2.7461 -2*STD = -2.746 Date_of_death = Apr2014 2*STD = 2.7461 -2*STD = -2.746 Date_of_death = Mar2014 2*STD = 2.7461 -2*STD = -2.746 Date_of_death = Mar2014 2*STD = 2.7461 -2*STD = -2.746 Date_of_death = Feb2014 2*STD = 2.7462 -2*STD = -2.746 Date_of_death = Feb2014 2*STD = 2.7462 -2*STD = -2.746 Date_of_death = Jan2014 2*STD = 2.7462 -2*STD = -2.746 Date_of_death = Jan2014 2*STD = 2.7462 -2*STD = -2.746 Date_of_death = Dec2013 2*STD = 2.7505 -2*STD = -2.75 Date_of_death = Dec2013 2*STD = 2.7505 -2*STD = -2.75 Date_of_death = Nov2013 2*STD = 2.7505 -2*STD = -2.75 Date_of_death = Nov2013 2*STD = 2.7505 -2*STD = -2.75 Date_of_death = Oct2013 2*STD = 2.7505 -2*STD = -2.75 Date_of_death = Oct2013 2*STD = 2.7505 -2*STD = -2.75 Date_of_death = Sep2013 2*STD = 2.7505 -2*STD = -2.751 Date_of_death = Sep2013 2*STD = 2.7505 -2*STD = -2.751 Date_of_death = Aug2013 2*STD = 2.7505 -2*STD = -2.751 Date_of_death = Aug2013 2*STD = 2.7505 -2*STD = -2.751 Date_of_death = Jul2013 2*STD = 2.7506 -2*STD = -2.751 Date_of_death = Jul2013 2*STD = 2.7506 -2*STD = -2.751 Date_of_death = Jun2013 2*STD = 2.7506 -2*STD = -2.751 Date_of_death = Jun2013 2*STD = 2.7506 -2*STD = -2.751 Date_of_death = May2013 2*STD = 2.7507 -2*STD = -2.751 Date_of_death = May2013 2*STD = 2.7507 -2*STD = -2.751 Date_of_death = Apr2013 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Apr2013 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Mar2013 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Mar2013 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Feb2013 2*STD = 2.7509 -2*STD = -2.751 Date_of_death = Feb2013 2*STD = 2.7509 -2*STD = -2.751 Date_of_death = Jan2013 2*STD = 2.7509 -2*STD = -2.751 Date_of_death = Jan2013 2*STD = 2.7509 -2*STD = -2.751 Date_of_death = Dec2012 2*STD = 2.7561 -2*STD = -2.756 Date_of_death = Dec2012 2*STD = 2.7561 -2*STD = -2.756 Date_of_death = Nov2012 2*STD = 2.7561 -2*STD = -2.756 Date_of_death = Nov2012 2*STD = 2.7561 -2*STD = -2.756 Date_of_death = Oct2012 2*STD = 2.7561 -2*STD = -2.756 Date_of_death = Oct2012 2*STD = 2.7561 -2*STD = -2.756 Date_of_death = Sep2012 2*STD = 2.7562 -2*STD = -2.756 Date_of_death = Sep2012 2*STD = 2.7562 -2*STD = -2.756 Date_of_death = Aug2012 2*STD = 2.7562 -2*STD = -2.756 Date_of_death = Aug2012 2*STD = 2.7562 -2*STD = -2.756 Date_of_death = Jul2012 2*STD = 2.7563 -2*STD = -2.756 Date_of_death = Jul2012 2*STD = 2.7563 -2*STD = -2.756 Date_of_death = Jun2012 2*STD = 2.7563 -2*STD = -2.756 Date_of_death = Jun2012 2*STD = 2.7563 -2*STD = -2.756 Date_of_death = May2012 2*STD = 2.7564 -2*STD = -2.756 Date_of_death = May2012 2*STD = 2.7564 -2*STD = -2.756 Date_of_death = Apr2012 2*STD = 2.7565 -2*STD = -2.756 Date_of_death = Apr2012 2*STD = 2.7565 -2*STD = -2.756 Date_of_death = Mar2012 2*STD = 2.7566 -2*STD = -2.757 Date_of_death = Mar2012 2*STD = 2.7566 -2*STD = -2.757 Date_of_death = Feb2012 2*STD = 2.7567 -2*STD = -2.757 Date_of_death = Feb2012 2*STD = 2.7567 -2*STD = -2.757 Date_of_death = Jan2012 2*STD = 2.7567 -2*STD = -2.757 Date_of_death = Jan2012 2*STD = 2.7567 -2*STD = -2.757 Date_of_death = Dec2011 2*STD = 2.763 -2*STD = -2.763 Date_of_death = Dec2011 2*STD = 2.763 -2*STD = -2.763 Date_of_death = Nov2011 2*STD = 2.763 -2*STD = -2.763 Date_of_death = Nov2011 2*STD = 2.763 -2*STD = -2.763 Date_of_death = Oct2011 2*STD = 2.7631 -2*STD = -2.763 Date_of_death = Oct2011 2*STD = 2.7631 -2*STD = -2.763 Date_of_death = Sep2011 2*STD = 2.7631 -2*STD = -2.763 Date_of_death = Sep2011 2*STD = 2.7631 -2*STD = -2.763 Date_of_death = Aug2011 2*STD = 2.7631 -2*STD = -2.763 Date_of_death = Aug2011 2*STD = 2.7631 -2*STD = -2.763 Date_of_death = Jul2011 2*STD = 2.7632 -2*STD = -2.763 Date_of_death = Jul2011 2*STD = 2.7632 -2*STD = -2.763 Date_of_death = Jun2011 2*STD = 2.7633 -2*STD = -2.763 Date_of_death = Jun2011 2*STD = 2.7633 -2*STD = -2.763 Date_of_death = May2011 2*STD = 2.7633 -2*STD = -2.763 Date_of_death = May2011 2*STD = 2.7633 -2*STD = -2.763 Date_of_death = Apr2011 2*STD = 2.7634 -2*STD = -2.763 Date_of_death = Apr2011 2*STD = 2.7634 -2*STD = -2.763 Date_of_death = Mar2011 2*STD = 2.7635 -2*STD = -2.764 Date_of_death = Mar2011 2*STD = 2.7635 -2*STD = -2.764 Date_of_death = Feb2011 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Feb2011 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Jan2011 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Jan2011 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Dec2010 2*STD = 2.7716 -2*STD = -2.772 Date_of_death = Dec2010 2*STD = 2.7716 -2*STD = -2.772 Date_of_death = Nov2010 2*STD = 2.7716 -2*STD = -2.772 Date_of_death = Nov2010 2*STD = 2.7716 -2*STD = -2.772 Date_of_death = Oct2010 2*STD = 2.7716 -2*STD = -2.772 Date_of_death = Oct2010 2*STD = 2.7716 -2*STD = -2.772 Date_of_death = Sep2010 2*STD = 2.7717 -2*STD = -2.772 Date_of_death = Sep2010 2*STD = 2.7717 -2*STD = -2.772 Date_of_death = Aug2010 2*STD = 2.7717 -2*STD = -2.772 Date_of_death = Aug2010 2*STD = 2.7717 -2*STD = -2.772 Date_of_death = Jul2010 2*STD = 2.7718 -2*STD = -2.772 Date_of_death = Jul2010 2*STD = 2.7718 -2*STD = -2.772 Date_of_death = Jun2010 2*STD = 2.7719 -2*STD = -2.772 Date_of_death = Jun2010 2*STD = 2.7719 -2*STD = -2.772 Date_of_death = May2010 2*STD = 2.772 -2*STD = -2.772 Date_of_death = May2010 2*STD = 2.772 -2*STD = -2.772 Date_of_death = Apr2010 2*STD = 2.7721 -2*STD = -2.772 Date_of_death = Apr2010 2*STD = 2.7721 -2*STD = -2.772 Date_of_death = Mar2010 2*STD = 2.7722 -2*STD = -2.772 Date_of_death = Mar2010 2*STD = 2.7722 -2*STD = -2.772 Date_of_death = Feb2010 2*STD = 2.7723 -2*STD = -2.772 Date_of_death = Feb2010 2*STD = 2.7723 -2*STD = -2.772 Date_of_death = Jan2010 2*STD = 2.7724 -2*STD = -2.772 Date_of_death = Jan2010 2*STD = 2.7724 -2*STD = -2.772 Date_of_death = Dec2009 2*STD = 2.7823 -2*STD = -2.782 Date_of_death = Dec2009 2*STD = 2.7823 -2*STD = -2.782 Date_of_death = Nov2009 2*STD = 2.7823 -2*STD = -2.782 Date_of_death = Nov2009 2*STD = 2.7823 -2*STD = -2.782 Date_of_death = Oct2009 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Oct2009 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Sep2009 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Sep2009 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Aug2009 2*STD = 2.7825 -2*STD = -2.783 Date_of_death = Aug2009 2*STD = 2.7825 -2*STD = -2.783 Date_of_death = Jul2009 2*STD = 2.7826 -2*STD = -2.783 Date_of_death = Jul2009 2*STD = 2.7826 -2*STD = -2.783 Date_of_death = Jun2009 2*STD = 2.7827 -2*STD = -2.783 Date_of_death = Jun2009 2*STD = 2.7827 -2*STD = -2.783 Date_of_death = May2009 2*STD = 2.7828 -2*STD = -2.783 Date_of_death = May2009 2*STD = 2.7828 -2*STD = -2.783 Date_of_death = Apr2009 2*STD = 2.7829 -2*STD = -2.783 Date_of_death = Apr2009 2*STD = 2.7829 -2*STD = -2.783 Date_of_death = Mar2009 2*STD = 2.7831 -2*STD = -2.783 Date_of_death = Mar2009 2*STD = 2.7831 -2*STD = -2.783 Date_of_death = Feb2009 2*STD = 2.7832 -2*STD = -2.783 Date_of_death = Feb2009 2*STD = 2.7832 -2*STD = -2.783 Date_of_death = Jan2009 2*STD = 2.7833 -2*STD = -2.783 Date_of_death = Jan2009 2*STD = 2.7833 -2*STD = -2.783 Date_of_death = Dec2008 2*STD = 2.7961 -2*STD = -2.796 Date_of_death = Dec2008 2*STD = 2.7961 -2*STD = -2.796 Date_of_death = Nov2008 2*STD = 2.7961 -2*STD = -2.796 Date_of_death = Nov2008 2*STD = 2.7961 -2*STD = -2.796 Date_of_death = Oct2008 2*STD = 2.7962 -2*STD = -2.796 Date_of_death = Oct2008 2*STD = 2.7962 -2*STD = -2.796 Date_of_death = Sep2008 2*STD = 2.7963 -2*STD = -2.796 Date_of_death = Sep2008 2*STD = 2.7963 -2*STD = -2.796 Date_of_death = Aug2008 2*STD = 2.7963 -2*STD = -2.796 Date_of_death = Aug2008 2*STD = 2.7963 -2*STD = -2.796 Date_of_death = Jul2008 2*STD = 2.7964 -2*STD = -2.796 Date_of_death = Jul2008 2*STD = 2.7964 -2*STD = -2.796 Date_of_death = Jun2008 2*STD = 2.7965 -2*STD = -2.797 Date_of_death = Jun2008 2*STD = 2.7965 -2*STD = -2.797 Date_of_death = May2008 2*STD = 2.7967 -2*STD = -2.797 Date_of_death = May2008 2*STD = 2.7967 -2*STD = -2.797 Date_of_death = Apr2008 2*STD = 2.7968 -2*STD = -2.797 Date_of_death = Apr2008 2*STD = 2.7968 -2*STD = -2.797 Date_of_death = Mar2008 2*STD = 2.797 -2*STD = -2.797 Date_of_death = Mar2008 2*STD = 2.797 -2*STD = -2.797 Date_of_death = Feb2008 2*STD = 2.7972 -2*STD = -2.797 Date_of_death = Feb2008 2*STD = 2.7972 -2*STD = -2.797 Date_of_death = Jan2008 2*STD = 2.7973 -2*STD = -2.797 Date_of_death = Jan2008 2*STD = 2.7973 -2*STD = -2.797 Date_of_death = Dec2007 2*STD = 2.8142 -2*STD = -2.814 Date_of_death = Dec2007 2*STD = 2.8142 -2*STD = -2.814 Date_of_death = Nov2007 2*STD = 2.8143 -2*STD = -2.814 Date_of_death = Nov2007 2*STD = 2.8143 -2*STD = -2.814 Date_of_death = Oct2007 2*STD = 2.8143 -2*STD = -2.814 Date_of_death = Oct2007 2*STD = 2.8143 -2*STD = -2.814 Date_of_death = Sep2007 2*STD = 2.8144 -2*STD = -2.814 Date_of_death = Sep2007 2*STD = 2.8144 -2*STD = -2.814 Date_of_death = Aug2007 2*STD = 2.8145 -2*STD = -2.814 Date_of_death = Aug2007 2*STD = 2.8145 -2*STD = -2.814 Date_of_death = Jul2007 2*STD = 2.8146 -2*STD = -2.815 Date_of_death = Jul2007 2*STD = 2.8146 -2*STD = -2.815 Date_of_death = Jun2007 2*STD = 2.8147 -2*STD = -2.815 Date_of_death = Jun2007 2*STD = 2.8147 -2*STD = -2.815 Date_of_death = May2007 2*STD = 2.8148 -2*STD = -2.815 Date_of_death = May2007 2*STD = 2.8148 -2*STD = -2.815 Date_of_death = Apr2007 2*STD = 2.815 -2*STD = -2.815 Date_of_death = Apr2007 2*STD = 2.815 -2*STD = -2.815 Date_of_death = Mar2007 2*STD = 2.8152 -2*STD = -2.815 Date_of_death = Mar2007 2*STD = 2.8152 -2*STD = -2.815 Date_of_death = Feb2007 2*STD = 2.8155 -2*STD = -2.815 Date_of_death = Feb2007 2*STD = 2.8155 -2*STD = -2.815 Date_of_death = Jan2007 2*STD = 2.8156 -2*STD = -2.816 Date_of_death = Jan2007 2*STD = 2.8156 -2*STD = -2.816 Date_of_death = Dec2006 2*STD = 2.8388 -2*STD = -2.839 Date_of_death = Dec2006 2*STD = 2.8388 -2*STD = -2.839 Date_of_death = Nov2006 2*STD = 2.8388 -2*STD = -2.839 Date_of_death = Nov2006 2*STD = 2.8388 -2*STD = -2.839 Date_of_death = Oct2006 2*STD = 2.8389 -2*STD = -2.839 Date_of_death = Oct2006 2*STD = 2.8389 -2*STD = -2.839 Date_of_death = Sep2006 2*STD = 2.839 -2*STD = -2.839 Date_of_death = Sep2006 2*STD = 2.839 -2*STD = -2.839 Date_of_death = Aug2006 2*STD = 2.8391 -2*STD = -2.839 Date_of_death = Aug2006 2*STD = 2.8391 -2*STD = -2.839 Date_of_death = Jul2006 2*STD = 2.8392 -2*STD = -2.839 Date_of_death = Jul2006 2*STD = 2.8392 -2*STD = -2.839 Date_of_death = Jun2006 2*STD = 2.8393 -2*STD = -2.839 Date_of_death = Jun2006 2*STD = 2.8393 -2*STD = -2.839 Date_of_death = May2006 2*STD = 2.8395 -2*STD = -2.84 Date_of_death = May2006 2*STD = 2.8395 -2*STD = -2.84 Date_of_death = Apr2006 2*STD = 2.8397 -2*STD = -2.84 Date_of_death = Apr2006 2*STD = 2.8397 -2*STD = -2.84 Date_of_death = Mar2006 2*STD = 2.8399 -2*STD = -2.84 Date_of_death = Mar2006 2*STD = 2.8399 -2*STD = -2.84 Date_of_death = Feb2006 2*STD = 2.8402 -2*STD = -2.84 Date_of_death = Feb2006 2*STD = 2.8402 -2*STD = -2.84 Date_of_death = Jan2006 2*STD = 2.8404 -2*STD = -2.84 Date_of_death = Jan2006 2*STD = 2.8404 -2*STD = -2.84 Date_of_death = Dec2005 2*STD = 2.8737 -2*STD = -2.874 Date_of_death = Dec2005 2*STD = 2.8737 -2*STD = -2.874 Date_of_death = Nov2005 2*STD = 2.8737 -2*STD = -2.874 Date_of_death = Nov2005 2*STD = 2.8737 -2*STD = -2.874 Date_of_death = Oct2005 2*STD = 2.8738 -2*STD = -2.874 Date_of_death = Oct2005 2*STD = 2.8738 -2*STD = -2.874 Date_of_death = Sep2005 2*STD = 2.8739 -2*STD = -2.874 Date_of_death = Sep2005 2*STD = 2.8739 -2*STD = -2.874 Date_of_death = Aug2005 2*STD = 2.874 -2*STD = -2.874 Date_of_death = Aug2005 2*STD = 2.874 -2*STD = -2.874 Date_of_death = Jul2005 2*STD = 2.8741 -2*STD = -2.874 Date_of_death = Jul2005 2*STD = 2.8741 -2*STD = -2.874 Date_of_death = Jun2005 2*STD = 2.8743 -2*STD = -2.874 Date_of_death = Jun2005 2*STD = 2.8743 -2*STD = -2.874 Date_of_death = May2005 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = May2005 2*STD = 2.8744 -2*STD = -2.874 Date_of_death = Apr2005 2*STD = 2.8746 -2*STD = -2.875 Date_of_death = Apr2005 2*STD = 2.8746 -2*STD = -2.875 Date_of_death = Mar2005 2*STD = 2.8749 -2*STD = -2.875 Date_of_death = Mar2005 2*STD = 2.8749 -2*STD = -2.875 Date_of_death = Feb2005 2*STD = 2.8752 -2*STD = -2.875 Date_of_death = Feb2005 2*STD = 2.8752 -2*STD = -2.875 Date_of_death = Jan2005 2*STD = 2.8754 -2*STD = -2.875 Date_of_death = Jan2005 2*STD = 2.8754 -2*STD = -2.875 Date_of_death = Dec2004 2*STD = 2.9264 -2*STD = -2.926 Date_of_death = Dec2004 2*STD = 2.9264 -2*STD = -2.926 Date_of_death = Nov2004 2*STD = 2.9264 -2*STD = -2.926 Date_of_death = Nov2004 2*STD = 2.9264 -2*STD = -2.926 Date_of_death = Oct2004 2*STD = 2.9265 -2*STD = -2.926 Date_of_death = Oct2004 2*STD = 2.9265 -2*STD = -2.926 Date_of_death = Sep2004 2*STD = 2.9266 -2*STD = -2.927 Date_of_death = Sep2004 2*STD = 2.9266 -2*STD = -2.927 Date_of_death = Aug2004 2*STD = 2.9267 -2*STD = -2.927 Date_of_death = Aug2004 2*STD = 2.9267 -2*STD = -2.927 Date_of_death = Jul2004 2*STD = 2.9268 -2*STD = -2.927 Date_of_death = Jul2004 2*STD = 2.9268 -2*STD = -2.927 Date_of_death = Jun2004 2*STD = 2.927 -2*STD = -2.927 Date_of_death = Jun2004 2*STD = 2.927 -2*STD = -2.927 Date_of_death = May2004 2*STD = 2.9271 -2*STD = -2.927 Date_of_death = May2004 2*STD = 2.9271 -2*STD = -2.927 Date_of_death = Apr2004 2*STD = 2.9274 -2*STD = -2.927 Date_of_death = Apr2004 2*STD = 2.9274 -2*STD = -2.927 Date_of_death = Mar2004 2*STD = 2.9276 -2*STD = -2.928 Date_of_death = Mar2004 2*STD = 2.9276 -2*STD = -2.928 Date_of_death = Feb2004 2*STD = 2.9279 -2*STD = -2.928 Date_of_death = Feb2004 2*STD = 2.9279 -2*STD = -2.928 Date_of_death = Jan2004 2*STD = 2.9282 -2*STD = -2.928 Date_of_death = Jan2004 2*STD = 2.9282 -2*STD = -2.928 Date_of_death = Dec2003 2*STD = 3.0142 -2*STD = -3.014 Date_of_death = Dec2003 2*STD = 3.0142 -2*STD = -3.014 Date_of_death = Nov2003 2*STD = 3.0142 -2*STD = -3.014 Date_of_death = Nov2003 2*STD = 3.0142 -2*STD = -3.014 Date_of_death = Oct2003 2*STD = 3.0143 -2*STD = -3.014 Date_of_death = Oct2003 2*STD = 3.0143 -2*STD = -3.014 Date_of_death = Sep2003 2*STD = 3.0143 -2*STD = -3.014 Date_of_death = Sep2003 2*STD = 3.0143 -2*STD = -3.014 Date_of_death = Aug2003 2*STD = 3.0144 -2*STD = -3.014 Date_of_death = Aug2003 2*STD = 3.0144 -2*STD = -3.014 Date_of_death = Jul2003 2*STD = 3.0145 -2*STD = -3.015 Date_of_death = Jul2003 2*STD = 3.0145 -2*STD = -3.015 Date_of_death = Jun2003 2*STD = 3.0147 -2*STD = -3.015 Date_of_death = Jun2003 2*STD = 3.0147 -2*STD = -3.015 Date_of_death = May2003 2*STD = 3.0149 -2*STD = -3.015 Date_of_death = May2003 2*STD = 3.0149 -2*STD = -3.015 Date_of_death = Apr2003 2*STD = 3.0151 -2*STD = -3.015 Date_of_death = Apr2003 2*STD = 3.0151 -2*STD = -3.015 Date_of_death = Mar2003 2*STD = 3.0153 -2*STD = -3.015 Date_of_death = Mar2003 2*STD = 3.0153 -2*STD = -3.015 Date_of_death = Feb2003 2*STD = 3.0156 -2*STD = -3.016 Date_of_death = Feb2003 2*STD = 3.0156 -2*STD = -3.016 Date_of_death = Jan2003 2*STD = 3.0159 -2*STD = -3.016 Date_of_death = Jan2003 2*STD = 3.0159 -2*STD = -3.016 Date_of_death = Dec2002 2*STD = 3.1865 -2*STD = -3.187 Date_of_death = Dec2002 2*STD = 3.1865 -2*STD = -3.187 Date_of_death = Nov2002 2*STD = 3.1865 -2*STD = -3.187 Date_of_death = Nov2002 2*STD = 3.1865 -2*STD = -3.187 Date_of_death = Oct2002 2*STD = 3.1865 -2*STD = -3.187 Date_of_death = Oct2002 2*STD = 3.1865 -2*STD = -3.187 Date_of_death = Sep2002 2*STD = 3.1866 -2*STD = -3.187 Date_of_death = Sep2002 2*STD = 3.1866 -2*STD = -3.187 Date_of_death = Aug2002 2*STD = 3.1867 -2*STD = -3.187 Date_of_death = Aug2002 2*STD = 3.1867 -2*STD = -3.187 Date_of_death = Jul2002 2*STD = 3.1867 -2*STD = -3.187 Date_of_death = Jul2002 2*STD = 3.1867 -2*STD = -3.187 Date_of_death = Jun2002 2*STD = 3.1868 -2*STD = -3.187 Date_of_death = Jun2002 2*STD = 3.1868 -2*STD = -3.187 Date_of_death = May2002 2*STD = 3.187 -2*STD = -3.187 Date_of_death = May2002 2*STD = 3.187 -2*STD = -3.187 Date_of_death = Apr2002 2*STD = 3.1871 -2*STD = -3.187 Date_of_death = Apr2002 2*STD = 3.1871 -2*STD = -3.187 Date_of_death = Mar2002 2*STD = 3.1873 -2*STD = -3.187 Date_of_death = Mar2002 2*STD = 3.1873 -2*STD = -3.187 Date_of_death = Feb2002 2*STD = 3.1876 -2*STD = -3.188 Date_of_death = Feb2002 2*STD = 3.1876 -2*STD = -3.188 Date_of_death = Jan2002 2*STD = 3.1878 -2*STD = -3.188 Date_of_death = Jan2002 2*STD = 3.1878 -2*STD = -3.188 Date_of_death = Dec2001 2*STD = 3.6649 -2*STD = -3.665 Date_of_death = Dec2001 2*STD = 3.6649 -2*STD = -3.665 Date_of_death = Nov2001 2*STD = 3.6649 -2*STD = -3.665 Date_of_death = Nov2001 2*STD = 3.6649 -2*STD = -3.665 Date_of_death = Oct2001 2*STD = 3.6649 -2*STD = -3.665 Date_of_death = Oct2001 2*STD = 3.6649 -2*STD = -3.665 Date_of_death = Sep2001 2*STD = 3.6649 -2*STD = -3.665 Date_of_death = Sep2001 2*STD = 3.6649 -2*STD = -3.665 Date_of_death = Aug2001 2*STD = 3.665 -2*STD = -3.665 Date_of_death = Aug2001 2*STD = 3.665 -2*STD = -3.665 Date_of_death = Jul2001 2*STD = 3.665 -2*STD = -3.665 Date_of_death = Jul2001 2*STD = 3.665 -2*STD = -3.665 Date_of_death = Jun2001 2*STD = 3.6651 -2*STD = -3.665 Date_of_death = Jun2001 2*STD = 3.6651 -2*STD = -3.665 Date_of_death = May2001 2*STD = 3.6651 -2*STD = -3.665 Date_of_death = May2001 2*STD = 3.6651 -2*STD = -3.665 Date_of_death = Apr2001 2*STD = 3.6652 -2*STD = -3.665 Date_of_death = Apr2001 2*STD = 3.6652 -2*STD = -3.665 Date_of_death = Mar2001 2*STD = 3.6654 -2*STD = -3.665 Date_of_death = Mar2001 2*STD = 3.6654 -2*STD = -3.665 Date_of_death = Feb2001 2*STD = 3.6656 -2*STD = -3.666 Date_of_death = Feb2001 2*STD = 3.6656 -2*STD = -3.666 Date_of_death = Jan2001 2*STD = 3.6657 -2*STD = -3.666 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
239 NOV2019 2.154940 1.36573 -0.521833 4.831714
240 DEC2019 1.956273 1.36619 -0.721405 4.633951
241 JAN2020 1.779653 1.36641 -0.898452 4.457758
242 FEB2020 1.521184 1.36741 -1.158888 4.201257
243 MAR2020 1.597941 1.36840 -1.084071 4.279953
244 APR2020 1.926550 1.36938 -0.757380 4.610479
245 MAY2020 2.094934 1.37035 -0.590895 4.780764
246 JUN2020 2.331388 1.37131 -0.356324 5.019101
247 JUL2020 1.951307 1.37226 -0.738271 4.640885
248 AUG2020 2.241881 1.37320 -0.449541 4.933303
249 SEP2020 2.664584 1.37410 -0.028604 5.357771
250 OCT2020 2.090039 1.37452 -0.603963 4.784042

Forecasts Only Plot

Date_of_death = Oct2020 Forecast = 2.0900 Date_of_death = Sep2020 Forecast = 2.6646 Date_of_death = Sep2020 Forecast = 2.6646 Date_of_death = Aug2020 Forecast = 2.2419 Date_of_death = Aug2020 Forecast = 2.2419 Date_of_death = Jul2020 Forecast = 1.9513 Date_of_death = Jul2020 Forecast = 1.9513 Date_of_death = Jun2020 Forecast = 2.3314 Date_of_death = Jun2020 Forecast = 2.3314 Date_of_death = May2020 Forecast = 2.0949 Date_of_death = May2020 Forecast = 2.0949 Date_of_death = Apr2020 Forecast = 1.9265 Date_of_death = Apr2020 Forecast = 1.9265 Date_of_death = Mar2020 Forecast = 1.5979 Date_of_death = Mar2020 Forecast = 1.5979 Date_of_death = Feb2020 Forecast = 1.5212 Date_of_death = Feb2020 Forecast = 1.5212 Date_of_death = Jan2020 Forecast = 1.7797 Date_of_death = Jan2020 Forecast = 1.7797 Date_of_death = Dec2019 Forecast = 1.9563 Date_of_death = Dec2019 Forecast = 1.9563 Date_of_death = Nov2019 Forecast = 2.1549 Date_of_death = Oct2020 Upper 95% = 4.7840 Lower 95% = -0.6040 Date_of_death = Sep2020 Upper 95% = 5.3578 Lower 95% = -0.0286 Date_of_death = Sep2020 Upper 95% = 5.3578 Lower 95% = -0.0286 Date_of_death = Aug2020 Upper 95% = 4.9333 Lower 95% = -0.4495 Date_of_death = Aug2020 Upper 95% = 4.9333 Lower 95% = -0.4495 Date_of_death = Jul2020 Upper 95% = 4.6409 Lower 95% = -0.7383 Date_of_death = Jul2020 Upper 95% = 4.6409 Lower 95% = -0.7383 Date_of_death = Jun2020 Upper 95% = 5.0191 Lower 95% = -0.3563 Date_of_death = Jun2020 Upper 95% = 5.0191 Lower 95% = -0.3563 Date_of_death = May2020 Upper 95% = 4.7808 Lower 95% = -0.5909 Date_of_death = May2020 Upper 95% = 4.7808 Lower 95% = -0.5909 Date_of_death = Apr2020 Upper 95% = 4.6105 Lower 95% = -0.7574 Date_of_death = Apr2020 Upper 95% = 4.6105 Lower 95% = -0.7574 Date_of_death = Mar2020 Upper 95% = 4.2800 Lower 95% = -1.0841 Date_of_death = Mar2020 Upper 95% = 4.2800 Lower 95% = -1.0841 Date_of_death = Feb2020 Upper 95% = 4.2013 Lower 95% = -1.1589 Date_of_death = Feb2020 Upper 95% = 4.2013 Lower 95% = -1.1589 Date_of_death = Jan2020 Upper 95% = 4.4578 Lower 95% = -0.8985 Date_of_death = Jan2020 Upper 95% = 4.4578 Lower 95% = -0.8985 Date_of_death = Dec2019 Upper 95% = 4.6340 Lower 95% = -0.7214 Date_of_death = Dec2019 Upper 95% = 4.6340 Lower 95% = -0.7214 Date_of_death = Nov2019 Upper 95% = 4.8317 Lower 95% = -0.5218
Forecast Only Plot

Forecasts Plot

X = 21823 Date_of_death = Oct2020 Forecast = 2.0900 Date_of_death = Sep2020 Forecast = 2.6646 Date_of_death = Sep2020 Forecast = 2.6646 Date_of_death = Aug2020 Forecast = 2.2419 Date_of_death = Aug2020 Forecast = 2.2419 Date_of_death = Jul2020 Forecast = 1.9513 Date_of_death = Jul2020 Forecast = 1.9513 Date_of_death = Jun2020 Forecast = 2.3314 Date_of_death = Jun2020 Forecast = 2.3314 Date_of_death = May2020 Forecast = 2.0949 Date_of_death = May2020 Forecast = 2.0949 Date_of_death = Apr2020 Forecast = 1.9265 Date_of_death = Apr2020 Forecast = 1.9265 Date_of_death = Mar2020 Forecast = 1.5979 Date_of_death = Mar2020 Forecast = 1.5979 Date_of_death = Feb2020 Forecast = 1.5212 Date_of_death = Feb2020 Forecast = 1.5212 Date_of_death = Jan2020 Forecast = 1.7797 Date_of_death = Jan2020 Forecast = 1.7797 Date_of_death = Dec2019 Forecast = 1.9563 Date_of_death = Dec2019 Forecast = 1.9563 Date_of_death = Nov2019 Forecast = 2.1549 Date_of_death = Nov2019 Forecast = 2.1549 Date_of_death = Oct2019 Forecast = 2.2278 Date_of_death = Oct2019 Forecast = 2.2278 Date_of_death = Sep2019 Forecast = 2.7831 Date_of_death = Sep2019 Forecast = 2.7831 Date_of_death = Aug2019 Forecast = 2.0921 Date_of_death = Aug2019 Forecast = 2.0921 Date_of_death = Jul2019 Forecast = 1.9755 Date_of_death = Jul2019 Forecast = 1.9755 Date_of_death = Jun2019 Forecast = 2.5054 Date_of_death = Jun2019 Forecast = 2.5054 Date_of_death = May2019 Forecast = 2.2798 Date_of_death = May2019 Forecast = 2.2798 Date_of_death = Apr2019 Forecast = 2.1458 Date_of_death = Apr2019 Forecast = 2.1458 Date_of_death = Mar2019 Forecast = 1.8261 Date_of_death = Mar2019 Forecast = 1.8261 Date_of_death = Feb2019 Forecast = 1.7795 Date_of_death = Feb2019 Forecast = 1.7795 Date_of_death = Jan2019 Forecast = 1.7252 Date_of_death = Jan2019 Forecast = 1.7252 Date_of_death = Dec2018 Forecast = 2.2515 Date_of_death = Dec2018 Forecast = 2.2515 Date_of_death = Nov2018 Forecast = 2.0820 Date_of_death = Nov2018 Forecast = 2.0820 Date_of_death = Oct2018 Forecast = 2.4634 Date_of_death = Oct2018 Forecast = 2.4634 Date_of_death = Sep2018 Forecast = 3.1108 Date_of_death = Sep2018 Forecast = 3.1108 Date_of_death = Aug2018 Forecast = 2.3366 Date_of_death = Aug2018 Forecast = 2.3366 Date_of_death = Jul2018 Forecast = 2.2226 Date_of_death = Jul2018 Forecast = 2.2226 Date_of_death = Jun2018 Forecast = 2.8991 Date_of_death = Jun2018 Forecast = 2.8991 Date_of_death = May2018 Forecast = 2.6486 Date_of_death = May2018 Forecast = 2.6486 Date_of_death = Apr2018 Forecast = 2.3955 Date_of_death = Apr2018 Forecast = 2.3955 Date_of_death = Mar2018 Forecast = 2.1635 Date_of_death = Mar2018 Forecast = 2.1635 Date_of_death = Feb2018 Forecast = 2.1584 Date_of_death = Feb2018 Forecast = 2.1584 Date_of_death = Jan2018 Forecast = 1.8133 Date_of_death = Jan2018 Forecast = 1.8133 Date_of_death = Dec2017 Forecast = 2.7350 Date_of_death = Dec2017 Forecast = 2.7350 Date_of_death = Nov2017 Forecast = 2.6049 Date_of_death = Nov2017 Forecast = 2.6049 Date_of_death = Oct2017 Forecast = 2.6417 Date_of_death = Oct2017 Forecast = 2.6417 Date_of_death = Sep2017 Forecast = 3.2892 Date_of_death = Sep2017 Forecast = 3.2892 Date_of_death = Aug2017 Forecast = 2.3660 Date_of_death = Aug2017 Forecast = 2.3660 Date_of_death = Jul2017 Forecast = 2.5401 Date_of_death = Jul2017 Forecast = 2.5401 Date_of_death = Jun2017 Forecast = 3.2503 Date_of_death = Jun2017 Forecast = 3.2503 Date_of_death = May2017 Forecast = 2.9946 Date_of_death = May2017 Forecast = 2.9946 Date_of_death = Apr2017 Forecast = 2.7669 Date_of_death = Apr2017 Forecast = 2.7669 Date_of_death = Mar2017 Forecast = 2.1421 Date_of_death = Mar2017 Forecast = 2.1421 Date_of_death = Feb2017 Forecast = 2.4907 Date_of_death = Feb2017 Forecast = 2.4907 Date_of_death = Jan2017 Forecast = 2.0351 Date_of_death = Jan2017 Forecast = 2.0351 Date_of_death = Dec2016 Forecast = 2.7603 Date_of_death = Dec2016 Forecast = 2.7603 Date_of_death = Nov2016 Forecast = 2.5488 Date_of_death = Nov2016 Forecast = 2.5488 Date_of_death = Oct2016 Forecast = 2.5858 Date_of_death = Oct2016 Forecast = 2.5858 Date_of_death = Sep2016 Forecast = 3.7001 Date_of_death = Sep2016 Forecast = 3.7001 Date_of_death = Aug2016 Forecast = 2.7442 Date_of_death = Aug2016 Forecast = 2.7442 Date_of_death = Jul2016 Forecast = 2.6825 Date_of_death = Jul2016 Forecast = 2.6825 Date_of_death = Jun2016 Forecast = 3.2738 Date_of_death = Jun2016 Forecast = 3.2738 Date_of_death = May2016 Forecast = 2.8791 Date_of_death = May2016 Forecast = 2.8791 Date_of_death = Apr2016 Forecast = 2.5499 Date_of_death = Apr2016 Forecast = 2.5499 Date_of_death = Mar2016 Forecast = 1.9565 Date_of_death = Mar2016 Forecast = 1.9565 Date_of_death = Feb2016 Forecast = 2.1254 Date_of_death = Feb2016 Forecast = 2.1254 Date_of_death = Jan2016 Forecast = 1.9541 Date_of_death = Jan2016 Forecast = 1.9541 Date_of_death = Dec2015 Forecast = 2.7057 Date_of_death = Dec2015 Forecast = 2.7057 Date_of_death = Nov2015 Forecast = 2.4208 Date_of_death = Nov2015 Forecast = 2.4208 Date_of_death = Oct2015 Forecast = 2.4631 Date_of_death = Oct2015 Forecast = 2.4631 Date_of_death = Sep2015 Forecast = 3.4670 Date_of_death = Sep2015 Forecast = 3.4670 Date_of_death = Aug2015 Forecast = 2.7154 Date_of_death = Aug2015 Forecast = 2.7154 Date_of_death = Jul2015 Forecast = 2.7063 Date_of_death = Jul2015 Forecast = 2.7063 Date_of_death = Jun2015 Forecast = 3.0760 Date_of_death = Jun2015 Forecast = 3.0760 Date_of_death = May2015 Forecast = 2.6730 Date_of_death = May2015 Forecast = 2.6730 Date_of_death = Apr2015 Forecast = 2.7145 Date_of_death = Apr2015 Forecast = 2.7145 Date_of_death = Mar2015 Forecast = 1.9947 Date_of_death = Mar2015 Forecast = 1.9947 Date_of_death = Feb2015 Forecast = 2.1155 Date_of_death = Feb2015 Forecast = 2.1155 Date_of_death = Jan2015 Forecast = 1.7236 Date_of_death = Jan2015 Forecast = 1.7236 Date_of_death = Dec2014 Forecast = 2.4825 Date_of_death = Dec2014 Forecast = 2.4825 Date_of_death = Nov2014 Forecast = 2.5277 Date_of_death = Nov2014 Forecast = 2.5277 Date_of_death = Oct2014 Forecast = 2.4865 Date_of_death = Oct2014 Forecast = 2.4865 Date_of_death = Sep2014 Forecast = 3.3777 Date_of_death = Sep2014 Forecast = 3.3777 Date_of_death = Aug2014 Forecast = 2.8518 Date_of_death = Aug2014 Forecast = 2.8518 Date_of_death = Jul2014 Forecast = 2.4319 Date_of_death = Jul2014 Forecast = 2.4319 Date_of_death = Jun2014 Forecast = 3.0081 Date_of_death = Jun2014 Forecast = 3.0081 Date_of_death = May2014 Forecast = 2.8306 Date_of_death = May2014 Forecast = 2.8306 Date_of_death = Apr2014 Forecast = 2.4623 Date_of_death = Apr2014 Forecast = 2.4623 Date_of_death = Mar2014 Forecast = 2.0438 Date_of_death = Mar2014 Forecast = 2.0438 Date_of_death = Feb2014 Forecast = 1.8348 Date_of_death = Feb2014 Forecast = 1.8348 Date_of_death = Jan2014 Forecast = 1.8392 Date_of_death = Jan2014 Forecast = 1.8392 Date_of_death = Dec2013 Forecast = 2.3138 Date_of_death = Dec2013 Forecast = 2.3138 Date_of_death = Nov2013 Forecast = 2.5558 Date_of_death = Nov2013 Forecast = 2.5558 Date_of_death = Oct2013 Forecast = 2.2149 Date_of_death = Oct2013 Forecast = 2.2149 Date_of_death = Sep2013 Forecast = 3.1842 Date_of_death = Sep2013 Forecast = 3.1842 Date_of_death = Aug2013 Forecast = 2.5009 Date_of_death = Aug2013 Forecast = 2.5009 Date_of_death = Jul2013 Forecast = 2.0156 Date_of_death = Jul2013 Forecast = 2.0156 Date_of_death = Jun2013 Forecast = 3.0049 Date_of_death = Jun2013 Forecast = 3.0049 Date_of_death = May2013 Forecast = 2.7983 Date_of_death = May2013 Forecast = 2.7983 Date_of_death = Apr2013 Forecast = 2.4851 Date_of_death = Apr2013 Forecast = 2.4851 Date_of_death = Mar2013 Forecast = 1.9177 Date_of_death = Mar2013 Forecast = 1.9177 Date_of_death = Feb2013 Forecast = 1.8928 Date_of_death = Feb2013 Forecast = 1.8928 Date_of_death = Jan2013 Forecast = 1.4879 Date_of_death = Jan2013 Forecast = 1.4879 Date_of_death = Dec2012 Forecast = 2.2979 Date_of_death = Dec2012 Forecast = 2.2979 Date_of_death = Nov2012 Forecast = 2.5613 Date_of_death = Nov2012 Forecast = 2.5613 Date_of_death = Oct2012 Forecast = 1.9599 Date_of_death = Oct2012 Forecast = 1.9599 Date_of_death = Sep2012 Forecast = 3.0596 Date_of_death = Sep2012 Forecast = 3.0596 Date_of_death = Aug2012 Forecast = 2.5908 Date_of_death = Aug2012 Forecast = 2.5908 Date_of_death = Jul2012 Forecast = 2.0825 Date_of_death = Jul2012 Forecast = 2.0825 Date_of_death = Jun2012 Forecast = 2.8484 Date_of_death = Jun2012 Forecast = 2.8484 Date_of_death = May2012 Forecast = 2.5054 Date_of_death = May2012 Forecast = 2.5054 Date_of_death = Apr2012 Forecast = 2.0437 Date_of_death = Apr2012 Forecast = 2.0437 Date_of_death = Mar2012 Forecast = 1.7536 Date_of_death = Mar2012 Forecast = 1.7536 Date_of_death = Feb2012 Forecast = 1.7248 Date_of_death = Feb2012 Forecast = 1.7248 Date_of_death = Jan2012 Forecast = 1.3632 Date_of_death = Jan2012 Forecast = 1.3632 Date_of_death = Dec2011 Forecast = 1.8444 Date_of_death = Dec2011 Forecast = 1.8444 Date_of_death = Nov2011 Forecast = 2.5480 Date_of_death = Nov2011 Forecast = 2.5480 Date_of_death = Oct2011 Forecast = 1.9532 Date_of_death = Oct2011 Forecast = 1.9532 Date_of_death = Sep2011 Forecast = 2.8268 Date_of_death = Sep2011 Forecast = 2.8268 Date_of_death = Aug2011 Forecast = 2.2407 Date_of_death = Aug2011 Forecast = 2.2407 Date_of_death = Jul2011 Forecast = 1.6011 Date_of_death = Jul2011 Forecast = 1.6011 Date_of_death = Jun2011 Forecast = 2.7536 Date_of_death = Jun2011 Forecast = 2.7536 Date_of_death = May2011 Forecast = 2.4243 Date_of_death = May2011 Forecast = 2.4243 Date_of_death = Apr2011 Forecast = 2.1172 Date_of_death = Apr2011 Forecast = 2.1172 Date_of_death = Mar2011 Forecast = 1.3284 Date_of_death = Mar2011 Forecast = 1.3284 Date_of_death = Feb2011 Forecast = 1.6577 Date_of_death = Feb2011 Forecast = 1.6577 Date_of_death = Jan2011 Forecast = 1.2446 Date_of_death = Jan2011 Forecast = 1.2446 Date_of_death = Dec2010 Forecast = 1.5515 Date_of_death = Dec2010 Forecast = 1.5515 Date_of_death = Nov2010 Forecast = 2.5874 Date_of_death = Nov2010 Forecast = 2.5874 Date_of_death = Oct2010 Forecast = 1.9113 Date_of_death = Oct2010 Forecast = 1.9113 Date_of_death = Sep2010 Forecast = 2.5379 Date_of_death = Sep2010 Forecast = 2.5379 Date_of_death = Aug2010 Forecast = 2.3812 Date_of_death = Aug2010 Forecast = 2.3812 Date_of_death = Jul2010 Forecast = 1.7371 Date_of_death = Jul2010 Forecast = 1.7371 Date_of_death = Jun2010 Forecast = 3.0789 Date_of_death = Jun2010 Forecast = 3.0789 Date_of_death = May2010 Forecast = 2.7411 Date_of_death = May2010 Forecast = 2.7411 Date_of_death = Apr2010 Forecast = 1.9638 Date_of_death = Apr2010 Forecast = 1.9638 Date_of_death = Mar2010 Forecast = 1.5653 Date_of_death = Mar2010 Forecast = 1.5653 Date_of_death = Feb2010 Forecast = 1.7654 Date_of_death = Feb2010 Forecast = 1.7654 Date_of_death = Jan2010 Forecast = 1.4504 Date_of_death = Jan2010 Forecast = 1.4504 Date_of_death = Dec2009 Forecast = 1.8545 Date_of_death = Dec2009 Forecast = 1.8545 Date_of_death = Nov2009 Forecast = 2.5301 Date_of_death = Nov2009 Forecast = 2.5301 Date_of_death = Oct2009 Forecast = 2.1956 Date_of_death = Oct2009 Forecast = 2.1956 Date_of_death = Sep2009 Forecast = 2.9877 Date_of_death = Sep2009 Forecast = 2.9877 Date_of_death = Aug2009 Forecast = 2.8219 Date_of_death = Aug2009 Forecast = 2.8219 Date_of_death = Jul2009 Forecast = 1.5900 Date_of_death = Jul2009 Forecast = 1.5900 Date_of_death = Jun2009 Forecast = 3.3598 Date_of_death = Jun2009 Forecast = 3.3598 Date_of_death = May2009 Forecast = 2.7803 Date_of_death = May2009 Forecast = 2.7803 Date_of_death = Apr2009 Forecast = 2.2757 Date_of_death = Apr2009 Forecast = 2.2757 Date_of_death = Mar2009 Forecast = 1.6617 Date_of_death = Mar2009 Forecast = 1.6617 Date_of_death = Feb2009 Forecast = 2.0702 Date_of_death = Feb2009 Forecast = 2.0702 Date_of_death = Jan2009 Forecast = 1.7108 Date_of_death = Jan2009 Forecast = 1.7108 Date_of_death = Dec2008 Forecast = 2.2058 Date_of_death = Dec2008 Forecast = 2.2058 Date_of_death = Nov2008 Forecast = 2.5416 Date_of_death = Nov2008 Forecast = 2.5416 Date_of_death = Oct2008 Forecast = 2.0609 Date_of_death = Oct2008 Forecast = 2.0609 Date_of_death = Sep2008 Forecast = 2.8528 Date_of_death = Sep2008 Forecast = 2.8528 Date_of_death = Aug2008 Forecast = 2.9329 Date_of_death = Aug2008 Forecast = 2.9329 Date_of_death = Jul2008 Forecast = 1.7446 Date_of_death = Jul2008 Forecast = 1.7446 Date_of_death = Jun2008 Forecast = 3.2779 Date_of_death = Jun2008 Forecast = 3.2779 Date_of_death = May2008 Forecast = 2.5748 Date_of_death = May2008 Forecast = 2.5748 Date_of_death = Apr2008 Forecast = 2.0743 Date_of_death = Apr2008 Forecast = 2.0743 Date_of_death = Mar2008 Forecast = 1.6754 Date_of_death = Mar2008 Forecast = 1.6754 Date_of_death = Feb2008 Forecast = 2.1286 Date_of_death = Feb2008 Forecast = 2.1286 Date_of_death = Jan2008 Forecast = 1.5262 Date_of_death = Jan2008 Forecast = 1.5262 Date_of_death = Dec2007 Forecast = 2.2758 Date_of_death = Dec2007 Forecast = 2.2758 Date_of_death = Nov2007 Forecast = 2.5747 Date_of_death = Nov2007 Forecast = 2.5747 Date_of_death = Oct2007 Forecast = 2.0948 Date_of_death = Oct2007 Forecast = 2.0948 Date_of_death = Sep2007 Forecast = 3.0784 Date_of_death = Sep2007 Forecast = 3.0784 Date_of_death = Aug2007 Forecast = 3.3661 Date_of_death = Aug2007 Forecast = 3.3661 Date_of_death = Jul2007 Forecast = 2.0008 Date_of_death = Jul2007 Forecast = 2.0008 Date_of_death = Jun2007 Forecast = 3.5222 Date_of_death = Jun2007 Forecast = 3.5222 Date_of_death = May2007 Forecast = 2.5626 Date_of_death = May2007 Forecast = 2.5626 Date_of_death = Apr2007 Forecast = 2.3474 Date_of_death = Apr2007 Forecast = 2.3474 Date_of_death = Mar2007 Forecast = 1.4504 Date_of_death = Mar2007 Forecast = 1.4504 Date_of_death = Feb2007 Forecast = 2.4800 Date_of_death = Feb2007 Forecast = 2.4800 Date_of_death = Jan2007 Forecast = 1.7944 Date_of_death = Jan2007 Forecast = 1.7944 Date_of_death = Dec2006 Forecast = 2.4876 Date_of_death = Dec2006 Forecast = 2.4876 Date_of_death = Nov2006 Forecast = 3.0689 Date_of_death = Nov2006 Forecast = 3.0689 Date_of_death = Oct2006 Forecast = 2.5356 Date_of_death = Oct2006 Forecast = 2.5356 Date_of_death = Sep2006 Forecast = 3.0868 Date_of_death = Sep2006 Forecast = 3.0868 Date_of_death = Aug2006 Forecast = 3.3397 Date_of_death = Aug2006 Forecast = 3.3397 Date_of_death = Jul2006 Forecast = 2.0548 Date_of_death = Jul2006 Forecast = 2.0548 Date_of_death = Jun2006 Forecast = 3.8983 Date_of_death = Jun2006 Forecast = 3.8983 Date_of_death = May2006 Forecast = 2.3941 Date_of_death = May2006 Forecast = 2.3941 Date_of_death = Apr2006 Forecast = 2.5411 Date_of_death = Apr2006 Forecast = 2.5411 Date_of_death = Mar2006 Forecast = 1.7488 Date_of_death = Mar2006 Forecast = 1.7488 Date_of_death = Feb2006 Forecast = 2.9749 Date_of_death = Feb2006 Forecast = 2.9749 Date_of_death = Jan2006 Forecast = 2.1726 Date_of_death = Jan2006 Forecast = 2.1726 Date_of_death = Dec2005 Forecast = 2.8253 Date_of_death = Dec2005 Forecast = 2.8253 Date_of_death = Nov2005 Forecast = 3.0121 Date_of_death = Nov2005 Forecast = 3.0121 Date_of_death = Oct2005 Forecast = 3.0261 Date_of_death = Oct2005 Forecast = 3.0261 Date_of_death = Sep2005 Forecast = 3.0564 Date_of_death = Sep2005 Forecast = 3.0564 Date_of_death = Aug2005 Forecast = 3.6284 Date_of_death = Aug2005 Forecast = 3.6284 Date_of_death = Jul2005 Forecast = 2.5225 Date_of_death = Jul2005 Forecast = 2.5225 Date_of_death = Jun2005 Forecast = 4.0753 Date_of_death = Jun2005 Forecast = 4.0753 Date_of_death = May2005 Forecast = 2.2608 Date_of_death = May2005 Forecast = 2.2608 Date_of_death = Apr2005 Forecast = 2.3808 Date_of_death = Apr2005 Forecast = 2.3808 Date_of_death = Mar2005 Forecast = 2.0508 Date_of_death = Mar2005 Forecast = 2.0508 Date_of_death = Feb2005 Forecast = 2.7865 Date_of_death = Feb2005 Forecast = 2.7865 Date_of_death = Jan2005 Forecast = 2.2108 Date_of_death = Jan2005 Forecast = 2.2108 Date_of_death = Dec2004 Forecast = 2.4591 Date_of_death = Dec2004 Forecast = 2.4591 Date_of_death = Nov2004 Forecast = 2.6839 Date_of_death = Nov2004 Forecast = 2.6839 Date_of_death = Oct2004 Forecast = 3.4841 Date_of_death = Oct2004 Forecast = 3.4841 Date_of_death = Sep2004 Forecast = 2.7211 Date_of_death = Sep2004 Forecast = 2.7211 Date_of_death = Aug2004 Forecast = 3.9962 Date_of_death = Aug2004 Forecast = 3.9962 Date_of_death = Jul2004 Forecast = 1.9712 Date_of_death = Jul2004 Forecast = 1.9712 Date_of_death = Jun2004 Forecast = 3.9432 Date_of_death = Jun2004 Forecast = 3.9432 Date_of_death = May2004 Forecast = 1.6482 Date_of_death = May2004 Forecast = 1.6482 Date_of_death = Apr2004 Forecast = 2.6712 Date_of_death = Apr2004 Forecast = 2.6712 Date_of_death = Mar2004 Forecast = 1.9522 Date_of_death = Mar2004 Forecast = 1.9522 Date_of_death = Feb2004 Forecast = 2.6514 Date_of_death = Feb2004 Forecast = 2.6514 Date_of_death = Jan2004 Forecast = 2.1910 Date_of_death = Jan2004 Forecast = 2.1910 Date_of_death = Dec2003 Forecast = 2.9750 Date_of_death = Dec2003 Forecast = 2.9750 Date_of_death = Nov2003 Forecast = 2.9804 Date_of_death = Nov2003 Forecast = 2.9804 Date_of_death = Oct2003 Forecast = 4.0357 Date_of_death = Oct2003 Forecast = 4.0357 Date_of_death = Sep2003 Forecast = 3.0642 Date_of_death = Sep2003 Forecast = 3.0642 Date_of_death = Aug2003 Forecast = 4.0490 Date_of_death = Aug2003 Forecast = 4.0490 Date_of_death = Jul2003 Forecast = 1.3400 Date_of_death = Jul2003 Forecast = 1.3400 Date_of_death = Jun2003 Forecast = 4.0070 Date_of_death = Jun2003 Forecast = 4.0070 Date_of_death = May2003 Forecast = 2.0341 Date_of_death = May2003 Forecast = 2.0341 Date_of_death = Apr2003 Forecast = 3.0393 Date_of_death = Apr2003 Forecast = 3.0393 Date_of_death = Mar2003 Forecast = 1.3387 Date_of_death = Mar2003 Forecast = 1.3387 Date_of_death = Feb2003 Forecast = 3.0042 Date_of_death = Feb2003 Forecast = 3.0042 Date_of_death = Jan2003 Forecast = 1.6276 Date_of_death = Jan2003 Forecast = 1.6276 Date_of_death = Dec2002 Forecast = 2.4461 Date_of_death = Dec2002 Forecast = 2.4461 Date_of_death = Nov2002 Forecast = 3.9828 Date_of_death = Nov2002 Forecast = 3.9828 Date_of_death = Oct2002 Forecast = 3.9790 Date_of_death = Oct2002 Forecast = 3.9790 Date_of_death = Sep2002 Forecast = 2.4603 Date_of_death = Sep2002 Forecast = 2.4603 Date_of_death = Aug2002 Forecast = 3.9501 Date_of_death = Aug2002 Forecast = 3.9501 Date_of_death = Jul2002 Forecast = 0.9336 Date_of_death = Jul2002 Forecast = 0.9336 Date_of_death = Jun2002 Forecast = 3.9310 Date_of_death = Jun2002 Forecast = 3.9310 Date_of_death = May2002 Forecast = 2.4629 Date_of_death = May2002 Forecast = 2.4629 Date_of_death = Apr2002 Forecast = 4.0038 Date_of_death = Apr2002 Forecast = 4.0038 Date_of_death = Mar2002 Forecast = 1.5233 Date_of_death = Mar2002 Forecast = 1.5233 Date_of_death = Feb2002 Forecast = 4.0735 Date_of_death = Feb2002 Forecast = 4.0735 Date_of_death = Jan2002 Forecast = 2.0964 Date_of_death = Jan2002 Forecast = 2.0964 Date_of_death = Dec2001 Forecast = 1.0422 Date_of_death = Dec2001 Forecast = 1.0422 Date_of_death = Nov2001 Forecast = 4.0510 Date_of_death = Nov2001 Forecast = 4.0510 Date_of_death = Oct2001 Forecast = 4.0561 Date_of_death = Oct2001 Forecast = 4.0561 Date_of_death = Sep2001 Forecast = 1.0346 Date_of_death = Sep2001 Forecast = 1.0346 Date_of_death = Aug2001 Forecast = 4.0406 Date_of_death = Aug2001 Forecast = 4.0406 Date_of_death = Jul2001 Forecast = 1.0467 Date_of_death = Jul2001 Forecast = 1.0467 Date_of_death = Jun2001 Forecast = 4.0491 Date_of_death = Jun2001 Forecast = 4.0491 Date_of_death = May2001 Forecast = 1.0246 Date_of_death = May2001 Forecast = 1.0246 Date_of_death = Apr2001 Forecast = 4.0265 Date_of_death = Apr2001 Forecast = 4.0265 Date_of_death = Mar2001 Forecast = 1.0193 Date_of_death = Mar2001 Forecast = 1.0193 Date_of_death = Feb2001 Forecast = 4.0190 Date_of_death = Feb2001 Forecast = 4.0190 Date_of_death = Jan2001 Forecast = 1.0000 Date_of_death = Oct2019 incidents = 1.0000 Date_of_death = Sep2019 incidents = 2.0000 Date_of_death = Aug2019 incidents = 4.0000 Date_of_death = Jul2019 incidents = 2.0000 Date_of_death = Jun2019 incidents = 1.0000 Date_of_death = May2019 incidents = 1.0000 Date_of_death = Apr2019 incidents = 1.0000 Date_of_death = Mar2019 incidents = 1.0000 Date_of_death = Feb2019 incidents = 1.0000 Date_of_death = Jan2019 incidents = 4.0000 Date_of_death = Dec2018 incidents = 1.0000 Date_of_death = Nov2018 incidents = 4.0000 Date_of_death = Oct2018 incidents = 1.0000 Date_of_death = Sep2018 incidents = 1.0000 Date_of_death = Aug2018 incidents = 2.0000 Date_of_death = Jul2018 incidents = 2.0000 Date_of_death = Jun2018 incidents = 1.0000 Date_of_death = May2018 incidents = 1.0000 Date_of_death = Apr2018 incidents = 2.0000 Date_of_death = Mar2018 incidents = 1.0000 Date_of_death = Feb2018 incidents = 1.0000 Date_of_death = Jan2018 incidents = 4.0000 Date_of_death = Dec2017 incidents = 1.0000 Date_of_death = Nov2017 incidents = 1.0000 Date_of_death = Oct2017 incidents = 4.0000 Date_of_death = Sep2017 incidents = 4.0000 Date_of_death = Aug2017 incidents = 4.0000 Date_of_death = Jul2017 incidents = 1.0000 Date_of_death = Jun2017 incidents = 1.0000 Date_of_death = May2017 incidents = 1.0000 Date_of_death = Apr2017 incidents = 1.0000 Date_of_death = Mar2017 incidents = 4.0000 Date_of_death = Feb2017 incidents = 1.0000 Date_of_death = Jan2017 incidents = 2.0000 Date_of_death = Dec2016 incidents = 4.0000 Date_of_death = Nov2016 incidents = 4.0000 Date_of_death = Oct2016 incidents = 4.0000 Date_of_death = Sep2016 incidents = 1.0000 Date_of_death = Aug2016 incidents = 1.0000 Date_of_death = Jul2016 incidents = 3.0000 Date_of_death = Jun2016 incidents = 4.0000 Date_of_death = May2016 incidents = 4.0000 Date_of_death = Apr2016 incidents = 4.0000 Date_of_death = Mar2016 incidents = 3.0000 Date_of_death = Feb2016 incidents = 4.0000 Date_of_death = Jan2016 incidents = 1.0000 Date_of_death = Dec2015 incidents = 2.0000 Date_of_death = Nov2015 incidents = 3.0000 Date_of_death = Oct2015 incidents = 3.0000 Date_of_death = Sep2015 incidents = 4.0000 Date_of_death = Aug2015 incidents = 1.0000 Date_of_death = Jul2015 incidents = 1.0000 Date_of_death = Jun2015 incidents = 4.0000 Date_of_death = May2015 incidents = 4.0000 Date_of_death = Apr2015 incidents = 1.0000 Date_of_death = Mar2015 incidents = 2.0000 Date_of_death = Feb2015 incidents = 3.0000 Date_of_death = Jan2015 incidents = 4.0000 Date_of_death = Dec2014 incidents = 4.0000 Date_of_death = Nov2014 incidents = 1.0000 Date_of_death = Oct2014 incidents = 2.0000 Date_of_death = Sep2014 incidents = 4.0000 Date_of_death = Aug2014 incidents = 1.0000 Date_of_death = Jul2014 incidents = 4.0000 Date_of_death = Jun2014 incidents = 3.0000 Date_of_death = May2014 incidents = 1.0000 Date_of_death = Apr2014 incidents = 4.0000 Date_of_death = Mar2014 incidents = 1.0000 Date_of_death = Feb2014 incidents = 4.0000 Date_of_death = Jan2014 incidents = 1.0000 Date_of_death = Dec2013 incidents = 4.0000 Date_of_death = Nov2013 incidents = 2.0000 Date_of_death = Oct2013 incidents = 4.0000 Date_of_death = Sep2013 incidents = 4.0000 Date_of_death = Aug2013 incidents = 4.0000 Date_of_death = Jul2013 incidents = 4.0000 Date_of_death = Jun2013 incidents = 1.0000 Date_of_death = May2013 incidents = 1.0000 Date_of_death = Apr2013 incidents = 1.0000 Date_of_death = Mar2013 incidents = 2.0000 Date_of_death = Feb2013 incidents = 1.0000 Date_of_death = Jan2013 incidents = 4.0000 Date_of_death = Dec2012 incidents = 2.0000 Date_of_death = Nov2012 incidents = 2.0000 Date_of_death = Oct2012 incidents = 4.0000 Date_of_death = Sep2012 incidents = 4.0000 Date_of_death = Aug2012 incidents = 2.0000 Date_of_death = Jul2012 incidents = 2.0000 Date_of_death = Jun2012 incidents = 4.0000 Date_of_death = May2012 incidents = 4.0000 Date_of_death = Apr2012 incidents = 4.0000 Date_of_death = Mar2012 incidents = 1.0000 Date_of_death = Feb2012 incidents = 1.0000 Date_of_death = Jan2012 incidents = 1.0000 Date_of_death = Dec2011 incidents = 4.0000 Date_of_death = Nov2011 incidents = 1.0000 Date_of_death = Oct2011 incidents = 1.0000 Date_of_death = Sep2011 incidents = 4.0000 Date_of_death = Aug2011 incidents = 4.0000 Date_of_death = Jul2011 incidents = 4.0000 Date_of_death = Jun2011 incidents = 2.0000 Date_of_death = May2011 incidents = 2.0000 Date_of_death = Apr2011 incidents = 1.0000 Date_of_death = Mar2011 incidents = 4.0000 Date_of_death = Feb2011 incidents = 1.0000 Date_of_death = Jan2011 incidents = 1.0000 Date_of_death = Dec2010 incidents = 3.0000 Date_of_death = Nov2010 incidents = 1.0000 Date_of_death = Oct2010 incidents = 1.0000 Date_of_death = Sep2010 incidents = 4.0000 Date_of_death = Aug2010 incidents = 1.0000 Date_of_death = Jul2010 incidents = 1.0000 Date_of_death = Jun2010 incidents = 1.0000 Date_of_death = May2010 incidents = 1.0000 Date_of_death = Apr2010 incidents = 4.0000 Date_of_death = Mar2010 incidents = 1.0000 Date_of_death = Feb2010 incidents = 2.0000 Date_of_death = Jan2010 incidents = 1.0000 Date_of_death = Dec2009 incidents = 1.0000 Date_of_death = Nov2009 incidents = 4.0000 Date_of_death = Oct2009 incidents = 1.0000 Date_of_death = Sep2009 incidents = 1.0000 Date_of_death = Aug2009 incidents = 1.0000 Date_of_death = Jul2009 incidents = 4.0000 Date_of_death = Jun2009 incidents = 2.0000 Date_of_death = May2009 incidents = 3.0000 Date_of_death = Apr2009 incidents = 1.0000 Date_of_death = Mar2009 incidents = 2.0000 Date_of_death = Feb2009 incidents = 1.0000 Date_of_death = Jan2009 incidents = 1.0000 Date_of_death = Dec2008 incidents = 1.0000 Date_of_death = Nov2008 incidents = 4.0000 Date_of_death = Oct2008 incidents = 4.0000 Date_of_death = Sep2008 incidents = 4.0000 Date_of_death = Aug2008 incidents = 2.0000 Date_of_death = Jul2008 incidents = 1.0000 Date_of_death = Jun2008 incidents = 4.0000 Date_of_death = May2008 incidents = 4.0000 Date_of_death = Apr2008 incidents = 3.0000 Date_of_death = Mar2008 incidents = 1.0000 Date_of_death = Feb2008 incidents = 1.0000 Date_of_death = Jan2008 incidents = 2.0000 Date_of_death = Dec2007 incidents = 1.0000 Date_of_death = Nov2007 incidents = 2.0000 Date_of_death = Oct2007 incidents = 2.0000 Date_of_death = Sep2007 incidents = 2.0000 Date_of_death = Aug2007 incidents = 1.0000 Date_of_death = Jul2007 incidents = 1.0000 Date_of_death = Jun2007 incidents = 3.0000 Date_of_death = May2007 incidents = 4.0000 Date_of_death = Apr2007 incidents = 2.0000 Date_of_death = Mar2007 incidents = 4.0000 Date_of_death = Feb2007 incidents = 1.0000 Date_of_death = Jan2007 incidents = 1.0000 Date_of_death = Dec2006 incidents = 2.0000 Date_of_death = Nov2006 incidents = 1.0000 Date_of_death = Oct2006 incidents = 1.0000 Date_of_death = Sep2006 incidents = 4.0000 Date_of_death = Aug2006 incidents = 4.0000 Date_of_death = Jul2006 incidents = 2.0000 Date_of_death = Jun2006 incidents = 2.0000 Date_of_death = May2006 incidents = 4.0000 Date_of_death = Apr2006 incidents = 2.0000 Date_of_death = Mar2006 incidents = 1.0000 Date_of_death = Feb2006 incidents = 1.0000 Date_of_death = Jan2006 incidents = 1.0000 Date_of_death = Dec2005 incidents = 2.0000 Date_of_death = Nov2005 incidents = 4.0000 Date_of_death = Oct2005 incidents = 1.0000 Date_of_death = Sep2005 incidents = 4.0000 Date_of_death = Aug2005 incidents = 3.0000 Date_of_death = Jul2005 incidents = 1.0000 Date_of_death = Jun2005 incidents = 4.0000 Date_of_death = May2005 incidents = 4.0000 Date_of_death = Apr2005 incidents = 4.0000 Date_of_death = Mar2005 incidents = 1.0000 Date_of_death = Feb2005 incidents = 4.0000 Date_of_death = Jan2005 incidents = 2.0000 Date_of_death = Dec2004 incidents = 4.0000 Date_of_death = Nov2004 incidents = 4.0000 Date_of_death = Oct2004 incidents = 1.0000 Date_of_death = Sep2004 incidents = 4.0000 Date_of_death = Aug2004 incidents = 2.0000 Date_of_death = Jul2004 incidents = 4.0000 Date_of_death = Jun2004 incidents = 4.0000 Date_of_death = May2004 incidents = 4.0000 Date_of_death = Apr2004 incidents = 1.0000 Date_of_death = Mar2004 incidents = 2.0000 Date_of_death = Feb2004 incidents = 3.0000 Date_of_death = Jan2004 incidents = 2.0000 Date_of_death = Dec2003 incidents = 1.0000 Date_of_death = Nov2003 incidents = 2.0000 Date_of_death = Oct2003 incidents = 2.0000 Date_of_death = Sep2003 incidents = 2.0000 Date_of_death = Aug2003 incidents = 4.0000 Date_of_death = Jul2003 incidents = 4.0000 Date_of_death = Jun2003 incidents = 4.0000 Date_of_death = May2003 incidents = 1.0000 Date_of_death = Apr2003 incidents = 2.0000 Date_of_death = Mar2003 incidents = 4.0000 Date_of_death = Feb2003 incidents = 2.0000 Date_of_death = Jan2003 incidents = 4.0000 Date_of_death = Dec2002 incidents = 4.0000 Date_of_death = Nov2002 incidents = 1.0000 Date_of_death = Oct2002 incidents = 4.0000 Date_of_death = Sep2002 incidents = 4.0000 Date_of_death = Aug2002 incidents = 4.0000 Date_of_death = Jul2002 incidents = 2.0000 Date_of_death = Jun2002 incidents = 4.0000 Date_of_death = May2002 incidents = 1.0000 Date_of_death = Apr2002 incidents = 1.0000 Date_of_death = Mar2002 incidents = 1.0000 Date_of_death = Feb2002 incidents = 1.0000 Date_of_death = Jan2002 incidents = 1.0000 Date_of_death = Dec2001 incidents = 4.0000 Date_of_death = Nov2001 incidents = 4.0000 Date_of_death = Oct2001 incidents = 4.0000 Date_of_death = Sep2001 incidents = 4.0000 Date_of_death = Aug2001 incidents = 4.0000 Date_of_death = Jul2001 incidents = 1.0000 Date_of_death = Jun2001 incidents = 4.0000 Date_of_death = May2001 incidents = 4.0000 Date_of_death = Apr2001 incidents = 4.0000 Date_of_death = Mar2001 incidents = 2.0000 Date_of_death = Feb2001 incidents = 4.0000 Date_of_death = Jan2001 incidents = 3.0000 Date_of_death = Oct2020 Upper 95% = 4.7840 Lower 95% = -0.6040 Date_of_death = Sep2020 Upper 95% = 5.3578 Lower 95% = -0.0286 Date_of_death = Sep2020 Upper 95% = 5.3578 Lower 95% = -0.0286 Date_of_death = Aug2020 Upper 95% = 4.9333 Lower 95% = -0.4495 Date_of_death = Aug2020 Upper 95% = 4.9333 Lower 95% = -0.4495 Date_of_death = Jul2020 Upper 95% = 4.6409 Lower 95% = -0.7383 Date_of_death = Jul2020 Upper 95% = 4.6409 Lower 95% = -0.7383 Date_of_death = Jun2020 Upper 95% = 5.0191 Lower 95% = -0.3563 Date_of_death = Jun2020 Upper 95% = 5.0191 Lower 95% = -0.3563 Date_of_death = May2020 Upper 95% = 4.7808 Lower 95% = -0.5909 Date_of_death = May2020 Upper 95% = 4.7808 Lower 95% = -0.5909 Date_of_death = Apr2020 Upper 95% = 4.6105 Lower 95% = -0.7574 Date_of_death = Apr2020 Upper 95% = 4.6105 Lower 95% = -0.7574 Date_of_death = Mar2020 Upper 95% = 4.2800 Lower 95% = -1.0841 Date_of_death = Mar2020 Upper 95% = 4.2800 Lower 95% = -1.0841 Date_of_death = Feb2020 Upper 95% = 4.2013 Lower 95% = -1.1589 Date_of_death = Feb2020 Upper 95% = 4.2013 Lower 95% = -1.1589 Date_of_death = Jan2020 Upper 95% = 4.4578 Lower 95% = -0.8985 Date_of_death = Jan2020 Upper 95% = 4.4578 Lower 95% = -0.8985 Date_of_death = Dec2019 Upper 95% = 4.6340 Lower 95% = -0.7214 Date_of_death = Dec2019 Upper 95% = 4.6340 Lower 95% = -0.7214 Date_of_death = Nov2019 Upper 95% = 4.8317 Lower 95% = -0.5218
Forecast Plot

County=San Diego

Series Span Summary

Estimation Span

County=San Diego

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 AUG2019 236 0 1.00000 4.00000 2.63559 1.33793

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 AUG2019 236 0 1.00000 4.00000 2.63559 1.33793

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.42597
Level Error Variance 0.53474
Season Error Variance 1.89946

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -403.9
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 813.71
BIC (smaller is better) 823.94
AICC (smaller is better) 813.82
HQIC (smaller is better) 817.84
CAIC (smaller is better) 826.94
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error		 t Value Approx
Pr > |t|
Irregular Error Variance 1.79717 0.16982 10.58 <.0001
Level Error Variance 1.858667E-9 1.04387E-6 0.00 0.9986
Season Error Variance 2.816886E-8 0.00001952 0.00 0.9988

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 2.14848
Root Mean Squared Error 1.46577
Mean Absolute Percentage Error 77.38853
Maximum Percent Error 75.00000
R-Square -0.20693
Adjusted R-Square -0.21786
Random Walk R-Square 0.42084
Amemiya's Adjusted R-Square -0.23970

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 28.49 <.0001
Level 1 912.64 <.0001
Season 11 10.07 0.5242

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.637061413 0.087291

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 2.816886E-8

Outlier Summary

Residual Diagnostics Panel

Prediction Error = 4.9219 Percent = 0.0131 Prediction Error = 4.875 Percent = 0.0156 Prediction Error = 4.875 Percent = 0.0156 Prediction Error = 4.8281 Percent = 0.0184 Prediction Error = 4.8281 Percent = 0.0184 Prediction Error = 4.7813 Percent = 0.0217 Prediction Error = 4.7813 Percent = 0.0217 Prediction Error = 4.7344 Percent = 0.0256 Prediction Error = 4.7344 Percent = 0.0256 Prediction Error = 4.6875 Percent = 0.03 Prediction Error = 4.6875 Percent = 0.03 Prediction Error = 4.6406 Percent = 0.0351 Prediction Error = 4.6406 Percent = 0.0351 Prediction Error = 4.5938 Percent = 0.041 Prediction Error = 4.5938 Percent = 0.041 Prediction Error = 4.5469 Percent = 0.0477 Prediction Error = 4.5469 Percent = 0.0477 Prediction Error = 4.5 Percent = 0.0554 Prediction Error = 4.5 Percent = 0.0554 Prediction Error = 4.4531 Percent = 0.0641 Prediction Error = 4.4531 Percent = 0.0641 Prediction Error = 4.4063 Percent = 0.0741 Prediction Error = 4.4063 Percent = 0.0741 Prediction Error = 4.3594 Percent = 0.0854 Prediction Error = 4.3594 Percent = 0.0854 Prediction Error = 4.3125 Percent = 0.0982 Prediction Error = 4.3125 Percent = 0.0982 Prediction Error = 4.2656 Percent = 0.1127 Prediction Error = 4.2656 Percent = 0.1127 Prediction Error = 4.2188 Percent = 0.1291 Prediction Error = 4.2188 Percent = 0.1291 Prediction Error = 4.1719 Percent = 0.1475 Prediction Error = 4.1719 Percent = 0.1475 Prediction Error = 4.125 Percent = 0.1683 Prediction Error = 4.125 Percent = 0.1683 Prediction Error = 4.0781 Percent = 0.1916 Prediction Error = 4.0781 Percent = 0.1916 Prediction Error = 4.0313 Percent = 0.2178 Prediction Error = 4.0313 Percent = 0.2178 Prediction Error = 3.9844 Percent = 0.2472 Prediction Error = 3.9844 Percent = 0.2472 Prediction Error = 3.9375 Percent = 0.28 Prediction Error = 3.9375 Percent = 0.28 Prediction Error = 3.8906 Percent = 0.3167 Prediction Error = 3.8906 Percent = 0.3167 Prediction Error = 3.8438 Percent = 0.3576 Prediction Error = 3.8438 Percent = 0.3576 Prediction Error = 3.7969 Percent = 0.4032 Prediction Error = 3.7969 Percent = 0.4032 Prediction Error = 3.75 Percent = 0.4539 Prediction Error = 3.75 Percent = 0.4539 Prediction Error = 3.7031 Percent = 0.5102 Prediction Error = 3.7031 Percent = 0.5102 Prediction Error = 3.6563 Percent = 0.5726 Prediction Error = 3.6563 Percent = 0.5726 Prediction Error = 3.6094 Percent = 0.6418 Prediction Error = 3.6094 Percent = 0.6418 Prediction Error = 3.5625 Percent = 0.7182 Prediction Error = 3.5625 Percent = 0.7182 Prediction Error = 3.5156 Percent = 0.8025 Prediction Error = 3.5156 Percent = 0.8025 Prediction Error = 3.4688 Percent = 0.8954 Prediction Error = 3.4688 Percent = 0.8954 Prediction Error = 3.4219 Percent = 0.9975 Prediction Error = 3.4219 Percent = 0.9975 Prediction Error = 3.375 Percent = 1.1095 Prediction Error = 3.375 Percent = 1.1095 Prediction Error = 3.3281 Percent = 1.232 Prediction Error = 3.3281 Percent = 1.232 Prediction Error = 3.2813 Percent = 1.3659 Prediction Error = 3.2813 Percent = 1.3659 Prediction Error = 3.2344 Percent = 1.5117 Prediction Error = 3.2344 Percent = 1.5117 Prediction Error = 3.1875 Percent = 1.6701 Prediction Error = 3.1875 Percent = 1.6701 Prediction Error = 3.1406 Percent = 1.8418 Prediction Error = 3.1406 Percent = 1.8418 Prediction Error = 3.0938 Percent = 2.0273 Prediction Error = 3.0938 Percent = 2.0273 Prediction Error = 3.0469 Percent = 2.2272 Prediction Error = 3.0469 Percent = 2.2272 Prediction Error = 3 Percent = 2.442 Prediction Error = 3 Percent = 2.442 Prediction Error = 2.9531 Percent = 2.6721 Prediction Error = 2.9531 Percent = 2.6721 Prediction Error = 2.9063 Percent = 2.9177 Prediction Error = 2.9063 Percent = 2.9177 Prediction Error = 2.8594 Percent = 3.179 Prediction Error = 2.8594 Percent = 3.179 Prediction Error = 2.8125 Percent = 3.456 Prediction Error = 2.8125 Percent = 3.456 Prediction Error = 2.7656 Percent = 3.7486 Prediction Error = 2.7656 Percent = 3.7486 Prediction Error = 2.7188 Percent = 4.0566 Prediction Error = 2.7188 Percent = 4.0566 Prediction Error = 2.6719 Percent = 4.3795 Prediction Error = 2.6719 Percent = 4.3795 Prediction Error = 2.625 Percent = 4.7167 Prediction Error = 2.625 Percent = 4.7167 Prediction Error = 2.5781 Percent = 5.0674 Prediction Error = 2.5781 Percent = 5.0674 Prediction Error = 2.5313 Percent = 5.4306 Prediction Error = 2.5313 Percent = 5.4306 Prediction Error = 2.1094 Percent = 9.0044 Prediction Error = 2.1094 Percent = 9.0044 Prediction Error = 2.0156 Percent = 9.7825 Prediction Error = 2.0156 Percent = 9.7825 Prediction Error = 1.9688 Percent = 10.155 Prediction Error = 1.9688 Percent = 10.155 Prediction Error = 1.9219 Percent = 10.513 Prediction Error = 1.9219 Percent = 10.513 Prediction Error = 1.875 Percent = 10.855 Prediction Error = 1.875 Percent = 10.855 Prediction Error = 1.8281 Percent = 11.178 Prediction Error = 1.8281 Percent = 11.178 Prediction Error = 1.7813 Percent = 11.48 Prediction Error = 1.7813 Percent = 11.48 Prediction Error = 1.7344 Percent = 11.759 Prediction Error = 1.7344 Percent = 11.759 Prediction Error = 1.6875 Percent = 12.013 Prediction Error = 1.6875 Percent = 12.013 Prediction Error = 1.6406 Percent = 12.241 Prediction Error = 1.6406 Percent = 12.241 Prediction Error = 1.5938 Percent = 12.441 Prediction Error = 1.5938 Percent = 12.441 Prediction Error = 1.5469 Percent = 12.613 Prediction Error = 1.5469 Percent = 12.613 Prediction Error = 1.5 Percent = 12.756 Prediction Error = 1.5 Percent = 12.756 Prediction Error = 1.4531 Percent = 12.87 Prediction Error = 1.4531 Percent = 12.87 Prediction Error = 1.4063 Percent = 12.953 Prediction Error = 1.4063 Percent = 12.953 Prediction Error = 1.3594 Percent = 13.007 Prediction Error = 1.3594 Percent = 13.007 Prediction Error = 1.3125 Percent = 13.033 Prediction Error = 1.3125 Percent = 13.033 Prediction Error = 1.2656 Percent = 13.03 Prediction Error = 1.2656 Percent = 13.03 Prediction Error = 1.2188 Percent = 12.999 Prediction Error = 1.2188 Percent = 12.999 Prediction Error = 1.1719 Percent = 12.944 Prediction Error = 1.1719 Percent = 12.944 Prediction Error = 1.125 Percent = 12.864 Prediction Error = 1.125 Percent = 12.864 Prediction Error = 1.0781 Percent = 12.761 Prediction Error = 1.0781 Percent = 12.761 Prediction Error = 1.0313 Percent = 12.638 Prediction Error = 1.0313 Percent = 12.638 Prediction Error = 0.9844 Percent = 12.497 Prediction Error = 0.9844 Percent = 12.497 Prediction Error = 0.9375 Percent = 12.341 Prediction Error = 0.9375 Percent = 12.341 Prediction Error = 0.8906 Percent = 12.17 Prediction Error = 0.8906 Percent = 12.17 Prediction Error = 0.8438 Percent = 11.989 Prediction Error = 0.8438 Percent = 11.989 Prediction Error = 0.7969 Percent = 11.799 Prediction Error = 0.7969 Percent = 11.799 Prediction Error = 0.6563 Percent = 11.204 Prediction Error = 0.6563 Percent = 11.204 Prediction Error = 0.5625 Percent = 10.811 Prediction Error = 0.5625 Percent = 10.811 Prediction Error = 0.5156 Percent = 10.623 Prediction Error = 0.5156 Percent = 10.623 Prediction Error = 0.4688 Percent = 10.442 Prediction Error = 0.4688 Percent = 10.442 Prediction Error = 0.4219 Percent = 10.272 Prediction Error = 0.4219 Percent = 10.272 Prediction Error = 0.375 Percent = 10.113 Prediction Error = 0.375 Percent = 10.113 Prediction Error = 0.3281 Percent = 9.9681 Prediction Error = 0.3281 Percent = 9.9681 Prediction Error = 0.2813 Percent = 9.8378 Prediction Error = 0.2813 Percent = 9.8378 Prediction Error = 0.2344 Percent = 9.7235 Prediction Error = 0.2344 Percent = 9.7235 Prediction Error = 0.1875 Percent = 9.6263 Prediction Error = 0.1875 Percent = 9.6263 Prediction Error = 0.1406 Percent = 9.5471 Prediction Error = 0.1406 Percent = 9.5471 Prediction Error = 0.0938 Percent = 9.4865 Prediction Error = 0.0938 Percent = 9.4865 Prediction Error = 0.0469 Percent = 9.445 Prediction Error = 0.0469 Percent = 9.445 Prediction Error = 1.8E-8 Percent = 9.4228 Prediction Error = 1.8E-8 Percent = 9.4228 Prediction Error = -0.047 Percent = 9.4201 Prediction Error = -0.047 Percent = 9.4201 Prediction Error = -0.094 Percent = 9.4366 Prediction Error = -0.094 Percent = 9.4366 Prediction Error = -0.141 Percent = 9.4721 Prediction Error = -0.141 Percent = 9.4721 Prediction Error = -0.187 Percent = 9.5261 Prediction Error = -0.187 Percent = 9.5261 Prediction Error = -0.234 Percent = 9.5979 Prediction Error = -0.234 Percent = 9.5979 Prediction Error = -0.281 Percent = 9.6868 Prediction Error = -0.281 Percent = 9.6868 Prediction Error = -0.328 Percent = 9.7916 Prediction Error = -0.328 Percent = 9.7916 Prediction Error = -0.375 Percent = 9.9113 Prediction Error = -0.375 Percent = 9.9113 Prediction Error = -0.422 Percent = 10.045 Prediction Error = -0.422 Percent = 10.045 Prediction Error = -0.469 Percent = 10.19 Prediction Error = -0.469 Percent = 10.19 Prediction Error = -0.516 Percent = 10.346 Prediction Error = -0.516 Percent = 10.346 Prediction Error = -0.562 Percent = 10.51 Prediction Error = -0.562 Percent = 10.51 Prediction Error = -0.609 Percent = 10.681 Prediction Error = -0.609 Percent = 10.681 Prediction Error = -0.75 Percent = 11.216 Prediction Error = -0.75 Percent = 11.216 Prediction Error = -0.844 Percent = 11.569 Prediction Error = -0.844 Percent = 11.569 Prediction Error = -0.891 Percent = 11.738 Prediction Error = -0.891 Percent = 11.738 Prediction Error = -0.937 Percent = 11.898 Prediction Error = -0.937 Percent = 11.898 Prediction Error = -0.984 Percent = 12.048 Prediction Error = -0.984 Percent = 12.048 Prediction Error = -1.031 Percent = 12.185 Prediction Error = -1.031 Percent = 12.185 Prediction Error = -1.078 Percent = 12.308 Prediction Error = -1.078 Percent = 12.308 Prediction Error = -1.125 Percent = 12.413 Prediction Error = -1.125 Percent = 12.413 Prediction Error = -1.172 Percent = 12.5 Prediction Error = -1.172 Percent = 12.5 Prediction Error = -1.219 Percent = 12.567 Prediction Error = -1.219 Percent = 12.567 Prediction Error = -1.266 Percent = 12.612 Prediction Error = -1.266 Percent = 12.612 Prediction Error = -1.312 Percent = 12.633 Prediction Error = -1.312 Percent = 12.633 Prediction Error = -1.359 Percent = 12.63 Prediction Error = -1.359 Percent = 12.63 Prediction Error = -1.406 Percent = 12.602 Prediction Error = -1.406 Percent = 12.602 Prediction Error = -1.453 Percent = 12.547 Prediction Error = -1.453 Percent = 12.547 Prediction Error = -1.5 Percent = 12.466 Prediction Error = -1.5 Percent = 12.466 Prediction Error = -1.547 Percent = 12.358 Prediction Error = -1.547 Percent = 12.358 Prediction Error = -1.594 Percent = 12.223 Prediction Error = -1.594 Percent = 12.223 Prediction Error = -1.641 Percent = 12.063 Prediction Error = -1.641 Percent = 12.063 Prediction Error = -1.687 Percent = 11.876 Prediction Error = -1.687 Percent = 11.876 Prediction Error = -1.734 Percent = 11.665 Prediction Error = -1.734 Percent = 11.665 Prediction Error = -1.781 Percent = 11.43 Prediction Error = -1.781 Percent = 11.43 Prediction Error = -1.828 Percent = 11.173 Prediction Error = -1.828 Percent = 11.173 Prediction Error = -1.875 Percent = 10.895 Prediction Error = -1.875 Percent = 10.895 Prediction Error = -1.922 Percent = 10.598 Prediction Error = -1.922 Percent = 10.598 Prediction Error = -1.969 Percent = 10.283 Prediction Error = -1.969 Percent = 10.283 Prediction Error = -2.016 Percent = 9.9534 Prediction Error = -2.016 Percent = 9.9534 Prediction Error = -2.437 Percent = 6.6466 Prediction Error = -2.437 Percent = 6.6466 Prediction Error = -2.531 Percent = 5.9187 Prediction Error = -2.531 Percent = 5.9187 Prediction Error = -2.625 Percent = 5.2229 Prediction Error = -2.625 Percent = 5.2229 Prediction Error = -2.672 Percent = 4.8901 Prediction Error = -2.672 Percent = 4.8901 Prediction Error = -2.719 Percent = 4.5687 Prediction Error = -2.719 Percent = 4.5687 Prediction Error = -2.766 Percent = 4.2594 Prediction Error = -2.766 Percent = 4.2594 Prediction Error = -2.812 Percent = 3.9628 Prediction Error = -2.812 Percent = 3.9628 Prediction Error = -2.859 Percent = 3.6794 Prediction Error = -2.859 Percent = 3.6794 Prediction Error = -2.906 Percent = 3.4095 Prediction Error = -2.906 Percent = 3.4095 Prediction Error = -2.953 Percent = 3.1532 Prediction Error = -2.953 Percent = 3.1532 Prediction Error = -3 Percent = 2.9107 Prediction Error = -3 Percent = 2.9107 Prediction Error = -3.047 Percent = 2.6818 Prediction Error = -3.047 Percent = 2.6818 Prediction Error = -3.094 Percent = 2.4663 Prediction Error = -3.094 Percent = 2.4663 Prediction Error = -3.141 Percent = 2.2642 Prediction Error = -3.141 Percent = 2.2642 Prediction Error = -3.187 Percent = 2.0749 Prediction Error = -3.187 Percent = 2.0749 Prediction Error = -3.234 Percent = 1.8981 Prediction Error = -3.234 Percent = 1.8981 Prediction Error = -3.281 Percent = 1.7335 Prediction Error = -3.281 Percent = 1.7335 Prediction Error = -3.328 Percent = 1.5804 Prediction Error = -3.328 Percent = 1.5804 Prediction Error = -3.375 Percent = 1.4384 Prediction Error = -3.375 Percent = 1.4384 Prediction Error = -3.422 Percent = 1.307 Prediction Error = -3.422 Percent = 1.307 Prediction Error = -3.469 Percent = 1.1856 Prediction Error = -3.469 Percent = 1.1856 Prediction Error = -3.516 Percent = 1.0737 Prediction Error = -3.516 Percent = 1.0737 Prediction Error = -3.562 Percent = 0.9707 Prediction Error = -3.562 Percent = 0.9707 Prediction Error = -3.609 Percent = 0.8761 Prediction Error = -3.609 Percent = 0.8761 Prediction Error = -3.656 Percent = 0.7894 Prediction Error = -3.656 Percent = 0.7894 Prediction Error = -3.703 Percent = 0.71 Prediction Error = -3.703 Percent = 0.71 Prediction Error = -3.75 Percent = 0.6374 Prediction Error = -3.75 Percent = 0.6374 Prediction Error = -3.797 Percent = 0.5712 Prediction Error = -3.797 Percent = 0.5712 Prediction Error = -3.844 Percent = 0.5109 Prediction Error = -3.844 Percent = 0.5109 Prediction Error = -3.891 Percent = 0.4562 Prediction Error = -3.891 Percent = 0.4562 Prediction Error = -3.937 Percent = 0.4065 Prediction Error = -3.937 Percent = 0.4065 Prediction Error = -3.984 Percent = 0.3614 Prediction Error = -3.984 Percent = 0.3614 Prediction Error = -4.031 Percent = 0.3207 Prediction Error = -4.031 Percent = 0.3207 Prediction Error = -4.078 Percent = 0.284 Prediction Error = -4.078 Percent = 0.284 Prediction Error = -4.125 Percent = 0.2509 Prediction Error = -4.125 Percent = 0.2509 Prediction Error = -4.172 Percent = 0.2212 Prediction Error = -4.172 Percent = 0.2212 Prediction Error = -4.219 Percent = 0.1945 Prediction Error = -4.219 Percent = 0.1945 Prediction Error = -4.266 Percent = 0.1707 Prediction Error = -4.266 Percent = 0.1707 Prediction Error = -4.312 Percent = 0.1494 Prediction Error = -4.312 Percent = 0.1494 Prediction Error = -4.359 Percent = 0.1304 Prediction Error = -4.359 Percent = 0.1304 Prediction Error = -4.406 Percent = 0.1136 Prediction Error = -4.406 Percent = 0.1136 Prediction Error = -4.453 Percent = 0.0986 Prediction Error = -4.453 Percent = 0.0986 Prediction Error = -4.5 Percent = 0.0854 Prediction Error = -4.5 Percent = 0.0854 Prediction Error = -4.547 Percent = 0.0738 Prediction Error = -4.547 Percent = 0.0738 Prediction Error = -4.594 Percent = 0.0636 Prediction Error = -4.594 Percent = 0.0636 Prediction Error = -4.641 Percent = 0.0546 Prediction Error = -4.641 Percent = 0.0546 Prediction Error = -4.687 Percent = 0.0467 Prediction Error = -4.687 Percent = 0.0467 Prediction Error = -4.734 Percent = 0.0399 Prediction Error = -4.734 Percent = 0.0399 Prediction Error = -4.781 Percent = 0.034 Prediction Error = -4.781 Percent = 0.034 Prediction Error = -4.828 Percent = 0.0288 Prediction Error = -4.828 Percent = 0.0288 Prediction Error = -4.875 Percent = 0.0244 Prediction Error = -4.875 Percent = 0.0244 Prediction Error = -4.922 Percent = 0.0205 Prediction Error = 4.3773 Percent = 0.181 Prediction Error = 4.3328 Percent = 0.1982 Prediction Error = 4.3328 Percent = 0.1982 Prediction Error = 4.2883 Percent = 0.2167 Prediction Error = 4.2883 Percent = 0.2167 Prediction Error = 4.2438 Percent = 0.2368 Prediction Error = 4.2438 Percent = 0.2368 Prediction Error = 4.1993 Percent = 0.2585 Prediction Error = 4.1993 Percent = 0.2585 Prediction Error = 4.1548 Percent = 0.282 Prediction Error = 4.1548 Percent = 0.282 Prediction Error = 4.1103 Percent = 0.3073 Prediction Error = 4.1103 Percent = 0.3073 Prediction Error = 4.0658 Percent = 0.3345 Prediction Error = 4.0658 Percent = 0.3345 Prediction Error = 4.0213 Percent = 0.3638 Prediction Error = 4.0213 Percent = 0.3638 Prediction Error = 3.9768 Percent = 0.3953 Prediction Error = 3.9768 Percent = 0.3953 Prediction Error = 3.9323 Percent = 0.4292 Prediction Error = 3.9323 Percent = 0.4292 Prediction Error = 3.8877 Percent = 0.4655 Prediction Error = 3.8877 Percent = 0.4655 Prediction Error = 3.8432 Percent = 0.5045 Prediction Error = 3.8432 Percent = 0.5045 Prediction Error = 3.7987 Percent = 0.5462 Prediction Error = 3.7987 Percent = 0.5462 Prediction Error = 3.7542 Percent = 0.5908 Prediction Error = 3.7542 Percent = 0.5908 Prediction Error = 3.7097 Percent = 0.6385 Prediction Error = 3.7097 Percent = 0.6385 Prediction Error = 3.6652 Percent = 0.6893 Prediction Error = 3.6652 Percent = 0.6893 Prediction Error = 3.6207 Percent = 0.7436 Prediction Error = 3.6207 Percent = 0.7436 Prediction Error = 3.5762 Percent = 0.8014 Prediction Error = 3.5762 Percent = 0.8014 Prediction Error = 3.5317 Percent = 0.8629 Prediction Error = 3.5317 Percent = 0.8629 Prediction Error = 3.4872 Percent = 0.9282 Prediction Error = 3.4872 Percent = 0.9282 Prediction Error = 3.4427 Percent = 0.9976 Prediction Error = 3.4427 Percent = 0.9976 Prediction Error = 3.3982 Percent = 1.0712 Prediction Error = 3.3982 Percent = 1.0712 Prediction Error = 3.3536 Percent = 1.1491 Prediction Error = 3.3536 Percent = 1.1491 Prediction Error = 3.3091 Percent = 1.2316 Prediction Error = 3.3091 Percent = 1.2316 Prediction Error = 3.2646 Percent = 1.3188 Prediction Error = 3.2646 Percent = 1.3188 Prediction Error = 3.2201 Percent = 1.4109 Prediction Error = 3.2201 Percent = 1.4109 Prediction Error = 3.1756 Percent = 1.5081 Prediction Error = 3.1756 Percent = 1.5081 Prediction Error = 3.1311 Percent = 1.6104 Prediction Error = 3.1311 Percent = 1.6104 Prediction Error = 3.0866 Percent = 1.7181 Prediction Error = 3.0866 Percent = 1.7181 Prediction Error = 3.0421 Percent = 1.8313 Prediction Error = 3.0421 Percent = 1.8313 Prediction Error = 2.9976 Percent = 1.9502 Prediction Error = 2.9976 Percent = 1.9502 Prediction Error = 2.9531 Percent = 2.0749 Prediction Error = 2.9531 Percent = 2.0749 Prediction Error = 2.9086 Percent = 2.2056 Prediction Error = 2.9086 Percent = 2.2056 Prediction Error = 2.8641 Percent = 2.3423 Prediction Error = 2.8641 Percent = 2.3423 Prediction Error = 2.8196 Percent = 2.4852 Prediction Error = 2.8196 Percent = 2.4852 Prediction Error = 2.775 Percent = 2.6344 Prediction Error = 2.775 Percent = 2.6344 Prediction Error = 2.7305 Percent = 2.7901 Prediction Error = 2.7305 Percent = 2.7901 Prediction Error = 2.686 Percent = 2.9522 Prediction Error = 2.686 Percent = 2.9522 Prediction Error = 2.6415 Percent = 3.1208 Prediction Error = 2.6415 Percent = 3.1208 Prediction Error = 2.597 Percent = 3.2961 Prediction Error = 2.597 Percent = 3.2961 Prediction Error = 2.5525 Percent = 3.478 Prediction Error = 2.5525 Percent = 3.478 Prediction Error = 2.508 Percent = 3.6665 Prediction Error = 2.508 Percent = 3.6665 Prediction Error = 2.4635 Percent = 3.8618 Prediction Error = 2.4635 Percent = 3.8618 Prediction Error = 2.419 Percent = 4.0637 Prediction Error = 2.419 Percent = 4.0637 Prediction Error = 2.3745 Percent = 4.2722 Prediction Error = 2.3745 Percent = 4.2722 Prediction Error = 2.2855 Percent = 4.709 Prediction Error = 2.2855 Percent = 4.709 Prediction Error = 2.1964 Percent = 5.1714 Prediction Error = 2.1964 Percent = 5.1714 Prediction Error = 2.1074 Percent = 5.6583 Prediction Error = 2.1074 Percent = 5.6583 Prediction Error = 2.0184 Percent = 6.1685 Prediction Error = 2.0184 Percent = 6.1685 Prediction Error = 1.9294 Percent = 6.6999 Prediction Error = 1.9294 Percent = 6.6999 Prediction Error = 1.2618 Percent = 11.077 Prediction Error = 1.2618 Percent = 11.077 Prediction Error = 1.1282 Percent = 11.949 Prediction Error = 1.1282 Percent = 11.949 Prediction Error = 1.0392 Percent = 12.51 Prediction Error = 1.0392 Percent = 12.51 Prediction Error = 0.9502 Percent = 13.05 Prediction Error = 0.9502 Percent = 13.05 Prediction Error = 0.8612 Percent = 13.563 Prediction Error = 0.8612 Percent = 13.563 Prediction Error = 0.8167 Percent = 13.808 Prediction Error = 0.8167 Percent = 13.808 Prediction Error = 0.7722 Percent = 14.044 Prediction Error = 0.7722 Percent = 14.044 Prediction Error = 0.7277 Percent = 14.272 Prediction Error = 0.7277 Percent = 14.272 Prediction Error = 0.6832 Percent = 14.49 Prediction Error = 0.6832 Percent = 14.49 Prediction Error = 0.6387 Percent = 14.698 Prediction Error = 0.6387 Percent = 14.698 Prediction Error = 0.5941 Percent = 14.895 Prediction Error = 0.5941 Percent = 14.895 Prediction Error = 0.5496 Percent = 15.08 Prediction Error = 0.5496 Percent = 15.08 Prediction Error = 0.5051 Percent = 15.254 Prediction Error = 0.5051 Percent = 15.254 Prediction Error = 0.4606 Percent = 15.416 Prediction Error = 0.4606 Percent = 15.416 Prediction Error = 0.4161 Percent = 15.566 Prediction Error = 0.4161 Percent = 15.566 Prediction Error = 0.3716 Percent = 15.702 Prediction Error = 0.3716 Percent = 15.702 Prediction Error = 0.3271 Percent = 15.825 Prediction Error = 0.3271 Percent = 15.825 Prediction Error = 0.2826 Percent = 15.934 Prediction Error = 0.2826 Percent = 15.934 Prediction Error = 0.2381 Percent = 16.03 Prediction Error = 0.2381 Percent = 16.03 Prediction Error = 0.1936 Percent = 16.111 Prediction Error = 0.1936 Percent = 16.111 Prediction Error = 0.1491 Percent = 16.178 Prediction Error = 0.1491 Percent = 16.178 Prediction Error = 0.1046 Percent = 16.23 Prediction Error = 0.1046 Percent = 16.23 Prediction Error = 0.0601 Percent = 16.267 Prediction Error = 0.0601 Percent = 16.267 Prediction Error = 0.0155 Percent = 16.29 Prediction Error = 0.0155 Percent = 16.29 Prediction Error = -0.029 Percent = 16.297 Prediction Error = -0.029 Percent = 16.297 Prediction Error = -0.073 Percent = 16.29 Prediction Error = -0.073 Percent = 16.29 Prediction Error = -0.118 Percent = 16.267 Prediction Error = -0.118 Percent = 16.267 Prediction Error = -0.162 Percent = 16.23 Prediction Error = -0.162 Percent = 16.23 Prediction Error = -0.207 Percent = 16.178 Prediction Error = -0.207 Percent = 16.178 Prediction Error = -0.252 Percent = 16.111 Prediction Error = -0.252 Percent = 16.111 Prediction Error = -0.296 Percent = 16.03 Prediction Error = -0.296 Percent = 16.03 Prediction Error = -0.341 Percent = 15.934 Prediction Error = -0.341 Percent = 15.934 Prediction Error = -0.385 Percent = 15.825 Prediction Error = -0.385 Percent = 15.825 Prediction Error = -0.43 Percent = 15.702 Prediction Error = -0.43 Percent = 15.702 Prediction Error = -0.474 Percent = 15.566 Prediction Error = -0.474 Percent = 15.566 Prediction Error = -0.519 Percent = 15.416 Prediction Error = -0.519 Percent = 15.416 Prediction Error = -0.563 Percent = 15.254 Prediction Error = -0.563 Percent = 15.254 Prediction Error = -0.608 Percent = 15.08 Prediction Error = -0.608 Percent = 15.08 Prediction Error = -0.652 Percent = 14.895 Prediction Error = -0.652 Percent = 14.895 Prediction Error = -0.697 Percent = 14.698 Prediction Error = -0.697 Percent = 14.698 Prediction Error = -0.741 Percent = 14.49 Prediction Error = -0.741 Percent = 14.49 Prediction Error = -0.786 Percent = 14.272 Prediction Error = -0.786 Percent = 14.272 Prediction Error = -0.83 Percent = 14.044 Prediction Error = -0.83 Percent = 14.044 Prediction Error = -0.875 Percent = 13.808 Prediction Error = -0.875 Percent = 13.808 Prediction Error = -0.919 Percent = 13.563 Prediction Error = -0.919 Percent = 13.563 Prediction Error = -1.008 Percent = 13.05 Prediction Error = -1.008 Percent = 13.05 Prediction Error = -1.097 Percent = 12.51 Prediction Error = -1.097 Percent = 12.51 Prediction Error = -1.631 Percent = 8.9885 Prediction Error = -1.631 Percent = 8.9885 Prediction Error = -1.809 Percent = 7.8175 Prediction Error = -1.809 Percent = 7.8175 Prediction Error = -1.943 Percent = 6.973 Prediction Error = -1.943 Percent = 6.973 Prediction Error = -2.032 Percent = 6.4317 Prediction Error = -2.032 Percent = 6.4317 Prediction Error = -2.121 Percent = 5.9106 Prediction Error = -2.121 Percent = 5.9106 Prediction Error = -2.21 Percent = 5.4119 Prediction Error = -2.21 Percent = 5.4119 Prediction Error = -2.299 Percent = 4.9371 Prediction Error = -2.299 Percent = 4.9371 Prediction Error = -2.388 Percent = 4.4874 Prediction Error = -2.388 Percent = 4.4874 Prediction Error = -2.432 Percent = 4.2722 Prediction Error = -2.432 Percent = 4.2722 Prediction Error = -2.477 Percent = 4.0637 Prediction Error = -2.477 Percent = 4.0637 Prediction Error = -2.521 Percent = 3.8618 Prediction Error = -2.521 Percent = 3.8618 Prediction Error = -2.566 Percent = 3.6665 Prediction Error = -2.566 Percent = 3.6665 Prediction Error = -2.61 Percent = 3.478 Prediction Error = -2.61 Percent = 3.478 Prediction Error = -2.655 Percent = 3.2961 Prediction Error = -2.655 Percent = 3.2961 Prediction Error = -2.699 Percent = 3.1208 Prediction Error = -2.699 Percent = 3.1208 Prediction Error = -2.744 Percent = 2.9522 Prediction Error = -2.744 Percent = 2.9522 Prediction Error = -2.788 Percent = 2.7901 Prediction Error = -2.788 Percent = 2.7901 Prediction Error = -2.833 Percent = 2.6344 Prediction Error = -2.833 Percent = 2.6344 Prediction Error = -2.877 Percent = 2.4852 Prediction Error = -2.877 Percent = 2.4852 Prediction Error = -2.922 Percent = 2.3423 Prediction Error = -2.922 Percent = 2.3423 Prediction Error = -2.966 Percent = 2.2056 Prediction Error = -2.966 Percent = 2.2056 Prediction Error = -3.011 Percent = 2.0749 Prediction Error = -3.011 Percent = 2.0749 Prediction Error = -3.056 Percent = 1.9502 Prediction Error = -3.056 Percent = 1.9502 Prediction Error = -3.1 Percent = 1.8313 Prediction Error = -3.1 Percent = 1.8313 Prediction Error = -3.145 Percent = 1.7181 Prediction Error = -3.145 Percent = 1.7181 Prediction Error = -3.189 Percent = 1.6104 Prediction Error = -3.189 Percent = 1.6104 Prediction Error = -3.234 Percent = 1.5081 Prediction Error = -3.234 Percent = 1.5081 Prediction Error = -3.278 Percent = 1.4109 Prediction Error = -3.278 Percent = 1.4109 Prediction Error = -3.323 Percent = 1.3188 Prediction Error = -3.323 Percent = 1.3188 Prediction Error = -3.367 Percent = 1.2316 Prediction Error = -3.367 Percent = 1.2316 Prediction Error = -3.412 Percent = 1.1491 Prediction Error = -3.412 Percent = 1.1491 Prediction Error = -3.456 Percent = 1.0712 Prediction Error = -3.456 Percent = 1.0712 Prediction Error = -3.501 Percent = 0.9976 Prediction Error = -3.501 Percent = 0.9976 Prediction Error = -3.545 Percent = 0.9282 Prediction Error = -3.545 Percent = 0.9282 Prediction Error = -3.59 Percent = 0.8629 Prediction Error = -3.59 Percent = 0.8629 Prediction Error = -3.634 Percent = 0.8014 Prediction Error = -3.634 Percent = 0.8014 Prediction Error = -3.679 Percent = 0.7436 Prediction Error = -3.679 Percent = 0.7436 Prediction Error = -3.723 Percent = 0.6893 Prediction Error = -3.723 Percent = 0.6893 Prediction Error = -3.768 Percent = 0.6385 Prediction Error = -3.768 Percent = 0.6385 Prediction Error = -3.812 Percent = 0.5908 Prediction Error = -3.812 Percent = 0.5908 Prediction Error = -3.857 Percent = 0.5462 Prediction Error = -3.857 Percent = 0.5462 Prediction Error = -3.901 Percent = 0.5045 Prediction Error = -3.901 Percent = 0.5045 Prediction Error = -3.946 Percent = 0.4655 Prediction Error = -3.946 Percent = 0.4655 Prediction Error = -3.99 Percent = 0.4292 Prediction Error = -3.99 Percent = 0.4292 Prediction Error = -4.035 Percent = 0.3953 Prediction Error = -4.035 Percent = 0.3953 Prediction Error = -4.079 Percent = 0.3638 Prediction Error = -4.079 Percent = 0.3638 Prediction Error = -4.124 Percent = 0.3345 Prediction Error = -4.124 Percent = 0.3345 Prediction Error = -4.168 Percent = 0.3073 Prediction Error = -4.168 Percent = 0.3073 Prediction Error = -4.213 Percent = 0.282 Prediction Error = -4.213 Percent = 0.282 Prediction Error = -4.257 Percent = 0.2585 Prediction Error = -4.257 Percent = 0.2585 Prediction Error = -4.302 Percent = 0.2368 Prediction Error = -4.302 Percent = 0.2368 Prediction Error = -4.346 Percent = 0.2167 Prediction Error = -4.346 Percent = 0.2167 Prediction Error = -4.391 Percent = 0.1982 Prediction Error = -4.391 Percent = 0.1982 Prediction Error = -4.435 Percent = 0.181 Prediction Error = 3 Percent = 0.8929 Prediction Error = 3 Percent = 0.8929 Prediction Error = 2.4 Percent = 1.3393 Prediction Error = 2.4 Percent = 1.3393 Prediction Error = 1.8 Percent = 18.304 Prediction Error = 1.8 Percent = 18.304 Prediction Error = 1.2 Percent = 17.857 Prediction Error = 1.2 Percent = 17.857 Prediction Error = 0.6 Percent = 7.5893 Prediction Error = 0.6 Percent = 7.5893 Prediction Error = 0 Percent = 6.6964 Prediction Error = 0 Percent = 6.6964 Prediction Error = -0.6 Percent = 9.8214 Prediction Error = -0.6 Percent = 9.8214 Prediction Error = -1.2 Percent = 16.071 Prediction Error = -1.2 Percent = 16.071 Prediction Error = -1.8 Percent = 16.964 Prediction Error = -1.8 Percent = 16.964 Prediction Error = -2.4 Percent = 3.125 Prediction Error = -2.4 Percent = 3.125 Prediction Error = -3 Percent = 1.3393 Prediction Error = -3 Percent = 1.3393 Quantile = 2.7718 Residual = 3 Quantile = 2.4448 Residual = 3 Quantile = 2.2667 Residual = 2.5 Quantile = 2.1403 Residual = 2.2857 Quantile = 2.041 Residual = 2.2857 Quantile = 1.9585 Residual = 2 Quantile = 1.8876 Residual = 2 Quantile = 1.825 Residual = 2 Quantile = 1.7688 Residual = 2 Quantile = 1.7178 Residual = 2 Quantile = 1.6708 Residual = 2 Quantile = 1.6273 Residual = 2 Quantile = 1.5866 Residual = 2 Quantile = 1.5484 Residual = 1.8889 Quantile = 1.5124 Residual = 1.8 Quantile = 1.4782 Residual = 1.8 Quantile = 1.4457 Residual = 1.7857 Quantile = 1.4146 Residual = 1.7778 Quantile = 1.3848 Residual = 1.75 Quantile = 1.3562 Residual = 1.75 Quantile = 1.3287 Residual = 1.7143 Quantile = 1.3022 Residual = 1.7059 Quantile = 1.2765 Residual = 1.7 Quantile = 1.2516 Residual = 1.6923 Quantile = 1.2275 Residual = 1.6842 Quantile = 1.2041 Residual = 1.6667 Quantile = 1.1814 Residual = 1.6667 Quantile = 1.1592 Residual = 1.6667 Quantile = 1.1376 Residual = 1.6429 Quantile = 1.1165 Residual = 1.6364 Quantile = 1.0959 Residual = 1.6364 Quantile = 1.0757 Residual = 1.6154 Quantile = 1.056 Residual = 1.6 Quantile = 1.0367 Residual = 1.6 Quantile = 1.0177 Residual = 1.6 Quantile = 0.9991 Residual = 1.6 Quantile = 0.9809 Residual = 1.5789 Quantile = 0.963 Residual = 1.5714 Quantile = 0.9453 Residual = 1.5714 Quantile = 0.928 Residual = 1.5625 Quantile = 0.911 Residual = 1.5625 Quantile = 0.8942 Residual = 1.5556 Quantile = 0.8776 Residual = 1.5385 Quantile = 0.8613 Residual = 1.5 Quantile = 0.8452 Residual = 1.5 Quantile = 0.8293 Residual = 1.5 Quantile = 0.8137 Residual = 1.5 Quantile = 0.7982 Residual = 1.5 Quantile = 0.7829 Residual = 1.4706 Quantile = 0.7678 Residual = 1.4667 Quantile = 0.7529 Residual = 1.4545 Quantile = 0.7381 Residual = 1.4444 Quantile = 0.7235 Residual = 1.4444 Quantile = 0.7091 Residual = 1.4375 Quantile = 0.6948 Residual = 1.4286 Quantile = 0.6806 Residual = 1.3889 Quantile = 0.6666 Residual = 1.3846 Quantile = 0.6527 Residual = 1.375 Quantile = 0.639 Residual = 1.375 Quantile = 0.6253 Residual = 1.375 Quantile = 0.6118 Residual = 1.375 Quantile = 0.5983 Residual = 1.3684 Quantile = 0.585 Residual = 1.3333 Quantile = 0.5718 Residual = 1.3077 Quantile = 0.5587 Residual = 1.3 Quantile = 0.5457 Residual = 1.2941 Quantile = 0.5328 Residual = 1.2857 Quantile = 0.5199 Residual = 1.2727 Quantile = 0.5072 Residual = 1.25 Quantile = 0.4945 Residual = 1.25 Quantile = 0.4819 Residual = 1.2222 Quantile = 0.4694 Residual = 1.2222 Quantile = 0.4569 Residual = 1.2222 Quantile = 0.4446 Residual = 1.2143 Quantile = 0.4323 Residual = 1.1667 Quantile = 0.42 Residual = 1.1 Quantile = 0.4078 Residual = 1 Quantile = 0.3957 Residual = 1 Quantile = 0.3837 Residual = 1 Quantile = 0.3717 Residual = 1 Quantile = 0.3597 Residual = 1 Quantile = 0.3478 Residual = 1 Quantile = 0.336 Residual = 0.9412 Quantile = 0.3242 Residual = 0.9333 Quantile = 0.3124 Residual = 0.9231 Quantile = 0.3007 Residual = 0.9167 Quantile = 0.289 Residual = 0.8889 Quantile = 0.2774 Residual = 0.8571 Quantile = 0.2658 Residual = 0.8333 Quantile = 0.2542 Residual = 0.8 Quantile = 0.2427 Residual = 0.7895 Quantile = 0.2312 Residual = 0.7778 Quantile = 0.2197 Residual = 0.75 Quantile = 0.2083 Residual = 0.75 Quantile = 0.1969 Residual = 0.75 Quantile = 0.1855 Residual = 0.6667 Quantile = 0.1741 Residual = 0.6471 Quantile = 0.1628 Residual = 0.6364 Quantile = 0.1515 Residual = 0.6 Quantile = 0.1402 Residual = 0.6 Quantile = 0.1289 Residual = 0.5556 Quantile = 0.1176 Residual = 0.5 Quantile = 0.1064 Residual = 0.4286 Quantile = 0.0952 Residual = 0.2 Quantile = 0.0839 Residual = 0.2 Quantile = 0.0727 Residual = 0.1875 Quantile = 0.0615 Residual = 0.1818 Quantile = 0.0503 Residual = 0.1 Quantile = 0.0391 Residual = 9.1E-8 Quantile = 0.0279 Residual = 8.3E-8 Quantile = 0.0168 Residual = 2.1E-8 Quantile = 0.0056 Residual = 46E-11 Quantile = -0.006 Residual = 0 Quantile = -0.017 Residual = -13E-9 Quantile = -0.028 Residual = -3E-8 Quantile = -0.039 Residual = -0.071 Quantile = -0.05 Residual = -0.222 Quantile = -0.062 Residual = -0.231 Quantile = -0.073 Residual = -0.312 Quantile = -0.084 Residual = -0.385 Quantile = -0.095 Residual = -0.467 Quantile = -0.106 Residual = -0.5 Quantile = -0.118 Residual = -0.5 Quantile = -0.129 Residual = -0.5 Quantile = -0.14 Residual = -0.5 Quantile = -0.151 Residual = -0.529 Quantile = -0.163 Residual = -0.545 Quantile = -0.174 Residual = -0.571 Quantile = -0.185 Residual = -0.588 Quantile = -0.197 Residual = -0.667 Quantile = -0.208 Residual = -0.667 Quantile = -0.22 Residual = -0.667 Quantile = -0.231 Residual = -0.778 Quantile = -0.243 Residual = -0.8 Quantile = -0.254 Residual = -0.8 Quantile = -0.266 Residual = -0.824 Quantile = -0.277 Residual = -0.833 Quantile = -0.289 Residual = -0.833 Quantile = -0.301 Residual = -0.867 Quantile = -0.312 Residual = -0.889 Quantile = -0.324 Residual = -1 Quantile = -0.336 Residual = -1 Quantile = -0.348 Residual = -1 Quantile = -0.36 Residual = -1 Quantile = -0.372 Residual = -1 Quantile = -0.384 Residual = -1 Quantile = -0.396 Residual = -1.125 Quantile = -0.408 Residual = -1.154 Quantile = -0.42 Residual = -1.167 Quantile = -0.432 Residual = -1.2 Quantile = -0.445 Residual = -1.25 Quantile = -0.457 Residual = -1.278 Quantile = -0.469 Residual = -1.294 Quantile = -0.482 Residual = -1.333 Quantile = -0.494 Residual = -1.333 Quantile = -0.507 Residual = -1.333 Quantile = -0.52 Residual = -1.333 Quantile = -0.533 Residual = -1.353 Quantile = -0.546 Residual = -1.385 Quantile = -0.559 Residual = -1.389 Quantile = -0.572 Residual = -1.389 Quantile = -0.585 Residual = -1.4 Quantile = -0.598 Residual = -1.4 Quantile = -0.612 Residual = -1.4 Quantile = -0.625 Residual = -1.417 Quantile = -0.639 Residual = -1.429 Quantile = -0.653 Residual = -1.429 Quantile = -0.667 Residual = -1.429 Quantile = -0.681 Residual = -1.438 Quantile = -0.695 Residual = -1.438 Quantile = -0.709 Residual = -1.455 Quantile = -0.724 Residual = -1.455 Quantile = -0.738 Residual = -1.5 Quantile = -0.753 Residual = -1.5 Quantile = -0.768 Residual = -1.5 Quantile = -0.783 Residual = -1.5 Quantile = -0.798 Residual = -1.5 Quantile = -0.814 Residual = -1.5 Quantile = -0.829 Residual = -1.5 Quantile = -0.845 Residual = -1.5 Quantile = -0.861 Residual = -1.5 Quantile = -0.878 Residual = -1.5 Quantile = -0.894 Residual = -1.533 Quantile = -0.911 Residual = -1.556 Quantile = -0.928 Residual = -1.579 Quantile = -0.945 Residual = -1.588 Quantile = -0.963 Residual = -1.6 Quantile = -0.981 Residual = -1.6 Quantile = -0.999 Residual = -1.647 Quantile = -1.018 Residual = -1.667 Quantile = -1.037 Residual = -1.667 Quantile = -1.056 Residual = -1.667 Quantile = -1.076 Residual = -1.667 Quantile = -1.096 Residual = -1.684 Quantile = -1.116 Residual = -1.687 Quantile = -1.138 Residual = -1.714 Quantile = -1.159 Residual = -1.714 Quantile = -1.181 Residual = -1.75 Quantile = -1.204 Residual = -1.778 Quantile = -1.228 Residual = -1.786 Quantile = -1.252 Residual = -1.8 Quantile = -1.276 Residual = -1.833 Quantile = -1.302 Residual = -1.833 Quantile = -1.329 Residual = -1.842 Quantile = -1.356 Residual = -1.846 Quantile = -1.385 Residual = -1.857 Quantile = -1.415 Residual = -1.909 Quantile = -1.446 Residual = -1.923 Quantile = -1.478 Residual = -2 Quantile = -1.512 Residual = -2 Quantile = -1.548 Residual = -2 Quantile = -1.587 Residual = -2 Quantile = -1.627 Residual = -2 Quantile = -1.671 Residual = -2 Quantile = -1.718 Residual = -2.158 Quantile = -1.769 Residual = -2.2 Quantile = -1.825 Residual = -2.25 Quantile = -1.888 Residual = -2.286 Quantile = -1.959 Residual = -2.333 Quantile = -2.041 Residual = -2.455 Quantile = -2.14 Residual = -2.667 Quantile = -2.267 Residual = -3 Quantile = -2.445 Residual = -3 Quantile = -2.772 Residual = -3 Slope = 1.4688 Y = -0.029 Lag = 24 ACF = 0.0439 Lag = 23 ACF = -0.017 Lag = 22 ACF = 0.03 Lag = 21 ACF = -0.073 Lag = 20 ACF = -0.018 Lag = 19 ACF = 0.054 Lag = 18 ACF = 0.041 Lag = 17 ACF = -0.016 Lag = 16 ACF = -0.055 Lag = 15 ACF = -0.082 Lag = 14 ACF = 0.0305 Lag = 13 ACF = -0.072 Lag = 12 ACF = -0.055 Lag = 11 ACF = -0.03 Lag = 10 ACF = 0.0602 Lag = 9 ACF = 0.0323 Lag = 8 ACF = 0.079 Lag = 7 ACF = -0.068 Lag = 6 ACF = 0.0881 Lag = 5 ACF = -0.051 Lag = 4 ACF = 0.0775 Lag = 3 ACF = -0.028 Lag = 2 ACF = 0.141 Lag = 1 ACF = -0.104 Lag = 0 ACF = 1 Lag = 24 Lower = -0.146 Upper = 0.1458 Lag = 23 Lower = -0.146 Upper = 0.1457 Lag = 23 Lower = -0.146 Upper = 0.1457 Lag = 22 Lower = -0.146 Upper = 0.1456 Lag = 22 Lower = -0.146 Upper = 0.1456 Lag = 21 Lower = -0.145 Upper = 0.145 Lag = 21 Lower = -0.145 Upper = 0.145 Lag = 20 Lower = -0.145 Upper = 0.1449 Lag = 20 Lower = -0.145 Upper = 0.1449 Lag = 19 Lower = -0.145 Upper = 0.1446 Lag = 19 Lower = -0.145 Upper = 0.1446 Lag = 18 Lower = -0.144 Upper = 0.1444 Lag = 18 Lower = -0.144 Upper = 0.1444 Lag = 17 Lower = -0.144 Upper = 0.1443 Lag = 17 Lower = -0.144 Upper = 0.1443 Lag = 16 Lower = -0.144 Upper = 0.1439 Lag = 16 Lower = -0.144 Upper = 0.1439 Lag = 15 Lower = -0.143 Upper = 0.1431 Lag = 15 Lower = -0.143 Upper = 0.1431 Lag = 14 Lower = -0.143 Upper = 0.143 Lag = 14 Lower = -0.143 Upper = 0.143 Lag = 13 Lower = -0.142 Upper = 0.1424 Lag = 13 Lower = -0.142 Upper = 0.1424 Lag = 12 Lower = -0.142 Upper = 0.142 Lag = 12 Lower = -0.142 Upper = 0.142 Lag = 11 Lower = -0.142 Upper = 0.1419 Lag = 11 Lower = -0.142 Upper = 0.1419 Lag = 10 Lower = -0.141 Upper = 0.1414 Lag = 10 Lower = -0.141 Upper = 0.1414 Lag = 9 Lower = -0.141 Upper = 0.1413 Lag = 9 Lower = -0.141 Upper = 0.1413 Lag = 8 Lower = -0.14 Upper = 0.1405 Lag = 8 Lower = -0.14 Upper = 0.1405 Lag = 7 Lower = -0.14 Upper = 0.1399 Lag = 7 Lower = -0.14 Upper = 0.1399 Lag = 6 Lower = -0.139 Upper = 0.1389 Lag = 6 Lower = -0.139 Upper = 0.1389 Lag = 5 Lower = -0.139 Upper = 0.1386 Lag = 5 Lower = -0.139 Upper = 0.1386 Lag = 4 Lower = -0.138 Upper = 0.1378 Lag = 4 Lower = -0.138 Upper = 0.1378 Lag = 3 Lower = -0.138 Upper = 0.1377 Lag = 3 Lower = -0.138 Upper = 0.1377 Lag = 2 Lower = -0.135 Upper = 0.1351 Lag = 2 Lower = -0.135 Upper = 0.1351 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336 Lag = 0 Lower = 0 Upper = 0 Lag = 24 PACF = 0.0427 Lag = 23 PACF = 0.0077 Lag = 22 PACF = 0.0326 Lag = 21 PACF = -0.07 Lag = 20 PACF = -0.016 Lag = 19 PACF = 0.078 Lag = 18 PACF = 0.0494 Lag = 17 PACF = -0.007 Lag = 16 PACF = -0.076 Lag = 15 PACF = -0.056 Lag = 14 PACF = 0.0233 Lag = 13 PACF = -0.076 Lag = 12 PACF = -0.091 Lag = 11 PACF = -0.022 Lag = 10 PACF = 0.0442 Lag = 9 PACF = 0.0648 Lag = 8 PACF = 0.0476 Lag = 7 PACF = -0.044 Lag = 6 PACF = 0.0648 Lag = 5 PACF = -0.036 Lag = 4 PACF = 0.0579 Lag = 3 PACF = -0.001 Lag = 2 PACF = 0.1315 Lag = 1 PACF = -0.104 Lag = 24 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 23 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 22 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 21 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 20 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 19 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 18 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 17 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 16 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 15 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 14 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 13 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 12 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 11 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 10 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 9 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 8 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 7 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 6 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 5 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 4 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 3 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 2 Lower = -0.134 Upper = 0.1336 Lag = 1 Lower = -0.134 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

Date_of_death = Aug2019 Loess Fit = -0.063 Date_of_death = Jun2019 Loess Fit = -0.062 Date_of_death = Jun2019 Loess Fit = -0.062 Date_of_death = May2019 Loess Fit = -0.061 Date_of_death = May2019 Loess Fit = -0.061 Date_of_death = Apr2019 Loess Fit = -0.06 Date_of_death = Apr2019 Loess Fit = -0.06 Date_of_death = Mar2019 Loess Fit = -0.059 Date_of_death = Mar2019 Loess Fit = -0.059 Date_of_death = Feb2019 Loess Fit = -0.058 Date_of_death = Feb2019 Loess Fit = -0.058 Date_of_death = Jan2019 Loess Fit = -0.057 Date_of_death = Jan2019 Loess Fit = -0.057 Date_of_death = Dec2018 Loess Fit = -0.056 Date_of_death = Dec2018 Loess Fit = -0.056 Date_of_death = Nov2018 Loess Fit = -0.055 Date_of_death = Nov2018 Loess Fit = -0.055 Date_of_death = Sep2018 Loess Fit = -0.054 Date_of_death = Sep2018 Loess Fit = -0.054 Date_of_death = Aug2018 Loess Fit = -0.053 Date_of_death = Aug2018 Loess Fit = -0.053 Date_of_death = Jul2018 Loess Fit = -0.052 Date_of_death = Jul2018 Loess Fit = -0.052 Date_of_death = Jun2018 Loess Fit = -0.051 Date_of_death = Jun2018 Loess Fit = -0.051 Date_of_death = May2018 Loess Fit = -0.05 Date_of_death = May2018 Loess Fit = -0.05 Date_of_death = Apr2018 Loess Fit = -0.049 Date_of_death = Apr2018 Loess Fit = -0.049 Date_of_death = Mar2018 Loess Fit = -0.049 Date_of_death = Mar2018 Loess Fit = -0.049 Date_of_death = Feb2018 Loess Fit = -0.048 Date_of_death = Feb2018 Loess Fit = -0.048 Date_of_death = Jan2018 Loess Fit = -0.047 Date_of_death = Jan2018 Loess Fit = -0.047 Date_of_death = Nov2017 Loess Fit = -0.046 Date_of_death = Nov2017 Loess Fit = -0.046 Date_of_death = Oct2017 Loess Fit = -0.045 Date_of_death = Oct2017 Loess Fit = -0.045 Date_of_death = Sep2017 Loess Fit = -0.045 Date_of_death = Sep2017 Loess Fit = -0.045 Date_of_death = Aug2017 Loess Fit = -0.044 Date_of_death = Aug2017 Loess Fit = -0.044 Date_of_death = Jul2017 Loess Fit = -0.043 Date_of_death = Jul2017 Loess Fit = -0.043 Date_of_death = Jun2017 Loess Fit = -0.042 Date_of_death = Jun2017 Loess Fit = -0.042 Date_of_death = May2017 Loess Fit = -0.042 Date_of_death = May2017 Loess Fit = -0.042 Date_of_death = Apr2017 Loess Fit = -0.041 Date_of_death = Apr2017 Loess Fit = -0.041 Date_of_death = Mar2017 Loess Fit = -0.037 Date_of_death = Mar2017 Loess Fit = -0.037 Date_of_death = Jan2017 Loess Fit = -0.032 Date_of_death = Jan2017 Loess Fit = -0.032 Date_of_death = Dec2016 Loess Fit = -0.027 Date_of_death = Dec2016 Loess Fit = -0.027 Date_of_death = Nov2016 Loess Fit = -0.023 Date_of_death = Nov2016 Loess Fit = -0.023 Date_of_death = Oct2016 Loess Fit = -0.018 Date_of_death = Oct2016 Loess Fit = -0.018 Date_of_death = Sep2016 Loess Fit = -0.014 Date_of_death = Sep2016 Loess Fit = -0.014 Date_of_death = Aug2016 Loess Fit = -0.009 Date_of_death = Aug2016 Loess Fit = -0.009 Date_of_death = Jul2016 Loess Fit = -0.004 Date_of_death = Jul2016 Loess Fit = -0.004 Date_of_death = Jun2016 Loess Fit = 0.0003 Date_of_death = Jun2016 Loess Fit = 0.0003 Date_of_death = Apr2016 Loess Fit = 0.0049 Date_of_death = Apr2016 Loess Fit = 0.0049 Date_of_death = Mar2016 Loess Fit = 0.0095 Date_of_death = Mar2016 Loess Fit = 0.0095 Date_of_death = Feb2016 Loess Fit = 0.0142 Date_of_death = Feb2016 Loess Fit = 0.0142 Date_of_death = Jan2016 Loess Fit = 0.0181 Date_of_death = Jan2016 Loess Fit = 0.0181 Date_of_death = Dec2015 Loess Fit = 0.0206 Date_of_death = Dec2015 Loess Fit = 0.0206 Date_of_death = Nov2015 Loess Fit = 0.0232 Date_of_death = Nov2015 Loess Fit = 0.0232 Date_of_death = Oct2015 Loess Fit = 0.0258 Date_of_death = Oct2015 Loess Fit = 0.0258 Date_of_death = Sep2015 Loess Fit = 0.0284 Date_of_death = Sep2015 Loess Fit = 0.0284 Date_of_death = Aug2015 Loess Fit = 0.0309 Date_of_death = Aug2015 Loess Fit = 0.0309 Date_of_death = Jun2015 Loess Fit = 0.0335 Date_of_death = Jun2015 Loess Fit = 0.0335 Date_of_death = May2015 Loess Fit = 0.0361 Date_of_death = May2015 Loess Fit = 0.0361 Date_of_death = Apr2015 Loess Fit = 0.0387 Date_of_death = Apr2015 Loess Fit = 0.0387 Date_of_death = Mar2015 Loess Fit = 0.0412 Date_of_death = Mar2015 Loess Fit = 0.0412 Date_of_death = Feb2015 Loess Fit = 0.0438 Date_of_death = Feb2015 Loess Fit = 0.0438 Date_of_death = Jan2015 Loess Fit = 0.0464 Date_of_death = Jan2015 Loess Fit = 0.0464 Date_of_death = Dec2014 Loess Fit = 0.049 Date_of_death = Dec2014 Loess Fit = 0.049 Date_of_death = Nov2014 Loess Fit = 0.0425 Date_of_death = Nov2014 Loess Fit = 0.0425 Date_of_death = Oct2014 Loess Fit = 0.0336 Date_of_death = Oct2014 Loess Fit = 0.0336 Date_of_death = Aug2014 Loess Fit = 0.0246 Date_of_death = Aug2014 Loess Fit = 0.0246 Date_of_death = Jul2014 Loess Fit = 0.0156 Date_of_death = Jul2014 Loess Fit = 0.0156 Date_of_death = Jun2014 Loess Fit = 0.0066 Date_of_death = Jun2014 Loess Fit = 0.0066 Date_of_death = May2014 Loess Fit = -0.002 Date_of_death = May2014 Loess Fit = -0.002 Date_of_death = Apr2014 Loess Fit = -0.011 Date_of_death = Apr2014 Loess Fit = -0.011 Date_of_death = Mar2014 Loess Fit = -0.02 Date_of_death = Mar2014 Loess Fit = -0.02 Date_of_death = Feb2014 Loess Fit = -0.029 Date_of_death = Feb2014 Loess Fit = -0.029 Date_of_death = Jan2014 Loess Fit = -0.038 Date_of_death = Jan2014 Loess Fit = -0.038 Date_of_death = Nov2013 Loess Fit = -0.047 Date_of_death = Nov2013 Loess Fit = -0.047 Date_of_death = Oct2013 Loess Fit = -0.056 Date_of_death = Oct2013 Loess Fit = -0.056 Date_of_death = Sep2013 Loess Fit = -0.063 Date_of_death = Sep2013 Loess Fit = -0.063 Date_of_death = Aug2013 Loess Fit = -0.063 Date_of_death = Aug2013 Loess Fit = -0.063 Date_of_death = Jul2013 Loess Fit = -0.062 Date_of_death = Jul2013 Loess Fit = -0.062 Date_of_death = Jun2013 Loess Fit = -0.062 Date_of_death = Jun2013 Loess Fit = -0.062 Date_of_death = May2013 Loess Fit = -0.061 Date_of_death = May2013 Loess Fit = -0.061 Date_of_death = Apr2013 Loess Fit = -0.061 Date_of_death = Apr2013 Loess Fit = -0.061 Date_of_death = Mar2013 Loess Fit = -0.06 Date_of_death = Mar2013 Loess Fit = -0.06 Date_of_death = Jan2013 Loess Fit = -0.06 Date_of_death = Jan2013 Loess Fit = -0.06 Date_of_death = Dec2012 Loess Fit = -0.059 Date_of_death = Dec2012 Loess Fit = -0.059 Date_of_death = Nov2012 Loess Fit = -0.059 Date_of_death = Nov2012 Loess Fit = -0.059 Date_of_death = Oct2012 Loess Fit = -0.058 Date_of_death = Oct2012 Loess Fit = -0.058 Date_of_death = Sep2012 Loess Fit = -0.057 Date_of_death = Sep2012 Loess Fit = -0.057 Date_of_death = Aug2012 Loess Fit = -0.057 Date_of_death = Aug2012 Loess Fit = -0.057 Date_of_death = Jul2012 Loess Fit = -0.052 Date_of_death = Jul2012 Loess Fit = -0.052 Date_of_death = Jun2012 Loess Fit = -0.046 Date_of_death = Jun2012 Loess Fit = -0.046 Date_of_death = May2012 Loess Fit = -0.04 Date_of_death = May2012 Loess Fit = -0.04 Date_of_death = Mar2012 Loess Fit = -0.033 Date_of_death = Mar2012 Loess Fit = -0.033 Date_of_death = Feb2012 Loess Fit = -0.027 Date_of_death = Feb2012 Loess Fit = -0.027 Date_of_death = Jan2012 Loess Fit = -0.02 Date_of_death = Jan2012 Loess Fit = -0.02 Date_of_death = Dec2011 Loess Fit = -0.014 Date_of_death = Dec2011 Loess Fit = -0.014 Date_of_death = Nov2011 Loess Fit = -0.007 Date_of_death = Nov2011 Loess Fit = -0.007 Date_of_death = Oct2011 Loess Fit = -66E-5 Date_of_death = Oct2011 Loess Fit = -66E-5 Date_of_death = Sep2011 Loess Fit = 0.0058 Date_of_death = Sep2011 Loess Fit = 0.0058 Date_of_death = Aug2011 Loess Fit = 0.0123 Date_of_death = Aug2011 Loess Fit = 0.0123 Date_of_death = Jul2011 Loess Fit = 0.0188 Date_of_death = Jul2011 Loess Fit = 0.0188 Date_of_death = May2011 Loess Fit = 0.0269 Date_of_death = May2011 Loess Fit = 0.0269 Date_of_death = Apr2011 Loess Fit = 0.0531 Date_of_death = Apr2011 Loess Fit = 0.0531 Date_of_death = Mar2011 Loess Fit = 0.0793 Date_of_death = Mar2011 Loess Fit = 0.0793 Date_of_death = Feb2011 Loess Fit = 0.1054 Date_of_death = Feb2011 Loess Fit = 0.1054 Date_of_death = Jan2011 Loess Fit = 0.1316 Date_of_death = Jan2011 Loess Fit = 0.1316 Date_of_death = Dec2010 Loess Fit = 0.1578 Date_of_death = Dec2010 Loess Fit = 0.1578 Date_of_death = Nov2010 Loess Fit = 0.184 Date_of_death = Nov2010 Loess Fit = 0.184 Date_of_death = Oct2010 Loess Fit = 0.2102 Date_of_death = Oct2010 Loess Fit = 0.2102 Date_of_death = Aug2010 Loess Fit = 0.2364 Date_of_death = Aug2010 Loess Fit = 0.2364 Date_of_death = Jul2010 Loess Fit = 0.2626 Date_of_death = Jul2010 Loess Fit = 0.2626 Date_of_death = Jun2010 Loess Fit = 0.2887 Date_of_death = Jun2010 Loess Fit = 0.2887 Date_of_death = May2010 Loess Fit = 0.3149 Date_of_death = May2010 Loess Fit = 0.3149 Date_of_death = Apr2010 Loess Fit = 0.3411 Date_of_death = Apr2010 Loess Fit = 0.3411 Date_of_death = Mar2010 Loess Fit = 0.3553 Date_of_death = Mar2010 Loess Fit = 0.3553 Date_of_death = Feb2010 Loess Fit = 0.3588 Date_of_death = Feb2010 Loess Fit = 0.3588 Date_of_death = Jan2010 Loess Fit = 0.3623 Date_of_death = Jan2010 Loess Fit = 0.3623 Date_of_death = Dec2009 Loess Fit = 0.3658 Date_of_death = Dec2009 Loess Fit = 0.3658 Date_of_death = Oct2009 Loess Fit = 0.3693 Date_of_death = Oct2009 Loess Fit = 0.3693 Date_of_death = Sep2009 Loess Fit = 0.3728 Date_of_death = Sep2009 Loess Fit = 0.3728 Date_of_death = Aug2009 Loess Fit = 0.3763 Date_of_death = Aug2009 Loess Fit = 0.3763 Date_of_death = Jul2009 Loess Fit = 0.3798 Date_of_death = Jul2009 Loess Fit = 0.3798 Date_of_death = Jun2009 Loess Fit = 0.3833 Date_of_death = Jun2009 Loess Fit = 0.3833 Date_of_death = May2009 Loess Fit = 0.3868 Date_of_death = May2009 Loess Fit = 0.3868 Date_of_death = Apr2009 Loess Fit = 0.3903 Date_of_death = Apr2009 Loess Fit = 0.3903 Date_of_death = Mar2009 Loess Fit = 0.3937 Date_of_death = Mar2009 Loess Fit = 0.3937 Date_of_death = Jan2009 Loess Fit = 0.3964 Date_of_death = Jan2009 Loess Fit = 0.3964 Date_of_death = Dec2008 Loess Fit = 0.3724 Date_of_death = Dec2008 Loess Fit = 0.3724 Date_of_death = Nov2008 Loess Fit = 0.3484 Date_of_death = Nov2008 Loess Fit = 0.3484 Date_of_death = Oct2008 Loess Fit = 0.3244 Date_of_death = Oct2008 Loess Fit = 0.3244 Date_of_death = Sep2008 Loess Fit = 0.3004 Date_of_death = Sep2008 Loess Fit = 0.3004 Date_of_death = Aug2008 Loess Fit = 0.2764 Date_of_death = Aug2008 Loess Fit = 0.2764 Date_of_death = Jul2008 Loess Fit = 0.2524 Date_of_death = Jul2008 Loess Fit = 0.2524 Date_of_death = Jun2008 Loess Fit = 0.2284 Date_of_death = Jun2008 Loess Fit = 0.2284 Date_of_death = May2008 Loess Fit = 0.2044 Date_of_death = May2008 Loess Fit = 0.2044 Date_of_death = Mar2008 Loess Fit = 0.1804 Date_of_death = Mar2008 Loess Fit = 0.1804 Date_of_death = Feb2008 Loess Fit = 0.1564 Date_of_death = Feb2008 Loess Fit = 0.1564 Date_of_death = Jan2008 Loess Fit = 0.1324 Date_of_death = Jan2008 Loess Fit = 0.1324 Date_of_death = Dec2007 Loess Fit = 0.1084 Date_of_death = Dec2007 Loess Fit = 0.1084 Date_of_death = Nov2007 Loess Fit = 0.081 Date_of_death = Nov2007 Loess Fit = 0.081 Date_of_death = Oct2007 Loess Fit = 0.0491 Date_of_death = Oct2007 Loess Fit = 0.0491 Date_of_death = Sep2007 Loess Fit = 0.0171 Date_of_death = Sep2007 Loess Fit = 0.0171 Date_of_death = Aug2007 Loess Fit = -0.015 Date_of_death = Aug2007 Loess Fit = -0.015 Date_of_death = Jul2007 Loess Fit = -0.047 Date_of_death = Jul2007 Loess Fit = -0.047 Date_of_death = May2007 Loess Fit = -0.079 Date_of_death = May2007 Loess Fit = -0.079 Date_of_death = Apr2007 Loess Fit = -0.111 Date_of_death = Apr2007 Loess Fit = -0.111 Date_of_death = Mar2007 Loess Fit = -0.143 Date_of_death = Mar2007 Loess Fit = -0.143 Date_of_death = Feb2007 Loess Fit = -0.175 Date_of_death = Feb2007 Loess Fit = -0.175 Date_of_death = Jan2007 Loess Fit = -0.207 Date_of_death = Jan2007 Loess Fit = -0.207 Date_of_death = Dec2006 Loess Fit = -0.239 Date_of_death = Dec2006 Loess Fit = -0.239 Date_of_death = Nov2006 Loess Fit = -0.271 Date_of_death = Nov2006 Loess Fit = -0.271 Date_of_death = Oct2006 Loess Fit = -0.303 Date_of_death = Oct2006 Loess Fit = -0.303 Date_of_death = Sep2006 Loess Fit = -0.314 Date_of_death = Sep2006 Loess Fit = -0.314 Date_of_death = Jul2006 Loess Fit = -0.321 Date_of_death = Jul2006 Loess Fit = -0.321 Date_of_death = Jun2006 Loess Fit = -0.329 Date_of_death = Jun2006 Loess Fit = -0.329 Date_of_death = May2006 Loess Fit = -0.336 Date_of_death = May2006 Loess Fit = -0.336 Date_of_death = Apr2006 Loess Fit = -0.343 Date_of_death = Apr2006 Loess Fit = -0.343 Date_of_death = Mar2006 Loess Fit = -0.351 Date_of_death = Mar2006 Loess Fit = -0.351 Date_of_death = Feb2006 Loess Fit = -0.358 Date_of_death = Feb2006 Loess Fit = -0.358 Date_of_death = Jan2006 Loess Fit = -0.366 Date_of_death = Jan2006 Loess Fit = -0.366 Date_of_death = Dec2005 Loess Fit = -0.373 Date_of_death = Dec2005 Loess Fit = -0.373 Date_of_death = Oct2005 Loess Fit = -0.38 Date_of_death = Oct2005 Loess Fit = -0.38 Date_of_death = Sep2005 Loess Fit = -0.388 Date_of_death = Sep2005 Loess Fit = -0.388 Date_of_death = Aug2005 Loess Fit = -0.395 Date_of_death = Aug2005 Loess Fit = -0.395 Date_of_death = Jul2005 Loess Fit = -0.396 Date_of_death = Jul2005 Loess Fit = -0.396 Date_of_death = Jun2005 Loess Fit = -0.38 Date_of_death = Jun2005 Loess Fit = -0.38 Date_of_death = May2005 Loess Fit = -0.364 Date_of_death = May2005 Loess Fit = -0.364 Date_of_death = Apr2005 Loess Fit = -0.348 Date_of_death = Apr2005 Loess Fit = -0.348 Date_of_death = Mar2005 Loess Fit = -0.332 Date_of_death = Mar2005 Loess Fit = -0.332 Date_of_death = Feb2005 Loess Fit = -0.316 Date_of_death = Feb2005 Loess Fit = -0.316 Date_of_death = Dec2004 Loess Fit = -0.3 Date_of_death = Dec2004 Loess Fit = -0.3 Date_of_death = Nov2004 Loess Fit = -0.284 Date_of_death = Nov2004 Loess Fit = -0.284 Date_of_death = Oct2004 Loess Fit = -0.268 Date_of_death = Oct2004 Loess Fit = -0.268 Date_of_death = Sep2004 Loess Fit = -0.252 Date_of_death = Sep2004 Loess Fit = -0.252 Date_of_death = Aug2004 Loess Fit = -0.236 Date_of_death = Aug2004 Loess Fit = -0.236 Date_of_death = Jul2004 Loess Fit = -0.221 Date_of_death = Jul2004 Loess Fit = -0.221 Date_of_death = Jun2004 Loess Fit = -0.205 Date_of_death = Jun2004 Loess Fit = -0.205 Date_of_death = May2004 Loess Fit = -0.193 Date_of_death = May2004 Loess Fit = -0.193 Date_of_death = Apr2004 Loess Fit = -0.183 Date_of_death = Apr2004 Loess Fit = -0.183 Date_of_death = Feb2004 Loess Fit = -0.173 Date_of_death = Feb2004 Loess Fit = -0.173 Date_of_death = Jan2004 Loess Fit = -0.164 Date_of_death = Jan2004 Loess Fit = -0.164 Date_of_death = Dec2003 Loess Fit = -0.154 Date_of_death = Dec2003 Loess Fit = -0.154 Date_of_death = Nov2003 Loess Fit = -0.144 Date_of_death = Nov2003 Loess Fit = -0.144 Date_of_death = Oct2003 Loess Fit = -0.134 Date_of_death = Oct2003 Loess Fit = -0.134 Date_of_death = Sep2003 Loess Fit = -0.124 Date_of_death = Sep2003 Loess Fit = -0.124 Date_of_death = Aug2003 Loess Fit = -0.114 Date_of_death = Aug2003 Loess Fit = -0.114 Date_of_death = Jul2003 Loess Fit = -0.104 Date_of_death = Jul2003 Loess Fit = -0.104 Date_of_death = Jun2003 Loess Fit = -0.094 Date_of_death = Jun2003 Loess Fit = -0.094 Date_of_death = Apr2003 Loess Fit = -0.084 Date_of_death = Apr2003 Loess Fit = -0.084 Date_of_death = Mar2003 Loess Fit = -0.077 Date_of_death = Mar2003 Loess Fit = -0.077 Date_of_death = Feb2003 Loess Fit = -0.082 Date_of_death = Feb2003 Loess Fit = -0.082 Date_of_death = Jan2003 Loess Fit = -0.087 Date_of_death = Jan2003 Loess Fit = -0.087 Date_of_death = Dec2002 Loess Fit = -0.092 Date_of_death = Dec2002 Loess Fit = -0.092 Date_of_death = Nov2002 Loess Fit = -0.097 Date_of_death = Nov2002 Loess Fit = -0.097 Date_of_death = Oct2002 Loess Fit = -0.102 Date_of_death = Oct2002 Loess Fit = -0.102 Date_of_death = Sep2002 Loess Fit = -0.108 Date_of_death = Sep2002 Loess Fit = -0.108 Date_of_death = Jul2002 Loess Fit = -0.113 Date_of_death = Jul2002 Loess Fit = -0.113 Date_of_death = Jun2002 Loess Fit = -0.118 Date_of_death = Jun2002 Loess Fit = -0.118 Date_of_death = May2002 Loess Fit = -0.123 Date_of_death = May2002 Loess Fit = -0.123 Date_of_death = Apr2002 Loess Fit = -0.128 Date_of_death = Apr2002 Loess Fit = -0.128 Date_of_death = Mar2002 Loess Fit = -0.133 Date_of_death = Mar2002 Loess Fit = -0.133 Date_of_death = Feb2002 Loess Fit = -0.138 Date_of_death = Feb2002 Loess Fit = -0.138 Date_of_death = Jan2002 Loess Fit = -0.144 Date_of_death = Jan2002 Loess Fit = -0.144 Date_of_death = Dec2001 Loess Fit = -0.151 Date_of_death = Dec2001 Loess Fit = -0.151 Date_of_death = Nov2001 Loess Fit = -0.157 Date_of_death = Nov2001 Loess Fit = -0.157 Date_of_death = Sep2001 Loess Fit = -0.164 Date_of_death = Sep2001 Loess Fit = -0.164 Date_of_death = Aug2001 Loess Fit = -0.171 Date_of_death = Aug2001 Loess Fit = -0.171 Date_of_death = Jul2001 Loess Fit = -0.177 Date_of_death = Jul2001 Loess Fit = -0.177 Date_of_death = Jun2001 Loess Fit = -0.184 Date_of_death = Jun2001 Loess Fit = -0.184 Date_of_death = May2001 Loess Fit = -0.191 Date_of_death = May2001 Loess Fit = -0.191 Date_of_death = Apr2001 Loess Fit = -0.197 Date_of_death = Apr2001 Loess Fit = -0.197 Date_of_death = Mar2001 Loess Fit = -0.204 Date_of_death = Mar2001 Loess Fit = -0.204 Date_of_death = Feb2001 Loess Fit = -0.21 Date_of_death = Feb2001 Loess Fit = -0.21 Date_of_death = Jan2001 Loess Fit = -0.217 Date_of_death = Aug2019 Prediction Error = -1.684 Date_of_death = Jul2019 Prediction Error = 1.3684 Date_of_death = Jun2019 Prediction Error = 0.7895 Date_of_death = May2019 Prediction Error = 1.6842 Date_of_death = Apr2019 Prediction Error = -1.579 Date_of_death = Mar2019 Prediction Error = 1.5789 Date_of_death = Feb2019 Prediction Error = -1.842 Date_of_death = Jan2019 Prediction Error = -2.158 Date_of_death = Dec2018 Prediction Error = 0.7778 Date_of_death = Nov2018 Prediction Error = -1.389 Date_of_death = Oct2018 Prediction Error = 1.3889 Date_of_death = Sep2018 Prediction Error = 1.4444 Date_of_death = Aug2018 Prediction Error = -1.778 Date_of_death = Jul2018 Prediction Error = 1.4444 Date_of_death = Jun2018 Prediction Error = -1.278 Date_of_death = May2018 Prediction Error = -1.389 Date_of_death = Apr2018 Prediction Error = 1.5 Date_of_death = Mar2018 Prediction Error = -1.5 Date_of_death = Feb2018 Prediction Error = 1.2222 Date_of_death = Jan2018 Prediction Error = 0.8889 Date_of_death = Dec2017 Prediction Error = -1.294 Date_of_death = Nov2017 Prediction Error = 1.7059 Date_of_death = Oct2017 Prediction Error = 1.4706 Date_of_death = Sep2017 Prediction Error = -0.588 Date_of_death = Aug2017 Prediction Error = -0.824 Date_of_death = Jul2017 Prediction Error = -1.647 Date_of_death = Jun2017 Prediction Error = -1.353 Date_of_death = May2017 Prediction Error = 0.6471 Date_of_death = Apr2017 Prediction Error = -1.588 Date_of_death = Mar2017 Prediction Error = -0.529 Date_of_death = Feb2017 Prediction Error = 1.2941 Date_of_death = Jan2017 Prediction Error = 0.9412 Date_of_death = Dec2016 Prediction Error = 0.75 Date_of_death = Nov2016 Prediction Error = -0.312 Date_of_death = Oct2016 Prediction Error = 1.5625 Date_of_death = Sep2016 Prediction Error = -1.687 Date_of_death = Aug2016 Prediction Error = 0.1875 Date_of_death = Jul2016 Prediction Error = 1.4375 Date_of_death = Jun2016 Prediction Error = -1.438 Date_of_death = May2016 Prediction Error = -1.438 Date_of_death = Apr2016 Prediction Error = 1.5 Date_of_death = Mar2016 Prediction Error = 1.5625 Date_of_death = Feb2016 Prediction Error = 1.375 Date_of_death = Jan2016 Prediction Error = -1.125 Date_of_death = Dec2015 Prediction Error = 0.8 Date_of_death = Nov2015 Prediction Error = -1.4 Date_of_death = Oct2015 Prediction Error = 0.6 Date_of_death = Sep2015 Prediction Error = -1.8 Date_of_death = Aug2015 Prediction Error = -0.867 Date_of_death = Jul2015 Prediction Error = -1.667 Date_of_death = Jun2015 Prediction Error = 1.6667 Date_of_death = May2015 Prediction Error = -0.467 Date_of_death = Apr2015 Prediction Error = -1.6 Date_of_death = Mar2015 Prediction Error = -1.533 Date_of_death = Feb2015 Prediction Error = 1.4667 Date_of_death = Jan2015 Prediction Error = 0.9333 Date_of_death = Dec2014 Prediction Error = 0.8571 Date_of_death = Nov2014 Prediction Error = -1.5 Date_of_death = Oct2014 Prediction Error = 1.7143 Date_of_death = Sep2014 Prediction Error = 1.2857 Date_of_death = Aug2014 Prediction Error = 1.2143 Date_of_death = Jul2014 Prediction Error = -1.786 Date_of_death = Jun2014 Prediction Error = 1.7857 Date_of_death = May2014 Prediction Error = 1.6429 Date_of_death = Apr2014 Prediction Error = -1.714 Date_of_death = Mar2014 Prediction Error = 1.5714 Date_of_death = Feb2014 Prediction Error = -0.571 Date_of_death = Jan2014 Prediction Error = -0.071 Date_of_death = Dec2013 Prediction Error = 0.9231 Date_of_death = Nov2013 Prediction Error = 1.6154 Date_of_death = Oct2013 Prediction Error = -1.385 Date_of_death = Sep2013 Prediction Error = 1.3846 Date_of_death = Aug2013 Prediction Error = -1.923 Date_of_death = Jul2013 Prediction Error = 1.3077 Date_of_death = Jun2013 Prediction Error = -0.231 Date_of_death = May2013 Prediction Error = -0.385 Date_of_death = Apr2013 Prediction Error = -1.846 Date_of_death = Mar2013 Prediction Error = 1.6923 Date_of_death = Feb2013 Prediction Error = 1.5385 Date_of_death = Jan2013 Prediction Error = -1.154 Date_of_death = Dec2012 Prediction Error = -2.25 Date_of_death = Nov2012 Prediction Error = -1.5 Date_of_death = Oct2012 Prediction Error = -1.5 Date_of_death = Sep2012 Prediction Error = -0.667 Date_of_death = Aug2012 Prediction Error = 1.1667 Date_of_death = Jul2012 Prediction Error = -1.833 Date_of_death = Jun2012 Prediction Error = -1.333 Date_of_death = May2012 Prediction Error = -1.5 Date_of_death = Apr2012 Prediction Error = 1.25 Date_of_death = Mar2012 Prediction Error = -1.417 Date_of_death = Feb2012 Prediction Error = 1.6667 Date_of_death = Jan2012 Prediction Error = 0.9167 Date_of_death = Dec2011 Prediction Error = -2.455 Date_of_death = Nov2011 Prediction Error = -0.545 Date_of_death = Oct2011 Prediction Error = 1.6364 Date_of_death = Sep2011 Prediction Error = 1.4545 Date_of_death = Aug2011 Prediction Error = 0.1818 Date_of_death = Jul2011 Prediction Error = 1.2727 Date_of_death = Jun2011 Prediction Error = -1.455 Date_of_death = May2011 Prediction Error = 1.6364 Date_of_death = Apr2011 Prediction Error = -1.909 Date_of_death = Mar2011 Prediction Error = 0.6364 Date_of_death = Feb2011 Prediction Error = -1.455 Date_of_death = Jan2011 Prediction Error = 1 Date_of_death = Dec2010 Prediction Error = 0.6 Date_of_death = Nov2010 Prediction Error = 1.6 Date_of_death = Oct2010 Prediction Error = 1.8 Date_of_death = Sep2010 Prediction Error = 1.6 Date_of_death = Aug2010 Prediction Error = 1.3 Date_of_death = Jul2010 Prediction Error = -0.8 Date_of_death = Jun2010 Prediction Error = -1.6 Date_of_death = May2010 Prediction Error = -1.5 Date_of_death = Apr2010 Prediction Error = 0.1 Date_of_death = Mar2010 Prediction Error = -1.5 Date_of_death = Feb2010 Prediction Error = 1.7 Date_of_death = Jan2010 Prediction Error = 1.1 Date_of_death = Dec2009 Prediction Error = 0.6667 Date_of_death = Nov2009 Prediction Error = 1.7778 Date_of_death = Oct2009 Prediction Error = -0.222 Date_of_death = Sep2009 Prediction Error = -1.556 Date_of_death = Aug2009 Prediction Error = -0.778 Date_of_death = Jul2009 Prediction Error = -0.889 Date_of_death = Jun2009 Prediction Error = 1.5556 Date_of_death = May2009 Prediction Error = 1.6667 Date_of_death = Apr2009 Prediction Error = 1.2222 Date_of_death = Mar2009 Prediction Error = 0.5556 Date_of_death = Feb2009 Prediction Error = 1.8889 Date_of_death = Jan2009 Prediction Error = 1.2222 Date_of_death = Dec2008 Prediction Error = 0.75 Date_of_death = Nov2008 Prediction Error = 2 Date_of_death = Oct2008 Prediction Error = 2 Date_of_death = Sep2008 Prediction Error = -1.75 Date_of_death = Aug2008 Prediction Error = 1.375 Date_of_death = Jul2008 Prediction Error = -1 Date_of_death = Jun2008 Prediction Error = 1.75 Date_of_death = May2008 Prediction Error = -1.5 Date_of_death = Apr2008 Prediction Error = 1.375 Date_of_death = Mar2008 Prediction Error = 1.75 Date_of_death = Feb2008 Prediction Error = -1.25 Date_of_death = Jan2008 Prediction Error = 1.375 Date_of_death = Dec2007 Prediction Error = -1.429 Date_of_death = Nov2007 Prediction Error = 2.2857 Date_of_death = Oct2007 Prediction Error = 2.2857 Date_of_death = Sep2007 Prediction Error = 1.4286 Date_of_death = Aug2007 Prediction Error = 0.4286 Date_of_death = Jul2007 Prediction Error = -2.286 Date_of_death = Jun2007 Prediction Error = 2 Date_of_death = May2007 Prediction Error = -1.714 Date_of_death = Apr2007 Prediction Error = -1.857 Date_of_death = Mar2007 Prediction Error = -1.429 Date_of_death = Feb2007 Prediction Error = -1.429 Date_of_death = Jan2007 Prediction Error = 1.5714 Date_of_death = Dec2006 Prediction Error = -1.667 Date_of_death = Nov2006 Prediction Error = -0.833 Date_of_death = Oct2006 Prediction Error = -0.833 Date_of_death = Sep2006 Prediction Error = -1.833 Date_of_death = Aug2006 Prediction Error = -0.667 Date_of_death = Jul2006 Prediction Error = 0.8333 Date_of_death = Jun2006 Prediction Error = -1.167 Date_of_death = May2006 Prediction Error = -2 Date_of_death = Apr2006 Prediction Error = 1.3333 Date_of_death = Mar2006 Prediction Error = -1.667 Date_of_death = Feb2006 Prediction Error = -0.5 Date_of_death = Jan2006 Prediction Error = -1.667 Date_of_death = Dec2005 Prediction Error = -2 Date_of_death = Nov2005 Prediction Error = 0.2 Date_of_death = Oct2005 Prediction Error = 0.2 Date_of_death = Sep2005 Prediction Error = -2.2 Date_of_death = Aug2005 Prediction Error = 1.6 Date_of_death = Jul2005 Prediction Error = -1.4 Date_of_death = Jun2005 Prediction Error = -1.4 Date_of_death = May2005 Prediction Error = -1.2 Date_of_death = Apr2005 Prediction Error = -2 Date_of_death = Mar2005 Prediction Error = -0.8 Date_of_death = Feb2005 Prediction Error = 1.8 Date_of_death = Jan2005 Prediction Error = 1.6 Date_of_death = Dec2004 Prediction Error = -13E-9 Date_of_death = Nov2004 Prediction Error = -1 Date_of_death = Oct2004 Prediction Error = -1 Date_of_death = Sep2004 Prediction Error = 1 Date_of_death = Aug2004 Prediction Error = -0.5 Date_of_death = Jul2004 Prediction Error = 0.75 Date_of_death = Jun2004 Prediction Error = 2 Date_of_death = May2004 Prediction Error = 1 Date_of_death = Apr2004 Prediction Error = 1.25 Date_of_death = Mar2004 Prediction Error = 1.5 Date_of_death = Feb2004 Prediction Error = -1.5 Date_of_death = Jan2004 Prediction Error = -0.5 Date_of_death = Dec2003 Prediction Error = 8.3E-8 Date_of_death = Nov2003 Prediction Error = -1.333 Date_of_death = Oct2003 Prediction Error = 9.1E-8 Date_of_death = Sep2003 Prediction Error = -1.333 Date_of_death = Aug2003 Prediction Error = -2 Date_of_death = Jul2003 Prediction Error = 1 Date_of_death = Jun2003 Prediction Error = -1.333 Date_of_death = May2003 Prediction Error = -2.667 Date_of_death = Apr2003 Prediction Error = -2.333 Date_of_death = Mar2003 Prediction Error = 2 Date_of_death = Feb2003 Prediction Error = -0.667 Date_of_death = Jan2003 Prediction Error = 2 Date_of_death = Dec2002 Prediction Error = 46E-11 Date_of_death = Nov2002 Prediction Error = 2.5 Date_of_death = Oct2002 Prediction Error = -1.5 Date_of_death = Sep2002 Prediction Error = 1 Date_of_death = Aug2002 Prediction Error = 1.5 Date_of_death = Jul2002 Prediction Error = 1.5 Date_of_death = Jun2002 Prediction Error = -0.5 Date_of_death = May2002 Prediction Error = 0.5 Date_of_death = Apr2002 Prediction Error = 1 Date_of_death = Mar2002 Prediction Error = -3E-8 Date_of_death = Feb2002 Prediction Error = -1 Date_of_death = Jan2002 Prediction Error = 3 Date_of_death = Dec2001 Prediction Error = 2.1E-8 Date_of_death = Nov2001 Prediction Error = -1 Date_of_death = Oct2001 Prediction Error = -3 Date_of_death = Sep2001 Prediction Error = 2 Date_of_death = Aug2001 Prediction Error = -3 Date_of_death = Jul2001 Prediction Error = 3 Date_of_death = Jun2001 Prediction Error = -3 Date_of_death = May2001 Prediction Error = -1 Date_of_death = Apr2001 Prediction Error = -2 Date_of_death = Mar2001 Prediction Error = 2 Date_of_death = Feb2001 Prediction Error = -2 Date_of_death = Jan2001 Prediction Error = 0 Date_of_death = Aug2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Jul2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Jul2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Jun2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Jun2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = May2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = May2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Apr2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Apr2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Mar2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Mar2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Feb2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Feb2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Jan2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Jan2019 2*STD = 2.7508 -2*STD = -2.751 Date_of_death = Dec2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Dec2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Nov2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Nov2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Oct2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Oct2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Sep2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Sep2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Aug2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Aug2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Jul2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Jul2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Jun2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Jun2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = May2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = May2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Apr2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Apr2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Mar2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Mar2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Feb2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Feb2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Jan2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Jan2018 2*STD = 2.7546 -2*STD = -2.755 Date_of_death = Dec2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Dec2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Nov2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Nov2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Oct2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Oct2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Sep2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Sep2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Aug2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Aug2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Jul2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Jul2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Jun2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Jun2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = May2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = May2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Apr2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Apr2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Mar2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Mar2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Feb2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Feb2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Jan2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Jan2017 2*STD = 2.7589 -2*STD = -2.759 Date_of_death = Dec2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Dec2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Nov2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Nov2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Oct2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Oct2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Sep2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Sep2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Aug2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Aug2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Jul2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Jul2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Jun2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Jun2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = May2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = May2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Apr2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Apr2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Mar2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Mar2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Feb2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Feb2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Jan2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Jan2016 2*STD = 2.7637 -2*STD = -2.764 Date_of_death = Dec2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Dec2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Nov2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Nov2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Oct2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Oct2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Sep2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Sep2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Aug2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Aug2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Jul2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Jul2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Jun2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Jun2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = May2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = May2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Apr2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Apr2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Mar2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Mar2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Feb2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Feb2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Jan2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Jan2015 2*STD = 2.7691 -2*STD = -2.769 Date_of_death = Dec2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Dec2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Nov2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Nov2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Oct2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Oct2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Sep2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Sep2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Aug2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Aug2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Jul2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Jul2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Jun2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Jun2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = May2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = May2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Apr2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Apr2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Mar2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Mar2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Feb2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Feb2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Jan2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Jan2014 2*STD = 2.7753 -2*STD = -2.775 Date_of_death = Dec2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Dec2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Nov2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Nov2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Oct2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Oct2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Sep2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Sep2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Aug2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Aug2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Jul2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Jul2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Jun2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Jun2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = May2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = May2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Apr2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Apr2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Mar2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Mar2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Feb2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Feb2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Jan2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Jan2013 2*STD = 2.7824 -2*STD = -2.782 Date_of_death = Dec2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Dec2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Nov2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Nov2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Oct2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Oct2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Sep2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Sep2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Aug2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Aug2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Jul2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Jul2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Jun2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Jun2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = May2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = May2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Apr2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Apr2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Mar2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Mar2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Feb2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Feb2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Jan2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Jan2012 2*STD = 2.7907 -2*STD = -2.791 Date_of_death = Dec2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Dec2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Nov2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Nov2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Oct2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Oct2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Sep2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Sep2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Aug2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Aug2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Jul2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Jul2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Jun2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Jun2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = May2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = May2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Apr2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Apr2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Mar2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Mar2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Feb2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Feb2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Jan2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Jan2011 2*STD = 2.8004 -2*STD = -2.8 Date_of_death = Dec2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Dec2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Nov2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Nov2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Oct2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Oct2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Sep2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Sep2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Aug2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Aug2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Jul2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Jul2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Jun2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Jun2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = May2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = May2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Apr2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Apr2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Mar2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Mar2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Feb2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Feb2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Jan2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Jan2010 2*STD = 2.812 -2*STD = -2.812 Date_of_death = Dec2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Dec2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Nov2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Nov2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Oct2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Oct2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Sep2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Sep2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Aug2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Aug2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Jul2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Jul2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Jun2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Jun2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = May2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = May2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Apr2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Apr2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Mar2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Mar2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Feb2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Feb2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Jan2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Jan2009 2*STD = 2.8262 -2*STD = -2.826 Date_of_death = Dec2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Dec2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Nov2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Nov2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Oct2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Oct2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Sep2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Sep2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Aug2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Aug2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Jul2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Jul2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Jun2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Jun2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = May2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = May2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Apr2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Apr2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Mar2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Mar2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Feb2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Feb2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Jan2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Jan2008 2*STD = 2.8438 -2*STD = -2.844 Date_of_death = Dec2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Dec2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Nov2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Nov2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Oct2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Oct2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Sep2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Sep2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Aug2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Aug2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Jul2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Jul2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Jun2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Jun2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = May2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = May2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Apr2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Apr2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Mar2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Mar2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Feb2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Feb2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Jan2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Jan2007 2*STD = 2.8663 -2*STD = -2.866 Date_of_death = Dec2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Dec2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Nov2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Nov2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Oct2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Oct2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Sep2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Sep2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Aug2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Aug2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Jul2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Jul2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Jun2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Jun2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = May2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = May2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Apr2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Apr2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Mar2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Mar2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Feb2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Feb2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Jan2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Jan2006 2*STD = 2.896 -2*STD = -2.896 Date_of_death = Dec2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Dec2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Nov2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Nov2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Oct2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Oct2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Sep2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Sep2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Aug2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Aug2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Jul2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Jul2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Jun2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Jun2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = May2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = May2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Apr2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Apr2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Mar2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Mar2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Feb2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Feb2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Jan2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Jan2005 2*STD = 2.9371 -2*STD = -2.937 Date_of_death = Dec2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Dec2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Nov2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Nov2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Oct2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Oct2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Sep2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Sep2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Aug2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Aug2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Jul2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Jul2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Jun2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Jun2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = May2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = May2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Apr2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Apr2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Mar2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Mar2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Feb2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Feb2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Jan2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Jan2004 2*STD = 2.9976 -2*STD = -2.998 Date_of_death = Dec2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Dec2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Nov2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Nov2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Oct2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Oct2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Sep2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Sep2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Aug2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Aug2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Jul2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Jul2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Jun2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Jun2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = May2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = May2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Apr2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Apr2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Mar2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Mar2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Feb2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Feb2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Jan2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Jan2003 2*STD = 3.0959 -2*STD = -3.096 Date_of_death = Dec2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Dec2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Nov2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Nov2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Oct2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Oct2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Sep2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Sep2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Aug2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Aug2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Jul2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Jul2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Jun2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Jun2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = May2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = May2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Apr2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Apr2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Mar2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Mar2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Feb2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Feb2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Jan2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Jan2002 2*STD = 3.2837 -2*STD = -3.284 Date_of_death = Dec2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Dec2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Nov2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Nov2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Oct2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Oct2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Sep2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Sep2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Aug2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Aug2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Jul2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Jul2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Jun2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Jun2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = May2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = May2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Apr2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Apr2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Mar2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Mar2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Feb2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Feb2001 2*STD = 3.7917 -2*STD = -3.792 Date_of_death = Jan2001 2*STD = 3.7917 -2*STD = -3.792 Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error		 95% Confidence Limits
237 SEP2019 2.631579 1.37541 -0.064178 5.327336
238 OCT2019 2.684212 1.37541 -0.011545 5.379969
239 NOV2019 2.315789 1.37541 -0.379968 5.011546
240 DEC2019 3.263158 1.37541 0.567401 5.958915
241 JAN2020 3.050000 1.37369 0.357615 5.742385
242 FEB2020 2.750001 1.37369 0.057615 5.442386
243 MAR2020 2.500000 1.37369 -0.192385 5.192385
244 APR2020 2.499999 1.37369 -0.192386 5.192385
245 MAY2020 2.400000 1.37369 -0.292385 5.092386
246 JUN2020 2.250000 1.37369 -0.442385 4.942385
247 JUL2020 2.700000 1.37369 0.007615 5.392386
248 AUG2020 2.599999 1.37369 -0.092386 5.292385

Forecasts Only Plot

Date_of_death = Aug2020 Forecast = 2.6000 Date_of_death = Jul2020 Forecast = 2.7000 Date_of_death = Jul2020 Forecast = 2.7000 Date_of_death = Jun2020 Forecast = 2.2500 Date_of_death = Jun2020 Forecast = 2.2500 Date_of_death = May2020 Forecast = 2.4000 Date_of_death = May2020 Forecast = 2.4000 Date_of_death = Apr2020 Forecast = 2.5000 Date_of_death = Apr2020 Forecast = 2.5000 Date_of_death = Mar2020 Forecast = 2.5000 Date_of_death = Mar2020 Forecast = 2.5000 Date_of_death = Feb2020 Forecast = 2.7500 Date_of_death = Feb2020 Forecast = 2.7500 Date_of_death = Jan2020 Forecast = 3.0500 Date_of_death = Jan2020 Forecast = 3.0500 Date_of_death = Dec2019 Forecast = 3.2632 Date_of_death = Dec2019 Forecast = 3.2632 Date_of_death = Nov2019 Forecast = 2.3158 Date_of_death = Nov2019 Forecast = 2.3158 Date_of_death = Oct2019 Forecast = 2.6842 Date_of_death = Oct2019 Forecast = 2.6842 Date_of_death = Sep2019 Forecast = 2.6316 Date_of_death = Aug2020 Upper 95% = 5.2924 Lower 95% = -0.0924 Date_of_death = Jul2020 Upper 95% = 5.3924 Lower 95% = 0.0076 Date_of_death = Jul2020 Upper 95% = 5.3924 Lower 95% = 0.0076 Date_of_death = Jun2020 Upper 95% = 4.9424 Lower 95% = -0.4424 Date_of_death = Jun2020 Upper 95% = 4.9424 Lower 95% = -0.4424 Date_of_death = May2020 Upper 95% = 5.0924 Lower 95% = -0.2924 Date_of_death = May2020 Upper 95% = 5.0924 Lower 95% = -0.2924 Date_of_death = Apr2020 Upper 95% = 5.1924 Lower 95% = -0.1924 Date_of_death = Apr2020 Upper 95% = 5.1924 Lower 95% = -0.1924 Date_of_death = Mar2020 Upper 95% = 5.1924 Lower 95% = -0.1924 Date_of_death = Mar2020 Upper 95% = 5.1924 Lower 95% = -0.1924 Date_of_death = Feb2020 Upper 95% = 5.4424 Lower 95% = 0.0576 Date_of_death = Feb2020 Upper 95% = 5.4424 Lower 95% = 0.0576 Date_of_death = Jan2020 Upper 95% = 5.7424 Lower 95% = 0.3576 Date_of_death = Jan2020 Upper 95% = 5.7424 Lower 95% = 0.3576 Date_of_death = Dec2019 Upper 95% = 5.9589 Lower 95% = 0.5674 Date_of_death = Dec2019 Upper 95% = 5.9589 Lower 95% = 0.5674 Date_of_death = Nov2019 Upper 95% = 5.0115 Lower 95% = -0.3800 Date_of_death = Nov2019 Upper 95% = 5.0115 Lower 95% = -0.3800 Date_of_death = Oct2019 Upper 95% = 5.3800 Lower 95% = -0.0115 Date_of_death = Oct2019 Upper 95% = 5.3800 Lower 95% = -0.0115 Date_of_death = Sep2019 Upper 95% = 5.3273 Lower 95% = -0.0642
Forecast Only Plot

Forecasts Plot

X = 21762 Date_of_death = Aug2020 Forecast = 2.6000 Date_of_death = Jul2020 Forecast = 2.7000 Date_of_death = Jul2020 Forecast = 2.7000 Date_of_death = Jun2020 Forecast = 2.2500 Date_of_death = Jun2020 Forecast = 2.2500 Date_of_death = May2020 Forecast = 2.4000 Date_of_death = May2020 Forecast = 2.4000 Date_of_death = Apr2020 Forecast = 2.5000 Date_of_death = Apr2020 Forecast = 2.5000 Date_of_death = Mar2020 Forecast = 2.5000 Date_of_death = Mar2020 Forecast = 2.5000 Date_of_death = Feb2020 Forecast = 2.7500 Date_of_death = Feb2020 Forecast = 2.7500 Date_of_death = Jan2020 Forecast = 3.0500 Date_of_death = Jan2020 Forecast = 3.0500 Date_of_death = Dec2019 Forecast = 3.2632 Date_of_death = Dec2019 Forecast = 3.2632 Date_of_death = Nov2019 Forecast = 2.3158 Date_of_death = Nov2019 Forecast = 2.3158 Date_of_death = Oct2019 Forecast = 2.6842 Date_of_death = Oct2019 Forecast = 2.6842 Date_of_death = Sep2019 Forecast = 2.6316 Date_of_death = Sep2019 Forecast = 2.6316 Date_of_death = Aug2019 Forecast = 2.6842 Date_of_death = Aug2019 Forecast = 2.6842 Date_of_death = Jul2019 Forecast = 2.6316 Date_of_death = Jul2019 Forecast = 2.6316 Date_of_death = Jun2019 Forecast = 2.2105 Date_of_death = Jun2019 Forecast = 2.2105 Date_of_death = May2019 Forecast = 2.3158 Date_of_death = May2019 Forecast = 2.3158 Date_of_death = Apr2019 Forecast = 2.5789 Date_of_death = Apr2019 Forecast = 2.5789 Date_of_death = Mar2019 Forecast = 2.4211 Date_of_death = Mar2019 Forecast = 2.4211 Date_of_death = Feb2019 Forecast = 2.8421 Date_of_death = Feb2019 Forecast = 2.8421 Date_of_death = Jan2019 Forecast = 3.1579 Date_of_death = Jan2019 Forecast = 3.1579 Date_of_death = Dec2018 Forecast = 3.2222 Date_of_death = Dec2018 Forecast = 3.2222 Date_of_death = Nov2018 Forecast = 2.3889 Date_of_death = Nov2018 Forecast = 2.3889 Date_of_death = Oct2018 Forecast = 2.6111 Date_of_death = Oct2018 Forecast = 2.6111 Date_of_death = Sep2018 Forecast = 2.5556 Date_of_death = Sep2018 Forecast = 2.5556 Date_of_death = Aug2018 Forecast = 2.7778 Date_of_death = Aug2018 Forecast = 2.7778 Date_of_death = Jul2018 Forecast = 2.5556 Date_of_death = Jul2018 Forecast = 2.5556 Date_of_death = Jun2018 Forecast = 2.2778 Date_of_death = Jun2018 Forecast = 2.2778 Date_of_death = May2018 Forecast = 2.3889 Date_of_death = May2018 Forecast = 2.3889 Date_of_death = Apr2018 Forecast = 2.5000 Date_of_death = Apr2018 Forecast = 2.5000 Date_of_death = Mar2018 Forecast = 2.5000 Date_of_death = Mar2018 Forecast = 2.5000 Date_of_death = Feb2018 Forecast = 2.7778 Date_of_death = Feb2018 Forecast = 2.7778 Date_of_death = Jan2018 Forecast = 3.1111 Date_of_death = Jan2018 Forecast = 3.1111 Date_of_death = Dec2017 Forecast = 3.2941 Date_of_death = Dec2017 Forecast = 3.2941 Date_of_death = Nov2017 Forecast = 2.2941 Date_of_death = Nov2017 Forecast = 2.2941 Date_of_death = Oct2017 Forecast = 2.5294 Date_of_death = Oct2017 Forecast = 2.5294 Date_of_death = Sep2017 Forecast = 2.5882 Date_of_death = Sep2017 Forecast = 2.5882 Date_of_death = Aug2017 Forecast = 2.8235 Date_of_death = Aug2017 Forecast = 2.8235 Date_of_death = Jul2017 Forecast = 2.6471 Date_of_death = Jul2017 Forecast = 2.6471 Date_of_death = Jun2017 Forecast = 2.3529 Date_of_death = Jun2017 Forecast = 2.3529 Date_of_death = May2017 Forecast = 2.3529 Date_of_death = May2017 Forecast = 2.3529 Date_of_death = Apr2017 Forecast = 2.5882 Date_of_death = Apr2017 Forecast = 2.5882 Date_of_death = Mar2017 Forecast = 2.5294 Date_of_death = Mar2017 Forecast = 2.5294 Date_of_death = Feb2017 Forecast = 2.7059 Date_of_death = Feb2017 Forecast = 2.7059 Date_of_death = Jan2017 Forecast = 3.0588 Date_of_death = Jan2017 Forecast = 3.0588 Date_of_death = Dec2016 Forecast = 3.2500 Date_of_death = Dec2016 Forecast = 3.2500 Date_of_death = Nov2016 Forecast = 2.3125 Date_of_death = Nov2016 Forecast = 2.3125 Date_of_death = Oct2016 Forecast = 2.4375 Date_of_death = Oct2016 Forecast = 2.4375 Date_of_death = Sep2016 Forecast = 2.6875 Date_of_death = Sep2016 Forecast = 2.6875 Date_of_death = Aug2016 Forecast = 2.8125 Date_of_death = Aug2016 Forecast = 2.8125 Date_of_death = Jul2016 Forecast = 2.5625 Date_of_death = Jul2016 Forecast = 2.5625 Date_of_death = Jun2016 Forecast = 2.4375 Date_of_death = Jun2016 Forecast = 2.4375 Date_of_death = May2016 Forecast = 2.4375 Date_of_death = May2016 Forecast = 2.4375 Date_of_death = Apr2016 Forecast = 2.5000 Date_of_death = Apr2016 Forecast = 2.5000 Date_of_death = Mar2016 Forecast = 2.4375 Date_of_death = Mar2016 Forecast = 2.4375 Date_of_death = Feb2016 Forecast = 2.6250 Date_of_death = Feb2016 Forecast = 2.6250 Date_of_death = Jan2016 Forecast = 3.1250 Date_of_death = Jan2016 Forecast = 3.1250 Date_of_death = Dec2015 Forecast = 3.2000 Date_of_death = Dec2015 Forecast = 3.2000 Date_of_death = Nov2015 Forecast = 2.4000 Date_of_death = Nov2015 Forecast = 2.4000 Date_of_death = Oct2015 Forecast = 2.4000 Date_of_death = Oct2015 Forecast = 2.4000 Date_of_death = Sep2015 Forecast = 2.8000 Date_of_death = Sep2015 Forecast = 2.8000 Date_of_death = Aug2015 Forecast = 2.8667 Date_of_death = Aug2015 Forecast = 2.8667 Date_of_death = Jul2015 Forecast = 2.6667 Date_of_death = Jul2015 Forecast = 2.6667 Date_of_death = Jun2015 Forecast = 2.3333 Date_of_death = Jun2015 Forecast = 2.3333 Date_of_death = May2015 Forecast = 2.4667 Date_of_death = May2015 Forecast = 2.4667 Date_of_death = Apr2015 Forecast = 2.6000 Date_of_death = Apr2015 Forecast = 2.6000 Date_of_death = Mar2015 Forecast = 2.5333 Date_of_death = Mar2015 Forecast = 2.5333 Date_of_death = Feb2015 Forecast = 2.5333 Date_of_death = Feb2015 Forecast = 2.5333 Date_of_death = Jan2015 Forecast = 3.0667 Date_of_death = Jan2015 Forecast = 3.0667 Date_of_death = Dec2014 Forecast = 3.1429 Date_of_death = Dec2014 Forecast = 3.1429 Date_of_death = Nov2014 Forecast = 2.5000 Date_of_death = Nov2014 Forecast = 2.5000 Date_of_death = Oct2014 Forecast = 2.2857 Date_of_death = Oct2014 Forecast = 2.2857 Date_of_death = Sep2014 Forecast = 2.7143 Date_of_death = Sep2014 Forecast = 2.7143 Date_of_death = Aug2014 Forecast = 2.7857 Date_of_death = Aug2014 Forecast = 2.7857 Date_of_death = Jul2014 Forecast = 2.7857 Date_of_death = Jul2014 Forecast = 2.7857 Date_of_death = Jun2014 Forecast = 2.2143 Date_of_death = Jun2014 Forecast = 2.2143 Date_of_death = May2014 Forecast = 2.3571 Date_of_death = May2014 Forecast = 2.3571 Date_of_death = Apr2014 Forecast = 2.7143 Date_of_death = Apr2014 Forecast = 2.7143 Date_of_death = Mar2014 Forecast = 2.4286 Date_of_death = Mar2014 Forecast = 2.4286 Date_of_death = Feb2014 Forecast = 2.5714 Date_of_death = Feb2014 Forecast = 2.5714 Date_of_death = Jan2014 Forecast = 3.0714 Date_of_death = Jan2014 Forecast = 3.0714 Date_of_death = Dec2013 Forecast = 3.0769 Date_of_death = Dec2013 Forecast = 3.0769 Date_of_death = Nov2013 Forecast = 2.3846 Date_of_death = Nov2013 Forecast = 2.3846 Date_of_death = Oct2013 Forecast = 2.3846 Date_of_death = Oct2013 Forecast = 2.3846 Date_of_death = Sep2013 Forecast = 2.6154 Date_of_death = Sep2013 Forecast = 2.6154 Date_of_death = Aug2013 Forecast = 2.9231 Date_of_death = Aug2013 Forecast = 2.9231 Date_of_death = Jul2013 Forecast = 2.6923 Date_of_death = Jul2013 Forecast = 2.6923 Date_of_death = Jun2013 Forecast = 2.2308 Date_of_death = Jun2013 Forecast = 2.2308 Date_of_death = May2013 Forecast = 2.3846 Date_of_death = May2013 Forecast = 2.3846 Date_of_death = Apr2013 Forecast = 2.8462 Date_of_death = Apr2013 Forecast = 2.8462 Date_of_death = Mar2013 Forecast = 2.3077 Date_of_death = Mar2013 Forecast = 2.3077 Date_of_death = Feb2013 Forecast = 2.4615 Date_of_death = Feb2013 Forecast = 2.4615 Date_of_death = Jan2013 Forecast = 3.1538 Date_of_death = Jan2013 Forecast = 3.1538 Date_of_death = Dec2012 Forecast = 3.2500 Date_of_death = Dec2012 Forecast = 3.2500 Date_of_death = Nov2012 Forecast = 2.5000 Date_of_death = Nov2012 Forecast = 2.5000 Date_of_death = Oct2012 Forecast = 2.5000 Date_of_death = Oct2012 Forecast = 2.5000 Date_of_death = Sep2012 Forecast = 2.6667 Date_of_death = Sep2012 Forecast = 2.6667 Date_of_death = Aug2012 Forecast = 2.8333 Date_of_death = Aug2012 Forecast = 2.8333 Date_of_death = Jul2012 Forecast = 2.8333 Date_of_death = Jul2012 Forecast = 2.8333 Date_of_death = Jun2012 Forecast = 2.3333 Date_of_death = Jun2012 Forecast = 2.3333 Date_of_death = May2012 Forecast = 2.5000 Date_of_death = May2012 Forecast = 2.5000 Date_of_death = Apr2012 Forecast = 2.7500 Date_of_death = Apr2012 Forecast = 2.7500 Date_of_death = Mar2012 Forecast = 2.4167 Date_of_death = Mar2012 Forecast = 2.4167 Date_of_death = Feb2012 Forecast = 2.3333 Date_of_death = Feb2012 Forecast = 2.3333 Date_of_death = Jan2012 Forecast = 3.0833 Date_of_death = Jan2012 Forecast = 3.0833 Date_of_death = Dec2011 Forecast = 3.4545 Date_of_death = Dec2011 Forecast = 3.4545 Date_of_death = Nov2011 Forecast = 2.5455 Date_of_death = Nov2011 Forecast = 2.5455 Date_of_death = Oct2011 Forecast = 2.3636 Date_of_death = Oct2011 Forecast = 2.3636 Date_of_death = Sep2011 Forecast = 2.5455 Date_of_death = Sep2011 Forecast = 2.5455 Date_of_death = Aug2011 Forecast = 2.8182 Date_of_death = Aug2011 Forecast = 2.8182 Date_of_death = Jul2011 Forecast = 2.7273 Date_of_death = Jul2011 Forecast = 2.7273 Date_of_death = Jun2011 Forecast = 2.4545 Date_of_death = Jun2011 Forecast = 2.4545 Date_of_death = May2011 Forecast = 2.3636 Date_of_death = May2011 Forecast = 2.3636 Date_of_death = Apr2011 Forecast = 2.9091 Date_of_death = Apr2011 Forecast = 2.9091 Date_of_death = Mar2011 Forecast = 2.3636 Date_of_death = Mar2011 Forecast = 2.3636 Date_of_death = Feb2011 Forecast = 2.4545 Date_of_death = Feb2011 Forecast = 2.4545 Date_of_death = Jan2011 Forecast = 3.0000 Date_of_death = Jan2011 Forecast = 3.0000 Date_of_death = Dec2010 Forecast = 3.4000 Date_of_death = Dec2010 Forecast = 3.4000 Date_of_death = Nov2010 Forecast = 2.4000 Date_of_death = Nov2010 Forecast = 2.4000 Date_of_death = Oct2010 Forecast = 2.2000 Date_of_death = Oct2010 Forecast = 2.2000 Date_of_death = Sep2010 Forecast = 2.4000 Date_of_death = Sep2010 Forecast = 2.4000 Date_of_death = Aug2010 Forecast = 2.7000 Date_of_death = Aug2010 Forecast = 2.7000 Date_of_death = Jul2010 Forecast = 2.8000 Date_of_death = Jul2010 Forecast = 2.8000 Date_of_death = Jun2010 Forecast = 2.6000 Date_of_death = Jun2010 Forecast = 2.6000 Date_of_death = May2010 Forecast = 2.5000 Date_of_death = May2010 Forecast = 2.5000 Date_of_death = Apr2010 Forecast = 2.9000 Date_of_death = Apr2010 Forecast = 2.9000 Date_of_death = Mar2010 Forecast = 2.5000 Date_of_death = Mar2010 Forecast = 2.5000 Date_of_death = Feb2010 Forecast = 2.3000 Date_of_death = Feb2010 Forecast = 2.3000 Date_of_death = Jan2010 Forecast = 2.9000 Date_of_death = Jan2010 Forecast = 2.9000 Date_of_death = Dec2009 Forecast = 3.3333 Date_of_death = Dec2009 Forecast = 3.3333 Date_of_death = Nov2009 Forecast = 2.2222 Date_of_death = Nov2009 Forecast = 2.2222 Date_of_death = Oct2009 Forecast = 2.2222 Date_of_death = Oct2009 Forecast = 2.2222 Date_of_death = Sep2009 Forecast = 2.5556 Date_of_death = Sep2009 Forecast = 2.5556 Date_of_death = Aug2009 Forecast = 2.7778 Date_of_death = Aug2009 Forecast = 2.7778 Date_of_death = Jul2009 Forecast = 2.8889 Date_of_death = Jul2009 Forecast = 2.8889 Date_of_death = Jun2009 Forecast = 2.4444 Date_of_death = Jun2009 Forecast = 2.4444 Date_of_death = May2009 Forecast = 2.3333 Date_of_death = May2009 Forecast = 2.3333 Date_of_death = Apr2009 Forecast = 2.7778 Date_of_death = Apr2009 Forecast = 2.7778 Date_of_death = Mar2009 Forecast = 2.4444 Date_of_death = Mar2009 Forecast = 2.4444 Date_of_death = Feb2009 Forecast = 2.1111 Date_of_death = Feb2009 Forecast = 2.1111 Date_of_death = Jan2009 Forecast = 2.7778 Date_of_death = Jan2009 Forecast = 2.7778 Date_of_death = Dec2008 Forecast = 3.2500 Date_of_death = Dec2008 Forecast = 3.2500 Date_of_death = Nov2008 Forecast = 2.0000 Date_of_death = Nov2008 Forecast = 2.0000 Date_of_death = Oct2008 Forecast = 2.0000 Date_of_death = Oct2008 Forecast = 2.0000 Date_of_death = Sep2008 Forecast = 2.7500 Date_of_death = Sep2008 Forecast = 2.7500 Date_of_death = Aug2008 Forecast = 2.6250 Date_of_death = Aug2008 Forecast = 2.6250 Date_of_death = Jul2008 Forecast = 3.0000 Date_of_death = Jul2008 Forecast = 3.0000 Date_of_death = Jun2008 Forecast = 2.2500 Date_of_death = Jun2008 Forecast = 2.2500 Date_of_death = May2008 Forecast = 2.5000 Date_of_death = May2008 Forecast = 2.5000 Date_of_death = Apr2008 Forecast = 2.6250 Date_of_death = Apr2008 Forecast = 2.6250 Date_of_death = Mar2008 Forecast = 2.2500 Date_of_death = Mar2008 Forecast = 2.2500 Date_of_death = Feb2008 Forecast = 2.2500 Date_of_death = Feb2008 Forecast = 2.2500 Date_of_death = Jan2008 Forecast = 2.6250 Date_of_death = Jan2008 Forecast = 2.6250 Date_of_death = Dec2007 Forecast = 3.4286 Date_of_death = Dec2007 Forecast = 3.4286 Date_of_death = Nov2007 Forecast = 1.7143 Date_of_death = Nov2007 Forecast = 1.7143 Date_of_death = Oct2007 Forecast = 1.7143 Date_of_death = Oct2007 Forecast = 1.7143 Date_of_death = Sep2007 Forecast = 2.5714 Date_of_death = Sep2007 Forecast = 2.5714 Date_of_death = Aug2007 Forecast = 2.5714 Date_of_death = Aug2007 Forecast = 2.5714 Date_of_death = Jul2007 Forecast = 3.2857 Date_of_death = Jul2007 Forecast = 3.2857 Date_of_death = Jun2007 Forecast = 2.0000 Date_of_death = Jun2007 Forecast = 2.0000 Date_of_death = May2007 Forecast = 2.7143 Date_of_death = May2007 Forecast = 2.7143 Date_of_death = Apr2007 Forecast = 2.8571 Date_of_death = Apr2007 Forecast = 2.8571 Date_of_death = Mar2007 Forecast = 2.4286 Date_of_death = Mar2007 Forecast = 2.4286 Date_of_death = Feb2007 Forecast = 2.4286 Date_of_death = Feb2007 Forecast = 2.4286 Date_of_death = Jan2007 Forecast = 2.4286 Date_of_death = Jan2007 Forecast = 2.4286 Date_of_death = Dec2006 Forecast = 3.6667 Date_of_death = Dec2006 Forecast = 3.6667 Date_of_death = Nov2006 Forecast = 1.8333 Date_of_death = Nov2006 Forecast = 1.8333 Date_of_death = Oct2006 Forecast = 1.8333 Date_of_death = Oct2006 Forecast = 1.8333 Date_of_death = Sep2006 Forecast = 2.8333 Date_of_death = Sep2006 Forecast = 2.8333 Date_of_death = Aug2006 Forecast = 2.6667 Date_of_death = Aug2006 Forecast = 2.6667 Date_of_death = Jul2006 Forecast = 3.1667 Date_of_death = Jul2006 Forecast = 3.1667 Date_of_death = Jun2006 Forecast = 2.1667 Date_of_death = Jun2006 Forecast = 2.1667 Date_of_death = May2006 Forecast = 3.0000 Date_of_death = May2006 Forecast = 3.0000 Date_of_death = Apr2006 Forecast = 2.6667 Date_of_death = Apr2006 Forecast = 2.6667 Date_of_death = Mar2006 Forecast = 2.6667 Date_of_death = Mar2006 Forecast = 2.6667 Date_of_death = Feb2006 Forecast = 2.5000 Date_of_death = Feb2006 Forecast = 2.5000 Date_of_death = Jan2006 Forecast = 2.6667 Date_of_death = Jan2006 Forecast = 2.6667 Date_of_death = Dec2005 Forecast = 4.0000 Date_of_death = Dec2005 Forecast = 4.0000 Date_of_death = Nov2005 Forecast = 1.8000 Date_of_death = Nov2005 Forecast = 1.8000 Date_of_death = Oct2005 Forecast = 1.8000 Date_of_death = Oct2005 Forecast = 1.8000 Date_of_death = Sep2005 Forecast = 3.2000 Date_of_death = Sep2005 Forecast = 3.2000 Date_of_death = Aug2005 Forecast = 2.4000 Date_of_death = Aug2005 Forecast = 2.4000 Date_of_death = Jul2005 Forecast = 3.4000 Date_of_death = Jul2005 Forecast = 3.4000 Date_of_death = Jun2005 Forecast = 2.4000 Date_of_death = Jun2005 Forecast = 2.4000 Date_of_death = May2005 Forecast = 3.2000 Date_of_death = May2005 Forecast = 3.2000 Date_of_death = Apr2005 Forecast = 3.0000 Date_of_death = Apr2005 Forecast = 3.0000 Date_of_death = Mar2005 Forecast = 2.8000 Date_of_death = Mar2005 Forecast = 2.8000 Date_of_death = Feb2005 Forecast = 2.2000 Date_of_death = Feb2005 Forecast = 2.2000 Date_of_death = Jan2005 Forecast = 2.4000 Date_of_death = Jan2005 Forecast = 2.4000 Date_of_death = Dec2004 Forecast = 4.0000 Date_of_death = Dec2004 Forecast = 4.0000 Date_of_death = Nov2004 Forecast = 2.0000 Date_of_death = Nov2004 Forecast = 2.0000 Date_of_death = Oct2004 Forecast = 2.0000 Date_of_death = Oct2004 Forecast = 2.0000 Date_of_death = Sep2004 Forecast = 3.0000 Date_of_death = Sep2004 Forecast = 3.0000 Date_of_death = Aug2004 Forecast = 2.5000 Date_of_death = Aug2004 Forecast = 2.5000 Date_of_death = Jul2004 Forecast = 3.2500 Date_of_death = Jul2004 Forecast = 3.2500 Date_of_death = Jun2004 Forecast = 2.0000 Date_of_death = Jun2004 Forecast = 2.0000 Date_of_death = May2004 Forecast = 3.0000 Date_of_death = May2004 Forecast = 3.0000 Date_of_death = Apr2004 Forecast = 2.7500 Date_of_death = Apr2004 Forecast = 2.7500 Date_of_death = Mar2004 Forecast = 2.5000 Date_of_death = Mar2004 Forecast = 2.5000 Date_of_death = Feb2004 Forecast = 2.5000 Date_of_death = Feb2004 Forecast = 2.5000 Date_of_death = Jan2004 Forecast = 2.5000 Date_of_death = Jan2004 Forecast = 2.5000 Date_of_death = Dec2003 Forecast = 4.0000 Date_of_death = Dec2003 Forecast = 4.0000 Date_of_death = Nov2003 Forecast = 2.3333 Date_of_death = Nov2003 Forecast = 2.3333 Date_of_death = Oct2003 Forecast = 2.0000 Date_of_death = Oct2003 Forecast = 2.0000 Date_of_death = Sep2003 Forecast = 3.3333 Date_of_death = Sep2003 Forecast = 3.3333 Date_of_death = Aug2003 Forecast = 3.0000 Date_of_death = Aug2003 Forecast = 3.0000 Date_of_death = Jul2003 Forecast = 3.0000 Date_of_death = Jul2003 Forecast = 3.0000 Date_of_death = Jun2003 Forecast = 2.3333 Date_of_death = Jun2003 Forecast = 2.3333 Date_of_death = May2003 Forecast = 3.6667 Date_of_death = May2003 Forecast = 3.6667 Date_of_death = Apr2003 Forecast = 3.3333 Date_of_death = Apr2003 Forecast = 3.3333 Date_of_death = Mar2003 Forecast = 2.0000 Date_of_death = Mar2003 Forecast = 2.0000 Date_of_death = Feb2003 Forecast = 2.6667 Date_of_death = Feb2003 Forecast = 2.6667 Date_of_death = Jan2003 Forecast = 2.0000 Date_of_death = Jan2003 Forecast = 2.0000 Date_of_death = Dec2002 Forecast = 4.0000 Date_of_death = Dec2002 Forecast = 4.0000 Date_of_death = Nov2002 Forecast = 1.5000 Date_of_death = Nov2002 Forecast = 1.5000 Date_of_death = Oct2002 Forecast = 2.5000 Date_of_death = Oct2002 Forecast = 2.5000 Date_of_death = Sep2002 Forecast = 3.0000 Date_of_death = Sep2002 Forecast = 3.0000 Date_of_death = Aug2002 Forecast = 2.5000 Date_of_death = Aug2002 Forecast = 2.5000 Date_of_death = Jul2002 Forecast = 2.5000 Date_of_death = Jul2002 Forecast = 2.5000 Date_of_death = Jun2002 Forecast = 2.5000 Date_of_death = Jun2002 Forecast = 2.5000 Date_of_death = May2002 Forecast = 3.5000 Date_of_death = May2002 Forecast = 3.5000 Date_of_death = Apr2002 Forecast = 3.0000 Date_of_death = Apr2002 Forecast = 3.0000 Date_of_death = Mar2002 Forecast = 2.0000 Date_of_death = Mar2002 Forecast = 2.0000 Date_of_death = Feb2002 Forecast = 3.0000 Date_of_death = Feb2002 Forecast = 3.0000 Date_of_death = Jan2002 Forecast = 1.0000 Date_of_death = Jan2002 Forecast = 1.0000 Date_of_death = Dec2001 Forecast = 4.0000 Date_of_death = Dec2001 Forecast = 4.0000 Date_of_death = Nov2001 Forecast = 2.0000 Date_of_death = Nov2001 Forecast = 2.0000 Date_of_death = Oct2001 Forecast = 4.0000 Date_of_death = Oct2001 Forecast = 4.0000 Date_of_death = Sep2001 Forecast = 2.0000 Date_of_death = Sep2001 Forecast = 2.0000 Date_of_death = Aug2001 Forecast = 4.0000 Date_of_death = Aug2001 Forecast = 4.0000 Date_of_death = Jul2001 Forecast = 1.0000 Date_of_death = Jul2001 Forecast = 1.0000 Date_of_death = Jun2001 Forecast = 4.0000 Date_of_death = Jun2001 Forecast = 4.0000 Date_of_death = May2001 Forecast = 4.0000 Date_of_death = May2001 Forecast = 4.0000 Date_of_death = Apr2001 Forecast = 4.0000 Date_of_death = Apr2001 Forecast = 4.0000 Date_of_death = Mar2001 Forecast = 1.0000 Date_of_death = Mar2001 Forecast = 1.0000 Date_of_death = Feb2001 Forecast = 4.0000 Date_of_death = Feb2001 Forecast = 4.0000 Date_of_death = Jan2001 Forecast = 1.0000 Date_of_death = Aug2019 incidents = 1.0000 Date_of_death = Jul2019 incidents = 4.0000 Date_of_death = Jun2019 incidents = 3.0000 Date_of_death = May2019 incidents = 4.0000 Date_of_death = Apr2019 incidents = 1.0000 Date_of_death = Mar2019 incidents = 4.0000 Date_of_death = Feb2019 incidents = 1.0000 Date_of_death = Jan2019 incidents = 1.0000 Date_of_death = Dec2018 incidents = 4.0000 Date_of_death = Nov2018 incidents = 1.0000 Date_of_death = Oct2018 incidents = 4.0000 Date_of_death = Sep2018 incidents = 4.0000 Date_of_death = Aug2018 incidents = 1.0000 Date_of_death = Jul2018 incidents = 4.0000 Date_of_death = Jun2018 incidents = 1.0000 Date_of_death = May2018 incidents = 1.0000 Date_of_death = Apr2018 incidents = 4.0000 Date_of_death = Mar2018 incidents = 1.0000 Date_of_death = Feb2018 incidents = 4.0000 Date_of_death = Jan2018 incidents = 4.0000 Date_of_death = Dec2017 incidents = 2.0000 Date_of_death = Nov2017 incidents = 4.0000 Date_of_death = Oct2017 incidents = 4.0000 Date_of_death = Sep2017 incidents = 2.0000 Date_of_death = Aug2017 incidents = 2.0000 Date_of_death = Jul2017 incidents = 1.0000 Date_of_death = Jun2017 incidents = 1.0000 Date_of_death = May2017 incidents = 3.0000 Date_of_death = Apr2017 incidents = 1.0000 Date_of_death = Mar2017 incidents = 2.0000 Date_of_death = Feb2017 incidents = 4.0000 Date_of_death = Jan2017 incidents = 4.0000 Date_of_death = Dec2016 incidents = 4.0000 Date_of_death = Nov2016 incidents = 2.0000 Date_of_death = Oct2016 incidents = 4.0000 Date_of_death = Sep2016 incidents = 1.0000 Date_of_death = Aug2016 incidents = 3.0000 Date_of_death = Jul2016 incidents = 4.0000 Date_of_death = Jun2016 incidents = 1.0000 Date_of_death = May2016 incidents = 1.0000 Date_of_death = Apr2016 incidents = 4.0000 Date_of_death = Mar2016 incidents = 4.0000 Date_of_death = Feb2016 incidents = 4.0000 Date_of_death = Jan2016 incidents = 2.0000 Date_of_death = Dec2015 incidents = 4.0000 Date_of_death = Nov2015 incidents = 1.0000 Date_of_death = Oct2015 incidents = 3.0000 Date_of_death = Sep2015 incidents = 1.0000 Date_of_death = Aug2015 incidents = 2.0000 Date_of_death = Jul2015 incidents = 1.0000 Date_of_death = Jun2015 incidents = 4.0000 Date_of_death = May2015 incidents = 2.0000 Date_of_death = Apr2015 incidents = 1.0000 Date_of_death = Mar2015 incidents = 1.0000 Date_of_death = Feb2015 incidents = 4.0000 Date_of_death = Jan2015 incidents = 4.0000 Date_of_death = Dec2014 incidents = 4.0000 Date_of_death = Nov2014 incidents = 1.0000 Date_of_death = Oct2014 incidents = 4.0000 Date_of_death = Sep2014 incidents = 4.0000 Date_of_death = Aug2014 incidents = 4.0000 Date_of_death = Jul2014 incidents = 1.0000 Date_of_death = Jun2014 incidents = 4.0000 Date_of_death = May2014 incidents = 4.0000 Date_of_death = Apr2014 incidents = 1.0000 Date_of_death = Mar2014 incidents = 4.0000 Date_of_death = Feb2014 incidents = 2.0000 Date_of_death = Jan2014 incidents = 3.0000 Date_of_death = Dec2013 incidents = 4.0000 Date_of_death = Nov2013 incidents = 4.0000 Date_of_death = Oct2013 incidents = 1.0000 Date_of_death = Sep2013 incidents = 4.0000 Date_of_death = Aug2013 incidents = 1.0000 Date_of_death = Jul2013 incidents = 4.0000 Date_of_death = Jun2013 incidents = 2.0000 Date_of_death = May2013 incidents = 2.0000 Date_of_death = Apr2013 incidents = 1.0000 Date_of_death = Mar2013 incidents = 4.0000 Date_of_death = Feb2013 incidents = 4.0000 Date_of_death = Jan2013 incidents = 2.0000 Date_of_death = Dec2012 incidents = 1.0000 Date_of_death = Nov2012 incidents = 1.0000 Date_of_death = Oct2012 incidents = 1.0000 Date_of_death = Sep2012 incidents = 2.0000 Date_of_death = Aug2012 incidents = 4.0000 Date_of_death = Jul2012 incidents = 1.0000 Date_of_death = Jun2012 incidents = 1.0000 Date_of_death = May2012 incidents = 1.0000 Date_of_death = Apr2012 incidents = 4.0000 Date_of_death = Mar2012 incidents = 1.0000 Date_of_death = Feb2012 incidents = 4.0000 Date_of_death = Jan2012 incidents = 4.0000 Date_of_death = Dec2011 incidents = 1.0000 Date_of_death = Nov2011 incidents = 2.0000 Date_of_death = Oct2011 incidents = 4.0000 Date_of_death = Sep2011 incidents = 4.0000 Date_of_death = Aug2011 incidents = 3.0000 Date_of_death = Jul2011 incidents = 4.0000 Date_of_death = Jun2011 incidents = 1.0000 Date_of_death = May2011 incidents = 4.0000 Date_of_death = Apr2011 incidents = 1.0000 Date_of_death = Mar2011 incidents = 3.0000 Date_of_death = Feb2011 incidents = 1.0000 Date_of_death = Jan2011 incidents = 4.0000 Date_of_death = Dec2010 incidents = 4.0000 Date_of_death = Nov2010 incidents = 4.0000 Date_of_death = Oct2010 incidents = 4.0000 Date_of_death = Sep2010 incidents = 4.0000 Date_of_death = Aug2010 incidents = 4.0000 Date_of_death = Jul2010 incidents = 2.0000 Date_of_death = Jun2010 incidents = 1.0000 Date_of_death = May2010 incidents = 1.0000 Date_of_death = Apr2010 incidents = 3.0000 Date_of_death = Mar2010 incidents = 1.0000 Date_of_death = Feb2010 incidents = 4.0000 Date_of_death = Jan2010 incidents = 4.0000 Date_of_death = Dec2009 incidents = 4.0000 Date_of_death = Nov2009 incidents = 4.0000 Date_of_death = Oct2009 incidents = 2.0000 Date_of_death = Sep2009 incidents = 1.0000 Date_of_death = Aug2009 incidents = 2.0000 Date_of_death = Jul2009 incidents = 2.0000 Date_of_death = Jun2009 incidents = 4.0000 Date_of_death = May2009 incidents = 4.0000 Date_of_death = Apr2009 incidents = 4.0000 Date_of_death = Mar2009 incidents = 3.0000 Date_of_death = Feb2009 incidents = 4.0000 Date_of_death = Jan2009 incidents = 4.0000 Date_of_death = Dec2008 incidents = 4.0000 Date_of_death = Nov2008 incidents = 4.0000 Date_of_death = Oct2008 incidents = 4.0000 Date_of_death = Sep2008 incidents = 1.0000 Date_of_death = Aug2008 incidents = 4.0000 Date_of_death = Jul2008 incidents = 2.0000 Date_of_death = Jun2008 incidents = 4.0000 Date_of_death = May2008 incidents = 1.0000 Date_of_death = Apr2008 incidents = 4.0000 Date_of_death = Mar2008 incidents = 4.0000 Date_of_death = Feb2008 incidents = 1.0000 Date_of_death = Jan2008 incidents = 4.0000 Date_of_death = Dec2007 incidents = 2.0000 Date_of_death = Nov2007 incidents = 4.0000 Date_of_death = Oct2007 incidents = 4.0000 Date_of_death = Sep2007 incidents = 4.0000 Date_of_death = Aug2007 incidents = 3.0000 Date_of_death = Jul2007 incidents = 1.0000 Date_of_death = Jun2007 incidents = 4.0000 Date_of_death = May2007 incidents = 1.0000 Date_of_death = Apr2007 incidents = 1.0000 Date_of_death = Mar2007 incidents = 1.0000 Date_of_death = Feb2007 incidents = 1.0000 Date_of_death = Jan2007 incidents = 4.0000 Date_of_death = Dec2006 incidents = 2.0000 Date_of_death = Nov2006 incidents = 1.0000 Date_of_death = Oct2006 incidents = 1.0000 Date_of_death = Sep2006 incidents = 1.0000 Date_of_death = Aug2006 incidents = 2.0000 Date_of_death = Jul2006 incidents = 4.0000 Date_of_death = Jun2006 incidents = 1.0000 Date_of_death = May2006 incidents = 1.0000 Date_of_death = Apr2006 incidents = 4.0000 Date_of_death = Mar2006 incidents = 1.0000 Date_of_death = Feb2006 incidents = 2.0000 Date_of_death = Jan2006 incidents = 1.0000 Date_of_death = Dec2005 incidents = 2.0000 Date_of_death = Nov2005 incidents = 2.0000 Date_of_death = Oct2005 incidents = 2.0000 Date_of_death = Sep2005 incidents = 1.0000 Date_of_death = Aug2005 incidents = 4.0000 Date_of_death = Jul2005 incidents = 2.0000 Date_of_death = Jun2005 incidents = 1.0000 Date_of_death = May2005 incidents = 2.0000 Date_of_death = Apr2005 incidents = 1.0000 Date_of_death = Mar2005 incidents = 2.0000 Date_of_death = Feb2005 incidents = 4.0000 Date_of_death = Jan2005 incidents = 4.0000 Date_of_death = Dec2004 incidents = 4.0000 Date_of_death = Nov2004 incidents = 1.0000 Date_of_death = Oct2004 incidents = 1.0000 Date_of_death = Sep2004 incidents = 4.0000 Date_of_death = Aug2004 incidents = 2.0000 Date_of_death = Jul2004 incidents = 4.0000 Date_of_death = Jun2004 incidents = 4.0000 Date_of_death = May2004 incidents = 4.0000 Date_of_death = Apr2004 incidents = 4.0000 Date_of_death = Mar2004 incidents = 4.0000 Date_of_death = Feb2004 incidents = 1.0000 Date_of_death = Jan2004 incidents = 2.0000 Date_of_death = Dec2003 incidents = 4.0000 Date_of_death = Nov2003 incidents = 1.0000 Date_of_death = Oct2003 incidents = 2.0000 Date_of_death = Sep2003 incidents = 2.0000 Date_of_death = Aug2003 incidents = 1.0000 Date_of_death = Jul2003 incidents = 4.0000 Date_of_death = Jun2003 incidents = 1.0000 Date_of_death = May2003 incidents = 1.0000 Date_of_death = Apr2003 incidents = 1.0000 Date_of_death = Mar2003 incidents = 4.0000 Date_of_death = Feb2003 incidents = 2.0000 Date_of_death = Jan2003 incidents = 4.0000 Date_of_death = Dec2002 incidents = 4.0000 Date_of_death = Nov2002 incidents = 4.0000 Date_of_death = Oct2002 incidents = 1.0000 Date_of_death = Sep2002 incidents = 4.0000 Date_of_death = Aug2002 incidents = 4.0000 Date_of_death = Jul2002 incidents = 4.0000 Date_of_death = Jun2002 incidents = 2.0000 Date_of_death = May2002 incidents = 4.0000 Date_of_death = Apr2002 incidents = 4.0000 Date_of_death = Mar2002 incidents = 2.0000 Date_of_death = Feb2002 incidents = 2.0000 Date_of_death = Jan2002 incidents = 4.0000 Date_of_death = Dec2001 incidents = 4.0000 Date_of_death = Nov2001 incidents = 1.0000 Date_of_death = Oct2001 incidents = 1.0000 Date_of_death = Sep2001 incidents = 4.0000 Date_of_death = Aug2001 incidents = 1.0000 Date_of_death = Jul2001 incidents = 4.0000 Date_of_death = Jun2001 incidents = 1.0000 Date_of_death = May2001 incidents = 3.0000 Date_of_death = Apr2001 incidents = 2.0000 Date_of_death = Mar2001 incidents = 3.0000 Date_of_death = Feb2001 incidents = 2.0000 Date_of_death = Jan2001 incidents = 1.0000 Date_of_death = Aug2020 Upper 95% = 5.2924 Lower 95% = -0.0924 Date_of_death = Jul2020 Upper 95% = 5.3924 Lower 95% = 0.0076 Date_of_death = Jul2020 Upper 95% = 5.3924 Lower 95% = 0.0076 Date_of_death = Jun2020 Upper 95% = 4.9424 Lower 95% = -0.4424 Date_of_death = Jun2020 Upper 95% = 4.9424 Lower 95% = -0.4424 Date_of_death = May2020 Upper 95% = 5.0924 Lower 95% = -0.2924 Date_of_death = May2020 Upper 95% = 5.0924 Lower 95% = -0.2924 Date_of_death = Apr2020 Upper 95% = 5.1924 Lower 95% = -0.1924 Date_of_death = Apr2020 Upper 95% = 5.1924 Lower 95% = -0.1924 Date_of_death = Mar2020 Upper 95% = 5.1924 Lower 95% = -0.1924 Date_of_death = Mar2020 Upper 95% = 5.1924 Lower 95% = -0.1924 Date_of_death = Feb2020 Upper 95% = 5.4424 Lower 95% = 0.0576 Date_of_death = Feb2020 Upper 95% = 5.4424 Lower 95% = 0.0576 Date_of_death = Jan2020 Upper 95% = 5.7424 Lower 95% = 0.3576 Date_of_death = Jan2020 Upper 95% = 5.7424 Lower 95% = 0.3576 Date_of_death = Dec2019 Upper 95% = 5.9589 Lower 95% = 0.5674 Date_of_death = Dec2019 Upper 95% = 5.9589 Lower 95% = 0.5674 Date_of_death = Nov2019 Upper 95% = 5.0115 Lower 95% = -0.3800 Date_of_death = Nov2019 Upper 95% = 5.0115 Lower 95% = -0.3800 Date_of_death = Oct2019 Upper 95% = 5.3800 Lower 95% = -0.0115 Date_of_death = Oct2019 Upper 95% = 5.3800 Lower 95% = -0.0115 Date_of_death = Sep2019 Upper 95% = 5.3273 Lower 95% = -0.0642
Forecast Plot